Kamis, 21 Agustus 2008

Models of Research Methods (and supporting information)

http://academic.evergreen.edu/curricular/ATPSMPA/researchmethodmodels.htm 21/08/08 06:52 AM WIB



Books, manuals and guides to research methods and evaluation http://gsociology.icaap.org/methods/books.htm

Resources for Research Methods and Evaluation, multiple sites to scroll through http://gsociology.icaap.org/methods/

Social Science Information System based at the University of Amsterdam http://www.sociosite.net/index.php

Large list of social science research resources, Scroll down to the list of resources starting with "Sociosite" http://dmoz.org/Science/Social_Sciences/Sociology/

Recommended Research Books on Methods http://research.mlanet.org/resbib.html

DocsCite (cite govt. documents using APA and MLA formats) http://www.asu.edu/lib/hayden/govdocs/docscite/docscite.htm

Graphics Tutorial: Click here to view power point presentation about graphics

A Method for Evaluating & Selecting Data Mining Software http://www.insight.nau.edu/downloads/hicss%20paper.pdf

Survey Research

Survey research method key definitions http://www2.chass.ncsu.edu/garson/PA765/survey.htm

Designing Public Opinion Surveys: Tutorial Click here to view powerpoint presentation

Pew Research Center: Information in the public interest http://pewresearch.org/

Survey Constructionhttp://www.apssa.uiuc.edu/content/conducting_surveys/conducting_surveys.html

University of Michigan Survey Research Center (sample projects) http://www.isr.umich.edu/src/projects.html

Why select the survey method? http://www.socialresearchmethods.net/kb/survey.htm

Cooperative Institutional Research Program (surveys of Higher Education) http://www.gseis.ucla.edu/heri/freshman.html

Conducting Surveys http://www.managementhelp.org/commskls/surveys/surveys.htm

A Toolkit for Evaluating Public R&D Investment http://www.atp.nist.gov/eao/gcr03-857/chapt5.htm

Southern Opinion Research http://www.southernopinion.com/surveyresearch/surveyresearch.html

Georgia State Poll Phone Survey http://aysps.gsu.edu/srp/georgiastatepoll/index.htm

Annotated Survey Research Bibliography http://www.bettycjung.net/Surveys.htm

Professor's survey method opens 'windows of consciousness' http://www.researchmatters.harvard.edu/story.php?article_id=111

Comparing Probability and Nonprobability Survey Sample Surveys http://www.stanford.edu/group/siqss/research/survey_quality_project_files/AAPORPresentation2005.pdf

Focus Groups

Focus group method key definitions http://www2.chass.ncsu.edu/garson/PA765/focusgroups.htm

Focus Group Research in American Politics http://www.pollingreport.com/focus.htm

Capital Beltway Update: Beltway User Focus Groups http://www.nhtsa.gov/people/injury/aggressive/aggressive%20capital%20beltway/introduction.html

Veterans Benefits Administration--Refreshments for Focus Groups http://www.gao.gov/decisions/appro/304718.htm

The Use & Misuse of Focus Groups http://www.useit.com/papers/focusgroups.html

Conducting Focus Groups http://www.managementhelp.org/grp_skll/focusgrp/focusgrp.htm

Focus Groups Tips for Beginners http://www-tcall.tamu.edu/orp/orp1.htm

Types of Focus Groups http://www.focus-research.com/methods.htm

On-line Focus Group Software http://www.gmi-mr.com/net-mr/online-focus-groups.phtml

Case Studies

Case Studies in Science (really good site) http://ublib.buffalo.edu/libraries/projects/cases/teaching/teaching.html

Case Study Method Term Definitions http://www2.chass.ncsu.edu/garson/pa765/cases.htm

Basics of Developing Case Studies & Samples http://www.managementhelp.org/evaluatn/casestdy.htm

Case Study Texts http://www.misq.org/discovery/MISQD_isworld/case.htm

Introduction to Case Study http://www.nova.edu/ssss/QR/QR3-2/tellis1.html

Assessing Student Learning and Skills Using the Case Study Method http://www.cecc.com.au/programs/resource_manager/accounts/jnbit/Issue5Paper4.pdf

The Case Study as Research Method http://www.gslis.utexas.edu/%7Essoy/usesusers/l391d1b.htm

A Toolkit for Evaluating Public R&D Investment http://www.atp.nist.gov/eao/gcr03-857/chapt6.htm

Analysis of State Efforts to Mitigate Regulatory Burdens on Small Businesses http://www.sba.gov/advo/research/rs219tot.pdf

Research Design Tasks in Case Study Methods http://www.georgetown.edu/faculty/bennetta/RESDES.htm

Process Tracing in Case Study Research http://www.georgetown.edu/faculty/bennetta/PROTCG.htm

Case Study Methods and Research on the Democratic Peace http://www.georgetown.edu/faculty/bennetta/APSA97.htm

Content Analysis

Content analysis method key definitions http://www2.chass.ncsu.edu/garson/PA765/content.htm

A Media Performance Analysis of the Community-Wide Education and Information Service Initiative http://www.bee.net/panthony/research/ProspMeth3.html

Content Analysis: Annotated Bibliography http://writing.colostate.edu/guides/research/content/pop2f.cfm

Secondary Data Analysis

Secondary Analysis of the NESARC and NSPY Datasets http://grants.nih.gov/grants/guide/rfa-files/RFA-DA-05-005.html

Unobtrusive research http://www.socialresearchmethods.net/kb/unobtrus.htm

Grounded Theory Method

Grounded theory: a thumbnail sketch http://www.scu.edu.au/schools/gcm/ar/arp/grounded.html

The Creation of Theory: A Recent Application of the Grounded Theory Method http://www.nova.edu/ssss/QR/QR2-4/pandit.html

References on Grounded Theory http://www.qual.auckland.ac.nz/grndrefs.htm

Introduction to Grounded Theory http://www.analytictech.com/mb870/introtoGT.htm

Developing Grounded Theory: Qualitative Analysis for Hard-Nosed Researchers http://www.langrust.com/grounded.htm

Using Grounded Theory in Nursing (book order form) http://www.springerpub.com/prod.aspx?prod_id=14067

Grounded Theory Research Design ~ Royal Windsor Society of Nurse Researchers http://www.research-nurses.com/grounded_theory_research_design.html

Sororities at Kenyon:Grounded Theory http://www2.kenyon.edu/Depts/WMNS/Projects/Wmns331/Methods/gtheory.htm

The use of a co-operative student model of learner characteristics to configure a multimedia application http://homepages.feis.herts.ac.uk/~comqtb/Contents.htm

Scanning the business environment for information: a grounded theory approach http://informationr.net/ir/2-4/paper21.html

Proceedings of the 2004 Symposium on Grounded Theory and Grounded Action http://home.mindspring.com/~tagregory/id3.html

GROUNDED THEORY METHOD AND ACCOUNTING RESEARCH http://aweb.bham.ac.uk//EAA/eaa97/abstracts/LYE.HTM and http://aaahq.org/abo/reporter/summer95/siegel.htm

Ethnography

Ethnographic research method key definitions http://www2.chass.ncsu.edu/garson/pa765/ethno.htm

GIS and Human-centered Systems Design: Using Ethnographic Data Collection and Analysis Methods to Design a Utility Permitting Support System http://www.urisa.org/Journal/Vol15No2/Ellis.pdf

REFLECTIONS Ethnographic Content Analysis http://www.public.asu.edu/~atdla/ethnographiccontentanalysis.pdf

