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Qualitative Data Analysis: A Compendium Of Techniques And A Framework For Selection For School Psychology Research And Beyond, Nancy L. Leech, Anthony J. Onwuegbuzie
Qualitative Data Analysis: A Compendium Of Techniques And A Framework For Selection For School Psychology Research And Beyond, Nancy L. Leech, Anthony J. Onwuegbuzie
Nancy Leech
Qualitative researchers in school psychology have a multitude of analyses available for data. The purpose of this article is to present several of the most common methods for analyzing qualitative data. Specifically, the authors describe the following 18 qualitative analysis techniques: method of constant comparison analysis, keywords-in-context, word count, classical content analysis, domain analysis, taxonomic analysis, componential analysis, conversation analysis, discourse analysis, secondary analysis, membership categorization analysis, narrative analysis, qualitative comparative analysis, semiotics, manifest content analysis, latent content analysis, text mining, and microinterlocutor analysis. Moreover, the authors present a new framework for organizing these analysis techniques via the four major …
Beyond Constant Comparison Qualitative Data Analysis: Using Nvivo, Nancy L. Leech, Anthony J. Onwuegbuzie
Beyond Constant Comparison Qualitative Data Analysis: Using Nvivo, Nancy L. Leech, Anthony J. Onwuegbuzie
Nancy Leech
The purposes of this paper are to outline seven types of qualitative data analysis techniques, to present step-by-step guidance for conducting these analyses via a computer-assisted qualitative data analysis software program (i.e., NVivo9), and to present screenshots of the data analysis process. Specifically, the following seven analyses are presented: constant comparison analysis, classical content analysis, keyword-in-context, word count, domain analysis, taxonomic analysis, and componential analysis. It is our hope that providing a clear step-by-step process for conducting these analyses with NVivo9 will assist school psychology researchers in increasing the rigor of their qualitative data analysis procedures. (Contains 9 figures and …
Do Effect-Size Measures Measure Up?: A Brief Assessment, Anthony J. Onwuegbuzie, Joel R. Levin, Nancy L. Leech
Do Effect-Size Measures Measure Up?: A Brief Assessment, Anthony J. Onwuegbuzie, Joel R. Levin, Nancy L. Leech
Nancy Leech
Because of criticisms leveled at statistical hypothesis testing, some researchers have argued that measures of effect size should replace the significance-testing practice. We contend that although effect-size measures have logical appeal, they are also associated with a number of limitations that may result in problematic interpretations of them in research on children and adults with learning disabilities (LD). The purpose of the present paper is to provide a framework for reporting and interpreting empirical research findings in LD research. Specifically, we recommend that: (1) researchers apply criteria of both statistical significance and substantive significance to help consumers of research assess …