In basketball, game-related statistics are the most common measure of performance. However, the literature assessing their reliability is scarce. Purpose: Analyze the number of games required to obtain a good relative and absolute reliability of teams' game-related statistics. Method: A total of 884 games from the 2015-2016 to 2017-2018 seasons of…

The efficient curation of usage statistics for electronic collections has remained problematic for librarians. Many libraries employ multiple tools and manual processes in order to consolidate and examine usage data. In 2018, the Electronic Resources unit at The University of Alabama Libraries began using LastPass to store vendor contact…

Moderators are variables that affect the relationship between a predictor and outcome. They help to clarify otherwise ambiguous patterns of results, extend theory, and signal the growth of a field. Given the importance of moderators, the authors offer an overview of methodological and statistical considerations for testing moderation and then…

We use ordinal confirmatory factor analysis techniques to investigate the six-factor structure of the Survey of Attitudes Toward Statistics (SATS-36) and to estimate method effects associated with its items and factors. We extend previous confirmatory research to include posttest, as well as pretest, item-level data. We also investigate method…

Modern environmental science research increasingly requires computational ability to apply statistics to environmental science problems, but graduate students in these scientific fields typically lack these integral skills. Many scientific graduate degree programs expect students to acquire these computational skills in an applied statistics…

The transition from the probability mass function for discrete random variables to the probability density function for continuous random variables is not straightforward, especially to students from the health and social sciences. An R Shiny application was created to assist the learning process of probability density function.

Regression mixture models are a statistical approach used for estimating heterogeneity in effects. This study investigates the impact of sample size on regression mixture's ability to produce "stable" results. Monte Carlo simulations and analysis of resamples from an application data set were used to illustrate the types of problems that…

Purpose: Bayesian multilevel models are increasingly used to overcome the limitations of frequentist approaches in the analysis of complex structured data. This tutorial introduces Bayesian multilevel modeling for the specific analysis of speech data, using the brms package developed in R. Method: In this tutorial, we provide a practical…

The commenter's proposal may be a reasonable method for addressing uncertainty in predictive modeling, where the goal is to predict "y." In a treatment effects framework, where the goal is causal inference by conditioning-on-observables, the commenter's proposal is deeply flawed. The proposal (1) ignores the definition of…

To acquire social conventional knowledge, children must distinguish between behaviors that are practiced by groups of people versus those that are practiced by individuals. How do children infer the scope (i.e., level of generality) of social behavior? Prior work has addressed this question by focusing on the cues or instruction that adults…

Using a multinomial regression and a nationally representative sample of school counselors, we examined the factors influencing the percentage of time school counselors spend on career planning. Findings indicate that the school locale, school type, percentage of non-White students, and the number of full-time counselors were significant…

The latest edition highlights information about schools, enrollment and staffing patterns for Catholic elementary and secondary schools. [For the 2017-2018 edition, see ED591954.]

Principal stratification is a widely used framework for addressing post-randomization complications. After using principal stratification to define causal effects of interest, researchers are increasingly turning to finite mixture models to estimate these quantities. Unfortunately, standard estimators of mixture parameters, like the MLE, are known…

Studies analyzing clustered data sets using both multilevel models (MLMs) and ordinary least squares (OLS) regression have generally concluded that resulting point estimates, but not the standard errors, are comparable with each other. However, the accuracy of the estimates of OLS models is important to consider, as several alternative techniques…

The current study represents the first longitudinal investigation of the potential effects of breastfeeding duration on maternal sensitivity over the following decade. This study also examined whether infant attachment security at 24 months would mediate longitudinal relations between breastfeeding duration and changes in maternal sensitivity over…