Prenatal Marijuana Exposure and Neonatal Outcomes in Jamaica: An Ethnographic Study http://www.druglibrary.org/schaffer/hemp/medical/can-babies.htm

Exploring the Future of the Digital Divide Through Ethnographic Furtures Research http://www.firstmonday.org/issues/issue7_11/mitchell/index.html

Getting the Seats of Your Pants Dirty: Strategies for Ethnographic Research on Virtual Communities http://jcmc.indiana.edu/vol3/issue1/paccagnella.html

Participatory Action Research

Not to be confused with participant observation http://www2.chass.ncsu.edu/garson/PA765/particip.htm

PARTICIPATORY RESEARCH AND COMMUNITY ORGANIZING http://www.interweb-tech.com/nsmnet/docs/sohng.htm

Participatory Action Research: From Within and Beyond Prison Bars http://www.wnmu.org/gap/fine.htm

Responsible Research with Communities: Participatory Research in Primary Care http://napcrg.org/responsibleresearch.pdf

References on Action Research http://www.qual.auckland.ac.nz/action.htm

Advocacy Research

Community Toolbox (very useful site with examples and manuals) http://ctb.ku.edu/tools/tk/en/tools_tk_10.jsp

USA Freedom Corps and the President's Council on Service and Civic Participation http://www.usafreedomcorps.gov/about_usafc/newsroom/announcements_dynamic.asp?ID=1201

Mixed Mode

Toward a Public Lane on the Information Superhighway:

A Media Performance Analysis of the Community-Wide Education and Information Service Initiative

http://www.bee.net/panthony/research/ProspMeth2.html

Research Methods: Qualitative and Ethnographic

http://www.answers.com/topic/research-methods-qualitative-and-ethnographic 21/08/08 06:44 AM WIB

A qualitative approach to research generally involves the researcher in contact with participants in their natural setting to answer questions related to how the participants make sense of their lives. Qualitative researchers may observe the participants and conduct formal and informal interviews to further an understanding of what is going on in the setting from the point of view of those involved in the study. Ethnographic research shares these qualitative traits, but ethnographers more specifically seek understanding of what participants do to create the culture in which they live, and how the culture develops over time. This article further explores what it means to conduct qualitative and ethnographic research by looking at them historically and then by describing key characteristics of these approaches.

The Context in Education

Qualitative and ethnographic research developed in education in the late 1970s. Ethnographic researchers drew on theory and methods in anthropology and sociology, creating a distinction between ethnography of education (work undertaken by anthropologists and sociologists) and ethnography in education (work undertaken by educators to address educational issues). Other forms of qualitative research drew on theories from the humanities and other social and behavioral sciences, adapting this work to educational goals and concerns, often creating new forms (e.g., connoisseurship, a field method approach, interview approaches, and some forms of action research).

In the early development of these traditions, educational researchers struggled for acceptance by both other professionals and policymakers. This phase was characterized by arguments over the value of qualitative methods in contrast to the dominant paradigms of the time - quantitative and experimental approaches. Qualitative and ethnographic researchers argued that questions important to education were left unexamined by the dominant paradigms. Some qualitative researchers argued for the need to include and represent the voices of people in their research, particularly voices not heard in other forms of research involving large-scale studies.

Questions asked by qualitative and ethnographic researchers generally focus on understanding the local experiences of people as they engage in their everyday worlds (e.g., classrooms, peer groups, homes, communities). For example, some researchers explore questions about ways in which people gain, or fail to gain, access to ways of learning in a diverse world; others focus on beliefs people hold about education and learning; while still others examine how patterns learned within a group are consequential for participation in other groups and situations.

A broad range of perspectives and approaches exist, each with its own historical tradition and theoretical orientation. A number of common dimensions can be identified across these perspectives and approaches. Qualitative and ethnographic researchers in education are concerned with the positions they take relative to participants and data collected. For example, many qualitative and ethnographic researchers engage in observations over a period of time to identify patterns of life in a particular group.

The theoretical orientation chosen guides the design and implementation of the research, including the tools used to collect (e.g., participant observation, interviewing, and collecting artifacts) and analyze data (e.g., discourse analysis, document analysis, content analysis, and transcribing video/audio data). Theory also guides other decisions, including how to enter the field (e.g., the social group, classroom, home, and/or community center), what types and how much data to collect and records to make (e.g., videotape, audiotape, and/or field notes), who to interview (formally and/or informally), how long to remain in the field (e.g., for ethnography, one or more years), and what literature is relevant. It also influences relationships researchers establish with people in local settings, which in turn influences what can be known. Some theoretical perspectives guide researchers to observe what is occurring from a distance by taking the role of passive observer, recording information for analysis once they leave the field. Such researchers often do not interview participants, preferring to "ground" their observations in patterns in the data, without concern for what members understand. These descriptions are called etic, or outsider descriptions, because the observer is not concerned with members' understandings.

This approach is in contrast with ones in which researchers join the group and become active participant-observers, at times participating directly in events. Such researchers also make videotape records that enable them to step back from what they thought was occurring to examine closely what resulted from those actions. Those not using video or audio records reconstruct events by constructing retrospective field notes, drawing on their memories of what occurred to create a written record to analyze when they leave the field. Just which type of approach and position researchers take depends on their research goal (s) and theoretical orientation (s) as well as what participants permit.

Approaches to Research Questions

Research questions in a qualitative study are generated as part of the research process. Qualitative and ethnographic researchers often begin a study with one or more initiating question (s) or an issue they want to examine. Qualitative and ethnographic research approaches involve a process of interacting with data, reflecting on what is important to members in the local setting, and using this to generate new questions and refine the initial questions. This interactive and responsive process also influences the data that are collected and analyzed throughout the study. Therefore, it is common for researchers to construct more detailed questions that are generated as part of the analysis as they proceed throughout the study, or to abandon questions and generate ones more relevant to the local group or issues being studied.

For example, in one study of a fifth-grade classroom, the initial research questions were open ended and general: (1) What counts as community to the students and teacher in this classroom? (2) How do the participants construct community in this classroom? and (3) How is participating in this classroom consequential for students and the teacher? As the study unfolded, the research questions became more directed toward what the researcher was beginning to understand about this classroom in particular. After first developing an understanding of patterns of interactions among participants, the researcher began to formulate more specific questions: (1) What patterns of practice does the teacher construct to offer opportunities for learning? (2) What roles do the social and academic practices play in the construction of community in this classroom? and (3) What are the consequences for individuals and the collective when a member leaves and reenters the classroom community? This last question was one that could not have been anticipated but was important to understanding what students learned and when student learning occurred as well as what supported and constrained that learning. The shifts in questions constitute this researcher's logic of inquiry and need to be reported as part of the dynamic design of the study.

Approaches to Design and Data Collection

In designing qualitative studies, researchers consider ways of collecting data to represent the multiple voices and actions constituting the research setting. Typical techniques used in qualitative research for collecting data include observing in the particular setting, conducting interviews with various participants, and reviewing documents or artifacts. The degree to which these techniques are used depends on the nature of the particular research study and what occurs in the local group.

Some studies involve in-depth analysis of one setting or interviews of one group of people. Others involve a contrastive design from the beginning, seeking to understand how the practices of one group are similar to or different from another group. Others seek to study multiple communities to test hypotheses from the research literature (e.g., child-rearing practices are the same in all communities). What is common to all of these studies is that they are examining the qualities of life and experiences within a local situation. This is often called a situated perspective.

