Jeffrey A. Gliner, George A. Morgan, Nancy L. Leech

Research Methods in Applied Settings (eBook, PDF)

An Integrated Approach to Design and Analysis, Third Edition

• Format: PDF

Produktbeschreibung

This crystal clear, applied text teaches readers how to plan, conduct, and write a research project and select and interpret data through its integrated approach to research methods. Although not a statistics book, readers learn to master which technique to use when and how to analyze results, making them better consumers of research. Organized around the steps of conducting a research project, independent sections and chapters can be read in any order for utmost learning flexibility. A consistent framework increases comprehension. Numerous examples, diagrams, tables, key terms, summaries, applied problems and questions, and suggested readings further promote understanding.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 620
• Erscheinungstermin: 28. Juli 2016
• Englisch
• ISBN-13: 9781317526902
• Artikelnr.: 45537870

Autorenporträt

Jeffrey A. Gliner is Professor Emeritus of Occupational Therapy at Colorado State University. He taught graduate level research methods, statistics, and program evaluation courses to masters and doctoral level students for more than 20 years.

George A. Morgan is a Professor Emeritus of Education and Human Development at Colorado State University. He taught research methods and applied statistics to graduate students in several departments at Colorado State. In addition to writing textbooks on SPSS and research methods, he currently advises students on their dissertation research.

Nancy L. Leech is a Professor at the University of Colorado Denver. Dr. Leech is currently teaching graduate level courses in research, statistics, and measurement.

Inhaltsangabe

Part I. Introductory Chapters 1. Definitions, Purposes, and Dimensions of
Research 2. Planning a Quantitative Research Project Part II: Quantitative
Research Approaches, Questions, and Designs 3. Variables, Research
Questions, and Hypotheses 4. Research Approaches 5. Randomized Experimental
and Quasi-Experimental Designs 6. Single-Subject Designs 7.
Non-experimental Approaches/Designs 8. Internal Validity Part III:
Sampling, Measurement and Data Collection 9. Sampling and Introduction to
External Validity 10. Measurement and Descriptive Statistics 11.
Measurement Reliability 12. Measurement Validity 13. Types of Data
Collection Techniques 14. Ethical Issues in Conducting the Study 15.
Practical Issues in Data Collection and Coding Part IV: Data Analysis and
Interpretation 16. Making Inferences from Sample Data I: The Null
Hypothesis Significance Testing Approach 17. Making Inferences From Sample
Data II: The Evidence-Based Approach 18. General Design Classifications for
Selection of Difference Statistical Methods 19. Selection of Appropriate
Statistical Methods: Integration of Design and Analysis 20. Data Analysis
and Interpretation - Basic Difference Questions 21. Analysis and
Interpretation of Basic Associational Research Questions 22. Analysis and
Interpretation of Complex Research Questions Part V: Evaluating and Writing
Research Reports 23. Evaluating Research Validity: Part I 24. Evaluating
Research Validity: Part II 25. Evaluating Research for Evidence-Based
Practice 26. Writing the Research Report