Below is a list of various tutorials on YouTube in English for SPSS and R. This list is constantly updated and expanded.
General statistics tutorials can be found here.
Inhaltsverzeichnis
RStudio – graphical user interface for R Statistics
- How To Install R On Your Computer
- User-friendly interface for R Statistics – RStudio (download + installation)
- RStudio introduction: All basics in just 3 Minutes
Importing data
Importing data into R
- Import data from an Excel worksheet into R
- Import data from a CSV-file into R
- Import data from a TXT-file into R
- Import data from an SPSS-file into R
Importing data into IBM SPSS Statistics
Working with SPSS
Data transformation
Tables
Descriptive Statistics
R Statistics
SPSS
One Sample tests
Chi-Square Goodness of Fit-Test
Sample Size calculation
R Statistics
- Chi Square Goodness of Fit in R – calculation and interpretation
- Effect Size for Chi Square goodness of fit test
- Reporting Chi-Square Goodness-of-fit test R
SPSS
- Chi Square Goodness of Fit in SPSS – calculation and interpretation
- How to calculate the effect size for Chi Square goodness of fit test in SPSS
- Reporting results of the Chi-Square Goodness-of-fit test SPSS
One Sample Wilcoxon-Test
Sample Size calculation
R Statistics
- One sample Wilcoxon signed-rank test in R – calculation and interpretation
- How to calculate the effect size for the one sample Wilcoxon test in R
- Reporting results from the one sample Wilcoxon test in R
SPSS
- One sample Wilcoxon signed-rank test in SPSS – calculation and interpretation
- How to calculate the effect size for the one sample Wilcoxon test in SPSS
- Reporting results from one sample Wilcoxon signed-rank test in SPSS
One sample t-Test
Sample Size calculation
- One sample t-Test – calculate required sample size with G*Power
- One sample t-Test – calculate required sample size with SPSS
R Statistics
- Testing the normality assumption for the one sample t-test in R
- One sample t-Test in R – calculation and interpretation
- Effect size for one sample t-test in R
- Reporting one sample t-test – results from R
SPSS
- One sample t-test in SPSS – checking normality assumption
- One sample t-Test in SPSS – calculation and interpretation
- Reporting results from one sample t-test in SPSS
Two sample tests (independent samples)
Two sample t-Test (Independent samples t-Test)
Sample Size calculation
- Two sample t-Test – calculate required sample size with G*Power
- Two sample t-Test – calculate required sample size with SPSS
R Statistics
- Two sample t-Test in R – calculation and interpretation
- Two sample t-test in R – checking normality assumption
- Checking the homogeneity of variance assumption for the two sample t-test in R
- Two sample t-Test in R – calculation and interpretation
- Effect size for the two sample t-test in R
- Reporting two sample t-test – results from R
SPSS
- Independent samples t-Test – calculate required sample size with SPSS
- Independent samples t-test in SPSS – checking normality assumption
- Independent samples t-Test in SPSS – calculation and interpretation
- Reporting independent samples t-test – results from SPSS
Mann-Whitney-Wilcoxon-Test/Mann-Whitney-U-Test
Sample Size calculation
R Statistics
- Mann-Whitney-Wilcoxon-test in R – calculation and interpretation
- Effect size of the Mann-Whitney-Wilcoxon-test in R
- Reporting Mann-Whitney-Wilcoxon-test – results from R
SPSS
- Mann-Whitney-Wilcoxon-test in SPSS – calculation and interpretation
- Effect size of the Mann-Whitney-Wilcoxon-test in SPSS
- Reporting Mann-Whitney-Wilcoxon-test – results from SPSS
Three or more sample tests (independent samples)
One-way ANOVA
Sample Size calculation
- One-Way ANOVA – calculate required sample size with G*Power
