Statistical tests carry with them a number of assumptions that must be checked. Failing to do so and to report the results of such preliminary analyses introduce a potential threat to the internal validity of a study and to our ability as consumers to put faith in study findings. This article systematically examines the reporting of checks on…

Theories of causation in philosophy ask what makes causal claims true and establish the so-called truth conditions allowing one to separate causal from noncausal relationships. We argue that social scientists should be aware of truth conditions of causal claims because they imply which method of causal inference can establish whether a specific…

Population-adjusted indirect comparisons estimate treatment effects when access to individual patient data is limited and there are cross-trial differences in effect modifiers. Popular methods include matching-adjusted indirect comparison (MAIC) and simulated treatment comparison (STC). There is limited formal evaluation of these methods and…

In evaluating the learning achievement of programming-thinking skills, the method of using a rubric that describes evaluation items and evaluation stages is widely employed. However, few studies have evaluated the reliability, validity, and consistency of the rubrics themselves. In this study, we introduced a statistical method for evaluating the…

Massive Open Online Courses (MOOCs) have become a popular tool for worldwide learners. However, a lack of emotional interaction and support is an important reason for learners to abandon their learning and eventually results in poor learning performance. This study applied an integrative framework of achievement emotions to uncover their holistic…

Mixture models have been developed to enable detection of within-subject differences in responses and response times to psychometric test items. To enable mixture modeling of both responses and response times, a distributional assumption is needed for the within-state response time distribution. Since violations of the assumed response time…

Based on a statistical analysis, undergraduate business students are shown to prefer classification tree over six other standard data mining techniques. Data were collected over a 4-year period from students taking a data mining course offered at a business university in the US. The principal reason given by students for this preference is that…

Purpose: This study aims to compare the performances of Item Response Theory (IRT) equating and kernel equating (KE) methods based on equating errors (RMSD) and standard error of equating (SEE) using the anchor item nonequivalent groups design. Method: Within this scope, a set of conditions, including ability distribution, type of anchor items…

In this multiyear, statewide investigation, the extent to which enrollment rates of male and female, part-time, first-time-in-college students enrolled in Texas community colleges differed from the 2003-2004 academic year to the 2018-2019 academic year was determined. From the 2003-2004 academic year to the 2011-2012 academic year, statistically…

Like other nations, Vietnam annually subsidies higher education via state budget to maintain academic operations of public institutions. However, the question of how to fairly and appropriately distribute state funding to public institutions is still challenging, therefore unfair distribution to some extent influence their cost efficiency. Using…

Transition metrics, which quantify the propensity for one event to follow another, are often utilized to study sequential patterns of behaviors, emotions, actions, and other states. However, little is known about the conditions in which application of transition metrics is appropriate. We report on two experiments in which we simulated sequences…

Today, postsecondary institutions in the US typically wish to enroll entering classes that are both academically qualified and diverse. Although the definition of diversity varies from school to school, the challenge is essentially the same: How can academic objectives be combined with goals that involve the composition of the entering class? Many…

This study investigated the power of two-level hierarchical linear modeling (HLM) to explain variability in intervention effectiveness between participants in context of single-case experimental design (SCED) research. HLM is a flexible technique that allows the inclusion of participant characteristics (e.g., age, gender, and disability types) as…

The historical development of the EER program, from its initiative as WSU's first Ed. D., to its growth with the Ph. D. and master's program, was well documented (Irwin, 1960). The importance of the EER doctoral program was established, in terms of its role in the COE, within WSU, and in the outside business and industry communities (Ozkan, 2008).…

Lean is a process improvement approach to improve organization's efficiency by identifying and eliminate non-value-added activities, while Six Sigma is a methodology focused on reduction of process variation. The integration of both, namely Lean Six Sigma (LSS) drives organization on waste elimination, variation reduction and value creation, which…