Modeling shared decision-making: from factor analysis to mimic models
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Abstract
Shared decision-making (SDM) is a collaborative medical-decision making process that is presumed to be associated with numerous positive patient outcomes. This manuscript describes efforts to develop a brief assessment tool capable of capturing patient perceptions of a recent SDM experience and evaluating patient cognitive-affective decisional outcomes related to their SDM experience. These efforts included traditional scale development methods using factor analytic techniques assuming a reflective measurement model for SDM/SDM Quality and an alternative approach to measuring SDM Quality as a single, mixed model latent variable using dominance analysis and the multiple indicator multiple indicator causes (MIMIC) model framework.
Table of Contents
Introduction -- Background -- Study 1: Answering the call/equate pilot work -- Study 2: Further validation of equate and assessment of SDM measurement Model appropriatenes -- Appendix A. Recommended best practices for scale development -- Appendix B. Cognitive interviewing materials -- Appendix C. Descriptive statistics and zero-order correlations for N=244 and N=94 -- Appendix D. R script for equate dominance analysis -- Appendix E, 53 elements for shared decision-making models
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Ph.D. (Doctorate in Philosophy)
