Learn R + Statistics
300 videos • 35,106 views • by Statistics of DOOM
Learn how to use R and calculate statistical tests. Missouri State University Dr. Erin M. Buchanan
1
Learn R Multilevel Models Lecture
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2
R - Mixed ANOVA Lecture 1
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3
R - Multilevel Model Example
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R - Correlation Lecture 2
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R - Correlation Lecture 1
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R - Regression Lecture 1
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R - Regression Lecture 2
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R - Exploratory Factor Analysis Lecture 1
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9
R - Exploratory Factor Analysis Lecture 2
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10
R - Using R Assignment Worked
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R - Basic Statistics Lecture 1
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R - Chapter 2: Frequency Distributions Lecture
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[Private video]
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14
R - Chapter 3: Graphs - Lecture Part 1
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R - Basic Statistics Lecture 2
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R - Chapter 3: Graphs - Lecture Part 2
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R - Chapter 4: Descriptive Statistics - Lecture Part 1
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R - Data Screening Theory Lecture
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R - Exam 1 Review
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R - Chapter 4: Descriptive Statistics - Lecture Part 2
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R - Data Screening Example
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R - Chapter 6: Z Scores - Lecture Part 1
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R - ANOVA Theory Lecture
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R - Effect Size Scripts!
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R - Chapter 6: Z Scores - Lecture Part 2
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R - One Way Between Subjects ANOVA Example
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R - Chapter 7: Z Tests - Lecture Part 1
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R - Chapter 7: Z Tests - Lecture Part 2
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R - One Way Repeated Measures ANOVA Example
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R - Chapter 8: Confidence Intervals, Effect Size, & Power - Lecture Part 1
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R - Two Way Repeated Measures ANOVA Example
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R - Chapter 8: Confidence Intervals, Effect Size, & Power - Lecture Part 2
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R - Two Way Between Subjects ANOVA Example
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R - Two Way Between Subjects ANCOVA Example
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R - Two Way Mixed ANOVA Example
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R - Two-Way Between Subjects MANOVA Example
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37
R - Regression Lecture Theory
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38
R - Dummy Coding in Regression Example
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39
R - Simultaneous Multiple Linear Regression Example
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R - Hierarchical Multiple Linear Regression Example
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R - Mediation Analyses Example
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R - Chapter 9: Single Sample t-test - Lecture Part 1
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R - Chapter 11: Independent t-test Example
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R - Chapter 10: Dependent t-test - Lecture Part 2
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R - Chapter 10: Dependent t-test - Lecture Part 1
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R - Chapter 9: Single Sample t-test - Lecture Part 2
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R - Chapter 11: Independent t-test - Lecture Part 1
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R - Chapter 11: Independent t-test - Lecture Part 2
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R - Chapter 12: ANOVA - Lecture Part 1
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R - Chapter 12: ANOVA - Lecture Part 2
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R - Chapter 12: ANOVA - Lecture Part 3
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R - Moderation Analyses Example
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R - Chapter 12: ANOVA Example
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R - Exam 3 Review
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R - Multinomial Log Regression Example
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R - Chapter 15: Correlation - Lecture Part 2
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R - Chapter 15: Correlation - Lecture Part 1
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R - Binary Logistic Regression Lecture & Example
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R - Chapter 16: Regression - Lecture Part 2
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R - Chapter 16: Regression - Lecture Part 1
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R - Exploratory Factor Analysis Lecture & Example
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R - Exam 4 Review
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R - Multigroup CFA Example
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R - Item Response Theory Example
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R - Latent Growth (Curve) Example
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R - Multi-Trait Multi-Method (MTMM) Example
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R - Hierarchical Models Examples
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R - Full Structural Equation Model Example
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R - Latent Growth Models Lecture
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R - SEM - Data Screening Class Assignment
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R - SEM - Multigroup CFA Class Assignment 1
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R - SEM - Polytomous Item Response Theory Class Assignment
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R - SEM - Multigroup CFA Class Assignment 2
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R - Item Response Theory Analysis Lecture
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R - Multigroup Confirmatory Factor Analysis Lecture
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R - Multitrait Multimethod (MTMM) Lecture
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R - Hierarchical Confirmatory Factor Analysis Lecture
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R - Full Structural Equation Models Lecture
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R - Fit Indices Lecture
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R - Fit Indices and Path Analysis Example
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R - Structural Equation Model Basics Lecture 1
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R - Structural Equation Model Basics Lecture 2
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R - Path Analysis Example
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R - Path Analysis Lecture
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R - Estimation Lecture
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R - Confirmatory Factor Analysis Lecture
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R - Confirmatory Factor Analysis Examples
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R - SEM - Intro R Class Assignment
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R - Graphs - Ggplot2 Overview Lecture and Examples
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R - Dependent t-test Lecture + How-To
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R - Independent t-test Lecture + How-To
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R - t-Test Examples
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R - Two Way ANOVA Lecture 1
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R - Two Way ANOVA Lecture 2
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R - Repeated Measures ANOVA Lecture 2
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R - Repeated Measures ANOVA Lecture 1
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[Private video]
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R - Mixed ANOVA Lecture + Example
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R - Moderation Analyses (Manual) Example
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100
R - t-tests and Correlation Examples
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101
R - Basic Statistics Example
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R - RStudio Updates
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R - Basic Statistics Example
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R - RStudio Updates
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R - Chapter 6: Z - Scores - Example
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R - Multilevel Models Lecture (Updated)
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R - Chapter 9: Single Sample t-test Example
