This study focused on the development of the Socialization of Lying scale for which exploratory factor analysis demonstrated four empirically interpretable subscales: Parents' Values and Direct Socialization about Honesty, Encouragement and Modeling of Lying, Consequences for Lying, and The Child's Problematic Lying. These emergent factors suggest…

The present study is part of an exploratory research study conducted to understand the Learning experiences of adult learners in Higher Education Institutes in India. The primary aim of the present study was to examine the motivational orientations of adult learners for lifelong educational courses and hence, the Educational Participation Scale…

Financial literacy scales are often used as a diagnostic tool to assess financial knowledge levels among various populations, although few of them have undergone empirical testing. This study utilized exploratory factor analysis (EFA) with a sample of Chinese rural migrant workers to identify the underlying structure of a financial literacy scale…

Numerous educational institutions worldwide have halted face-to-face teaching and learning sessions in response to the COVID-19 outbreak. In Malaysia, the suspension began in March 2020, pushing educational institutions to transition to online classrooms and reshape their academic calendars for consecutive semesters. The reality of online classes…

Item factor analysis (IFA), also known as Multidimensional Item Response Theory (MIRT), is a general framework for specifying the functional relationship between a respondent's multiple latent traits and their response to assessment items. The key element in MIRT is the relationship between the items and the latent traits, so-called item factor…

Scales assessing stressor exposure often fail to demonstrate adequate psychometric qualities, demonstrating low interitem reliability or complex factor structures, as would be expected, given that the majority of stressors are independent events. However, in large-scale mass crisis events, the stressors may be highly interrelated, indicating…

The purpose of this two-part study is to evaluate methods for multiple group analysis when the comparison group is at the within level with multilevel data, using a multilevel factor mixture model (ML FMM) and a multilevel multiple-indicators multiple-causes (ML MIMIC) model. The performance of these methods was evaluated integrally by a series of…

The research and practice of social scientists who work in a myriad of different specialty areas involve developing and validating scores on instruments as well as evaluating the psychometric properties of existing instrumentation for use with research participants. In this article, the author introduces The MEASURE Approach to instrument…

In this article, we develop the revised and short versions of the pseudoscientific belief scale through two empirical studies (N = 4154). This revision is motivated by the excessive length of the scale, as well as by consistent observations of poor item loadings across several studies. Exploratory factor analysis in Study 1 revealed 11 dispensable…

The present investigation aims to test the validity of scores on the math homework purpose scale (MHPS) for high school students. Factorial results found that the MHPS contained three subscales: academic purpose, self-regulatory purpose, and approval-seeking purpose. Furthermore, the MHPS had a sufficient level of measurement and latent factor…

Background: Self-assessments for adults who stutter are recommended as a primary evaluation tool for including their views on stuttering. Evaluating adults who stutter with self-assessment scales is important. However, there is no tool in the Turkish literature that provides this measurement. Aims: To develop the Turkish version of The Wright and…

Purpose: The aim of this study is to develop a model grounded by the institutional theory to investigate blended learning (BL) implementation among faculty members in higher education and further validate the model. Design/methodology/approach: Quantitative methodology was employed, and data were gathered through questionnaires among 188…

This study investigated the small sample biasness of the ordered logit model parameters under multicollinearity using Monte Carlo simulation. The results showed that the level of biasness associated with the ordered logit model parameters consistently decreases for an increasing sample size while the distribution of the parameters becomes less…

The Children's Sleep Habits Questionnaire (CSHQ) is often used to assess sleep in children with autism spectrum disorder (ASD), but little is known about its factor structure in younger children with ASD. We evaluated alternative factor structures and measurement invariance for CSHQ items in 2- to 4-year-olds with ASD or typical development (TD).…

JMP® Pro has introduced a new structural equation modeling (SEM) platform to its suite of multivariate methods of analysis. Utilizing their graphical user interface, JMP Pro has created a SEM platform that is easily navigable for both experienced and novice SEM users. As a new platform, JMP Pro does not have the capacity to implement certain…