Psychological statistics

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Psychological statistics is the application of formulas, theorems, numbers and laws 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

• Belhekar, V. M. (2016). Statistics for Psychology Using R, New Delhi: SAGE. ISBN 9789385985003
• 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
• Tabachnick, B. G., & Fidell, L. S. (2007). Using Multivariate Statistics, 6th ed. Boston: Pearson. ISBN 9780205849574
• Wilcox, R. (2012). Modern Statistics for the Social and Behavioral Sciences: A Practical Introduction. FL: CRC Press. ISBN 9781439834565

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