Pat Bazeley
Biographic Data
| ID | 248354 |
|---|---|
| NAME | Pat Bazeley |
| GIVEN NAMES | Pat |
| FAMILY NAME | Bazeley |
| SIGNATURE | BAZELEY P |
| AFFILIATIONS | UNSW Sydney |
| ORCID | 0000-0002-4047-5962 |
| VERIFIED | Yes |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 84 |
| AUTHOR COUNT | 15 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1999 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 4 |
Conceptualizing Integration in Mixed Methods Research
Integration lies at the heart of mixed methods research, but it has primarily been considered from a practical rather than a conceptual or theoretical perspective. In this paper, I develop a contextually situated, parsimonious conceptual model of the substantive dimensions that constitute integration. I conclude that integration between heterogeneous components in mixed methods research is constituted by interdependence that is connected, transac…
Integrating Analyses in Mixed Methods Research
Mixed or merged? Integration as the real challenge for mixed methods
Purpose Giampietro Gobo called for new methods that combine qualitative and quantitative approaches in a single instrument, suggesting this was the next challenge facing social research and mixed methods in particular. The purpose of this paper is to respond to that challenge. Design/methodology/approach An overview of methods, demonstrating their inherently mixed qualities, with special emphasis on a range of methods that can be classified as me…
Expanding Thinking Through a Kaleidoscopic Look Into the Future: Implications of the Mixed Methods International Research Association’s Task Force Report on the Future of Mixed Methods
The field of mixed methods research abounds with opportunities for creative development in terms of methodological advances and potential to contribute to important and complex societal problems. Inspired by issues that arose in the Mixed Methods International Research Association task force report on the future of mixed methods, this article contemplates its implications for challenges and opportunities for the mixed methods community for advanc…
Writing Up Multimethod and Mixed Methods Research for Diverse Audiences
Regulating Qualitative Coding Using QDAS
White, Judd, and Poliandri (this volume, 2012:43—76), have usefully pointed out the increasing value of qualitative data analysis software (QDAS) for facilitating mixed methods analyses. Their interest is in building the capacity of researchers to analyze population-based qualitative (e.g., interview-based) data sets in a way that will allow the combination of results from qualitative content analysis with statistical analysis of derived or assoc…
Integrative Analysis Strategies for Mixed Data Sources
The approach taken to integration of diverse data sources and analytical approaches in mixed methods studies is a crucial feature of those studies. Models of integration in analysis range from discussing separately generated results from different components or phases of a study together as part of the conclusion, through synthesis of data from these different components, to combination of data sources or conversion of data types to build a blend…
Mosaics, Triangles, and DNA: Metaphors for Integrated Analysis in Mixed Methods Research
Metaphors used to describe the process of integration of analyses in mixed methods research are analyzed to determine various ways in which researchers think and write about integration. By examining the metaphors used and through examples of the application of each metaphor, the authors clarify the integrative processes they point to. The authors conclude this analysis by identifying from these metaphors eight principles to guide the effective i…
Conceptualising research performance
In a context of increasing emphasis on academic performance and accountability, data from a structured survey in which academics elaborated on eight different attributes of high‐performing researchers were used to build a conceptual model of research performance. Research performance was seen to comprise two basic components, with six secondary level dimensions and a range of potential indicators. Four essential (necessary and sufficient) dimensi…
Qualitative Data Analysis with NVivo
This straightforward, jargon-free book provides an invaluable introduction to planning and conducting qualitative data analysis with NVivo. Written by leading authorities, with over 40 years combined experience in computer-assisted analysis of qualitative and mixed-mode data, the new edition of this best selling textbook is an ideal mix of practical instruction, methodology and real world examples. Practical, clear and focused the book effectivel…
Defining 'Early Career' in Research
The evolution of a project involving an integrated analysis of structured qualitative and quantitative data: From N3 to NVivo
Developments in Qualitative Solutions and Research (QSR software) from N3 through to NVivo have impacted not only on the convenience of using the program but also on the capacity of the researcher to undertake interpretive analysis. Perhaps reflective of changes in the broader context of social research, developments through succeeding generations of this software have also increased its capacity to contribute to integrated mixed methods (qualita…
The NVIVO Qualitative Project Book
Introduction The Book and the Software Making a Start First Coding Making Data Working with Data Shaping Your Project 'Emerging' Theory? Ordering Concepts Moving Faster Getting There Preparing Data
Multiple Evaluations of Grant Proposals by Independent Assessors: Confirmatory Factor Analysis Evaluations of Reliability, Validity, and Structure