Entering the Field and Gaining Access to Insider Knowledge

Entering the research setting is one of the first phases of conducting fieldwork. Gaining access to the site is ongoing and negotiated with the participants throughout the study. As new questions arise, the researcher has to renegotiate access. For example, a researcher may find that the outcomes of standardized tests become an important issue for the teachers and students. The researcher may not have obtained permission to collect these data at the beginning of the study and must then negotiate permission from parents, students, teachers, and district personnel to gain access to these scores.

Qualitative research involves a social contract with those participating in the study, and informed consent is negotiated at each phase of the research when new information is needed or new areas of study are undertaken. At such points of renegotiation, researchers need to consider the tools necessary and the ways to participate within the group (e.g., as participant-observer and/or observer-participant, as interviewer of one person or as a facilitator of a focus group, or as analyst of district data or student products). How the researcher conducts observations, collects new forms of data, and analyzes such data is related to shifts in questions and/or theoretical stance (s) necessary to understand what is occurring.

Research Tools

One of the most frequently used tools, in addition to participant observation, is interviewing. For ethnography and other types of field research, interviews occur within the context of the ongoing observations and collection of artifacts. These interviews are grounded in what is occurring in the local context, both within and across time. Some interviews are undertaken to gain insider information about what the researcher is observing or to test out the developing theory that the researcher is constructing.

In contrast, other forms of qualitative research may use interviews as the sole form of data collection. Such interviews also seek meanings that individuals or groups have for their own experience or of observed phenomena. These interviews, however, form the basis for analysis and do not require contextual information from observations. What the people say becomes the basis for exploration, not what was observed.

Other tools used by qualitative and ethnographic researchers include artifact and document analysis (artifacts being anything people make and use). The researcher in a field-based study collects artifacts produced and/or used by members of the group, identifies how these artifacts function for the individual and/or the group, and explores how members talk about and name these artifacts. For some theoretical positions, the artifacts may be viewed as a type of participant in the local event (e.g., computer programs as participants). Some artifacts, such as documents, are examined for links to other events or artifacts. This form of analysis builds on the understanding that the past (and future) is present in these artifacts and that intertextual links between and among events are often inscribed in such documents. In some cases, qualitative researchers may focus solely on a set of artifacts (e.g., student work, linked sets of laws, a photograph collection, or written texts in the environment - environmental print). Such studies seek to examine the range of texts or materials constructed, the patterned ways in which the texts are constructed, and how the choices of focus or discourse inscribe the views that members have of self and others as well as what is possible in their worlds.

Although some qualitative studies focus solely on the documents, field-based researchers generally move between document analysis and an exploration of the relationship of the document to past, present, and future actions of individuals and/or groups. These studies seek to understand the importance of the artifact or document within the lives of those being studied.

Ongoing Data Analysis

While conducting fieldwork, researchers reread their field notes and add to them any relevant information that they were not able to include at the time of first writing the notes. While reviewing their field notes, researchers look for themes and information relevant to the research questions. They note this information in the form of theoretical notes (or write theoretical memos to themselves) that may include questions about repeated patterns, links to other theories, and conceptual ideas they are beginning to develop. They also make methodological notes to reconstruct their thinking and their logic of inquiry. Sometimes they make personal notes that reflect their thoughts and feelings about what they are observing or experiencing. These notes allow them to keep from imposing their own opinion on data, helping them to focus on what is meaningful or important to those with whom they are working.

Researchers constantly use contrast to build interpretations that are grounded in the data, within and across actors, events, times, actions, and activities that constitute the social situations of everyday life. Many qualitative (particularly ethnographic) researchers examine material, activity, semiotic (meaning-carrying), and/or social dimensions of everyday life and its consequences for members. The analytic principles of practice that they use include comparing and contrasting data, methods, theories, and perspectives; examining part-whole relationships between and among actions, events, and actors; seeking insider (emic) understandings of experiences, actions, practices, and events; and identifying through these what is relevant to the local group.

Reporting Research Findings

The final step in qualitative and ethnographic research is writing an account. The researchers make choices about how to represent the data that illustrate what was typical about the particular group being studied. Another choice might be to highlight actions of the group that were illustrative of their particular patterns of beliefs. In some studies, several cases are chosen to make visible comparisons across different activities within the group, or across different groups that may have some activities in common. For example, researchers who study classroom interactions might bring together data from different classrooms to make visible principles of practice that are similar in general terms such as asking students to understand various points of view. However, in each classroom, the actions of juxtaposing points of view will be carried out differently due to the different experiences within each classroom.

Researchers also select genres for writing the report that best enable the intended audience to understand what the study made visible that was not previously known or that extended previous knowledge. The researcher does not seek to generalize from the specific case. Rather, qualitative or ethnographic researchers provide in-depth descriptions that lead to general patterns. These patterns are then examined in other situations to see if, when, and how they occur and what consequences they have for what members in the new setting can know, do, understand, and/or produce. In qualitative and ethnographic studies this is often referred to as transferability, in contrast to generalizability.

Bibliography

Denzin, Norman, and Lincoln, Yvonna, eds. 1994. Handbook of Qualitative Research. Thousand Oaks, CA: Sage.

Erickson, Fredrick. 1986. "Qualitative Research." In The Handbook of Research on Teaching, 3rd edition, ed. Merle Wittrock. New York: Macmillan.

Flood, James; Jensen, Julie; Lapp, Diane; and Squire, James, eds. 1990. Handbook of Research on Teaching the English Language Arts. New York: Macmillan.

Gee, James, and Green, Judith. 1998. "Discourse Analysis, Learning, and Social Practice: A Methodological Study." Review of Research in Education 23:119 - 169.

Gillmore, Perry, and Glatthorn, Alan, eds. Children In and Out of School: Ethnography and Education. Washington, DC: Center for Applied Linguistics.

Green, Judith; Dixon, Carol; and Zaharlick, Amy. 2002. "Ethnography as a Logic of Inquiry." In Handbook for Methods of Research on English Language Arts Teaching, ed. James Flood, Julie Jensen, Diane Lapp, and James Squire. New York: Macmillan.

Hammersley, Martin, and Atkinson, Paul. 1995. Ethnography: Principles in Practice, 2nd edition. New York: Routledge.

Kvale, Steinar. 1996. Interviews: An Introduction to Qualitative Research Interviewing. Thousand Oaks, CA: Sage.

LeCompte, Margaret; Millroy, Wendy; and Preissle, Judith, eds. 1992. The Handbook of Qualitative Research in Education. San Diego, CA: Academic Press.

Linde, Charlotte. 1993. Life Stories: The Creation of Coherence. New York: Oxford University Press.

Ochs, Elinor. 1979. "Transcription as Theory." In Developmental Pragmatics, ed. Elinor Ochs and Bambi B. Schieffelin. New York: Academic Press.

Putney, LeAnn; Green, Judith; Dixon, Carol; and Kelly, Gregory. 1999. "Evolution of Qualitative Research Methodology: Looking beyond Defense to Possibilities." Reading Research Quarterly 34:368 - 377.

Richardson, Virginia. 2002. Handbook for Research on Teaching, 4th edition. Mahwah, NJ: Erlbaum.

Spradley, James. 1980. Participant Observation. New York: Holt, Rinehart and Winston.

Strike, Kenneth. 1974. "On the Expressive Potential of Behaviorist Language." American Educational Research Journal 11:103 - 120.

