Journal Article•
Qualitative research for education: An introduction to theories and methods
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05 Mar 2009TL;DR: This chapter discusses writing Analytic Memos About Narrative and Visual Data and exercises for Coding and Qualitative Data Analytic Skill Development.
Abstract: An Introduction to Codes and Coding Chapter Summary Purposes of the Manual What Is a Code? Codifying and Categorizing What Gets Coded? The Mechanics of Coding The Numbers of Codes Manual and CAQDAS Coding Solo and Team Coding Necessary Personal Attributes for Coding On Method Writing Analytic Memos Chapter Summary The Purposes of Analytic Memo-Writing What Is an Analytic Memo? Examples of Analytic Memos Coding and Categorizing Analytic Memos Grounded Theory and Its Coding Canon Analytic Memos on Visual Data First-Cycle Coding Methods Chapter Summary The Coding Cycles Selecting the Appropriate Coding Method(s) Overview of First-Cycle Coding Methods The Coding Methods Profiles Grammatical Methods Elemental Methods Affective Methods Literary and Language Methods Exploratory Methods Forms for Additional First-Cycle Coding Methods Theming the Data Procedural Methods After First-Cycle Coding Chapter Summary Post-Coding Transitions Eclectic Coding Code Mapping and Landscaping Operational Model Diagramming Additional Transition Methods Transitioning to Second-Cycle Coding Methods Second-Cycle Coding Methods Chapter Summary The Goals of Second-Cycle Methods Overview of Second-Cycle Coding Methods Second-Cycle Coding Methods Forms for Additional Second-Cycle Coding Methods After Second-Cycle Coding Chapter Summary Post-Coding and Pre-Writing Transitions Focusing Strategies From Coding to Theorizing Formatting Matters Writing about Coding Ordering and Re-Ordering Assistance from Others Closure Appendix A: A Glossary of Coding Methods Appendix B: A Glossary of Analytic Recommendations Appendix C: Field Note, Interview Transcript and Document Samples for Coding Appendix D: Exercises and Activities for Coding and Qualitative Data Analytic Skill Development References Index
22,890 citations
TL;DR: In this paper, the authors 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.
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.
1,389 citations
Cites background from "Qualitative research for education:..."
...…auto-ethnography) and groups (e.g., ethnography, phenomenology, grounded theory, critical theory), which, under certain conditions (e.g., data saturation, theoretical saturation, informational redundancy), can achieve Verstehen or understanding (Bogdan & Biklen, 2003; Onwuegbuzie & Leech, 2007a)....
[...]
...Yet, the majority of available texts for qualitative research include at most only one chapter, if any, on data analysis (e.g., Berg, 2004; Bogdan & Biklen, 2003; Creswell, 2007; Schram, 2003; Shank, 2002)....
[...]
TL;DR: A portion of the findings on students' perceptions of learning with mobile computing devices and the roles social media played are presented.
Abstract: The purpose of this research was to explore teaching and learning when mobile computing devices, such as cellphones and smartphones, were implemented in higher education. This paper presents a portion of the findings on students' perceptions of learning with mobile computing devices and the roles social media played. This qualitative research study focused on students from three universities across the US. The students' teachers had been integrating mobile computing devices, such as cellphones and smartphones, into their courses for at least two semesters. Data were collected through student focus group interviews. Two specific themes emerged from the interview data: (a) advantages of mobile computing devices for student learning and (b) frustrations from learning with mobile computing devices. Mobile computing devices and the use of social media created opportunities for interaction, provided opportunities for collaboration, as well as allowed students to engage in content creation and communication using social media and Web 2.0 tools with the assistance of constant connectivity.
1,196 citations
Cites methods from "Qualitative research for education:..."
...This constant comparison of the data was conducted in three rounds of inductive analysis, which included open coding, a priori coding, and research/methodological coding (Bogdan & Biklen, 2003)....
[...]
TL;DR: In this paper, the authors introduce the concept of meaning making in research methods and look at how meaning is generated from qualitative data analysis specifically, and some examples from the literature of how meaning can be constructed and organized using a qualitative Data Analysis approach are provided.
Abstract: An introduction and explanation of the epistemological differences of quantitative and qualitative research paradigms is first provided, followed by an overview of the realist philosophical paradigm, which attempts to accommodate the two. From this foundational discussion, the paper then introduces the concept of meaning making in research methods and looks at how meaning is generated from qualitative data analysis specifically. Finally, some examples from the literature of how meaning can be constructed and organized using a qualitative data analysis approach are provided. The paper aims to provide an introduction to research methodologies, coupled with a discussion on how meaning making actually occurs through qualitative data analysis. Key Words: Qualitative Research, Quantitative Research, Epistemology, Meaning Making, and Qualitative Data Analysis
1,169 citations
TL;DR: This article gives specific steps on how to create a codebook for coding interview data and how to train others to code using the codebook, including how to establish reliability.
