語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Systematic mixed-methods research fo...
~
Olsen, Wendy.
FindBook
Google Book
Amazon
博客來
Systematic mixed-methods research for social scientists
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Systematic mixed-methods research for social scientists/ by Wendy Olsen.
作者:
Olsen, Wendy.
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
xxiii, 245 p. :ill., digital ;24 cm.
內容註:
Part I Setting Up Systematic Mixed Methods Research (SMMR) -- 1 Mixed Methods for Research on Open Systems -- 1.1 The Link Between Quantification and Mixed Methods -- 1.2 A Conceptual Introduction to Methodology and Ontology -- 1.3 Triangulation -- 1.4 Three Domains of Reality, As Realists Approach Research -- 1.5 Conclusion -- Appendix -- References -- 2 Mixed Methods with Weakly Structuralist Regression Models -- 2.1 Modelling and Methodology for Mixed Methods -- 2.2 Strategic Structuralism -- 2.3 Logics Used in Strategic Structuralist Research -- 2.4 Conclusion -- Appendix -- References -- Part II SMMR Approaches in Practical Terms -- 3 Causality in Mixed-Methods Projects That Use Regression -- 3.1 Causality in a Regression Model -- 3.2 Stages of Research Design Amendment for Mixed-Methods Research -- 3.3 Deduction Cannot Stand Alone -- 3.4 A Quantitatively Complex Example -- 3.5 Conclusion -- References -- 4 Multiple Logics in Systematic Mixed-Methods Research -- 4.1 Multiple Logics in Statistical Research: Some Exemplars -- 4.2 An Exemplar Using Participatory Research with Panel Data -- 4.3 A Statistical Exemplar with a Randomised Control Trial for a Social Intervention -- 4.4 Warranted Arguments and Two Caveats for Strategic Structuralism -- 4.5 An Exemplar Using Correspondence Analysis Without Regression -- Appendix -- References -- 5 Factor Analysis in a Mixed-Methods Context -- 5.1 Latent Variables and Entities -- 5.2 One Could Use Exploratory or Confirmatory Factor Analysis -- 5.3 Measurement Issues for the Manifest Variables in a Confirmatory Model -- 5.4 Mixed-Methods Research Designs Using Latent Variables -- 5.5 Whether to Use Scoping Analysis or Primary Field Research -- 5.6 Research Scope and Feedback Loops -- 5.7 Closed and Open Retroduction in a Factor Analysis Context -- 5.8 The Ontological Element -- 5.9 Conclusion -- References -- 6 Qualitative Comparative Analysis (QCA): A Classic Mixed Method Using Theory -- 6.1 QCA Is an Umbrella Over Many Procedures -- 6.2 Tables Help to Summarise Qualitative Comparative Evidence -- 6.3 Data Reduction Has Been Well Theorised -- 6.4 Threshold Tests, Quasi-Sufficiency, and Next Steps in QCA -- 6.5 Conclusion -- Appendix -- References -- 7 Calibration of Fuzzy Sets, Calibration of Measurement: A Realist Synthesis -- 7.1 Two Forms of Calibration: Ordered Categories or Fuzzy Sets -- 7.2 Features of Multiple Hypothesis Tests Using Fuzzy Sets -- 7.3 Asymmetry of the Causal Mechanisms? Issues Around Counterfactuals -- 7.4 How to Make and Illustrate Deep Linkages -- Appendix -- References -- 8 From Content Analysis to Discourse Analysis: Using Systematic Analysis of Meanings and Discourses -- 8.1 Methods of Qualitative Analysis and Elaboration of Findings -- 8.2 Qualitative Methods, with a Content Analysis Example -- 8.3 Three Illustrations Demonstrating Deep Arguments Based on Depth Ontology -- 8.4 Conclusion -- Appendix -- References -- Part III Interpretation and the Validity of Research -- 9 Interpretations, Meanings, and Validity in Mixed-Methods Research -- 9.1 Truth Is Not Simple in a Complex Society -- 9.2 Epistemology for Late-Modern Mixed Methods -- 9.3 Falsifying Hypotheses: Possible and Desirable, but Not Necessary -- 9.4 A Retroductive Approach -- 9.5 Conclusion -- References -- 10 Summary of the Logics and Methods for Systematic Mixed-Methods Research -- 10.1 Induction -- 10.2 Deduction -- 10.3 Retroduction -- 10.4 Synthesis -- 10.5 Recognising Relevant Irreducible Phenomena (Holism) -- 10.6 Logical Linkage -- 10.7 Conclusion -- References -- 11 Glossary.
