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Full-Text Articles in Social and Behavioral Sciences
Recentering Psych Stats, Lynette Bikos
Recentering Psych Stats, Lynette Bikos
Faculty Open Access Books
To center a variable in regression means to set its value at zero and interpret all other values in relation to this reference point. Regarding race and gender, researchers often center male and White at zero. Further, it is typical that research vignettes in statistics textbooks are similarly seated in a White, Western (frequently U.S.), heteronormative, framework. ReCentering Psych Stats seeks to provide statistics training for psychology students (undergraduate, graduate, and post-doctoral) in a socially and culturally responsive way. All lessons use the open-source statistics program, R (and its associated packages). Each chapter includes a screencast lesson, features a workflow …
Establishing Roots Before Branching Out: Parameter Recovery In Item Response Tree Models, Tyler Ryan
Establishing Roots Before Branching Out: Parameter Recovery In Item Response Tree Models, Tyler Ryan
Browse all Theses and Dissertations
Item Response Trees are a type of item response model that incorporates information about conditional responding to items using a rooted tree graph structure. Researchers have used item response trees for common measurement tasks and for testing novel hypotheses. Previous simulation studies investigating item response trees either lack generalizability to the broad domain of their use or lack thorough investigation and reporting of the results. I conducted a simulation study to explore how sample size, test length, item characteristics, and tree structure affect both item and person parameter recovery for 1PL and 2PL models. The results suggested that, as with …
A Monte Carlo Analysis Of Seven Dichotomous Variable Confidence Interval Equations, Morgan Juanita Dubose
A Monte Carlo Analysis Of Seven Dichotomous Variable Confidence Interval Equations, Morgan Juanita Dubose
Masters Theses & Specialist Projects
Department of Psychological Sciences Western Kentucky University There are two options to estimate a range of likely values for the population mean of a continuous variable: one for when the population standard deviation is known and another for when the population standard deviation is unknown. There are seven proposed equations to calculate the confidence interval for the population mean of a dichotomous variable: normal approximation interval, Wilson interval, Jeffreys interval, Clopper-Pearson, Agresti-Coull, arcsine transformation, and logit transformation. In this study, I compared the percent effectiveness of each equation using a Monte Carlo analysis and the interval range over a range …
A Monte Carlo Analysis Of Thorndike's Indirect Range Restriction Correction Equations, Michael Thomas Pelayo
A Monte Carlo Analysis Of Thorndike's Indirect Range Restriction Correction Equations, Michael Thomas Pelayo
Masters Theses & Specialist Projects
Employee selection is an important process for organizations. Organizations seek to select the best employees for their available positions. Testing is key to many selection efforts. The results of studies assessing the criterion-related validity of a selection test are affected by a number of statistical artifacts, one of which is range restriction. Range restriction has the effect of attenuating the correlation coefficient. Statistical equations exist to correct for the effects of range restriction, and they enable researchers to obtain a more accurate estimate of the validity coefficient. Thorndike (1949) developed the best known and most frequently used of these correction …
The Effects Of Multicollinearity In Multilevel Models, Patrick Carl Clark Jr.
The Effects Of Multicollinearity In Multilevel Models, Patrick Carl Clark Jr.
Browse all Theses and Dissertations
This study examined a method for calculating the impact of multicollinearity on multilevel modeling. The major research questions concerned a) how the simulation design factors affect (multilevel variance inflation factor) MVIF, b) how MVIF affects standard errors of regression coefficients, and c) how MVIF affects significance of regression coefficients. Monte Carlo simulations were conducted to address these questions. Predictor relationships were manipulated in order to simulate multicollinearity. Findings indicate that a) increases in relationships among Level 1 predictors and also relationships among Level 2 predictors led to increased MVIF for those specific variables, b) as MVIF increases for a predictor, …
Introduction To Data Science, Jeffrey M. Stanton
Introduction To Data Science, Jeffrey M. Stanton
School of Information Studies - Faculty Scholarship
In this Introduction to Data Science eBook, a series of data problems of increasing complexity is used to illustrate the skills and capabilities needed by data scientists. The open source data analysis program known as "R" and its graphical user interface companion "R-Studio" are used to work with real data examples to illustrate both the challenges of data science and some of the techniques used to address those challenges. To the greatest extent possible, real datasets reflecting important contemporary issues are used as the basis of the discussions.
The Creation And Validation Of A Pilot Selection System For A Midwestern University Aviation Department, Jacob William Forsman
The Creation And Validation Of A Pilot Selection System For A Midwestern University Aviation Department, Jacob William Forsman
All Graduate Theses, Dissertations, and Other Capstone Projects
The current study outlines an attempt to create a selection test for a Midwestern university aviation department pilot training program. Thirty-seven pilots were given a pre-test consisting of cognitive (math, arithmetic reasoning, spatial measures, table reading, and mechanical knowledge), attitudinal (cockpit management attitudes questionnaire- CMAQ), and personality questions (IPIP items, Achievement-Striving, Impatience/Irritability, and the Academic Motivation Scale). An additional measure of professionalism was collected during the training program. Following the completion of a 25-lesson course in flight training, pilots were assessed on performance throughout the initial flight course. The performance ratings ranged from supervisory ratings to hours used to complete …