Research methods in applied settings: an integrated approach to design and analysis
Jeffrey A. Gliner, Colorado State University, George A. Morgan, Colorado State University, Nancy L. Leech, University of Colorado Denver
- Resource Type:
- E-Book
- Edition:
- Third edition
- Publication:
- New York, NY : Routledge, 2017
- Copyright:
- ©2017
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More Details
- Table of Contents:
- Machine generated contents note: 1. Definitions, Purposes, and Dimensions of Research
- Definitions of Research
- Purposes of Research
- Research Dichotomies
- Research Types or Approaches
- Summary
- Key Concepts
- Key Distinctions
- Different Terms for Similar Concepts
- Interpretation Questions
- Application Problems
- Notes
- 2. Planning a Quantitative Research Project
- Overview of the Steps in the Research Plan
- Research Problems
- Review of the Literature
- Summary
- Key Concepts
- Key Distinctions
- Interpretation Questions
- Application Problems
- 3. Variables, Research Questions, and Hypotheses
- Variables
- Research Hypotheses and Questions
- Framework for Stating Research Questions/Hypotheses
- Summary
- Key Concepts
- Key Distinctions
- Interpretation Questions
- Application Problems
- Notes
- 4. Research Approaches
- Overview of the Research Approaches
- Research Approaches with an Active Independent Variable
- Research Approaches with Attribute Independent Variables
- Summary
- Key Concepts
- Key Distinctions
- Interpretation Questions
- Application Problems
- 5. Randomized Experimental and Quasi-Experimental Designs
- Design Terminology
- Quasi-Experimental Designs with Major Limitations
- Better Quasi-Experimental Designs
- Time-Series Designs
- Randomized Experimental Designs
- Summary
- Key Concepts
- Key Distinctions
- Interpretation Questions
- Application Problems
- Notes
- 6. Single-Subject Designs
- Reversal Designs
- Multiple Baseline Designs
- Alternating Treatment Designs
- Measurement and Data Analysis
- Generalization and Meta-Analysis of Single-Subject Designs
- Summary
- Key Concepts
- Key Distinctions
- Interpretation Questions
- Application Problems
- 7. Nonexperimental Approaches/Designs
- Quantitative Nonexperimental Research Approaches
- Expanded View of the Five Quantitative Approaches
- Qualitative Nonexperimental Research Approaches
- Summary
- Key Concepts
- Key Distinctions
- Interpretation Questions
- Application Problems
- Notes
- 8. Internal Validity
- Identifying Causal Relationships
- Evaluating Internal Validity
- Traditional Threats to Internal Validity
- Summary
- Key Concepts
- Key Distinctions
- Interpretation Questions
- Application Problems
- 9. Sampling and Introduction to External Validity
- What Is Sampling?
- Sampling Designs
- How Many Participants?
- External Validity
- Sampling and the Internal and External Validity of a Study
- Summary
- Key Concepts
- Key Distinctions
- Different Terms for Similar Concepts
- Interpretation Questions
- Application Problems
- 10. Measurement and Descriptive Statistics
- Overview of the Normal Curve
- Measurement
- Descriptive Statistics and Graphs
- More on the Normal Curve
- Levels of Measurement and Descriptive Statistics
- Summary
- Key Concepts
- Key Distinctions
- Interpretation Questions
- Application Problems
- Notes
- 11. Measurement Reliability
- Measurement Reliability
- Methods to Assess Measurement Reliability
- Summary
- Key Concepts
- Key Distinctions
- Interpretation Questions
- Application Problems
- Notes
- 12. Measurement Validity
- Validity in the 1985 Standards for Educational Psychological Testing
- Validity in the 1999 Standards for Educational Psychological Testing
- Evaluation of Measurement Validity
- Summary
- Key Concepts
- Key Distinctions
- Interpretation Questions
- Application Problems
- 13. Types of Data Collection Techniques
- Overview
- Standardized Versus Investigator-Developed Instruments
- Researcher-Observed Measures
- Tests and Documents
- Self-Report Measures
- Summary
- Key Concepts
- Key Distinctions
- Interpretation Questions
- Application Problems
- 14. Ethical Issues in Conducting the Study
- Ethical Principles in Human Research
- Ethical Issues in the Sample Selection
- Ethical Issues and the Methods Section
- Approval from the Institutional Review Board
- Ethical Issues with Regard to the Data Collection
- Summary
- Key Concepts
- Key Distinctions
- Interpretation Questions
- Application Problems
- 15. Practical Issues in Data Collection and Coding
- Initial Steps in the Research Process
- Data Coding, Entry, and Checking
- Data Reduction: Applying Measurement Reliability and Validity
- Summary
- Key Concepts
- Key Distinctions
- Interpretation Questions
- Application Problems
- 16. Making Inferences from Sample Data I: The Null Hypothesis Significance Testing Approach
- Example
