ABSTRACT

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This book presents an integrated approach to learning about research design alongside statistical analysis concepts. Strunk and Mwavita maintain a focus on applied educational research throughout the text, with practical tips and advice on how to do high-quality quantitative research.

Design and Analysis in Educational Research teaches research design (including epistemology, research ethics, forming research questions, quantitative design, sampling methodologies, and design assumptions) and introductory statistical concepts (including descriptive statistics, probability theory, sampling distributions), basic statistical tests (like z and t), and ANOVA designs, including more advanced designs like the factorial ANOVA and mixed ANOVA, using SPSS for analysis. Designed specifically for an introductory graduate course in research design and statistical analysis, the book takes students through principles by presenting case studies, describing the research design principles at play in each study, and then asking students to walk through the process of analyzing data that reproduce the published results. An online eResource is also available with data sets.

This textbook is tailor-made for first-level doctoral courses in research design and analysis, and will also be of interest to graduate students in education and educational research.

part |56 pages

Basic issues

chapter 3|22 pages

Basic educational statistics

part |22 pages

Null hypothesis significance testing

part |112 pages

Between subjects designs

chapter 806|22 pages

Comparing two sample means

The independent samples t-test

chapter 7|8 pages

Independent samples t-test case studies

chapter 8|35 pages

Comparing more than two sample means

The one-way ANOVA

chapter 9|9 pages

One-way ANOVA case studies

chapter 10|26 pages

Comparing means across two independent variables

The factorial ANOVA

chapter 11|10 pages

Factorial ANOVA case studies

part |78 pages

Within-subjects designs

chapter 13|6 pages

Paired samples t-test case studies

chapter 14|23 pages

Comparing more than two points from within the same sample

The within-subjects ANOVA

chapter 15|7 pages

Within-subjects ANOVA case studies

chapter 17|9 pages

Mixed ANOVA case studies

part |11 pages

Considering equity in quantitative research

chapter 27018|9 pages

Quantitative methods for social justice and equity

Theoretical and practical considerations 1