Abstract: This article gives specific steps on how to create a codebook for coding interview data. The authors examine the development of theory- and data-driven codes through the discussion of a professiona...
1,066 citations
References
More filters
Book•
05 Mar 2009TL;DR: This chapter discusses writing Analytic Memos About Narrative and Visual Data and exercises for Coding and Qualitative Data Analytic Skill Development.
Abstract: An Introduction to Codes and Coding Chapter Summary Purposes of the Manual What Is a Code? Codifying and Categorizing What Gets Coded? The Mechanics of Coding The Numbers of Codes Manual and CAQDAS Coding Solo and Team Coding Necessary Personal Attributes for Coding On Method Writing Analytic Memos Chapter Summary The Purposes of Analytic Memo-Writing What Is an Analytic Memo? Examples of Analytic Memos Coding and Categorizing Analytic Memos Grounded Theory and Its Coding Canon Analytic Memos on Visual Data First-Cycle Coding Methods Chapter Summary The Coding Cycles Selecting the Appropriate Coding Method(s) Overview of First-Cycle Coding Methods The Coding Methods Profiles Grammatical Methods Elemental Methods Affective Methods Literary and Language Methods Exploratory Methods Forms for Additional First-Cycle Coding Methods Theming the Data Procedural Methods After First-Cycle Coding Chapter Summary Post-Coding Transitions Eclectic Coding Code Mapping and Landscaping Operational Model Diagramming Additional Transition Methods Transitioning to Second-Cycle Coding Methods Second-Cycle Coding Methods Chapter Summary The Goals of Second-Cycle Methods Overview of Second-Cycle Coding Methods Second-Cycle Coding Methods Forms for Additional Second-Cycle Coding Methods After Second-Cycle Coding Chapter Summary Post-Coding and Pre-Writing Transitions Focusing Strategies From Coding to Theorizing Formatting Matters Writing about Coding Ordering and Re-Ordering Assistance from Others Closure Appendix A: A Glossary of Coding Methods Appendix B: A Glossary of Analytic Recommendations Appendix C: Field Note, Interview Transcript and Document Samples for Coding Appendix D: Exercises and Activities for Coding and Qualitative Data Analytic Skill Development References Index
22,890 citations
TL;DR: In this paper, the authors 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.
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.
1,389 citations
TL;DR: A portion of the findings on students' perceptions of learning with mobile computing devices and the roles social media played are presented.
Abstract: The purpose of this research was to explore teaching and learning when mobile computing devices, such as cellphones and smartphones, were implemented in higher education. This paper presents a portion of the findings on students' perceptions of learning with mobile computing devices and the roles social media played. This qualitative research study focused on students from three universities across the US. The students' teachers had been integrating mobile computing devices, such as cellphones and smartphones, into their courses for at least two semesters. Data were collected through student focus group interviews. Two specific themes emerged from the interview data: (a) advantages of mobile computing devices for student learning and (b) frustrations from learning with mobile computing devices. Mobile computing devices and the use of social media created opportunities for interaction, provided opportunities for collaboration, as well as allowed students to engage in content creation and communication using social media and Web 2.0 tools with the assistance of constant connectivity.
1,196 citations
TL;DR: In this paper, the authors introduce the concept of meaning making in research methods and look at how meaning is generated from qualitative data analysis specifically, and some examples from the literature of how meaning can be constructed and organized using a qualitative Data Analysis approach are provided.
Abstract: An introduction and explanation of the epistemological differences of quantitative and qualitative research paradigms is first provided, followed by an overview of the realist philosophical paradigm, which attempts to accommodate the two. From this foundational discussion, the paper then introduces the concept of meaning making in research methods and looks at how meaning is generated from qualitative data analysis specifically. Finally, some examples from the literature of how meaning can be constructed and organized using a qualitative data analysis approach are provided. The paper aims to provide an introduction to research methodologies, coupled with a discussion on how meaning making actually occurs through qualitative data analysis. Key Words: Qualitative Research, Quantitative Research, Epistemology, Meaning Making, and Qualitative Data Analysis
1,169 citations
TL;DR: This article gives specific steps on how to create a codebook for coding interview data and how to train others to code using the codebook, including how to establish reliability.
Abstract: This article gives specific steps on how to create a codebook for coding interview data. The authors examine the development of theory- and data-driven codes through the discussion of a professiona...
1,066 citations