Social scientists routinely address temporal dependence by adopting a simple technical fix. However, the correct identification strategy for a causal effect depends on causal assumptions. These need to be explicated and justified; almost no studies do so. This article addresses this shortcoming by offering a precise general statement of the…

Nobel laureates, technological pioneers, and innovative entrepreneurs are unequally distributed across the globe. Their density increases in regions toward the North Pole, toward the South Pole, and very close to the Equator. This geographic anomaly led us to explore whether stressful demands of climatic cold and climatic heat (imposed…

Background: It is important to investigate receipt of vocational rehabilitation (VR) services, service patterns and outcomes for youth with autism, so that limited public resources can be used more efficiently. Method: This study used chi-squared automatic interaction detector, and multivariate logistic regression analysis to investigate…

The social relations model (SRM) is a mathematical model that can be used to analyze interpersonal judgment and behavior data. Typically, the SRM is applied to one (i.e., univariate SRM) or two variables (i.e., bivariate SRM), and parameter estimates are obtained by employing an analysis of variance method. Here, we present an extension of the SRM…

We explore 11-12-year-old students' emerging ideas of models and modelling as they engage in a data-modelling task involving inquiry based on data obtained from an experiment. We report on a design-based study in which students identified what and how to measure, decided how to structure and represent data, and made inferences and predictions…

Statistics is one of the important branches of mathematics taught in schools, colleges and universities. It is also an important tool in public policy discussions. This paper focuses on the use of statistics in the latter context, rather than its use in adult mathematics education research. I review the key characteristics of the statistical…

Research shows that misconceptions are usually detrimental to text comprehension. However, whether misconceptions also impair metacomprehension accuracy, that is, the accuracy with which one self-assesses one's text comprehension, has received far less attention. We conducted a study in which we examined students' (N = 47) comprehension and…

A key part of determining cut-scores when performing Angoff standard setting is utilizing equating methods to place standard-setting ratings onto the scale used to report scores to examinees. This article describes three equating methods that can be employed to place Angoff ratings onto the scale used to report scores to examinees when applying…

This research study provides an examination of the relatively new fields of Data Analytics and Data Science. We compare word rates in Data Analytics and Data Science documents to determine which concepts are mentioned most often. The most frequent concept in both fields is "data." The word rate for "data" is more than twice the…

According to data recently released by the National Center for Education Statistics, most adults in the workforce (58 percent) either have a postsecondary degree or some other form of workforce credential, including postsecondary certificates, occupational licenses or occupational certifications. This is higher than the 45 percent of adult workers…

Drawing on data from the survey of former students, the primary purpose of this analysis is to identify determinants of students' performance in a sociological statistics class. Multiple correlation regression was used in analyzing the data. The results revealed that student status, previous courses taken in mathematics and statistics were the…

The Hartung-Knapp method for random-effects meta-analysis, that was also independently proposed by Sidik and Jonkman, is becoming advocated for general use. This method has previously been justified by taking all estimated variances as known and using a different pivotal quantity to the more conventional one when making inferences about the…

Having surveyed the history and methods of meta-regression in a previous paper, in this paper, we review which and how meta-regression methods are applied in recent research syntheses. To do so, we reviewed studies published in 2016 across four leading research synthesis journals: "Psychological Bulletin," the "Journal of Applied…

The primary objective of the study is to examine the level of awareness and usage of data triangulation among under and post graduates in the tertiary institution. A descriptive survey was adopted and data collected from a sample of 114 selected randomly. A self-developed and validated instrument was used to collect data. Data collected were…

In this article, we systematically introduce the just another Gibbs sampler (JAGS) software program to fit common Bayesian cognitive diagnosis models (CDMs) including the deterministic inputs, noisy "and" gate model; the deterministic inputs, noisy "or" gate model; the linear logistic model; the reduced reparameterized unified…