Van Maanen, John. 1988. Tales of the Field: On Writing Ethnography. Chicago: University of Chicago Press.

Wolcott, Harry. 1992. "Posturing in Qualitative Research." In The Handbook of Qualitative Research in Education, ed. Margaret LeCompte, Wendy Millroy, and Judith Preissle. New York: Academic Press.

— TAMMY BOURG

Overview of Research Methods

http://www.answers.com/topic/overview-of-research-methods 21/08/08 06:41 AM WIB

How do people learn to be effective teachers? What percentage of American students has access to computers at home? What types of assessments best measure learning in science classes? Do college admission tests place certain groups at a disadvantage? Can students who are at risk for dropping out of high school be identified? What is the impact of new technologies on school performance? These are some of the many questions that can be informed by the results of research.

Although research is not the only source used for seeking answers to such questions, it is an important one and the most reliable if executed well. Research is a process in which measurements are taken of individuals or organizations and the resulting data are subjected to analysis and interpretation. Special care is taken to provide as accurate an answer as possible to the posed question by subjecting "beliefs, conjectures, policies, positions, sources of ideas, traditions, and the like … to maximum criticism, in order to counteract and eliminate as much intellectual error as possible" (Bartley, pp. 139 - 140). In collecting the necessary information, a variety of methodologies and procedures can be used, many of which are shared by such disciplines as education, psychology, sociology, cognitive science, anthropology, history, and economics.

Evidence - the Foundation of Research

In education, research is approached from two distinct perspectives on how knowledge should be acquired. Research using quantitative methods rests on the belief that individuals, groups, organizations, and the environments in which they operate have an objective reality that is relatively constant across time and settings. Consequently, it is possible to construct measures that yield numerical data on this reality, which can then be further probed and interpreted by statistical analyses. In contrast, qualitative research methods are rooted in the conviction that "features of the social environment are constructed as interpretations by individuals and that these interpretations tend to be transitory and situational" (Gall, Borg, and Gall, p. 28). It is only through intensive study of specific cases in natural settings that these meanings and interpretations can be revealed and common themes educed. Although debate over which perspective is "right" continues, qualitative and quantitative research share a common feature - data are at the center of all forms of inquiry.

Fundamentally, data gathering boils down to two basic activities: Researchers either ask individuals (or other units) questions or observe behavior. More specifically, individuals can be asked about their attitudes, beliefs, and knowledge about past or current behaviors or experiences. Questions can also tap personality traits and other hypothetical constructs associated with individuals. Similarly, observations can take on a number of forms: (1) the observer can be a passive transducer of information or an active participant in the group being observed;(2) those being observed may or may not be aware that their behavior is being chronicled for research purposes; and (3) data gathering can be done by a human recorder or through the use of technology (e.g., video cameras or other electronic devices). Another distinction that is applicable to both forms of data gathering is whether the data are developed afresh within the study (i.e., primary data) or stem from secondary sources (e.g., data archives; written documents such as academic transcripts, individualized educational plans, or teacher notes; and artifacts that are found in natural settings). Artifacts can be very telling about naturally occurring phenomena. These can involve trace and accretion measures - that is, "residue" that individuals leave behind in the course of their daily lives. Examples include carpet wear in front of exhibits at children's museums (showing which exhibits are the most popular), graffiti written on school buildings, and websites visited by students.

What should be clear from this discussion so far is that there exists a vast array of approaches to gathering evidence about educational and social phenomena. Although reliance on empirical data distinguishes research-based disciplines from other modes of knowing, decisions about what to gather and how to structure the data gathering process need to be governed by the purpose of the research. In addition, a thoughtful combination of data gathering approaches has the greater chance of producing the most accurate answer.

Purposes of Research

The array of questions listed in the introductory paragraph suggests that research is done for a variety of purposes. These include exploring, describing, predicting, explaining, or evaluating some phenomenon or set of phenomena. Some research is aimed at replicating results from previous studies; other research is focused on quantitatively synthesizing a body of research. These two types of efforts are directed at strengthening a theory, verifying predictions, or probing the robustness of explanations by seeing if they hold true for different types of individuals, organizations, or settings.

Exploration. Very little may be known about some phenomena such as new types of settings, practices, or groups. Here, the research question focuses on identifying salient characteristics or features that merit further and more concerted examination in additional studies.

Description. Often, research is initiated to carefully describe a phenomenon or problem in terms of its structure, form, key ingredients, magnitude, and/or changes over time. The resulting profiles can either be qualitative or narrative, quantitative (e.g., x number of people have this characteristic), or a mixture of both. For example, the National Center for Education Statistics collects statistical information about several aspects of education and monitors changes in these indicators over time. The information covers a broad range of topics, most of which are chosen because of their interest to policymakers and educational personnel.

Prediction. Some questions seek to predict the occurrence of specific phenomena or states on the basis of one or more other characteristics. Short-and long-term planning are often the main rationale for this type of research.

Explanation. It is possible to be able to predict the occurrence of a certain phenomenon but not to know exactly why this relationship exists. In explanatory research, the aim is to not only predict the out-come or state of interest but also understand the mechanisms and processes that result in one variable causing another.

Evaluation. Questions of this nature focus on evaluating or judging the worth of something, typically an intervention or program. Of primary interest is to learn whether an organized set of activities that is aimed at correcting some problem (e.g., poor academic skills, low self-esteem, disruptive behavior) is effective. When these efforts are targeted at evaluating the potential or actual success of policies, regulations, and laws, this is often known as policy analysis.

Replication. Some questions revolve around whether a demonstrated relationship between two variables (e.g., predictive value of the SAT in college persistence) can be again found in different populations or different types of settings. Because few studies can incorporate all relevant populations and settings, it is important to determine how generalizable the results of a study to a particular group or program are.

Synthesis. Taking stock of what is known and what is not known is a major function of research. "Summing-up" a body of prior research can take quantitative (e.g., meta-analysis) and qualitative (narrative summaries) forms.

Types of Research Methods

The purpose or purposes underlying a research study guide the choice of the specific research methods that are used. Any individual research study may address multiple questions, not all of which share the same purpose. Consequently, more than one research method may be incorporated into a particular research effort. Because methods of investigation are not pure (i.e., free of bias), several types of data and methods of gathering data are often used to "triangulate" on the answer to a specific question.

Measurement development. At the root of most inquiry is the act of measuring key conceptual variables of interest (e.g., learning strategies, intrinsic motivation, learning with understanding). When the outcomes being measured are important (e.g., grade placement, speech therapy, college admission), considerable research is often needed prior to conducting the main research study to ensure that the measure accurately describes individuals' status or performance. This can require substantial data collection and analysis in order to determine the measure's reliability, validity, and sensitivity to change; for some measures, additional data from a variety of diverse groups must be gathered for establishing norms that can assist in interpretation. With the exception of exploratory research, the quality of most studies relies heavily upon the degree to which the data-collection instruments provide reliable and valid information on the variables of interest.

Survey methodology. Survey research is primarily aimed at collecting self-report information about a population by asking questions directly of some sample of it. The members of the target population can be individuals (e.g., local teachers), organizations (e.g., parent - teacher associations), or other recognized bodies (e.g., school districts or states). The questions can be directed at examining attitudes and preferences, facts, previous behaviors, and past experiences. Such questions can be asked by interviewers either face-to-face or on the telephone; they can also be self-administered by distributing them to groups (e.g., students in classrooms) or delivering them via the mail, e-mail, or the Internet.

