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Open AccessDissertation10.23860/diss-3759

Development of a measure for the assessment of dyadic power sources

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The present study took several initial steps in the development of a psychometrically sound instrument for measuring the sources of power in intimate dyads. The Power Source Inventory (PSI) with some revisions, can provide a comprehensive measure of power sources. Recent reconceptualizations of power in intimate relationships have provided a parsimonious yet exhaustive framework for study. The multidimensional framework employed in this study has defined three primary dimensions of power: sources, processes, and outcomes. The present study was the first to refine and operationalize a definition of power sources. Over three hundred subjects were recruited from several sources nationally to provide a heterogeneous sample. Anonymous questionnaires were administered which included demographics, the newly developed PSI, and several published instruments to assess external construct validity of the PSI. The full instrument package took approximately an hour to complete. Principal Components

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The present study took several initial steps in the development of a psychometrically sound instrument for measuring the sources of power in intimate dyads. The Power Source Inventory (PSI) with some revisions, can provide a comprehensive measure of power sources. Recent reconceptualizations of power in intimate relationships have provided a parsimonious yet exhaustive framework for study. The multidimensional framework employed in this study has defined three primary dimensions of power: sources, processes, and outcomes. The present study was the first to refine and operationalize a definition of power sources. Over three hundred subjects were recruited from several sources nationally to provide a heterogeneous sample. Anonymous questionnaires were administered which included demographics, the newly developed PSI, and several published instruments to assess external construct validity of the PSI. The full instrument package took approximately an hour to complete. Principal Components

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Measure (data warehouse)Data sciencePsychologyComputer scienceInformation retrievalData mining

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