- One-Way ANOVA – calculate required sample size with SPSS
R Statistics
- One-way ANOVA in R – checking normality assumption
- One-way ANOVA in R – checking homogeneity of variance assumption
- One-Way ANOVA in R – calculation and interpretation
- Post hoc tests for the One-Way ANOVA in R
- Effect size for post-hoc-tests of the One-Way ANOVA in R
- Effect size Eta-squared for the One-Way ANOVA in R
- Welch-ANOVA in R – calculation and interpretation
- Reporting One-Way ANOVA – results from R
SPSS
- One-way ANOVA in SPSS – checking normality assumption
- One-Way ANOVA + Welch-ANOVA in SPSS – calculation and interpretation
- Post hoc tests for the One-Way ANOVA in SPSS
- Effect size for post-hoc-tests of the One-Way ANOVA in SPSS
- Effect size Eta-squared for the One-Way ANOVA in SPSS
- Reporting One-Way ANOVA – results from SPSS
Two-way ANOVA
Sample Size calculation
- One-Way ANOVA – calculate required sample size with G*Power
- One-Way ANOVA – calculate required sample size with R
R Statistics
UPCOMING
SPSS
UPCOMING
Kruskal-Wallis-Test
Sample Size calculation
R Statistics
- Kruskal-Wallis-Test in R – calculation and interpretation
- Post hoc tests for the Kruskal Wallis-test in R
- Effect size for post-hoc-tests of the Kruskal-Wallis-test in R
- Effect size Eta-squared of the Kruskal-Wallis-test in R
- Reporting Kruskal-Wallis-test – results from R
SPSS
Paired tests for two measurements (dependent samples)
Paired samples t-Test (Dependent t-Test)
Sample Size Calculation
- Paired t-Test – calculate required sample size with G*Power
- Paired t-Test – calculate required sample size with SPSS
R Statistics
- Paired t-Test in R – checking normality assumption
- Paired t-Test in R – calculation and interpretation
- Effect size for the Paired t-Test in R
- Reporting Paired t-Test – results from R
SPSS
- Paired samples t-Test – calculate required sample size with SPSS
- Paired samples t-Test in SPSS – checking normality assumption
- Paired samples t-Test in SPSS – calculation and interpretation
- Reporting Paired samples t-Test – results from SPSS
Wilcoxon-Test (Wilcoxon signed-rank test)
Sample Size Calculation
R Statistics
- Paired Samples Wilcoxon-test in R – calculation and interpretation
- Effect size of the Paired Samples Wilcoxon-test in R
- Reporting Paired Samples Wilcoxon-test – results from R
SPSS
- Paired Samples Wilcoxon-test in SPSS – calculation and interpretation
- Effect size of the Paired Samples Wilcoxon-test in SPSS
- Reporting Paired Samples Wilcoxon-test – results from SPSS
Paired tests for at least three measurements (dependent samples)
Repeated Measures ANOVA
Sample Size calculation
R Statistics
- Repeated Measures ANOVA in R – checking normality assumption
- Repeated Measures ANOVA in R – calculation and interpretation
- Post hoc tests for the Repeated Measures ANOVA in R
- Effect size for post-hoc-tests of the Repeated Measures ANOVA in R
- Effect size Eta-squared for the Repeated Measures ANOVA in R
- Reporting Repeated Measures ANOVA – results from R
SPSS
- Repeated Measures ANOVA in SPSS – checking normality assumption
- Repeated Measures ANOVA in SPSS – calculation and interpretation
- Post hoc tests for the Repeated Measures ANOVA in SPSS
- Effect size for post-hoc-tests of the Repeated Measures ANOVA in SPSS
- Effect size Eta-squared for the Repeated Measures ANOVA in SPSS
- Reporting Repeated Measures ANOVA – results from SPSS
Friedman Test/ANOVA
Sample Size calculation
R Statistics
- Friedman ANOVA in R – calculation and interpretation
- Post hoc tests for the Friedman ANOVA in R
- Effect size for post-hoc-tests of the Friedman ANOVA in R
- Effect size Kendall’s W for the Friedman ANOVA in R
- Reporting Friedman ANOVA – results from R
SPSS
Mixed approach (between-subjects factor and within-subjects factor)
