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David Caughlin @UCYKBDZyqcB3a2ZAbL1vV37w@youtube.com

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This channel includes lecture and tutorial videos I have cre


23:44
Mixed-Factorial ANOVA
38:31
Confirmatory Factor Analysis
39:26
Applying a Noncompensatory Approach to Selection Decisions Using the Angoff Method in R
09:58
Noncompensatory Approach to Selection Decisions & Angoff Method
21:27
Introduction to Cross-Validation
11:38
Compensatory Approach to Selection Decisions & Multiple Linear Regression
11:18
Predicting Criterion Scores & Simple Linear Regression
11:20
Workforce Planning & Forecasting
15:43
Legal & Ethical Issues | HR Analytics
08:57
Primer on Data | HR Analytics
13:28
Judgment, Decision Making, & Bias | HR Analytics
07:47
Language Considerations | HR Analytics
08:30
Introduction to R
11:07
Internal Consistency Reliability
14:57
One-Way ANOVA
30:23
Logistic Regression
15:04
Data Cleaning
24:08
Correlation
22:16
Descriptive Statistics
20:29
Moderated Multiple Linear Regression
19:49
Multiple Linear Regression
17:23
Simple Linear Regression
29:10
Data Visualization | Human Cognition & Decision Making
13:19
Descriptive, Predictive, & Prescriptive Analytics
13:38
Paired-Samples t-test
13:32
Chi-Square Test of Independence
26:55
Power Analysis
12:05
Missing Data
15:30
Independent-Samples t-test
23:03
Statistical & Practical Significance
05:50
Deployment & Implementation | HR Analytics Project Life Cycle
08:04
Data Interpretation & Storytelling | HR Analytics Project Life Cycle
08:43
Data Analysis | HR Analytics Project Life Cycle
14:59
Data Management | HR Analytics Project Life Cycle
15:15
Data Acquisition | HR Analytics Project Life Cycle
09:29
Overview | HR Analytics Project Life Cycle
10:44
Question Formulation | HR Analytics Project Life Cycle
01:01:24
Influence & Persuasion | Inspiring Change
36:16
Evaluating Selection Tools
10:25
Introduction to Selection
44:07
Applying a Compensatory Approach to Selection Decisions Using Multiple Linear Regression in R
49:42
Evaluating Incremental Validities of Selection Tools Using Multiple Linear Regression in R
56:55
Predicting Criterion Scores Using Simple Linear Regression in R
37:11
Estimating Criterion-Related Validity Using a Correlation in R
39:26
Paired-Samples t-test in R | Using the ttest Function from lessR
37:57
Independent-Samples t-test in R | Using the ttest Function from lessR
15:26
Removing & Adding Variable Names in R
11:52
Orientation to RStudio
23:19
Creating a Composite Variable in R | Using the rowMeans Function
33:31
Estimating Internal Consistency Reliability (Using Cronbach's alpha) in R | Using the alpha Function
37:16
Overview of HRIS & HR Analytics
32:30
Computing Turnover Rates in R | Using the sum & mean Functions
18:39
Cross Tabulation in R | Using the xtabs Function
37:31
Measures of Central Tendency & Dispersion in R | Summarizing & Visualizing Distributions
26:34
Counts & Frequencies in R | Using the table & barplot Functions
10:00
Writing Data Frames from R | Using the write.csv Function
16:27
Selecting & Removing Variables from a Data Frame in R | Using the subset Function
37:36
Subsetting Cases From a Data Frame in R | Using the subset Function
22:52
Merging Data Horizontally in R | Using the merge Function
19:44
Reading Data into R | Using the read.csv Function