How to Read, Evaluate, and Use Research

Cover
Half Title Page
Title Page
Copyright Page
Brief Contents
Detailed Contents
Preface
Acknowledgments
Chapter 1: Introduction and Overview
	Organizing Terms and Concepts
		Empirical (Data-Driven) Research
		Meta-Analysis
		Literature Reviews
	Why Scientific Literacy Is Important
	Nature of Data-Driven Research: Introduction to Research Methods
		A Last Thought on Paradigms
	Conclusion
	Check Your Understanding
	Guided Application
	Key Terms
	Suggested Readings
Chapter 2: Introduction and Overview of Data-Driven Articles
	Searching for Scientific Evidence
		Keywords
		Relevancy of Publications
		Peer-Reviewed Journal Articles
		The Peer-Review Process
	How to Cull Through Data-Driven Articles
		Types of Journals
		Timing of Publication
	Sections of Data-Driven Articles
		Title and Abstract
		Literature Review
		Research Methods
	Results
		Discussion, Conclusions, and Implications
	Conclusion
	Check Your Understanding
	Guided Application
	Key Terms
	Suggested Readings
Chapter 3: Literature Review
	What Is Involved in the Construction of a Useful Literature Review?
	What Are Some of the Potential Goals of a Literature Review?
	What Is in the Literature Review?
		The Statement of the Problem
		Synthesis of the Literature
		The Significance of the Research
		Research Purpose, Research Questions, and Research Hypotheses
	Conclusion
	Check Your Understanding
	Guided Application
	Key Terms
	Suggested Readings
Chapter 4: Methods and Results: Quantitative Approaches
	Overview
	Quantitative Methods
		Research Questions and Hypotheses
		Quantitative Designs
			Descriptive Designs
			Correlation Designs
			Experimental Designs
		Sampling, Participants, and Research Context
		Data Sources and Types
			Primary vs. Secondary Data Sources
			Dependent vs. Independent Variables
		Procedures for Data Analysis
			Descriptive Statistics
			Inferential Statistics
			Presentation of Results
			Spiess and Cooper: Presenting T-tests and ANOVA
			Spiess and Cooper: Regression Results
		Looking Out for Rigor
			Sample Representativeness
			Sample Size
			Internal and External Validity
			Transparency in Reporting
	Putting It All Together
	Check Your Understanding
	Guided Application
	Key Terms
	Suggested Readings
Chapter 5: Methods and Results: Qualitative Approaches
	Overview
	Qualitative Methods
		Research Questions and Aims
		Qualitative Designs
			Case Study
			Ethnography
			Grounded Theory
			Phenomenology
			Narrative Inquiry
			Qualitative Designs in Action
		Sampling, Participants, and Research Context
		Data Sources and Types
			Structured Versus Unstructured Protocols
		Procedures for Data Analysis
		Presentation of Results
	Looking Out for Rigor
		Credibility
		Dependability
		Bias
	Putting It All Together
	Check Your Understanding
	Guided Application
	Key Terms
	Suggested Readings
Chapter 6: Methods and Results: Mixed Methods Approaches
	Overview
	What Are Some Benefits Associated With Mixed Method Research?
	What Are Some Purposes of Mixed Method Research?
	Integration in Mixed Methods Research
		Integration Sampling
		Integration Research Questions
		Integration Research Design
		Integration Data Analysis and Presentation
	Looking Out for Rigor
	Putting It All Together
	Check Your Understanding
	Guided Application
	Key Terms
	Suggested Readings
Chapter 7: Putting it All Together—Discussion, Conclusions, and Implications
	Overview
	Ending a Research Article
		Summarizing and Interpreting the Study Findings
		Limitations—Where Rigor Is Addressed
		Implications and Future Directions
			Implications for Practice
			Implications for Policy
			Future Directions
		Organization and Structure
		A Caveat and Caution
	Putting It All Together—Reading and Evaluating Research From Start to Finish
	Check Your Understanding
	Guided Application
	Suggested Readings
	Quantitative Methods Article Checklist
	Qualitative Methods Article Checklist
	Mixed Methods Article Checklist
Appendix A
Appendix B
Appendix C
Glossary
References
Index