Psychology Category
Quantitative tools psychologists use to describe data, test hypotheses, estimate effects, and build models, including t tests, ANOVA, regression, and nonparametric methods.
Welcome to the Statistical Methods in Psychology category of this site. Here you will find clear, detailed articles covering key topics related to Statistical Methods in Psychology.
A detailed guide to analysis of covariance and adjusted means. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to bayesian estimation of psychological parameters. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to bootstrapping confidence intervals in statistics. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to chi square tests of association between variables. Covers key mechanisms, psychological significance, and clinical relevance.
Learn about cohen d for group mean differences — covering cohen d, computing d, and the role of cohen d in this fundamental psychological process.
A detailed guide to conducting power analysis before data collection. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to confidence intervals for population parameters. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to descriptive statistics for summarizing research data. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to effect sizes in psychological research. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to exploratory data analysis and data visualization. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to factorial analysis of variance designs. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to friedman test for repeated measures designs. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to hierarchical linear modeling in psychology. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to hierarchical regression with block entry. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to independent samples t test assumptions. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to interaction effects in factorial designs. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to kruskal wallis test for several groups. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to logistic regression for categorical outcomes. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to mann whitney u test for independent groups. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to measures of central tendency in psychology. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to mediation analysis and indirect effects. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to meta analysis of psychological research findings. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to mixed factorial designs with between and within factors. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to moderation analysis of interaction terms. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to multilevel models for nested longitudinal data. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to multiple regression with predictor variables. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to nonparametric tests for non normal data. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to normal distribution and standard z scores. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to null hypothesis significance testing in psychology. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to one way analysis of variance design. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to p values and statistical significance decisions. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to paired samples t test for dependent data. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to partial correlation controlling for confounds. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to pearson correlation coefficient interpretation. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to post hoc comparisons and correction procedures. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to publication bias assessment with funnel plots. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to random effects meta analysis and heterogeneity. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to repeated measures analysis of variance. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to sampling distributions and the central limit theorem. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to simple linear regression prediction of outcomes. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to spearman rank correlation for ordinal data. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to standard deviation and variance of scores. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to standard error of the mean estimation. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to standardized beta weights in regression. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to statistical power and adequate sample size. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to structural equation modeling in psychological research. Covers key mechanisms, psychological significance, and clinical relevance.
Learn about t tests for comparing two group means — covering t tests, the t statistic, and the role of t test in this fundamental psychological process.
A detailed guide to type one and type two error rates. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to variability and spread of data distributions. Covers key mechanisms, psychological significance, and clinical relevance.
A detailed guide to wilcoxon signed rank test for paired scores. Covers key mechanisms, psychological significance, and clinical relevance.
