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38:31

Applying a Noncompensatory Approach to Selection Decisions Using the Angoff Method in R

39:26

Noncompensatory Approach to Selection Decisions & Angoff Method

9:58

Introduction to Cross-Validation

21:27

Compensatory Approach to Selection Decisions & Multiple Linear Regression

11:38

Predicting Criterion Scores & Simple Linear Regression

11:18

Mixed-Factorial ANOVA

In this conceptual video, I introduce the mixed-factorial analysis of variance (ANOVA), which is part of the ANOVA family analyses aimed at comparing means. A mixed-factorial ANOVA has at least one within-subjects predictor variable and at least one between-subjects predictor variable.
In the context of employee training evaluation, a mixed-factorial can be appropriate for evaluating a pre-test/post-test with control group design.
For an R tutorial where I demonstrate a statistically equivalent (but simpler) approach to analyzing data from a 2x2 mixed-factorial balanced design, please check out this video: ua-cam.com/video/7xaDlTeNvYk/v-deo.htmlsi=Ly5yOJF4y5T_j_Vi
For a conceptual introduction to one-way ANOVA, please check out this video: ua-cam.com/video/kwwU9N8WCfQ/v-deo.htmlsi=RVRwW-WuM0jCC6OE
For an R tutorial on one-way ANOVA, please check out this video: ua-cam.com/video/e6oVV1ynfWo/v-deo.htmlsi=U602vdjJCBCW3WUL
For a conceptual introduction to independent-samples t-test, please check out this video: ua-cam.com/video/9uLd4nzGyGQ/v-deo.htmlsi=WwDNTg4AR28bVfOY
For an R tutorial on independent-samples t-test, please check out this video: ua-cam.com/video/oATcHuMZtuo/v-deo.htmlsi=aTNEDZXbH-smZ6hE
For a conceptual introduction to paired-samples t-test, please check out this video: ua-cam.com/video/o_F3Y0A2q3Q/v-deo.htmlsi=lcfR-2zvE8EbBnrf
For an R tutorial on paired-samples t-test, please check out this video: ua-cam.com/video/ZMc9IBFdGsw/v-deo.htmlsi=U9v995W9C0-hJpdF

Відео

38:31

Confirmatory Factor Analysis

Переглядів 2,9 тис.3 місяці тому

In this video, I provide an overview of confirmatory factor analysis (CFA), which is part of the structural equation modeling (SEM) family of analyses. CFA is useful for specifying a measurement model and for evaluating the measurement structure of, for example, a multi-item measure. I introduce the concepts of path diagrams, model identification, model fit indices and cutoffs, parameter estima...

Applying a Noncompensatory Approach to Selection Decisions Using the Angoff Method in R

39:26

Applying a Noncompensatory Approach to Selection Decisions Using the Angoff Method in R

Переглядів 1085 місяців тому

In this tutorial, we learn how to use the Angoff Method (Angoff, 1971) to apply a noncompensatory approach to informing selection decisions. When a noncompensatory approach is applied, applicants cannot compensate for lower scores on one selection tool (e.g., procedure, assessment, test) with higher scores on other selection tools. When a selection tool has a multiple-choice format with correct...

Noncompensatory Approach to Selection Decisions & Angoff Method

9:58

Noncompensatory Approach to Selection Decisions & Angoff Method

Переглядів 2835 місяців тому

In this video, we learn how the Angoff Method can be used to apply a noncompensatory approach to informing selection decisions. When a noncompensatory approach is applied, applicants cannot compensate for lower scores on one selection tool (e.g., procedure, assessment, test) with higher scores on other selection tools. When a selection tool has a multiple-choice format with correct and incorrec...

21:27

Introduction to Cross-Validation

Переглядів 2245 місяців тому

In this video, we learn about fundamental concepts and methods related to cross-validation, where cross-validation can be used to evaluate a model's performance. Further, we distinguish between statistical cross-validation methods (e.g., adjusted R-squared, squared cross-validity, cross validity) and empirical cross-validation methods (e.g., holdout method, k-fold cross-validation, leave-one-ou...

Compensatory Approach to Selection Decisions & Multiple Linear Regression

11:38

Compensatory Approach to Selection Decisions & Multiple Linear Regression

Переглядів 2045 місяців тому

In this video, I explain how regression coefficient estimates from a multiple linear regression model can be used to predict criterion scores. This video is meant to provide a foundation for understanding how, in an employee selection context, organizations can (a) estimate a multiple linear regression model based on data from a validation study sample for 2 selection tools (e.g., personality t...

Predicting Criterion Scores & Simple Linear Regression

11:18

Predicting Criterion Scores & Simple Linear Regression

Переглядів 2145 місяців тому

In this video, I explain how regression coefficient estimates from a simple linear regression model can be used to predict criterion scores. This video is meant to provide a foundation for understanding how, in an employee selection context, organizations can (a) estimate a linear regression model based on data from a validation study sample for a selection tool (e.g., personality test) and a c...

11:20

Workforce Planning & Forecasting

Переглядів 9 тис.2 роки тому

Workforce planning and forecasting help us understand how people move into, through, and out of our organization, and allow us to plan for future talent supply and demand.

15:43

Legal & Ethical Issues | HR Analytics

Переглядів 1,1 тис.2 роки тому

When working with an organization's HR or people data, we should pause regularly to ask ourselves: "Just because we can, should we?" In this video, we will consider the importance of identifying legal and ethical issues in HR analytics.

8:57

Primer on Data | HR Analytics

Переглядів 2732 роки тому

In this video, we review what data are and how to distinguish between quantitative and qualitative data.

Judgment, Decision Making, & Bias | HR Analytics

13:28

Judgment, Decision Making, & Bias | HR Analytics

Переглядів 5052 роки тому

Acquiring, managing, analyzing, and interpreting HR data are inherently subjective processes. Accordingly, it is important to understand and recognize how human judgment, decision making, and bias may affect these processes.

7:47

Language Considerations | HR Analytics

Переглядів 1782 роки тому

When interpreting HR analytics findings, particularly statistical findings, it is important to consider the type of language we use and to balance confidence with uncertainty.

8:30

Introduction to R

Переглядів 1,3 тис.2 роки тому

R is an open-source and freely available statistical programming language and environment that can be used for data management, analysis, and visualization. In this video, we will learn the basics about R and RStudio, where the latter is an integrated development environment (IDE) for R. For more information, check out: rforhr.com/overviewR.html

11:07

Internal Consistency Reliability

Переглядів 10 тис.2 роки тому

When we work with multi-item measures multi-item measures, we often estimate internal consistency reliability can be defined as “a reliability estimate based on intercorrelation (i.e., homogeneity) among items on a test, with [Cronbach’s] alpha being a prime example” (Schultz and Whitney 2005). In other words, internal consistency reliability tells us how consistent scores on different items (e...

14:57

One-Way ANOVA

Переглядів 4362 роки тому

Analysis of variance (ANOVA) is part of a family of analyses aimed at comparing means, which includes one-way ANOVA, repeated-measures ANOVA, factorial ANOVA, and mixed-factorial ANOVA. In general, an ANOVA is used to compare three or more means; however, it can be used to compare two means on a single factor - but you might as well just use an independent-samples t-test if this is the case. Th...