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R - Chapter 10: Dependent t-test Example
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R - Chapter 16 Regression Example
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108
R - Chapter 15 Correlation Example
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[Private video]
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[Private video]
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111
[Private video]
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[Private video]
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113
[Private video]
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114
[Private video]
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[Private video]
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[Private video]
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[Private video]
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118
[Private video]
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119
Introduction to R Class Assignment
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120
R - SEM - EFA Class Assignment
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R - Basic Concepts in SEM Class Assignment
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R - SEM - Path Analysis Class Assignment 1
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R - SEM - Path Analysis Class Assignment 2
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R - SEM - Hierarchical Confirmatory Factor Analysis Class Assignment
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R - SEM - Confirmatory Factor Analysis Class Assignment
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R - Full Structural Equation Model Class Assignment
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R -MTMM Class Assignment
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128
R - SEM - Item Response Theory Class Assignment
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R - SEM - Latent (Growth) Curve Modeling Class Assignment
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130
Multigroup Confirmatory Factor Analysis in R - Class Assignment 1
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131
Multigroup Confirmatory Factor Analysis in R - Class Assignment 2
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132
R - R, RStudio, and Commands Lecture
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133
R - Object Types Lecture
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134
R - Functions Lecture
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135
R - Missing Values, Packages, and Working Directories Lecture
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136
R - Subsetting Lecture
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137
R - Learn R Basics
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138
R - Graphs - File, Factor, and Reshape Functions
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139
R - Graphs - Ggplot2 Intro + Histogram
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R - Graphs - Scatter Plots in Ggplot2
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R - Graphs - Boxplots using Ggplot2
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R - Graphs - Bar Charts with Error Bars in Ggplot2
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R - Graphs - Line Graphs with Error Bars in Ggplot2
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R - Data Screening 1 Accuracy Checks
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R - Data Screening 4 Assumptions
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R - Data Screening 2 Missing Data
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R - Data Screening 3 Outliers
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148
R - Independent and Dependent t-test Example 1
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R - Independent and Dependent t Lecture 1
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R - Independent and Dependent t Lecture 2
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151
R - Between Subjects One-way ANOVA Example 1
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R - Between Subjects One-way ANOVA Lecture 1
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R - Between-Subjects One-way ANOVA Lecture 2
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R - Two-Way Between Subjects ANOVA Lecture 1
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R - Two Way Between Subjects ANOVA Lecture 2
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R - One Way Repeated Measures ANOVA Lecture 1
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R - Two Way Repeated Measures ANOVA Lecture 3
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R - One Way Repeated Measures ANOVA Lecture 2
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R - ANOVA SS Types or How to Make it Match SPSS
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R - Chapter 1: Terms in Statistics Lecture
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161
[Private video]
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162
R - Chapter 5: Sampling and Probability - Lecture Part 2
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R - Chapter 5: Sampling and Probability - Lecture Part 1
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164
[Private video]
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165
R - Permutation Tests
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166
R - Mediation with Bootstrapping
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167
Statstools.com - Update!
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168
R - Moderated Mediation with Bootstrapping
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169
R - Markdown Simple Tables
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170
R - EFA Class Assignment with Markdown
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R - MOTE Package Avaliable on GitHub
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R - Markdown with Papaja
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R - Markdown with Papaja 2
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R - Markdown with Papaja 3
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R - Simultaneous and Hierarchical Regression
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R - Mediation with Bootstrapping Lecture + Example
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R - Moderation Lecture + Example
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R - One-Way Repeated Measures ANOVA Example
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R - Two-Way Repeated Measures ANOVA Example
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R - Two-Way Between Subjects ANCOVA Example
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R - Two-Way Between Subjects MANOVA
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Regression Lecture
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R - Simultaneous Multiple Regression
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R - Hierarchical Multiple Regression
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R - Moderation Analyses using QuantPsyc
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R - Mediation Analyses with the multilevel package
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R - Multinomial Logisitic Regression Example
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R - Exploratory Factor Analysis Example
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R - Dummy Coding in Regression
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R - Screen Low Quality Data
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Screen Low Quality Data in Browser (Shiny R)
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MOTE - Dependent t (Shiny App)
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MOTE - Independent t (Shiny App)
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MOTE - Z Tests (Shiny App)
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MOTE - Chi-Square (Shiny App)
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MOTE - d to r/R2 (Shiny App)
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MOTE - Eta/Omega from F values (Shiny App)
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MOTE - Eta/Omega/Epsilon from SS (Shiny App)
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MOTE - Partial GES/Omega (Shiny App)
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MOTE - Partial Omega (Shiny App)
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MOTE - Partial Eta (Shiny App)
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MOTE - Single t (Shiny App)
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MOTE - Independent Proportions (Shiny App)
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SPSS - Mediation with PROCESSv3 MPA Talk
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SPSS - Moderation with PROCESSv3 MPA Talk
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R - Mediation with Covariates MeMoBootR
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R - Mediation with Categorical X MeMoBootR
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R - Moderation and Simple Slopes MeMoBootR
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R - Moderation with Categorical M MeMoBootR
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R - Serial Two Part Mediation with Covariates MeMoBootR
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R - Double Moderation with Covariates MeMoBootR
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R - Grammar Analysis with Logistic Regression
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