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Part I Setting Up Systematic Mixed Methods Research (SMMR) |
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1 | (56) |
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1 Mixed Methods for Research on Open Systems |
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3 | (30) |
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1.1 The Link Between Quantification and Mixed Methods |
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4 | (4) |
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1.2 A Conceptual Introduction to Methodology and Ontology |
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8 | (10) |
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18 | (2) |
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1.4 Three Domains of Reality, As Realists Approach Research |
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20 | (7) |
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27 | (6) |
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29 | (1) |
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29 | (4) |
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2 Mixed Methods with Weakly Structuralist Regression Models |
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33 | (24) |
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2.1 Modelling and Methodology for Mixed Methods |
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34 | (9) |
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2.2 Strategic Structuralism |
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43 | (5) |
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2.3 Logics Used in Strategic Structuralist Research |
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48 | (3) |
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51 | (6) |
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52 | (2) |
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54 | (3) |
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Part II SMMR Approaches in Practical Terms |
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57 | (144) |
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3 Causality in Mixed-Methods Projects That Use Regression |
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59 | (20) |
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3.1 Causality in a Regression Model |
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60 | (5) |
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3.2 Stages of Research Design Amendment for Mixed-Methods Research |
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65 | (1) |
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3.3 Deduction Cannot Stand Alone |
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66 | (2) |
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3.4 A Quantitatively Complex Example |
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68 | (6) |
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74 | (5) |
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76 | (3) |
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4 Multiple Logics in Systematic Mixed-Methods Research |
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79 | (30) |
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4.1 Multiple Logics in Statistical Research: Some Exemplars |
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81 | (8) |
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4.2 An Exemplar Using Participatory Research with Panel Data |
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89 | (2) |
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4.3 A Statistical Exemplar with a Randomised Control Trial for a Social Intervention |
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91 | (6) |
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4.4 Warranted Arguments and Two Caveats for Strategic Structuralism |
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97 | (1) |
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4.5 An Exemplar Using Correspondence Analysis Without Regression |
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98 | (11) |
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103 | (4) |
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107 | (2) |
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5 Factor Analysis in a Mixed-Methods Context |
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109 | (22) |
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5.1 Latent Variables and Entities |
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109 | (7) |
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5.2 One Could Use Exploratory or Confirmatory Factor Analysis |
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116 | (2) |
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5.3 Measurement Issues for the Manifest Variables in a Confirmatory Model |
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118 | (1) |
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5.4 Mixed-Methods Research Designs Using Latent Variables |
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119 | (1) |
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5.5 Whether to Use Scoping Analysis or Primary Field Research |
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120 | (2) |
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5.6 Research Scope and Feedback Loops |
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122 | (1) |
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5.7 Closed and Open Retroduction in a Factor Analysis Context |
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123 | (3) |
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5.8 The Ontological Element |
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126 | (1) |
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126 | (5) |
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128 | (3) |
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6 Qualitative Comparative Analysis (QCA): A Classic Mixed Method Using Theory |
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131 | (26) |
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6.1 QCA Is an Umbrella Over Many Procedures |
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134 | (2) |
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6.2 Tables Help to Summarise Qualitative Comparative Evidence |
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136 | (5) |
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6.3 Data Reduction Has Been Well Theorised |
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141 | (6) |
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6.4 Threshold Tests, Quasi-Sufficiency, and Next Steps in QCA |
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147 | (1) |
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148 | (9) |
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149 | (5) |
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154 | (3) |
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7 Calibration of Fuzzy Sets, Calibration of Measurement: A Realist Synthesis |
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157 | (18) |
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7.1 Two Forms of Calibration: Ordered Categories or Fuzzy Sets |
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158 | (5) |
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7.2 Features of Multiple Hypothesis Tests Using Fuzzy Sets |
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163 | (1) |
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7.3 Asymmetry of the Causal Mechanisms? Issues Around Counterfactuals |
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163 | (4) |
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7.4 How to Make and Illustrate Deep Linkages |
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167 | (8) |
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169 | (4) |
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173 | (2) |
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8 From Content Analysis to Discourse Analysis: Using Systematic Analysis of Meanings and Discourses |
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175 | (26) |
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8.1 Methods of Qualitative Analysis and Elaboration of Findings |
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176 | (1) |
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8.2 Qualitative Methods, with a Content Analysis Example |
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176 | (5) |
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8.3 Three Illustrations Demonstrating Deep Arguments Based on Depth Ontology |
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181 | (14) |
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195 | (6) |
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198 | (1) |
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198 | (3) |
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Part III Interpretation and the Validity of Research |
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201 | (42) |
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9 Interpretations, Meanings, and Validity in Mixed-Methods Research |
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203 | (20) |
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9.1 Truth Is Not Simple in a Complex Society |
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203 | (7) |
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9.2 Epistemology for Late-Modern Mixed Methods |
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210 | (3) |
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9.3 Falsifying Hypotheses: Possible and Desirable, but Not Necessary |
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213 | (4) |
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9.4 A Retroductive Approach |
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217 | (2) |
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219 | (4) |
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220 | (3) |
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10 Summary of the Logics and Methods for Systematic Mixed-Methods Research |
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223 | (12) |
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224 | (1) |
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225 | (2) |
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227 | (1) |
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228 | (1) |
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10.5 Recognising Relevant Irreducible Phenomena (Holism) |
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229 | (1) |
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230 | (1) |
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231 | (4) |
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233 | (2) |
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235 | (8) |
Index |
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243 | |