High-quality surveys devote considerable attention to reducing as much as possible the major sources of error that can bias the results. For example, the target population needs to be completely enumerated so that important segments or groups are not unintentionally excluded from being eligible to participate. The sample is chosen in a way as to be representative of the population of interest, which is best accomplished through the use of probability sampling. Substantial time is given to constructing survey questions, pilot testing them, and training interviewers so that item wording, question presentation and format, and interviewing styles are likely to encourage thoughtful and accurate responses. Finally, concerted efforts are used to encourage all sampled individuals to complete the interview or questionnaire.

Surveys are mainly designed for description and prediction. Because they rarely involve the manipulation of independent variables or random assignment of individuals (or units) to conditions, they generally are less useful by themselves for answering explanatory and effects-oriented evaluative questions. If survey research is separated into its two fundamental components - sampling and data gathering through the use of questionnaires - it is easy to see that survey methods are embedded within experimental and quasi-experimental studies. For example, comparing learning outcome among students enrolled in traditional classroom-based college courses with those of students completing the course through distance learning would likely involve the administration of surveys that assess student views of the instructor and their satisfaction with how the course was taught. As another illustration, a major evaluation of Sesame Street that randomly assigned classrooms to in-class viewing of the program involved not only administering standardized reading tests to the students participating but also surveys of teachers and parents. So, in this sense, many forms of inquiry can be improved by using state-of-the-art methods in questionnaire construction and measurement.

Observational methods. Instead of relying on individuals' self-reports of events, researchers can conduct their own observations. This is often preferable when there is a concern that individuals may misreport the requested information, either deliberately or inadvertently (e.g., they cannot remember). In addition, some variables are better measured by direct observation. For example, in comparing direct observations of how long teachers lecture in a class as opposed to asking teachers to self-report the time they spent lecturing; it should be obvious that the latter could be influenced (biased upward or downward) by how the teachers believe the researcher wants them to respond.

Observational methods are typically used in natural settings, although, as with survey methods, observations can be made of behaviors even in experimental and quasi-experimental studies. Both quantitative and qualitative observation strategies are possible. Quantitative strategies involve either training observers to record the information of interest in a systematic fashion or employing audiotape recorders, video cameras, and other electronic devices. When observers are used, they must be trained and monitored as to what should be observed and how it should be recorded (e.g., the number of times that a target behavior occurs during an agreed-upon time period).

Qualitative observational methods are distinctly different in several ways. First, rather than coding a prescribed set of behaviors, the focus of the observations is deliberately left more open-ended. By using open-ended observation schemes, the full range of individuals' responses to an environment can be recorded. That is, observations are much broader in contrast to quantitative observational strategies that focus on specific behaviors. Second, observers do not necessarily strive to remain neutral about what they are observing and may include their own feelings and experiences in interpreting what happened. Also, observers who employ quantitative methods do not participate in the situations that they are observing. In contrast, observers in qualitative research are not typically detached from the setting being studied; rather, they are more likely to be complete participants where the researcher is a member of the setting that is being observed.

Qualitative strategies are typically used to answer exploratory questions as they help identify important variables and hypotheses about them. They also are commonly used to answer descriptive questions because they can provide in-depth information about groups and situations. Although qualitative strategies have been used to answer predictive, explanatory, and evaluative questions, they are less able to yield results that can eliminate all rival explanations for causal relationships.

Experimental methods. Experimental research methods are ideally suited for examining explanatory questions that seek to ascertain whether a cause-and-effect relationship exists among two or more variables. In experiments, the researcher directly manipulates the cause (the independent variable), assigns individuals randomly to various levels of the independent variable, and measures their responses (the expected effect). Ideally, the researcher has a high degree of control over the presentation of the purported cause - where, when, and in what form it is delivered; who receives it; and when and how the effect is measured. This level of control helps rule out alternative or rival explanations for the observed results. Exercising this control typically requires that the research be done under laboratory or contrived conditions rather than in natural settings. Experimental methods, however, can also be used in real-world settings - these are commonly referred to as field experiments.

Conducting experiments in the field is more difficult inasmuch as the chances increase that integral parts of the experimental method will be compromised. Participants may be more likely to leave the study and thus be unavailable for measurement of the outcomes of interest. Subjects who are randomly assigned to the control group, which may receive no tutoring, may decide to obtain help on their own - assistance that resembles the intervention being tested. Such problems essentially work against controlling for rival explanations and the key elements of the experimental method are sacrificed. Excellent discussions of procedures for conducting field experiments can be found in the 2002 book Experimental and Quasi-Experimental Designs for Generalized Causal Inference, written by William R. Shadish, Thomas D. Cook, and Donald T. Campbell, and in Robert F. Boruch's 1997 book Randomized Field Experiments for Planning and Evaluation: A Practical Guide.

Quasi-experimental methods. As suggested by its name, the methods that comprise quasi-experimental research approximate experimental methodologies. They are directed at fulfilling the same purposes - explanation and evaluation - but may provide more equivocal answers than experimental designs. The key characteristic that distinguishes quasi experiments from experiments is the lack of random assignment. Because of this, researchers must make concerted efforts to rule out the plausible rival hypotheses that random assignment is designed to eliminate.

Quasi-experimental designs constitute a core set of research strategies because there are many instances in which it is impossible to successfully assign participants randomly to different conditions or levels of the independent variable. For example, the first evaluation of Sesame Street that was conducted by Samuel Ball and Gerry Bogatz in 1970 was designed as a randomized experiment where individual children in five locations were randomly assigned to either be encouraged to watch the television program (and be observed in their homes doing it) or not encouraged. Classrooms in these locations were also either given television sets or not, and teachers in classrooms with television sets were encouraged to allow the children to view the show at least three days per week. The study, however, turned into a quasi experiment because Sesame Street became so popular that children in the control group (who were not encouraged to watch) ended up watching a considerable number of shows.

The two most frequently used quasi-experimental strategies are time-series designs and nonequivalent comparison group designs, each of which has some variations. In time-series designs, the dependent variable or expected effect is measured several times before and after the independent variable is introduced. For example, in a study of a zero tolerance policy, the number of school incidents related to violence and substance use are recorded on a monthly basis for twelve months before the policy is introduced and twelve or more months after its implementation. If a noticeable reduction in incidents occurs soon after the new policy is introduced and the reduction persists, one can be reasonably confident that the new policy was responsible for the observed increase if no other events occurred that could have resulted in a decline and there was evidence that the policy was actually enforced. This confidence may be even stronger if data are collected on schools that have similar student populations and characteristics but no zero tolerance policies during the same period and there is no reduction in illegal substance and violence-related incidents.

Establishing causal relationships with the nonequivalent comparison group design is typically more difficult. This is because when groups are formed in ways other than random assignment (e.g., participant choice), this often means that they differ in other ways that affect the outcome of interest. For example, suppose that students who are having problems academically are identified and allowed to choose to be involved or not involved in an after-school tutoring program. Those who decide to enroll are also those who may be more motivated to do well, who may have parents who are willing to help their children improve, and who may differ in other ways from those who choose not to stay after school. They may also have less-serious academic problems. Such factors all may contribute to these students exhibiting higher academic gains than their nontutored counterparts do when after-tutoring testing has been completed. It is difficult, however, to disen-tangle the role that tutoring contributed to any observed improvement from these other features. The use of well-validated measures of these characteristics for both groups prior to receiving or not receiving tutoring can help in this process, but the difficulty is to identify and measure all the key variables other than tutoring receipt that can influence the observed outcomes.

