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Industrial and Organizational Psychology

Masters Theses & Specialist Projects

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Full-Text Articles in Psychology

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 …