Selecting the Right Analyses for Your Data Quantitative Qualitative and Mixed Methods 1st Edition by W Paul Vogt, Elaine R Vogt, Dianne C Gardner, Lynne M Haeffele ISBN 1462515762  978-1462515769

Selecting the Right Analyses for Your Data Quantitative Qualitative and Mixed Methods 1st Edition by  W Paul Vogt, Elaine R Vogt, Dianne C Gardner, Lynne M Haeffele  – Ebook PDF Instant Download/Delivery: 1462515762, 978-1462515769

Full download Selecting the Right Analyses for Your Data Quantitative Qualitative and Mixed Methods 1st edition after payment

 

Product details:

ISBN 10: 1462515762

ISBN 13: 978-1462515769

Author: W Paul Vogt, Elaine R Vogt, Dianne C Gardner, Lynne M Haeffele 

 What are the most effective methods to code and analyze data for a particular study? This thoughtful and engaging book reviews the selection criteria for coding and analyzing any set of data–whether qualitative, quantitative, mixed, or visual. The authors systematically explain when to use verbal, numerical, graphic, or combined codes, and when to use qualitative, quantitative, graphic, or mixed-methods modes of analysis. Chapters on each topic are organized so that researchers can read them sequentially or can easily “flip and find” answers to specific questions. Nontechnical discussions of cutting-edge approaches–illustrated with real-world examples–emphasize how to choose (rather than how to implement) the various analyses. The book shows how using the right analysis methods leads to more justifiable conclusions and more persuasive presentations of research results.

User-Friendly Features
*Chapter-opening preview boxes that highlight useful topics addressed.
*End-of-chapter summary tables recapping the ‘dos and don’ts’ and advantages and disadvantages of each analytic technique.
*Annotated suggestions for further reading and technical resources on each topic.

See also Vogt et al.’s When to Use What Research Design, which addresses the design and sampling decisions that occur prior to data collection.

Selecting the Right Analyses for Your Data Quantitative Qualitative and Mixed Methods 1st Table of contents:

• Introduction

  • Overview of the Importance of Data Analysis in Research
  • The Relationship Between Research Questions and Data Analysis
  • Understanding Quantitative, Qualitative, and Mixed Methods Approaches

• Overview of Quantitative Research Methods

  • Characteristics of Quantitative Research
  • Types of Quantitative Data: Discrete vs. Continuous
  • Common Quantitative Analysis Techniques
  • Choosing the Right Statistical Tests

• Overview of Qualitative Research Methods

  • Characteristics of Qualitative Research
  • Types of Qualitative Data: Text, Images, and Observations
  • Common Qualitative Analysis Techniques: Thematic, Narrative, and Content Analysis
  • Choosing the Right Qualitative Methods

• Overview of Mixed Methods Research

  • What is Mixed Methods Research?
  • Benefits and Challenges of Mixed Methods Approaches
  • Designing a Mixed Methods Study
  • Combining Qualitative and Quantitative Data for Robust Analysis

• Selecting the Right Quantitative Analyses

  • Descriptive vs. Inferential Statistics
  • Parametric and Nonparametric Tests
  • Regression Analysis: Linear, Logistic, and More
  • Analyzing Variance (ANOVA, MANOVA)
  • Factor Analysis and Structural Equation Modeling
  • Time Series and Longitudinal Analysis

• Selecting the Right Qualitative Analyses

  • Coding and Categorizing Qualitative Data
  • Thematic Analysis and Pattern Recognition
  • Grounded Theory: Building Concepts from Data
  • Narrative Analysis and Discourse Analysis
  • Case Study Research and Phenomenological Analysis
  • Visual and Audio Data Analysis

• Designing a Mixed Methods Analysis Plan

  • Approaches to Integrating Quantitative and Qualitative Data
  • Sequential vs. Concurrent Mixed Methods Designs
  • Challenges in Mixed Methods Analysis
  • Practical Examples of Mixed Methods Analysis Plans

• Evaluating the Quality of Data and Analysis

  • Assessing Validity and Reliability in Quantitative Research
  • Ensuring Trustworthiness in Qualitative Research
  • Mixed Methods Quality Considerations: Triangulation and Interpretation
  • Ethical Considerations in Data Analysis

• Statistical Software and Tools for Quantitative Analysis

  • Overview of Popular Statistical Software Packages (e.g., SPSS, R, SAS)
  • Selecting the Right Software for Your Data
  • Data Entry, Cleaning, and Preparation Techniques

• Qualitative Software and Tools

  • Overview of Popular Qualitative Software (e.g., NVivo, ATLAS.ti)
  • Using Software for Coding and Organizing Data
  • Analyzing Textual, Audio, and Visual Data with Qualitative Tools

• Mixed Methods Software and Tools

  • Tools for Analyzing and Integrating Quantitative and Qualitative Data
  • Practical Considerations for Mixed Methods Software
  • Case Studies of Mixed Methods Software Applications

• Case Studies and Practical Examples

  • Real-Life Examples of Quantitative, Qualitative, and Mixed Methods Studies
  • How to Apply the Right Analysis to Your Own Research
  • Common Pitfalls and Solutions

• Conclusion

  • The Importance of Methodological Rigor in Data Analysis
  • Choosing the Best Analysis for Your Research Goals
  • The Future of Data Analysis: Trends and Emerging Techniques

• Appendices

  • Glossary of Terms
  • Suggested Readings and Resources
  • Index

 

People also search for Selecting the Right Analyses for Your Data Quantitative Qualitative and Mixed Methods 1st:

selecting the right analyses for your data

choosing or selecting

what would you look for when selecting an account

choosing the right assessment tools

selecting and discussing your topic

 

Tags:

W Paul Vogt,Elaine R Vogt,Dianne C Gardner,Lynne M Haeffele,Mixed Methods,Right Analyses