Contained By:
Springer Nature eBook
標題:
Mixed methods research. -
電子資源:
https://doi.org/10.1007/978-3-030-93148-3
ISBN:
9783030931483
Systematic mixed-methods research for social scientists
Olsen, Wendy.
Systematic mixed-methods research for social scientists
[electronic resource] /by Wendy Olsen. - Cham :Springer International Publishing :2022. - xxiii, 245 p. :ill., digital ;24 cm.
Part I Setting Up Systematic Mixed Methods Research (SMMR) -- 1 Mixed Methods for Research on Open Systems -- 1.1 The Link Between Quantification and Mixed Methods -- 1.2 A Conceptual Introduction to Methodology and Ontology -- 1.3 Triangulation -- 1.4 Three Domains of Reality, As Realists Approach Research -- 1.5 Conclusion -- Appendix -- References -- 2 Mixed Methods with Weakly Structuralist Regression Models -- 2.1 Modelling and Methodology for Mixed Methods -- 2.2 Strategic Structuralism -- 2.3 Logics Used in Strategic Structuralist Research -- 2.4 Conclusion -- Appendix -- References -- Part II SMMR Approaches in Practical Terms -- 3 Causality in Mixed-Methods Projects That Use Regression -- 3.1 Causality in a Regression Model -- 3.2 Stages of Research Design Amendment for Mixed-Methods Research -- 3.3 Deduction Cannot Stand Alone -- 3.4 A Quantitatively Complex Example -- 3.5 Conclusion -- References -- 4 Multiple Logics in Systematic Mixed-Methods Research -- 4.1 Multiple Logics in Statistical Research: Some Exemplars -- 4.2 An Exemplar Using Participatory Research with Panel Data -- 4.3 A Statistical Exemplar with a Randomised Control Trial for a Social Intervention -- 4.4 Warranted Arguments and Two Caveats for Strategic Structuralism -- 4.5 An Exemplar Using Correspondence Analysis Without Regression -- Appendix -- References -- 5 Factor Analysis in a Mixed-Methods Context -- 5.1 Latent Variables and Entities -- 5.2 One Could Use Exploratory or Confirmatory Factor Analysis -- 5.3 Measurement Issues for the Manifest Variables in a Confirmatory Model -- 5.4 Mixed-Methods Research Designs Using Latent Variables -- 5.5 Whether to Use Scoping Analysis or Primary Field Research -- 5.6 Research Scope and Feedback Loops -- 5.7 Closed and Open Retroduction in a Factor Analysis Context -- 5.8 The Ontological Element -- 5.9 Conclusion -- References -- 6 Qualitative Comparative Analysis (QCA): A Classic Mixed Method Using Theory -- 6.1 QCA Is an Umbrella Over Many Procedures -- 6.2 Tables Help to Summarise Qualitative Comparative Evidence -- 6.3 Data Reduction Has Been Well Theorised -- 6.4 Threshold Tests, Quasi-Sufficiency, and Next Steps in QCA -- 6.5 Conclusion -- Appendix -- References -- 7 Calibration of Fuzzy Sets, Calibration of Measurement: A Realist Synthesis -- 7.1 Two Forms of Calibration: Ordered Categories or Fuzzy Sets -- 7.2 Features of Multiple Hypothesis Tests Using Fuzzy Sets -- 7.3 Asymmetry of the Causal Mechanisms? Issues Around Counterfactuals -- 7.4 How to Make and Illustrate Deep Linkages -- Appendix -- References -- 8 From Content Analysis to Discourse Analysis: Using Systematic Analysis of Meanings and Discourses -- 8.1 Methods of Qualitative Analysis and Elaboration of Findings -- 8.2 Qualitative Methods, with a Content Analysis Example -- 8.3 Three Illustrations Demonstrating Deep Arguments Based on Depth Ontology -- 8.4 Conclusion -- Appendix -- References -- Part III Interpretation and the Validity of Research -- 9 Interpretations, Meanings, and Validity in Mixed-Methods Research -- 9.1 Truth Is Not Simple in a Complex Society -- 9.2 Epistemology for Late-Modern Mixed Methods -- 9.3 Falsifying Hypotheses: Possible and Desirable, but Not Necessary -- 9.4 A Retroductive Approach -- 9.5 Conclusion -- References -- 10 Summary of the Logics and Methods for Systematic Mixed-Methods Research -- 10.1 Induction -- 10.2 Deduction -- 10.3 Retroduction -- 10.4 Synthesis -- 10.5 Recognising Relevant Irreducible Phenomena (Holism) -- 10.6 Logical Linkage -- 10.7 Conclusion -- References -- 11 Glossary.
