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Development And Initial Psychometric Evaluation Of The Computer-Based Prostate Cancer Screening Decision Aid Acceptance Scale For African-American Men, Otis L. Owens, Nikki R. Wooten, Abbas S. Tavakoli Jul 2019

Development And Initial Psychometric Evaluation Of The Computer-Based Prostate Cancer Screening Decision Aid Acceptance Scale For African-American Men, Otis L. Owens, Nikki R. Wooten, Abbas S. Tavakoli

Faculty Publications

BACKGROUND:

To reliably evaluate the acceptance and use of computer-based prostate cancer decision aids (CBDAs) for African-American men, culturally relevant measures are needed. This study describes the development and initial psychometric evaluation of the 24-item Computer-Based Prostate Cancer Screening Decision Aid Acceptance Scale among 357 African-American men.

METHODS:

Exploratory factor analysis (EFA) with maximum likelihood estimation and polychoric correlations followed by Promax and Varimax rotations. RESULTS: EFA yielded three factors: Technology Use Expectancy and Intention (16 items), Technology Use Anxiety (5 items), and Technology Use Self-Efficacy (3 items) with good to excellent internal consistency reliability at .95, .90, and .85, …


Development And Initial Psychometric Evaluation Of The Computer-Based Prostate Cancer Screening Decision Aid Acceptance Scale For African-American Men, Otis L. Owens, Nikki R. Wooten, Abbas S. Tavakoli Jul 2019

Development And Initial Psychometric Evaluation Of The Computer-Based Prostate Cancer Screening Decision Aid Acceptance Scale For African-American Men, Otis L. Owens, Nikki R. Wooten, Abbas S. Tavakoli

Faculty Publications

BACKGROUND:

To reliably evaluate the acceptance and use of computer-based prostate cancer decision aids (CBDAs) for African-American men, culturally relevant measures are needed. This study describes the development and initial psychometric evaluation of the 24-item Computer-Based Prostate Cancer Screening Decision Aid Acceptance Scale among 357 African-American men.

METHODS:

Exploratory factor analysis (EFA) with maximum likelihood estimation and polychoric correlations followed by Promax and Varimax rotations. RESULTS: EFA yielded three factors: Technology Use Expectancy and Intention (16 items), Technology Use Anxiety (5 items), and Technology Use Self-Efficacy (3 items) with good to excellent internal consistency reliability at .95, .90, and .85, …