Secondary analysis and meta-analysis. Both secondary analysis and meta-analysis are part of the arsenal of quantitative research methods, and both rely on research data already collected by other studies. They are invaluable tools for informing questions that seek descriptive, predictive, explanatory, or evaluative answers. Studies that rely on secondary analysis focus on examining and reanalyzing the raw data from prior surveys, experiments, and quasi experiments. In some cases, the questions prompting the analysis are ones that were not examined by the original investigator; in other cases, secondary analysis is performed because the researcher disagrees to some extent with the original conclusions and wants to probe the data, using different statistical techniques.

Secondary analyses occupy a distinct place in educational research. Since the 1960s federal agencies have sponsored several large-scale survey and evaluation efforts relevant to education, which have been analyzed by other researchers to re-examine the reported results or answer additional questions not addressed by the original researchers. Two examples, both conducted by the National Center for Education Statistics, include the High School and Beyond Survey, which tracks seniors and sophomores as they progress through high school and college and enter the workplace; and the Schools and Staffing Survey, which regularly collects data on the characteristics and qualifications of teachers and principals, class size, and other school conditions.

The primary idea underlying meta-analysis or research synthesis methods is to go beyond the more traditional, narrative literature reviews of research in a given area. The process involves using systematic and comprehensive retrieval practices for accumulating prior studies, quantifying the results by using a common metric (such as the effect size), and statistically combining this collection of results. In general, the reported results that are used from studies involve intermediate statistics such as means, standard deviations, proportions, and correlations.

The use of meta-analysis grew dramatically in the 1990s. Its strength is that it allows one to draw conclusions across multiple studies that addressed the same question (e.g., what have been the effects of bilingual education?) but used different measures, populations, settings, and study designs. The use of both secondary analysis and meta-analysis has increased the longer-term value of individual research efforts, either by increasing the number of questions that can be answered from one large-scale survey or by looking across several small-scale studies that seek answers to the same question. These research methods have contributed much in addressing policymakers' questions in a timely fashion and to advancing theories relevant to translating educational research into recommended practices.

Bibliography

Ball, Samuel, and Bogatz, Gerry A. 1970. The First Year of Sesame Street: An Evaluation. Princeton, NJ: Educational Testing Service.

Bartley, William W., III. 1962. The Retreat to Commitment. New York: Knopf.

Boruch, Robert F. 1997. Randomized Field Experiments for Planning and Evaluation: A Practical Guide. Thousand Oaks, CA: Sage.

Bryk, Anthony S., and Raudenbush, Stephen W. 1992. Hierarchical Linear Models: Applications and Data Analysis Methods. Newbury Park, CA: Sage.

Cook, Thomas D.; Cooper, Harrison; Cordray, David S.; Hartmann, Heidi; Hedges, Larryv.; Light, Richard J.; Louis, Thomas A.; and Mosteller, Frederick, eds. 1992. Metaanalysisfor Explanation: A Casebook. New York: Russell Sage Foundation.

Cooper, Harrison, and Hedges, Larry V., eds. 1994. The Handbook of Research Synthesis. New York: Russell Sage Foundation.

Gall, Meridith D.; Borg, Walter R.; and Gall, Joyce P. 1966. Educational Research: An Introduction, 6th edition. White Plains, NY: Long-man

Shadish, William R.; Cook, Thomas D.; and Campbell, Donald T. 2002. Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Boston: Houghton Mifflin.

— TAMMY BOURG

The Case Study as a Research Method

http://www.gslis.utexas.edu/~ssoy/usesusers/l391d1b.htm 21/08/08 06:23 AM WIB

Introduction

Case study research excels at bringing us to an understanding of a complex issue or object and can extend experience or add strength to what is already known through previous research. Case studies emphasize detailed contextual analysis of a limited number of events or conditions and their relationships. Researchers have used the case study research method for many years across a variety of disciplines. Social scientists, in particular, have made wide use of this qualitative research method to examine contemporary real-life situations and provide the basis for the application of ideas and extension of methods. Researcher Robert K. Yin defines the case study research method as an empirical inquiry that investigates a contemporary phenomenon within its real-life context; when the boundaries between phenomenon and context are not clearly evident; and in which multiple sources of evidence are used (Yin, 1984, p. 23).

Critics of the case study method believe that the study of a small number of cases can offer no grounds for establishing reliability or generality of findings. Others feel that the intense exposure to study of the case biases the findings. Some dismiss case study research as useful only as an exploratory tool. Yet researchers continue to use the case study research method with success in carefully planned and crafted studies of real-life situations, issues, and problems. Reports on case studies from many disciplines are widely available in the literature.

This paper explains how to use the case study method and then applies the method to an example case study project designed to examine how one set of users, non-profit organizations, make use of an electronic community network. The study examines the issue of whether or not the electronic community network is beneficial in some way to non-profit organizations and what those benefits might be.

Many well-known case study researchers such as Robert E. Stake, Helen Simons, and Robert K. Yin have written about case study research and suggested techniques for organizing and conducting the research successfully. This introduction to case study research draws upon their work and proposes six steps that should be used:

  • Determine and define the research questions
  • Select the cases and determine data gathering and analysis techniques
  • Prepare to collect the data
  • Collect data in the field
  • Evaluate and analyze the data
  • Prepare the report

Step 1. Determine and Define the Research Questions

The first step in case study research is to establish a firm research focus to which the researcher can refer over the course of study of a complex phenomenon or object. The researcher establishes the focus of the study by forming questions about the situation or problem to be studied and determining a purpose for the study. The research object in a case study is often a program, an entity, a person, or a group of people. Each object is likely to be intricately connected to political, social, historical, and personal issues, providing wide ranging possibilities for questions and adding complexity to the case study. The researcher investigates the object of the case study in depth using a variety of data gathering methods to produce evidence that leads to understanding of the case and answers the research questions.

Case study research generally answers one or more questions which begin with "how" or "why." The questions are targeted to a limited number of events or conditions and their inter-relationships. To assist in targeting and formulating the questions, researchers conduct a literature review. This review establishes what research has been previously conducted and leads to refined, insightful questions about the problem. Careful definition of the questions at the start pinpoints where to look for evidence and helps determine the methods of analysis to be used in the study. The literature review, definition of the purpose of the case study, and early determination of the potential audience for the final report guide how the study will be designed, conducted, and publicly reported.

Step 2. Select the Cases and Determine Data Gathering and Analysis Techniques

During the design phase of case study research, the researcher determines what approaches to use in selecting single or multiple real-life cases to examine in depth and which instruments and data gathering approaches to use. When using multiple cases, each case is treated as a single case. Each cases conclusions can then be used as information contributing to the whole study, but each case remains a single case. Exemplary case studies carefully select cases and carefully examine the choices available from among many research tools available in order to increase the validity of the study. Careful discrimination at the point of selection also helps erect boundaries around the case.

The researcher must determine whether to study cases which are unique in some way or cases which are considered typical and may also select cases to represent a variety of geographic regions, a variety of size parameters, or other parameters. A useful step in the selection process is to repeatedly refer back to the purpose of the study in order to focus attention on where to look for cases and evidence that will satisfy the purpose of the study and answer the research questions posed. Selecting multiple or single cases is a key element, but a case study can include more than one unit of embedded analysis. For example, a case study may involve study of a single industry and a firm participating in that industry. This type of case study involves two levels of analysis and increases the complexity and amount of data to be gathered and analyzed.

