Psychological statistics

Psychology
Outline History Subfields
Basic types
Abnormal Biological Cognitive Comparative Cultural Differential Developmental Evolutionary Experimental Mathematical Personality Positive Quantitative Social
Applied psychology
Applied behavior analysis Clinical Community Consumer Educational Environmental Forensic Health Industrial and organizational Legal Military Occupational health Political Religion School Sport
Lists
Disciplines Organizations Psychologists Psychotherapies Publications Research methods Theories Timeline Topics
Psychology portal

Psychological statistics is the application of statistics to psychology. Some of the more common applications include:

1. psychometrics
2. learning theory
3. perception
4. human development
5. abnormal psychology
6. Personality test
7. psychological tests

Some of the more commonly used statistical tests in psychology are:

Parametric tests

• Student's t-test
• analysis of variance (ANOVA)
  • ANCOVA (Analysis of Covariance)
  • MANOVA (Multivariate Analysis of Variance)
• regression analysis
  • linear regression
  • hierarchical linear modelling
• correlation
  • Pearson product-moment correlation coefficient
  • Spearman's rank correlation coefficient

Non-parametric tests

• chi-square
• Mann–Whitney U

See also

• Quantitative psychology

References

• Cohen, B.H. (2007) Explaining Psychological Statistics, 3rd Edition, Wiley. ISBN 978-0-470-00718-1
• Howell, D. (2009) Statistical Methods for Psychology, International Edition, Wadsworth. ISBN 0-495-59785-6

External links

• Charles McCreery’s tutorials on chi-square, probability and Bayes’ theorem for Oxford University psychology students
• Matthew Rockloff's tutorials on t-tests, correlation and ANOVA