Mixed ANOVA
Sample Size Calculation
R Statistics
- Mixed ANOVA in R – calculation and interpretation
- Mixed ANOVA in R – checking normality assumption
- Mixed ANOVA in R – Homogeneity of Covariance Matrices
- Mixed ANOVA in R – Homogeneity of Variances
- Follow-up for a significant interaction in a mixed ANOVA in R
- Follow-up for a non-significant interaction in a mixed ANOVA in R
- Effect size Eta-squared for the mixed ANOVA in R
- Reporting Mixed ANOVA – results from R
SPSS
- Mixed ANOVA in SPSS – checking normality assumption
- Mixed ANOVA in SPSS – Homogeneity of Covariance Matrices
- Mixed ANOVA in SPSS – Homogeneity of Variances
- Mixed ANOVA in SPSS – calculation and interpretation
- Interaction in a mixed ANOVA in SPSS – follow-up
- Effect size Eta-squared for the mixed ANOVA in SPSS
- Effect size for pairwise comparisons for an interaction in a mixed ANOVA in SPSS
- Reporting mixed ANOVA – results from SPSS
Associations/Correlations
Correlations for variables on ordinal, interval or ratio level
Sample Size calculation
- Pearson Correlation – calculate required sample size with G*Power
- Pearson Correlation – calculate required sample size with SPSS
- Spearman Correlation – calculate required sample size with SPSS
R Statistics
- Pearson correlation in R
- Spearman Rank Correlation in R
- Kendall’s Tau Rank correlation in R
- Partial correlation in R with one control variable
- Partial correlation in R with multiple control variables
- Semipartial Correlation in R
- Point-biserial correlation in R
- Rank-biserial correlation in R
SPSS
- Pearson correlation in SPSS
- Spearman Rank Correlation in SPSS
- Kendall’s Tau b Rank correlation in SPSS
- Kendall’s Tau c Rank correlation in SPSS
- Partial correlation in SPSS
- Point-biserial correlation in SPSS
Association for variables on ordinal or categorial level – Chi-Square-Test of Independence
Sample Size Calculation
R Statistics
- Chi Square test of Independence in R – calculation and interpretation
- How to calculate the effect size for Chi-Square test of Independence in R
- Post-hoc tests for Chi Square test of Independence in R
- Reporting Chi Square test of Independence – results from R
SPSS
- Chi Square test of Independence in SPSS – calculation and interpretation
- Effect size for Chi Square test of Independce in SPSS
- Post-hoc tests for Chi Square test of Independence in SPSS
Linear Regression
Sample Size Calculation
- Sample size for the multiple linear Regression with SPSS
- Sample size for the multiple linear Regression with G*Power
R Statistics
- Upcoming
SPSS
- Scatter plot for a simple linear regression in SPSS
- Checking normality assumption< for linear regression in SPSS/a>
- Cook’s Distance to identify outliers in linear regression in SPSS
- How to check Homoscedasticity in Linear Regression in SPSS
- 3 ways to test for multicollinearity in SPSS
- How to calculate robust standard errors in SPSS for linear regression
- Interpreting dummy variables in a linear regression in SPSS
- Simple linear regression in SPSS – calculation and interpretation
- Multiple linear regression in SPSS – calculation and interpretation
Plots
Boxplots
R Statistics
- Simple boxplots with base R
- Simple boxplots with ggplot2
- Simple boxplots with ggpubr
- Boxplots for repeated measures in R (ggpubr)
- Boxplots for groups in R (ggpubr)
- Boxplots for repeated measures and groups in R (ggpubr) (within+between effects)
- Boxplots with data points in R
- Groupwise boxplots with data points in R
SPSS
- Simple Boxplots in SPSS
- Boxplots for groups in SPSS
- Boxplots for repeated measures in SPSS
- Boxplots for repeated measures and groups in SPSS (within+between effects)
- Boxplots with data points in SPSS
- Boxplots with coloured data points in SPSS