"This book is an authoritative introduction to systematic mixed-methods research by a leading author in the field. It brings together a wide range of important methods and transcends the now outdated qualitative-quantitative divide. The author explains these methods in clear language using ample examples and embeds them in explicitly critical ontological and epistemological foundations. This is a well-written and long-overdue book." - Dr Theo Papadopoulos, Director, Centre for the Analysis of Social Policy, University of Bath, UK This textbook provides clear and accessible guidance on the importance and practical application of mixed-methods research. Professor Olsen presents a range of multiple mixed-methods techniques using quantified data. Critical realism underpins key arguments. She offers detailed examples based on wide experience with international applied social-science projects. The book shows readers how to join quantitative and qualitative data together. Detailed methods include: using multiple-level data; constructing new indices based on mixing survey responses and personal interviews; and using focus groups alongside a large survey. The book provides readers with linkages of data between different software packages. It explains the analysis stage in mixed-methods research, interprets complex causality, shows how to transform data, and helps with interpreting social structures, institutions, and discourses. Finally, the book covers some epistemological issues. These include the nature and value of data. The author discusses validity and techniques for ensuring relevant, innovative conclusions. The book also touches on action research as an overarching participatory method. This book is based on clear and explicit definitions, is accessible to students and researchers across disciplines, and shows the appeal of mixed-methods research to those trained in quantitative methods. Wendy Olsen is Professor of Socio-Economics at the University of Manchester, UK. She researches employment, informal work, gender, norms, and labour markets. Her books include Rural Indian Social Relations (1996), Realist Methodology (ed., 4 volumes, 2010), and Data Collection (2012)
ISBN: 9783030931483
Standard No.: 10.1007/978-3-030-93148-3doiSubjects--Topical Terms:
2056562
Mixed methods research.
LC Class. No.: H62
Dewey Class. No.: 300.72
Systematic mixed-methods research for social scientists
LDR
:06739nmm a2200325 a 4500
001
2302884
003
DE-He213
005
20220728123202.0
006
m d
007
cr nn 008maaau
008
230409s2022 sz s 0 eng d
020
$a
9783030931483
$q
(electronic bk.)
020
$a
9783030931476
$q
(paper)
024
7
$a
10.1007/978-3-030-93148-3
$2
doi
035
$a
978-3-030-93148-3
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
H62
072
7
$a
JHB
$2
bicssc
072
7
$a
SOC000000
$2
bisacsh
072
7
$a
JHB
$2
thema
082
0 4
$a
300.72
$2
23
090
$a
H62
$b
.O52 2022
100
1
$a
Olsen, Wendy.
$3
3186011
245
1 0
$a
Systematic mixed-methods research for social scientists
$h
[electronic resource] /
$c
by Wendy Olsen.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Palgrave Macmillan,
$c
2022.
300
$a
xxiii, 245 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
Part I Setting Up Systematic Mixed Methods Research (SMMR) -- 1 Mixed Methods for Research on Open Systems -- 1.1 The Link Between Quantification and Mixed Methods -- 1.2 A Conceptual Introduction to Methodology and Ontology -- 1.3 Triangulation -- 1.4 Three Domains of Reality, As Realists Approach Research -- 1.5 Conclusion -- Appendix -- References -- 2 Mixed Methods with Weakly Structuralist Regression Models -- 2.1 Modelling and Methodology for Mixed Methods -- 2.2 Strategic Structuralism -- 2.3 Logics Used in Strategic Structuralist Research -- 2.4 Conclusion -- Appendix -- References -- Part II SMMR Approaches in Practical Terms -- 3 Causality in Mixed-Methods Projects That Use Regression -- 3.1 Causality in a Regression Model -- 3.2 Stages of Research Design Amendment for Mixed-Methods Research -- 3.3 Deduction Cannot Stand Alone -- 3.4 A Quantitatively Complex Example -- 3.5 Conclusion -- References -- 4 Multiple Logics in Systematic Mixed-Methods Research -- 4.1 Multiple Logics in Statistical Research: Some Exemplars -- 4.2 An Exemplar Using Participatory Research with Panel Data -- 4.3 A Statistical Exemplar with a Randomised Control Trial for a Social Intervention -- 4.4 Warranted Arguments and Two Caveats for Strategic Structuralism -- 4.5 An Exemplar Using Correspondence Analysis Without Regression -- Appendix -- References -- 5 Factor Analysis in a Mixed-Methods Context -- 5.1 Latent Variables and Entities -- 5.2 One Could Use Exploratory or Confirmatory Factor Analysis -- 5.3 Measurement Issues for the Manifest Variables