Design and analysis in educational research [electronic resource] : ANOVA designs in SPSS® / Kamden K. Strunk and Mwarumba Mwavita.

Description based upon print version of record.

Cover -- Half Title -- Endorsements -- Title Page -- Copyright Page -- Contents -- Acknowledgments -- Basic issues -- 1. Basic issues in quantitative educational research -- Research problems and questions -- Finding and defining a research problem -- Defining and narrowing research questions -- Reviewing the literature relevant to a research question -- Finding published research -- Reading published research and finding gaps -- Types of research methods -- Epistemologies, theoretical perspectives, and research methods -- Epistemology and the nature of knowledge

Connecting epistemologies to perspectives and methods -- Overview of ethical issues in human research -- Historical considerations -- The Belmont Report -- The common federal rule -- Conclusion -- 2. Sampling and basic issues in research design -- Sampling issues: populations and samples -- Sampling strategies -- Random sampling -- Representative (Quota) sampling -- Snowball sampling -- Purposive sampling -- Convenience sampling -- Sampling bias -- Self-selection bias -- Exclusion bias -- Attrition bias -- Generalizability and sampling adequacy -- Levels of measurement -- Nominal -- Ordinal

Interval -- Ratio -- A special case: Likert-type scales -- Basic issues in research design -- Operational definitions -- Random assignment -- Experimental vs. correlational research -- Basic measurement concepts -- Conclusion -- 3. Basic educational statistics -- Central tendency -- Mean -- Median -- Mode -- Comparing Mean, Median, and Mode -- Variability -- Range -- Variance -- Standard deviation -- Interpreting standard deviation -- Visual displays of data -- The normal distribution -- Skew -- Kurtosis -- Other tests of normality -- Standard scores -- Calculating z-scores

Calculating percentiles from z -- Calculating central tendency, variability, and normality estimates in SPSS -- Conclusion -- Notes -- Null hypothesis significance testing -- 4. Introducing the null hypothesis significance test -- Variables -- Independent variables -- Dependent variables -- Confounding variables -- Hypotheses -- The null hypothesis -- The Alternative hypothesis -- Overview of probability theory -- Calculating individual probabilities -- Probabilities of discrete events -- Probability distributions -- The sampling distribution -- Calculating the sampling distribution

Central limit theorem and sampling distributions -- Null hypothesis significance testing -- Understanding the logic of NHST -- Type I error -- Type II error -- Limitations of NHST -- Looking ahead at one-sample tests -- Notes -- 5. Comparing a single sample to the population using the one-sample Z-test and one-sample t-test -- The one-sample Z-test -- Introducing the one-sample Z-test -- Design considerations -- Assumptions of the test -- Calculating the test statistic -- Calculating and interpreting effect size estimates -- Interpreting the pattern of results -- The one-sample t-test

Introducing the one-sample t-test

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 Researchteaches 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.

OCLC-licensed vendor bibliographic record.