External assessor ratings of the quality of the research team and of the proposed research were evaluated for proposals submitted to the highly competitive Australian Research Council large grants program. The structure of the responses by multiple assessors was evaluated using a series of nested models that are variations of the traditional congeneric, tau-equivalent, and parallel measurement models. The estimated reliability based on four indep…
The Bricoleur with a Computer: Piecing Together Qualitative and Quantitative Data
The researcher as bricoleur will gather whatever data is at hand, experimenting and exploring to find answers to the questions he or she has set. With computer in hand and new tools available, the researcher can readily combine data types, moving beyond complementarity and simple triangulation. Data may be transferred in either or both directions between NUD•IST (a program to assist the analysis of qualitative data) and a spreadsheet or statistic…
Expanding Thinking Through a Kaleidoscopic Look Into the Future: Implications of the Mixed Methods International Research Association’s Task Force Report on the Future of Mixed Methods
The field of mixed methods research abounds with opportunities for creative development in terms of methodological advances and potential to contribute to important and complex societal problems. Inspired by issues that arose in the Mixed Methods International Research Association task force report on the future of mixed methods, this article contemplates its implications for challenges and opportunities for the mixed methods community for advanc…
Integrative Analysis Strategies for Mixed Data Sources
The approach taken to integration of diverse data sources and analytical approaches in mixed methods studies is a crucial feature of those studies. Models of integration in analysis range from discussing separately generated results from different components or phases of a study together as part of the conclusion, through synthesis of data from these different components, to combination of data sources or conversion of data types to build a blend…
Mosaics, Triangles, and DNA: Metaphors for Integrated Analysis in Mixed Methods Research
Metaphors used to describe the process of integration of analyses in mixed methods research are analyzed to determine various ways in which researchers think and write about integration. By examining the metaphors used and through examples of the application of each metaphor, the authors clarify the integrative processes they point to. The authors conclude this analysis by identifying from these metaphors eight principles to guide the effective i…
Conceptualising research performance
In a context of increasing emphasis on academic performance and accountability, data from a structured survey in which academics elaborated on eight different attributes of high‐performing researchers were used to build a conceptual model of research performance. Research performance was seen to comprise two basic components, with six secondary level dimensions and a range of potential indicators. Four essential (necessary and sufficient) dimensi…
Conceptualizing Integration in Mixed Methods Research
Integration lies at the heart of mixed methods research, but it has primarily been considered from a practical rather than a conceptual or theoretical perspective. In this paper, I develop a contextually situated, parsimonious conceptual model of the substantive dimensions that constitute integration. I conclude that integration between heterogeneous components in mixed methods research is constituted by interdependence that is connected, transac…
Regulating Qualitative Coding Using QDAS
White, Judd, and Poliandri (this volume, 2012:43—76), have usefully pointed out the increasing value of qualitative data analysis software (QDAS) for facilitating mixed methods analyses. Their interest is in building the capacity of researchers to analyze population-based qualitative (e.g., interview-based) data sets in a way that will allow the combination of results from qualitative content analysis with statistical analysis of derived or assoc…
The Bricoleur with a Computer: Piecing Together Qualitative and Quantitative Data
The researcher as bricoleur will gather whatever data is at hand, experimenting and exploring to find answers to the questions he or she has set. With computer in hand and new tools available, the researcher can readily combine data types, moving beyond complementarity and simple triangulation. Data may be transferred in either or both directions between NUD•IST (a program to assist the analysis of qualitative data) and a spreadsheet or statistic…
The evolution of a project involving an integrated analysis of structured qualitative and quantitative data: From N3 to NVivo
Developments in Qualitative Solutions and Research (QSR software) from N3 through to NVivo have impacted not only on the convenience of using the program but also on the capacity of the researcher to undertake interpretive analysis. Perhaps reflective of changes in the broader context of social research, developments through succeeding generations of this software have also increased its capacity to contribute to integrated mixed methods (qualita…
Multiple Evaluations of Grant Proposals by Independent Assessors: Confirmatory Factor Analysis Evaluations of Reliability, Validity, and Structure
External assessor ratings of the quality of the research team and of the proposed research were evaluated for proposals submitted to the highly competitive Australian Research Council large grants program. The structure of the responses by multiple assessors was evaluated using a series of nested models that are variations of the traditional congeneric, tau-equivalent, and parallel measurement models. The estimated reliability based on four indep…
The Bricoleur with a Computer: Piecing Together Qualitative and Quantitative Data
