This study investigated the relationship between teacher salary, setting, and job satisfaction in northern New Jersey middle schools. Quantitative data were collected using Paul Spector's Job Satisfaction Survey. A cover page collected demographic data and asked participants three open-ended questions. This study sought to answer three questions:…

The main objective of the current study is to examine the relationships between self-handicapping, and irrational beliefs about approval, irrational beliefs about interpersonal relationships, irrational beliefs about self and the overall level of irrational beliefs by reference to the " ABC " framework. Participants of the study were 263…

The purpose of this quantitative study was to identify the perceived self-leadership capacity and behaviors of K-5 principals in the state of Illinois and to establish whether or not there was a correlation between principal self-leadership and student achievement. In order to achieve this overall objective, the following research questions framed…

Community colleges offer online admissions applications as a way for students to apply conveniently for admission, yet the experience associated with the use of these applications has not been fully explored. Hence, the purpose of this parametric quantitative study was to examine the usability of community college online admissions applications by…

This privacy versus security doctoral research examines existing literature, policies, and perceptions to identify the effects of the 2015 San Bernardino terrorist attack on the San Bernardino community. This study contributes to identifying factors that influence perceptions of governmental surveillance. Multiple articles contribute to the…

The purpose of this quantitative, correlational study was to understand the relationship between a balanced scorecard, professors' job characteristics, and the leadership styles of higher education leaders at Ekiti State University, Ado-Ekiti State, Nigeria, which was the site of the study. The problem statement addressed whether or not a…

In the current adult education environment, self-directed learning (SDL) is becoming a necessary learning characteristic and an academic process of learning to allow adult learners to complete programs and further enhance lifelong learning. The purpose of this quantitative study was to examine the relationship between self-efficacy and SDL in…

Principal component analysis is an important statistical technique for dimension reduction and exploratory data analysis. However, it is not robust to outliers and may obfuscate important data structure such as clustering. We propose a version of principal component analysis based on the robust L2E method. The technique seeks to find the principal…

The use of confidence intervals (CIs) for making a statistical inference is gaining popularity in research communities. To evaluate college statistics instructors' readiness to teach CIs, this study explores their attitudes toward teaching CIs in elementary statistics courses, and toward using CIs in inferential statistics. Data were collected…

Successful testing programs rely on high-quality test items to produce reliable scores and defensible exams. However, determining what statistical screening criteria are most appropriate to support these goals can be daunting. This study describes and demonstrates cost-benefit analysis as an empirical approach to determining appropriate screening…

This article describes a collaborative project across three institutions to develop, implement, and evaluate a series of tutorials and case studies that highlight fundamental tools of data science--such as visualization, data manipulation, and database usage--that instructors at a wide-range of institutions can incorporate into existing statistics…

Statistical methods are indispensable to the practice of science. But statistical hypothesis testing can seem daunting, with P-values, null hypotheses, and the concept of statistical significance. This article explains the concepts associated with statistical hypothesis testing using the story of "the lady tasting tea," then walks the…

A latent variable modeling procedure that can be used to evaluate intraclass correlation coefficients in two-level settings with discrete response variables is discussed. The approach is readily applied when the purpose is to furnish confidence intervals at prespecified confidence levels for these coefficients in setups with binary or ordinal…

The heterogeneous choice model (HCM) has been proposed as an extension of the standard logit and probit models, which allows taking into account different error variances of explanatory variables. In this note, I show that in an important special case, this model is just another way to specify an interaction effect.

Making inferences about population differences based on samples of data, that is, performing intuitive analysis of variance (IANOVA), is common in everyday life. However, the intuitive reasoning of individuals when making such inferences (even following statistics instruction), often differs from the normative logic of formal statistics. The…