Graduate Certificate in Statistics for Developmental Psychology
-- ViewingNowThe Graduate Certificate in Statistics for Developmental Psychology is a crucial course for professionals seeking to apply statistical methods to developmental psychology research. This program meets the industry's growing demand for experts who can analyze and interpret complex data in psychology.
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⢠Fundamentals of Statistical Analysis: Descriptive and inferential statistics, probability distributions, hypothesis testing, confidence intervals
⢠Regression Analysis: Simple and multiple linear regression, model selection, diagnostics, and interpretation
⢠Experimental Design: Research methods, sampling techniques, randomization, control groups, and confounding variables
⢠Analysis of Variance (ANOVA): One-way and two-way ANOVA, factorial designs, and post-hoc tests
⢠Multivariate Analysis: Factor analysis, cluster analysis, and discriminant analysis
⢠Nonparametric Statistics: Rank-based tests, chi-square, and permutation tests
⢠Survival Analysis: Kaplan-Meier curves, Cox proportional hazards models, and event history analysis
⢠Longitudinal Data Analysis: Mixed-effects models, autoregressive models, and time series analysis
⢠Psychometrics: Scale development, reliability and validity, factor analysis, and item response theory
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