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Informationen zum Autor Herschel Knapp, PhD, MSSW, has more than 30 years of experience as a health care professional in a variety of domains. In addition to his clinical work as a psychotherapist, primarily in hospital settings, he has provided project management for innovative interventions designed to improve the quality of patient care via multisite, health science implementations. He teaches master’s and doctoral courses at Yeshiva University; he has also taught at the University of California, Los Angeles, University of Southern California, California State University, Los Angeles, and California State, San Bernardino. Dr. Knapp has served as the lead statistician on a longitudinal cancer research project and managed the program evaluation metrics for a multisite, nonprofit children’s center. His clinical work includes emergency/trauma therapy in hospital settings. Dr. Knapp has developed and implemented innovative telehealth systems, using videoconferencing technology to facilitate optimal health care service delivery to remote patients and to coordinate specialty consultations among health care providers, including interventions to diagnose and treat people with HIV and hepatitis, with special outreach to the homeless. He created and implemented a nurse research mentorship program, providing research and analytic education, enabling nurses to design, implement, analyze, and publish the results of their quality improvement projects. Dr. Knapp has published numerous articles in peer-reviewed health science journals and serves as a peer-reviewer for more than 20 science journals. He is also the author of other textbooks, including Intermediate Statistics Using SPSS (2018), Introductory Statistics Using SPSS (2nd ed., 2017), Practical Statistics for Nursing Using SPSS (2017), Therapeutic Communication: Developing Professional Skills (2nd ed., 2014), and Introduction to Social Work Practice: A Practical Workbook (2010). Klappentext Shows students how to properly select, process, and interpret statistics without heavy emphasis on theory, formula derivations, or abstract mathematical concepts Zusammenfassung Shows students how to properly select! process! and interpret statistics without heavy emphasis on theory! formula derivations! or abstract mathematical concepts Inhaltsverzeichnis Preface Acknowledgments About the Author PART I: STATISTICAL PRINCIPLES 1. Research Principles Learning Objectives Overview-Research Principles Rationale for Statistics Research Questions Treatment and Control Groups Rationale for Random Assignment Hypothesis Formulation Reading Statistical Outcomes Accept or Reject Hypotheses Variable Types and Levels of Measure Continuous Interval Ratio Categorical Nominal Ordinal Good Common Sense Key Concepts Practice Exercises 2. Sampling Learning Objectives Overview-Sampling Rationale for Sampling Time Cost Feasibility Extrapolation Sampling Terminology Population Sample Frame Sample Representative Sample Probability Sampling Simple Random Sampling Stratified Sampling Proportionate and Disproportionate Sampling Systematic Sampling Area Sampling Nonprobability Sampling Convenience Sampling Purposive Sampling Quota Sampling Snowball Sampling Sampling Bias Optimal Sample Size Good Common Sense Key Concepts Practice Exercises 3. Working in SPSS Learning Objectives Video Overview-SPSS Two Views: Variable View and Data View Variable View Name Type Width Decimals Label Values Missing Columns Align Measure Role Data View Value Labels Icon Codebo...
