Applying quantitative methods, quantitative behavioral science (QBS) researchers collect and analyze data to uncover patterns and relationships that drive human behaviour. QBS studies involve exploring existing theories to generate new causal models. The book offers an approach for generating novel, parsimonious, and actionable models.
Applying quantitative methods, quantitative behavioral science (QBS) researchers collect and analyze data to uncover patterns and relationships that drive human behaviour. QBS studies involve exploring existing theories to generate new causal models. The book offers an approach for generating novel, parsimonious, and actionable models.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Dr. Charlette Donalds is a full-time faculty member of the Mona School of Business & Management (MSBM), The University of the West Indies (The UWI), Mona. She holds a PhD in Management Information Systems from The UWI. She has served in several capacities at the MSBM to include, Academic Director of the Masters in Computer Based Management Information Systems and Logistics & Supply Chain Management, and Head for the Decision Sciences & Information Systems Unit. She has authored two books, the first published in 2011 - Solving Managerial Problems with Spreadsheets and Databases, and the second more recently in 2022 - Cybercrime & Cybersecurity in the Global South. Dr. Kweku-Muata Osei-Bryson is a Professor Emeritus of Information Systems at Virginia Commonwealth University in Richmond, VA. He has been a Visiting Professor of Computing at the University of the West Indies, Mona, and Information Systems at the Ghana Institute of Management & Public Administration. Previously he was Professor of Information Systems & Decision Sciences at Howard University in Washington, DC. He has also worked as an Information Systems practitioner in industry and government in the USA and Jamaica. He holds a PhD in Applied Mathematics (Management Science & Information Systems) from the University of Maryland at College Park; a M.S. in Systems Engineering from Howard University; and a B.Sc. in Natural Sciences from the University of the West Indies at Mona.
Inhaltsangabe
1. Quantitative Behavioural Science Research: Challenges, Prior and New Approaches 2. A Process for Generating Strong, Novel, and Parsimonious Explanatory Models 3. Illustration of the Process for Generating Strong, Novel, and Parsimonious Causal Models 4. Empirical Evaluation of the Causal Model of the Case Study 5. Towards an Exploration of the Scope of Context 6. Towards a Substantive Exploration of Contributions to Practice 7. Towards Making the Results of Likert-Scale Behavioural Science Research Actionable in Organizational Settings Appendix A. Binary Integer Programming Problem - Select the Candidate Models (SCM) Appendix B. Constructs, Measurement Items, Descriptive Statistics , and Sources Appendic C. Otem Loading and Cross Loadings Appendix D. Research Hypotheses of Their Evaluations in This and Previous Studies.
1. Quantitative Behavioural Science Research: Challenges, Prior and New Approaches 2. A Process for Generating Strong, Novel, and Parsimonious Explanatory Models 3. Illustration of the Process for Generating Strong, Novel, and Parsimonious Causal Models 4. Empirical Evaluation of the Causal Model of the Case Study 5. Towards an Exploration of the Scope of Context 6. Towards a Substantive Exploration of Contributions to Practice 7. Towards Making the Results of Likert-Scale Behavioural Science Research Actionable in Organizational Settings Appendix A. Binary Integer Programming Problem - Select the Candidate Models (SCM) Appendix B. Constructs, Measurement Items, Descriptive Statistics , and Sources Appendic C. Otem Loading and Cross Loadings Appendix D. Research Hypotheses of Their Evaluations in This and Previous Studies.
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