Professional Certificate in Statistics for Experimental Psychology
-- ViewingNowThe Professional Certificate in Statistics for Experimental Psychology is a vital course designed to equip learners with the essential statistical skills necessary for success in the experimental psychology field. This program covers a range of topics, including data analysis, experimental design, and statistical inference, all of which are crucial for conducting and interpreting psychological research.
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โข Descriptive Statistics: Measures of central tendency, dispersion, and shape; univariate and bivariate analysis.
โข Probability Theory: Definitions, axioms, and rules of probability; conditional probability, independence, and Bayes' theorem.
โข Inferential Statistics: Hypothesis testing, confidence intervals, and p-values.
โข Experimental Design: Within-subjects, between-subjects, and factorial designs; randomization, counterbalancing, and blocking.
โข Statistical Modeling: Linear regression, analysis of variance (ANOVA), and chi-square tests.
โข Power Analysis: Sample size calculation, power, and effect size.
โข Factor Analysis: Exploratory and confirmatory factor analysis; rotation, reliability, and validity.
โข Multivariate Analysis: Multiple regression, discriminant analysis, and canonical correlation.
โข Nonparametric Statistics: Rank-sum tests, Wilcoxon signed-rank test, and Kruskal-Wallis test.
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