Researchers in second language (L2) and education domain use different statistical methods to assess their constructs of interest. Many L2 constructs emerge from elements/parts, i.e., the elements "define" and "form" the construct and not the other way around. These constructs are referred to as emergent variables (also called…

Factor analysis is widely utilized to identify latent factors underlying the observed variables. This paper presents a comprehensive comparative study of two widely used methods for determining the optimal number of factors in factor analysis, the K1 rule, and parallel analysis, along with a more recently developed method, the bass-ackward method.…

Weiss, Keith, Zhu, and Chen (2013a) and Weiss, Keith, Zhu, and Chen (2013b), this issue, report examinations of the factor structure of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) and Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV), respectively; comparing Wechsler Hierarchical Model (W-HM) and…

One of the major current issues in education is the question of why Chinese and East Asian students are outperforming those from Western countries. Research into the approaches to learning of Chinese students revealed the existence of intermediate approaches, combining memorising and understanding, which were distinct from rote learning. At the…

Objective: This study examines the psychometric properties of the revised Perceived Social Competence Scale (PSCS), a brief, user-friendly tool used to assess social competence among youth. Method: Confirmatory factor analyses (CFAs) examined the factor structure and invariance of an enhanced scale (PSCS-II), among a sample of 420 youth.…

We examined novice teachers' beliefs about grading and constructivist teaching approaches. Adapting an existing instrument designed to assess preservice teachers' grading beliefs that deviate from recommended practices, we administered the Survey of Grading Beliefs to 203 inservice teachers. Exploratory factor analysis resulted in a 3-factor model…

We estimated the invariance of educational achievement (EA) and learning attitudes (LA) measures across nations. A multi-group confirmatory factor analysis was used to estimate the invariance of educational achievement and learning attitudes across 55 nations (Programme for International Student Assessment [PISA] 2006 data, N = 354,203). The…

When comparing latent variables among groups, it is important to first establish the equivalence or invariance of the measurement model across groups. Confirmatory factor analysis (CFA) is a commonly used methodological approach to examine measurement equivalence/invariance (ME/I). Within the CFA framework, the chi-square goodness-of-fit test and…

A number of psychometricians have argued for the use of parallel analysis to determine the number of factors. However, parallel analysis must be viewed at best as a heuristic approach rather than a mathematically rigorous one. The authors suggest a revision to parallel analysis that could improve its accuracy. A Monte Carlo study is conducted to…

The engagement and retention of commencing students is a longstanding issue in higher education, particularly with the implementation of the widening student participation agenda. The early weeks of the first semester are especially critical to student engagement and early attrition. This study investigated the perceived early transition needs of…

The study assesses the psychometric properties of the Italian version of the Norwegian Teacher Self-Efficacy Scale--NTSES. Multiple group confirmatory factor analysis was used to explore the measurement invariance of the scale across two countries. Analyses performed on Italian and Norwegian samples confirmed a six-factor structure of the scale…

Although quality of the teacher-student relationship contributes to school adjustment, students who experience difficulties appear to be least likely to benefit from positive interactions with their teachers. It was of interest to explore a broadened conceptualization of teacher-student relationship that considers both emotional connection and…

The factor structure, internal consistency, construct validity, and predictive validity of the Dutch version of the Five Facet Mindfulness Questionnaire (FFMQ-NL) were studied in a sample of meditators (n = 288) and nonmeditators (n = 451). A five-factor structure was demonstrated in both samples, and the FFMQ-NL and its subscales were shown to…

Using the example of responses from civil engineering students at a very highly ranked participating university, this guide demonstrates the importance of comparative data when using student questionnaire data for undergraduate academic program review. It also emphasizes the advantage of using factor structures for better questionnaire-based…

CEFA 3.02(Browne, Cudeck, Tateneni, & Mels, 2008) is a factor analysis computer program designed to perform exploratory factor analysis. It provides the main properties that are needed for exploratory factor analysis, namely a variety of factoring methods employing eight different discrepancy functions to be minimized to yield initial…