A key strength of the case study method involves using multiple sources and techniques in the data gathering process. The researcher determines in advance what evidence to gather and what analysis techniques to use with the data to answer the research questions. Data gathered is normally largely qualitative, but it may also be quantitative. Tools to collect data can include surveys, interviews, documentation review, observation, and even the collection of physical artifacts.

The researcher must use the designated data gathering tools systematically and properly in collecting the evidence. Throughout the design phase, researchers must ensure that the study is well constructed to ensure construct validity, internal validity, external validity, and reliability. Construct validity requires the researcher to use the correct measures for the concepts being studied. Internal validity (especially important with explanatory or causal studies) demonstrates that certain conditions lead to other conditions and requires the use of multiple pieces of evidence from multiple sources to uncover convergent lines of inquiry. The researcher strives to establish a chain of evidence forward and backward. External validity reflects whether or not findings are generalizable beyond the immediate case or cases; the more variations in places, people, and procedures a case study can withstand and still yield the same findings, the more external validity. Techniques such as cross-case examination and within-case examination along with literature review helps ensure external validity. Reliability refers to the stability, accuracy, and precision of measurement. Exemplary case study design ensures that the procedures used are well documented and can be repeated with the same results over and over again.

Step 3. Prepare to Collect the Data

Because case study research generates a large amount of data from multiple sources, systematic organization of the data is important to prevent the researcher from becoming overwhelmed by the amount of data and to prevent the researcher from losing sight of the original research purpose and questions. Advance preparation assists in handling large amounts of data in a documented and systematic fashion. Researchers prepare databases to assist with categorizing, sorting, storing, and retrieving data for analysis.

Exemplary case studies prepare good training programs for investigators, establish clear protocols and procedures in advance of investigator field work, and conduct a pilot study in advance of moving into the field in order to remove obvious barriers and problems. The investigator training program covers the basic concepts of the study, terminology, processes, and methods, and teaches investigators how to properly apply the techniques being used in the study. The program also trains investigators to understand how the gathering of data using multiple techniques strengthens the study by providing opportunities for triangulation during the analysis phase of the study. The program covers protocols for case study research, including time deadlines, formats for narrative reporting and field notes, guidelines for collection of documents, and guidelines for field procedures to be used. Investigators need to be good listeners who can hear exactly the words being used by those interviewed. Qualifications for investigators also include being able to ask good questions and interpret answers. Good investigators review documents looking for facts, but also read between the lines and pursue collaborative evidence elsewhere when that seems appropriate. Investigators need to be flexible in real-life situations and not feel threatened by unexpected change, missed appointments, or lack of office space. Investigators need to understand the purpose of the study and grasp the issues and must be open to contrary findings. Investigators must also be aware that they are going into the world of real human beings who may be threatened or unsure of what the case study will bring.

After investigators are trained, the final advance preparation step is to select a pilot site and conduct a pilot test using each data gathering method so that problematic areas can be uncovered and corrected. Researchers need to anticipate key problems and events, identify key people, prepare letters of introduction, establish rules for confidentiality, and actively seek opportunities to revisit and revise the research design in order to address and add to the original set of research questions.

4. Collect Data in the Field

The researcher must collect and store multiple sources of evidence comprehensively and systematically, in formats that can be referenced and sorted so that converging lines of inquiry and patterns can be uncovered. Researchers carefully observe the object of the case study and identify causal factors associated with the observed phenomenon. Renegotiation of arrangements with the objects of the study or addition of questions to interviews may be necessary as the study progresses. Case study research is flexible, but when changes are made, they are documented systematically.

Exemplary case studies use field notes and databases to categorize and reference data so that it is readily available for subsequent reinterpretation. Field notes record feelings and intuitive hunches, pose questions, and document the work in progress. They record testimonies, stories, and illustrations which can be used in later reports. They may warn of impending bias because of the detailed exposure of the client to special attention, or give an early signal that a pattern is emerging. They assist in determining whether or not the inquiry needs to be reformulated or redefined based on what is being observed. Field notes should be kept separate from the data being collected and stored for analysis.

Maintaining the relationship between the issue and the evidence is mandatory. The researcher may enter some data into a database and physically store other data, but the researcher documents, classifies, and cross-references all evidence so that it can be efficiently recalled for sorting and examination over the course of the study.

Step 5. Evaluate and Analyze the Data

The researcher examines raw data using many interpretations in order to find linkages between the research object and the outcomes with reference to the original research questions. Throughout the evaluation and analysis process, the researcher remains open to new opportunities and insights. The case study method, with its use of multiple data collection methods and analysis techniques, provides researchers with opportunities to triangulate data in order to strengthen the research findings and conclusions.

The tactics used in analysis force researchers to move beyond initial impressions to improve the likelihood of accurate and reliable findings. Exemplary case studies will deliberately sort the data in many different ways to expose or create new insights and will deliberately look for conflicting data to disconfirm the analysis. Researchers categorize, tabulate, and recombine data to address the initial propositions or purpose of the study, and conduct cross-checks of facts and discrepancies in accounts. Focused, short, repeat interviews may be necessary to gather additional data to verify key observations or check a fact.

Specific techniques include placing information into arrays, creating matrices of categories, creating flow charts or other displays, and tabulating frequency of events. Researchers use the quantitative data that has been collected to corroborate and support the qualitative data which is most useful for understanding the rationale or theory underlying relationships. Another technique is to use multiple investigators to gain the advantage provided when a variety of perspectives and insights examine the data and the patterns. When the multiple observations converge, confidence in the findings increases. Conflicting perceptions, on the other hand, cause the researchers to pry more deeply.

Another technique, the cross-case search for patterns, keeps investigators from reaching premature conclusions by requiring that investigators look at the data in many different ways. Cross-case analysis divides the data by type across all cases investigated. One researcher then examines the data of that type thoroughly. When a pattern from one data type is corroborated by the evidence from another, the finding is stronger. When evidence conflicts, deeper probing of the differences is necessary to identify the cause or source of conflict. In all cases, the researcher treats the evidence fairly to produce analytic conclusions answering the original "how" and "why" research questions.

Step 6. Prepare the report

Exemplary case studies report the data in a way that transforms a complex issue into one that can be understood, allowing the reader to question and examine the study and reach an understanding independent of the researcher. The goal of the written report is to portray a complex problem in a way that conveys a vicarious experience to the reader. Case studies present data in very publicly accessible ways and may lead the reader to apply the experience in his or her own real-life situation. Researchers pay particular attention to displaying sufficient evidence to gain the readers confidence that all avenues have been explored, clearly communicating the boundaries of the case, and giving special attention to conflicting propositions.

Techniques for composing the report can include handling each case as a separate chapter or treating the case as a chronological recounting. Some researchers report the case study as a story. During the report preparation process, researchers critically examine the document looking for ways the report is incomplete. The researcher uses representative audience groups to review and comment on the draft document. Based on the comments, the researcher rewrites and makes revisions. Some case study researchers suggest that the document review audience include a journalist and some suggest that the documents should be reviewed by the participants in the study.

Applying the Case Study Method to an Electronic Community Network

By way of example, we apply these six steps to an example study of multiple participants in an electronic community network. All participants are non-profit organizations which have chosen an electronic community network on the World Wide Web as a method of delivering information to the public. The case study method is applicable to this set of users because it can be used to examine the issue of whether or not the electronic community network is beneficial in some way to the organization and what those benefits might be.

