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Author Keltgen, Jaciel, author

Title Using ordinal logistic regression to analyze job satisfaction among three generations of physicians / Jaciel Keltgen
Published London : SAGE Publications Ltd, 2019
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Sage Research Methods Cases    View Resource Record  

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Description 1 online resource
Series SAGE Research Methods. Cases
SAGE Research Methods. Cases
Summary This dissertation employed neo-institutional theory to hypothesize job satisfaction factors among three generations of American physicians before passage of the Affordable Care Act (ACA), and was intended to lay the foundation for job satisfiers most important for Millennial physicians. Forecasts suggest there will be a shortage of physicians to serve an aging populace; therefore, health care employers may need to change compensation packages to include more leisure time to retain doctors. I chose to conduct ordinal logistic regression analysis of data gathered by the Center for Studying Health System Change. Data were used to build a predictive statistical model in concert with independent variables associated with generational and job satisfaction literature. Independent variables included generational membership, gender, type of practice, years in practice, specialty, income, hours worked per week, and malpractice concerns. Using this method required me to switch from SPSS to Stata, learn to use the new statistical software, recode variables, learn to run specialized commands, and analyze statistically significant correlations between factors by generational membership (Traditionalists, Baby Boomers, and Generation Xers) and gender
Bibliography Includes bibliographical references and index
Notes Description based on XML content
Subject United States. Patient Protection and Affordable Care Act.
Job satisfaction -- United States.
Physicians -- United States -- Attitudes.
Form Electronic book
ISBN 1526474409
9781526474407 (ebook)