in a Confirmatory Model -- 5.4 Mixed-Methods Research Designs Using Latent Variables -- 5.5 Whether to Use Scoping Analysis or Primary Field Research -- 5.6 Research Scope and Feedback Loops -- 5.7 Closed and Open Retroduction in a Factor Analysis Context -- 5.8 The Ontological Element -- 5.9 Conclusion -- References -- 6 Qualitative Comparative Analysis (QCA): A Classic Mixed Method Using Theory -- 6.1 QCA Is an Umbrella Over Many Procedures -- 6.2 Tables Help to Summarise Qualitative Comparative Evidence -- 6.3 Data Reduction Has Been Well Theorised -- 6.4 Threshold Tests, Quasi-Sufficiency, and Next Steps in QCA -- 6.5 Conclusion -- Appendix -- References -- 7 Calibration of Fuzzy Sets, Calibration of Measurement: A Realist Synthesis -- 7.1 Two Forms of Calibration: Ordered Categories or Fuzzy Sets -- 7.2 Features of Multiple Hypothesis Tests Using Fuzzy Sets -- 7.3 Asymmetry of the Causal Mechanisms? Issues Around Counterfactuals -- 7.4 How to Make and Illustrate Deep Linkages -- Appendix -- References -- 8 From Content Analysis to Discourse Analysis: Using Systematic Analysis of Meanings and Discourses -- 8.1 Methods of Qualitative Analysis and Elaboration of Findings -- 8.2 Qualitative Methods, with a Content Analysis Example -- 8.3 Three Illustrations Demonstrating Deep Arguments Based on Depth Ontology -- 8.4 Conclusion -- Appendix -- References -- Part III Interpretation and the Validity of Research -- 9 Interpretations, Meanings, and Validity in Mixed-Methods Research -- 9.1 Truth Is Not Simple in a Complex Society -- 9.2 Epistemology for Late-Modern Mixed Methods -- 9.3 Falsifying Hypotheses: Possible and Desirable, but Not Necessary -- 9.4 A Retroductive Approach -- 9.5 Conclusion -- References -- 10 Summary of the Logics and Methods for Systematic Mixed-Methods Research -- 10.1 Induction -- 10.2 Deduction -- 10.3 Retroduction -- 10.4 Synthesis -- 10.5 Recognising Relevant Irreducible Phenomena (Holism) -- 10.6 Logical Linkage -- 10.7 Conclusion -- References -- 11 Glossary.
520
$a
"This book is an authoritative introduction to systematic mixed-methods research by a leading author in the field. It brings together a wide range of important methods and transcends the now outdated qualitative-quantitative divide. The author explains these methods in clear language using ample examples and embeds them in explicitly critical ontological and epistemological foundations. This is a well-written and long-overdue book." - Dr Theo Papadopoulos, Director, Centre for the Analysis of Social Policy, University of Bath, UK This textbook provides clear and accessible guidance on the importance and practical application of mixed-methods research. Professor Olsen presents a range of multiple mixed-methods techniques using quantified data. Critical realism underpins key arguments. She offers detailed examples based on wide experience with international applied social-science projects. The book shows readers how to join quantitative and qualitative data together. Detailed methods include: using multiple-level data; constructing new indices based on mixing survey responses and personal interviews; and using focus groups alongside a large survey. The book provides readers with linkages of data between different software packages. It explains the analysis stage in mixed-methods research, interprets complex causality, shows how to transform data, and helps with interpreting social structures, institutions, and discourses. Finally, the book covers some epistemological issues. These include the nature and value of data. The author discusses validity and techniques for ensuring relevant, innovative conclusions. The book also touches on action research as an overarching participatory method. This book is based on clear and explicit definitions, is accessible to students and researchers across disciplines, and shows the appeal of mixed-methods research to those trained in quantitative methods. Wendy Olsen is Professor of Socio-Economics at the University of Manchester, UK. She researches employment, informal work, gender, norms, and labour markets. Her books include Rural Indian Social Relations (1996), Realist Methodology (ed., 4 volumes, 2010), and Data Collection (2012)
650
0
$a
Mixed methods research.
$3
2056562
650
1 4
$a
Sociological Methods.
$3
3594063
650
2 4
$a
Human Geography.
$3
896266
650
2 4
$a
Methodology of Data Collection and Processing.
$3
3598081
650
2 4
$a
Research Methods in Education.
$3
3219447
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-3-030-93148-3
950
$a
Social Sciences (SpringerNature-41176)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9444433
電子資源
11.線上閱覽_V
電子書
EB H62
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入