Step 1. Determine and Define the Research Questions

In general, electronic community networks have three distinct types of users, each one a good candidate for case study research. The three groups of users include people around the world who use the electronic community network, the non-profit organizations using the electronic community network to provide information to potential users of their services, and the "community" that forms as the result of interacting with other participants on the electronic community network.

In this case, the researcher is primarily interested in determining whether or not the electronic community network is beneficial in some way to non-profit organization participants. The researcher begins with a review of the literature to determine what prior studies have determined about this issue and uses the literature to define the following questions for the study of the non-profit organizations providing information to the electronic community network:

Why do non-profit organization participants use the network?

How do non-profit organization participants determine what to place on the electronic community network?

Do the non-profit organization participants believe the community network serves a useful purpose in furthering their mission? How?

Step 2. Select the Cases and Determine Data Gathering and Analysis Techniques

Many communities have constructed electronic community networks on the World Wide Web. At the outset of the design phase, the researcher determines that only one of these networks will be studied and further sets the study boundaries to include only some of the non-profit organizations represented on that one network. The researcher contacts the Board of Directors of the community network, who are open to the idea of the case study. The researcher also gathers computer generated log data from the network and, using this data, determines that an in-depth study of representative organizations from four categories -- health care, environmental, education, and religious -- is feasible. The investigator applies additional selection criteria so that an urban-based and a rural-based non-profit are represented in the study in order to examine whether urban non-profits perceive more benefits from community networks than rural organizations.

The researcher considers multiple sources of data for this study and selects document examination, the gathering and study of organizational documents such as administrative reports, agendas, letters, minutes, and news clippings for each of the organizations. In this case, the investigator decides to also conduct open-ended interviews with key members of each organization using a check-list to guide interviewers during the interview process so that uniformity and consistency can be assured in the data, which could include facts, opinions, and unexpected insights. In this case study, the researcher cannot employ direct observation as a tool because some of the organizations involved have no office and meet infrequently to conduct business directly related to the electronic community network. The researcher instead decides to survey all Board members of the selected organizations using a questionnaire as a third data gathering tool. Within-case and cross-case analysis of data are selected as analysis techniques.

Step 3. Prepare to Collect the Data

The researcher prepares to collect data by first contacting each organization to be studied to gain their cooperation, explain the purpose of the study, and assemble key contact information. Since data to be collected and examined includes organizational documents, the researcher states his intent to request copies of these documents, and plans for storage, classification, and retrieval of these items, as well as the interview and survey data. The researcher develops a formal investigator training program to include seminar topics on non-profit organizations and their structures in each of the four categories selected for this study. The training program also includes practice sessions in conducting open-ended interviews and documenting sources, suggested field notes formats, and a detailed explanation of the purpose of the case study. The researcher selects a fifth case as a pilot case, and the investigators apply the data gathering tools to the pilot case to determine whether the planned timeline is feasible and whether or not the interview and survey questions are appropriate and effective. Based on the results of the pilot, the researcher makes adjustments and assigns investigators particular cases which become their area of expertise in the evaluation and analysis of the data.

Step 4. Collect Data in the Field

Investigators first arrange to visit with the Board of Directors of each non-profit organization as a group and ask for copies of the organizations mission, news clippings, brochures, and any other written material describing the organization and its purpose. The investigator reviews the purpose of the study with the entire Board, schedules individual interview times with as many Board members as can cooperate, confirms key contact data, and requests that all Board members respond to the written survey which will be mailed later.

Investigators take written notes during the interview and record field notes after the interview is completed. The interviews, although open-ended, are structured around the research questions defined at the start of the case study.

Research Question: Why do non-profit organization participants use the network?

Interview Questions: How did the organization make the decision to place data on the World Wide Web community network? What need was the organization hoping to fulfill?

Research Question: How do non-profit organization participants determine what to place on the electronic community network?

Interview Questions: What process was used to select the information that would be used on the network? How is the information kept up to date?

Research Question: Do the non-profit organization participants believe the community network serves a useful purpose in furthering their mission? How?

Interview Questions: How does the organization know if the electronic community network is beneficial to the organization? How does the electronic community network further the mission of the organization? What systematic tracking mechanisms exist to determine how many or what types of users are accessing the organization information?

The investigators field notes record impressions and questions that might assist with the interpretation of the interview data. The investigator makes note of stories told during open-ended interviews and flags them for potential use in the final report. Data is entered into the database.

The researcher mails written surveys to all Board members with a requested return date and a stamped return envelope. Once the surveys are returned, the researcher codes and enters the data into the database so that it can be used independently as well as integrated when the case study progresses to the point of cross-case examination of data for all four cases.

Step 5. Evaluate and Analyze the Data

Within-case analysis is the first analysis technique used with each non-profit organization under study. The assigned investigator studies each organizations written documentation and survey response data as a separate case to identify unique patterns within the data for that single organization. Individual investigators prepare detailed case study write-ups for each organization, categorizing interview questions and answers and examining the data for within-group similarities and differences.

Cross-case analysis follows. Investigators examine pairs of cases, categorizing the similarities and differences in each pair. Investigators then examine similar pairs for differences, and dissimilar pairs for similarities. As patterns begin to emerge, certain evidence may stand out as being in conflict with the patterns. In those cases, the investigator conducts follow-up focused interviews to confirm or correct the initial data in order to tie the evidence to the findings and to state relationships in answer to the research questions.

Step 6 Prepare the Report

The outline of the report includes thanking all of the participants, stating the problem, listing the research questions, describing the methods used to conduct the research and any potential flaws in the method used, explaining the data gathering and analysis techniques used, and concluding with the answers to the questions and suggestions for further research. Key features of the report include a retelling of specific stories related to the successes or disappointments experienced by the organizations that were conveyed during data collection, and answers or comments illuminating issues directly related to the research questions. The researcher develops each issue using quotations or other details from the data collected, and points out the triangulation of data where applicable. The report also includes confirming and conflicting findings from literature reviews. The report conclusion makes assertions and suggestions for further research activity, so that another researcher may apply these techniques to another electronic community network and its participants to determine whether similar findings are identifiable in other communities. Final report distribution includes all participants.

Applicability to Library and Information Science

Case study research, with its applicability across many disciplines, is an appropriate methodology to use in library studies. In Library and Information Science, case study research has been used to study reasons why library school programs close (Paris, 1988), to examine reference service practices in university library settings (Lawson, 1971), and to examine how questions are negotiated between customers and librarians (Taylor, 1967). Much of the research is focused exclusively on the librarian as the object or the customer as the object. Researchers could use the case study method to further study the role of the librarian in implementing specific models of service. For example, case study research could examine how information-seeking behavior in public libraries compares with information-seeking behavior in places other than libraries, to conduct in-depth studies of non-library community based information services to compare with library based community information services, and to study community networks based in libraries.

Conclusion

Case studies are complex because they generally involve multiple sources of data, may include multiple cases within a study, and produce large amounts of data for analysis. Researchers from many disciplines use the case study method to build upon theory, to produce new theory, to dispute or challenge theory, to explain a situation, to provide a basis to apply solutions to situations, to explore, or to describe an object or phenomenon. The advantages of the case study method are its applicability to real-life, contemporary, human situations and its public accessibility through written reports. Case study results relate directly to the common readers everyday experience and facilitate an understanding of complex real-life situations.

Bibliography

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