Componential analysis

Abstract: Preface Part I. Introduction: 1. Conceptions of intelligence Part II. The Triarchic Theory: subtheories: 2. The context of intelligence 3. Experience and intelligence 4. Components of intelligence Part III. The Triarchic Theory: tests: 5. Fluid abilities: inductive reasoning 6. Fluid abilities: deductive reasoning 7. Crystallised intelligence: acquisition of verbal comprehension 8. Crystallised intelligence: theory of information processing in real-time verbal comprehension 9. Social and practical intelligence Part IV. The Triarchic Theory: some implications: 10. Exceptional intelligence 11. Implications of the triarchic theory for intelligence testing Part V. Concluding Remarks: 12. Integration and implications 13. Integration and implications Methodological Appendix: Testing componential models via componential analysis References Indexes.

Abstract: One of the most important steps in the qualitative research process is analysis of data. The purpose of this article is to provide elements for understanding multiple types of qualitative data analysis techniques available and the importance of utilizing more than one type of analysis, thus utilizing data analysis triangulation, in order to understand phenomenon more fully for school psychology research and beyond. The authors describe seven qualitative analysis tools: methods of constant comparison, keywords-in-context, word count, classical content analysis, domain analysis, taxonomic analysis, and componential analysis. Then, the authors outline when to use each type of analysis. In so doing, the authors use real qualitative data to help distinguish the various types of analyses. Furthermore, flowcharts and tables are provided to help delineate when to choose each type of analysis. Finally, the role of computer-assisted software in the qualitative data-analytic process is discussed. As such, use of the analyses outlined in this article should help to promote rigor in qualitative research.

Abstract: 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.