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Table of Contents
Part I. Research questions in information and library science
Using research results to improve practice in the information professions / Barbara M. Wildemuth
Developing a research question / Barbara M. Wildemuth
Questions originating in library and information practice / Barbara M. Wildemuth
Descriptions of phenomena or settings / Barbara M. Wildemuth
Testing hypotheses / Barbara M. Wildemuth
Questions related to theory / Chad Morgan and Barbara M. Wildemuth
Part II. Research designs and sampling
Case studies / Songphan Choemprayong and Barbara M. Wildemuth
Naturalistic research / Abe J. Crystal and Barbara M. Wildemuth
Longitudinal studies / Barbara M. Wildemuth
Delphi studies / Lili Luo and Barbara M. Wildemuth
Quasi-experimental studies / Carolyn Hank and Barbara M. Wildemuth
Experimental studies / Barbara M. Wildemuth and Leo L. Cao
Mixed methods / Barbara M. Wildemuth
Sampling for extensive studies / Barbara M. Wildemuth
Sampling for intensive studies / Barbara M. Wildemuth and Leo L. Cao
Studying special populations / Carol L. Perryman and Barbara M. Wildemuth
Part III. Methods for data collection
Historical research / Chad Morgan and Barbara M. Wildemuth
Existing documents and artifacts as data / Barbara M. Wildemuth
Visual data collection methods / Barbara M. Wildemuth
Transaction logs / Laura Sheble, Barbara M. Wildemuth, and Kathy Brennan
Think-aloud protocols / Sanghee Oh and Barbara M. Wildemuth
Direct observation / Barbara M. Wildemuth
Participant observation / Barbara M. Wildemuth
Research diaries / Laura Sheble, Leslie Thomson, and Barbara M. Wildemuth
Unstructured interviews / Yan Zhang and Barbara M. Wildemuth
Semistructured interviews / Lili Luo and Barbara M. Wildemuth
Focus groups / Barbara M. Wildemuth and Mary Wilkins Jordan
Survey research / Carolyn Hank, Mary Wilkins Jordan, and Barbara M. Wildemuth
Measuring cognitive and affective variables / Barbara M. Wildemuth
Developing new measures / Songphan Choemprayong and Barbara M. Wildemuth
Part IV. Methods for data analysis
Content analysis / Kristina M. Spurgin and Barbara M. Wildemuth
Qualitative analysis of content / Yan Zhang and Barbara M. Wildemuth
Discourse analysis / Barbara M. Wildemuth and Carol L. Perryman
Social network analysis / Laura Sheble, Kathy Brennan, and Barbara M. Wildemuth
Descriptive statistics / Barbara M. Wildemuth
Frequencies, cross-tabulation, and the chi-square statistic / Barbara M. Wildemuth
Analyzing sequences of events / Barbara M. Wildemuth
Correlation / Barbara M. Wildemuth
Comparing means : t tests and analysis of variance / Abe J. Crystal and Barbara M. Wildemuth
Part V. Conclusion
Putting it all together / Barbara M. Wildemuth.
Using research results to improve practice in the information professions / Barbara M. Wildemuth
Developing a research question / Barbara M. Wildemuth
Questions originating in library and information practice / Barbara M. Wildemuth
Descriptions of phenomena or settings / Barbara M. Wildemuth
Testing hypotheses / Barbara M. Wildemuth
Questions related to theory / Chad Morgan and Barbara M. Wildemuth
Part II. Research designs and sampling
Case studies / Songphan Choemprayong and Barbara M. Wildemuth
Naturalistic research / Abe J. Crystal and Barbara M. Wildemuth
Longitudinal studies / Barbara M. Wildemuth
Delphi studies / Lili Luo and Barbara M. Wildemuth
Quasi-experimental studies / Carolyn Hank and Barbara M. Wildemuth
Experimental studies / Barbara M. Wildemuth and Leo L. Cao
Mixed methods / Barbara M. Wildemuth
Sampling for extensive studies / Barbara M. Wildemuth
Sampling for intensive studies / Barbara M. Wildemuth and Leo L. Cao
Studying special populations / Carol L. Perryman and Barbara M. Wildemuth
Part III. Methods for data collection
Historical research / Chad Morgan and Barbara M. Wildemuth
Existing documents and artifacts as data / Barbara M. Wildemuth
Visual data collection methods / Barbara M. Wildemuth
Transaction logs / Laura Sheble, Barbara M. Wildemuth, and Kathy Brennan
Think-aloud protocols / Sanghee Oh and Barbara M. Wildemuth
Direct observation / Barbara M. Wildemuth
Participant observation / Barbara M. Wildemuth
Research diaries / Laura Sheble, Leslie Thomson, and Barbara M. Wildemuth
Unstructured interviews / Yan Zhang and Barbara M. Wildemuth
Semistructured interviews / Lili Luo and Barbara M. Wildemuth
Focus groups / Barbara M. Wildemuth and Mary Wilkins Jordan
Survey research / Carolyn Hank, Mary Wilkins Jordan, and Barbara M. Wildemuth
Measuring cognitive and affective variables / Barbara M. Wildemuth
Developing new measures / Songphan Choemprayong and Barbara M. Wildemuth
Part IV. Methods for data analysis
Content analysis / Kristina M. Spurgin and Barbara M. Wildemuth
Qualitative analysis of content / Yan Zhang and Barbara M. Wildemuth
Discourse analysis / Barbara M. Wildemuth and Carol L. Perryman
Social network analysis / Laura Sheble, Kathy Brennan, and Barbara M. Wildemuth
Descriptive statistics / Barbara M. Wildemuth
Frequencies, cross-tabulation, and the chi-square statistic / Barbara M. Wildemuth
Analyzing sequences of events / Barbara M. Wildemuth
Correlation / Barbara M. Wildemuth
Comparing means : t tests and analysis of variance / Abe J. Crystal and Barbara M. Wildemuth
Part V. Conclusion
Putting it all together / Barbara M. Wildemuth.