The researcher as bricoleur will gather whatever data is at hand, experimenting and exploring to find answers to the questions he or she has set. With computer in hand and new tools available, the researcher can readily combine data types, moving beyond complementarity and simple triangulation. Data may be transferred in either or both directions between NUD•IST (a program to assist the analysis of qualitative data) and a spreadsheet or statistic…
The NVIVO Qualitative Project Book
Introduction The Book and the Software Making a Start First Coding Making Data Working with Data Shaping Your Project 'Emerging' Theory? Ordering Concepts Moving Faster Getting There Preparing Data
The evolution of a project involving an integrated analysis of structured qualitative and quantitative data: From N3 to NVivo
Developments in Qualitative Solutions and Research (QSR software) from N3 through to NVivo have impacted not only on the convenience of using the program but also on the capacity of the researcher to undertake interpretive analysis. Perhaps reflective of changes in the broader context of social research, developments through succeeding generations of this software have also increased its capacity to contribute to integrated mixed methods (qualita…
Defining 'Early Career' in Research
Qualitative Data Analysis with NVivo
This straightforward, jargon-free book provides an invaluable introduction to planning and conducting qualitative data analysis with NVivo. Written by leading authorities, with over 40 years combined experience in computer-assisted analysis of qualitative and mixed-mode data, the new edition of this best selling textbook is an ideal mix of practical instruction, methodology and real world examples. Practical, clear and focused the book effectivel…
Conceptualising research performance
In a context of increasing emphasis on academic performance and accountability, data from a structured survey in which academics elaborated on eight different attributes of high‐performing researchers were used to build a conceptual model of research performance. Research performance was seen to comprise two basic components, with six secondary level dimensions and a range of potential indicators. Four essential (necessary and sufficient) dimensi…
Mosaics, Triangles, and DNA: Metaphors for Integrated Analysis in Mixed Methods Research
Metaphors used to describe the process of integration of analyses in mixed methods research are analyzed to determine various ways in which researchers think and write about integration. By examining the metaphors used and through examples of the application of each metaphor, the authors clarify the integrative processes they point to. The authors conclude this analysis by identifying from these metaphors eight principles to guide the effective i…
Regulating Qualitative Coding Using QDAS
White, Judd, and Poliandri (this volume, 2012:43—76), have usefully pointed out the increasing value of qualitative data analysis software (QDAS) for facilitating mixed methods analyses. Their interest is in building the capacity of researchers to analyze population-based qualitative (e.g., interview-based) data sets in a way that will allow the combination of results from qualitative content analysis with statistical analysis of derived or assoc…
Integrative Analysis Strategies for Mixed Data Sources
The approach taken to integration of diverse data sources and analytical approaches in mixed methods studies is a crucial feature of those studies. Models of integration in analysis range from discussing separately generated results from different components or phases of a study together as part of the conclusion, through synthesis of data from these different components, to combination of data sources or conversion of data types to build a blend…
Writing Up Multimethod and Mixed Methods Research for Diverse Audiences
Mixed or merged? Integration as the real challenge for mixed methods
Purpose Giampietro Gobo called for new methods that combine qualitative and quantitative approaches in a single instrument, suggesting this was the next challenge facing social research and mixed methods in particular. The purpose of this paper is to respond to that challenge. Design/methodology/approach An overview of methods, demonstrating their inherently mixed qualities, with special emphasis on a range of methods that can be classified as me…
Expanding Thinking Through a Kaleidoscopic Look Into the Future: Implications of the Mixed Methods International Research Association’s Task Force Report on the Future of Mixed Methods
The field of mixed methods research abounds with opportunities for creative development in terms of methodological advances and potential to contribute to important and complex societal problems. Inspired by issues that arose in the Mixed Methods International Research Association task force report on the future of mixed methods, this article contemplates its implications for challenges and opportunities for the mixed methods community for advanc…
Integrating Analyses in Mixed Methods Research
Conceptualizing Integration in Mixed Methods Research
Integration lies at the heart of mixed methods research, but it has primarily been considered from a practical rather than a conceptual or theoretical perspective. In this paper, I develop a contextually situated, parsimonious conceptual model of the substantive dimensions that constitute integration. I conclude that integration between heterogeneous components in mixed methods research is constituted by interdependence that is connected, transac…
Computer Science (13 works) · Engineering (8 works) · Sociology (8 works) · Data science (7 works) · Management science (7 works) · Mathematics (6 works) · Psychology (6 works) · Multimethodology (5 works) · Qualitative Research Methods and Applications (5 works) · Evaluation and Performance Assessment (4 works)