- Null Hypothesis (H0) and Alternative Hypothesis (H1)
- Inferential Process
- Understanding and Assessing Statistical Power
- Problems with Null Hypothesis Significance Testing
- Improvements to NHST
- Summary
- Key Concepts
- Key Distinctions
- Interpretation Questions
- Application Problems
- Notes
- 17. Making Inferences from Sample Data II: The Evidence-Based Approach
- Problems with Considering Only a Single Study
- Confidence Intervals
- Effect Sizes
- Meta-Analysis
- Summary
- Key Concepts
- Key Distinctions
- Interpretation Questions
- Application Problems
- 18. General Design Classifications for Selection of Difference Statistical Methods
- General Design Classifications
- More Design Considerations
- Diagramming Designs
- Describing the Various Types of Design
- Design Classifications of Specific Research Designs
- Summary
- Key Concepts
- Key Distinctions
- Interpretation Questions
- Application Problems
- Notes
- 19. Selection of Appropriate Statistical Methods: Integration of Design and Analysis
- Review of Concepts Necessary for Selecting Inferential Statistics
- Selection of Appropriate Inferential Statistics
- General Linear Model
- Summary
- Key Concepts
- Key Distinctions
- Different Term for Similar Concept
- Interpretation Questions
- Application Problems
- Notes
- 20. Data Analysis and Interpretation: Basic Difference Questions
- Analyzing Single-Factor (Between-Groups) Designs with Parametric Statistics
- Analyzing Single-Factor (Between-Groups) Designs with Nonparametric Statistics
- Analyzing Single-Factor Repeated-Measures Designs with Parametric Statistics
- Analyzing Single-Factor Within-Subjects Designs with Nonparametric Statistics
- Advantages and Disadvantages of Within-Subject Designs
- Summary
- Key Concepts
- Key Distinctions
- Interpretation Questions
- Application Problems
- 21. Analysis and Interpretation of Basic Associational Research Questions
- Analyzing Continuous Variables with Parametric Statistics
- Using Nonparametric Associational Statistics
- Misleading Correlation Coefficients
- Associational Statistics for Nominal Variables
- Summary
- Key Concepts
- Key Distinctions
- Interpretation Questions
- Application Problems
- Notes
- 22. Analysis and Interpretation of Complex Research Questions
- Analysis and Interpretation of Complex Difference Questions
- Analysis and Interpretation of Complex Associational Questions
- Summary
- Key Concepts
- Key Distinctions
- Interpretation Questions
- Application Problems
- Note
- 23. Evaluating Research Validity: Part I
- Framework for Evaluating Research Validity
- Analysis of the Design and Methods
- Evaluation of the Four Key Dimensions of Research Validity
- Summary
- Key Concepts
- Key Distinctions
- Interpretation Questions
- Application Problems
- 24. Evaluating Research Validity: Part II
- Overall
- Measurement Validity of the Constructs
- External Validity
- Other Issues
- Relative Importance of Different Validity Dimensions
- Summary
- Key Concepts
- Key Distinctions
- Interpretation Questions
- Application Problems
- 25. Evaluating Research for Evidence-Based Practice
- Levels of Evidence
- Problems with the Use of Levels of Evidence Hierarchies
- Process of Evidence-based Practice
- Summary
- Key Concepts
- Key Distinctions
- Interpretation Questions
- Application Problems
- 26. Writing the Research Report
- Anatomy of a Research Article
- Ethical Issues Related to Publishing and Reviewing
- Summary
- Key Concepts
- Key Distinctions
- Interpretation Questions
- Application Problems
- Notes
- Appendix A Suggested Readings
- Appendix B Confusing Terms
- Appendix C Glossary
- Appendix D Answers to the Even Numbered Interpretation Questions and Odd Numbered Application Problems
- Appendix E Questions for Evaluating Research Validity
- Appendix F Making APA Tables and Figures
- Appendix G Writing About Your Results.
- Author/Creator:
- Gliner, Jeffrey A. , author
- Contributors:
- Leech, Nancy L. , author
- Languages:
- English
- Language Notes:
- Item content: English
- Other Related Resources:
- Print version: Research methods in applied settings [by Gliner, J.A.] (Third edition; New York, NY : Routledge, 2016 — ISBN 9781138852976; LCCN 2016003978)
- Subjects:
- General Notes:
- Includes bibliographical references and indexes.
Electronic reproduction. Ipswich, MA Available via World Wide Web.
Description based on online resource; title from digital title page (viewed on August 05, 2016). - Physical Description:
- 1 online resource.
- Digital Characteristics:
- text file
- Call Numbers:
- H62 .G523 2017
- ISBNs:
- 9781315723082
1315723085
9781317526902
1317526902
9781138852976 [Invalid]
9781138853010 [Invalid] - Library of Congress Control Numbers:
- 2016011486
- OCLC Numbers:
- 944179858
- Other Control Numbers:
- 1293621 (source: EbpS)
[Unknown Type]: ybp13096777