Statistics in Psychological Research

This course is part of Psychological Research Specialization

Instructor: Mike Stadler, PhD

What you'll learn

  •    Explain ways to categorize variables and describe data.
  •   Describe how graphs are used to visualize data.
  •   Describe the logic of inferential statistics and null hypothesis significance testing.
  •   Select the appropriate inferential test based on criteria.
  •    Compare and contrast the use of statistical significance, effect size, and confidence intervals.
  •   Explain the importance of statistical power.
  •   Describe how alternative procedures address the major objections to null hypothesis significance testing.

    • Skills you'll gain

  •   Sample Size Determination
  •   Graphing
  •   Quantitative Research
  •   Statistical Inference
  •   Statistics
  •   Data Analysis
  •   Plot (Graphics)
  •   Experimentation
  •   Scientific Methods
  •   Research Design
  •   Descriptive Statistics
  •   Psychology
  •   Statistical Hypothesis Testing
  •   Probability & Statistics
  •   Statistical Visualization
  •   Scatter Plots

    • There are 8 modules in this course

    This is primarily aimed at first- and second-year undergraduates interested in psychology, statistics, data analysis, and research methods along with high school students and professionals with similar interests.

    Introduction to Statistics for Psychological Research

    Data Analysis Basics

    Null Hypothesis Significance Testing

    Beyond Null Hypothesis Significance Testing

    Conclusion

    Course Assessment

    PsycLearn Essentials APA Student Resources

    Explore more from Data Analysis

    Methods for Quantitative Research in Psychology

    Psychological Research

    Basic Inferential Statistics for Psychology

    Ethics of Psychological Research

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