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OverviewFull Product DetailsAuthor: David W. GerbingPublisher: Taylor & Francis Ltd Imprint: Routledge Edition: 2nd edition Weight: 0.857kg ISBN: 9781032244020ISBN 10: 103224402 Pages: 358 Publication Date: 30 January 2023 Audience: General/trade , General Format: Hardback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1. R for Data Analysis. 2. Read and Write Data. 3. Manage Data. 4. Categorical Variables. 5. Continuous Variables. 6. Statistics. 7. Compare Two Samples. 8. Compare Multiple Samples. 9. Factorial Designs. 10. Correlation. 11. Regression Analysis. 12. Multiple Regression. 13. Categorical Regression Variables. 14. Causality. 15. Item and Factor Analysis. 16. References. 17. Index.ReviewsAuthor InformationDavid Gerbing is Professor in the Applied Data Science program in the School of Business, Portland State University. He has published extensively in a wide range of social, behavioral, and methodological journals, and contributed some basic methodological concepts to develop the two-step method for the analysis called structural equation modeling. Tab Content 6Author Website:Countries AvailableAll regions |
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