Penulis: Arch G. Woodside
Penerbit: Emerald Group Publishing Limited
Tahun: 2010
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Case Study Research. The need for a source offering broad and deep coverage of theory, methods, and practice in case study research is the central premise for this book — Case Study Research or CSR). CSR’s principal objectives include offering nitty–gritty details of processes (steps) in building theory and designing, implementing, and evaluating a broad range of case study research methods — coverage and depth that you will not find elsewhere in one source.
Case Study Research. CSR includes comparing the criticisms and strengths of case study research with theory and methods that rely on matrix–algebra-based hypotheses testing. CSR includes introductions and details within lengthy examples of using qualitative comparative analysis (QCA) with available software (fsqca.com) as well as an in depth treatment on building in degrees-of-freedom (DOF) in case study research. QCA is a Boolean-algebra-based approach for formal testing of the accuracy of complex statements of contingent relationships among recipes of antecedent conditions in predicting outcome conditions. Building in DOF analysis is often discussed in case study research but not to the depth that you find in this book — formal tests of hypotheses are possible in case studies using DOF analysis as well as other methods (e.g., latency response methods and system dynamics modeling).
Case Study Research. Students and scholars — recognizing the limited ability of informants to accurately report their own (mostly unconscious) thinking and doing processes — and the problems relating to self-editing biases of informants while answering questions — and the biases in the questions that researchers frame — frequently seek alternatives to using fixed-point survey response instruments and collecting verbal only responses. Case study researchers worry about (insist on) achieving high accuracy in understanding, explaining, and predicting thinking and doing processes. Case Study Research.
Case Study Research. CSR includes comparing the criticisms and strengths of case study research with theory and methods that rely on matrix–algebra-based hypotheses testing. CSR includes introductions and details within lengthy examples of using qualitative comparative analysis (QCA) with available software (fsqca.com) as well as an in depth treatment on building in degrees-of-freedom (DOF) in case study research. QCA is a Boolean-algebra-based approach for formal testing of the accuracy of complex statements of contingent relationships among recipes of antecedent conditions in predicting outcome conditions. Building in DOF analysis is often discussed in case study research but not to the depth that you find in this book — formal tests of hypotheses are possible in case studies using DOF analysis as well as other methods (e.g., latency response methods and system dynamics modeling).
Case Study Research. Students and scholars — recognizing the limited ability of informants to accurately report their own (mostly unconscious) thinking and doing processes — and the problems relating to self-editing biases of informants while answering questions — and the biases in the questions that researchers frame — frequently seek alternatives to using fixed-point survey response instruments and collecting verbal only responses. Case study researchers worry about (insist on) achieving high accuracy in understanding, explaining, and predicting thinking and doing processes. Case Study Research.
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