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

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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 Ana...

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Bibliographic Details
Online Access: Full Text (via ProQuest)
Main Author: Strunk, Kamden K.
Other Authors: Mwavita, Mwarumba
Format: eBook
Language:English
Published: Abingdon, Oxon ; New York, NY : Routledge, 2020.
Subjects:
SPSS for Windows.
Education > Research > Statistical methods.
Education > Research > Data processing.
Educational statistics > Data processing.
Table of Contents:
  • 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.

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