Open Access. Powered by Scholars. Published by Universities.®

Social and Behavioral Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 4 of 4

Full-Text Articles in Social and Behavioral Sciences

A Monte Carlo Analysis Of Seven Dichotomous Variable Confidence Interval Equations, Morgan Juanita Dubose Apr 2022

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 Apr 2020

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 …


Collections & Connections, Jennifer Wilson Jan 2013

Collections & Connections, Jennifer Wilson

Collections & Connections

This is the Fall 2013-Winter 2014 issue of the biannual newsletter of the Western Kentucky University Libraries. It headlines WKU Manuscript/Folklife Archives Coordinator Jonathan Jeffrey's collection of the remembrances of JFK's visit to Bowling Green in 1960 and an excerpt from Ann Denes Wagner's recollection of her father Nick Denes, head coach at Western Kentucky State during the 1960s. Other major events featured in this issue include the Libraries' co-sponsorship of the International Film Series, its participation in the university's homecoming activities, its continued effort in offering the Far Away Places speaker series and the SOKY Reads program, and the …


Empirical Methods-A Review: With An Introduction To Data Mining And Machine Learning, Matt Bogard May 2011

Empirical Methods-A Review: With An Introduction To Data Mining And Machine Learning, Matt Bogard

Economics Faculty Publications

This presentation was part of a staff workshop focused on empirical methods and applied research. This includes a basic overview of regression with matrix algebra, maximum likelihood, inference, and model assumptions. Distinctions are made between paradigms related to classical statistical methods and algorithmic approaches. The presentation concludes with a brief discussion of generalization error, data partitioning, decision trees, and neural networks.