Search results for " factor analysis"
showing 10 items of 441 documents
Relationship between socioeconomic factors and intelligence of preschoolers: A cohort study in the Serbian context
2020
The aim of the current research is to analyse the relationship between the socioeconomic status (SES) of parents and intellectual abilities (IQ) of preschool children of Serbian territory, and in particular how SES factors relate to preschool children’s IQ measured with Raven’s Coloured Progressive Matrices (CPM), in the different age groups. The research included 430 parents and 430 preschool children. A confirmatory factor analysis of the SES questionnaire revealed five factors: educational and professional status of father and mother, residential and educational status of the family, sport status of parents and comfort of family housing. No gender differences in IQ levels were found in c…
2020
Abstract Challenge is a key motivation for videogame play. But what kind of challenge types videogames include, and which of them players prefer? This article helps to answer the above questions by developing and validating Videogame Challenge Inventory (CHA), a psychometrically sound measurement for investigating players’ challenge preferences in videogames. Based on a review of literature, we developed a 38-item version of CHA that was included in a social media user survey (N = 813). An exploratory factor analysis (EFA) revealed a latent structure of five challenge types: Physical, Analytical, Socioemotional, Insight, and Foresight. CHA was amended in another EFA with USA-based survey da…
A Validation Study of Classroom Assessment Scoring System–Secondary in the Finnish School Context
2017
This study examined the reliability and validity of the Classroom Assessment Scoring System–Secondary (CLASS-S) in Finnish classrooms. Trained observers coded classroom interactions based on video recordings of 46 Grade 6 classrooms (450 cycles). Concurrent associations were investigated with respect to teacher self-ratings (e.g., efficacy beliefs and teaching-related stress). Confirmatory factor analysis showed that the hypothesized three-factor structure of the original CLASS-S (Emotional Support, Organizational Support, and Instructional Support), with some modifications, provided a better fit for the data compared with one- and two-factor structures. Structural validity was demonstrate…
Rosenberg's self‐esteem scale: Two factors or method effects
1999
Self‐esteem is one of the most studied constructs in psychology. It has been measured with a variety of methods and instruments. Although Rosenberg's (1965) self‐report scale is one of the most widely used, empirical evidence on factor validity of this scale is somewhat contradictory, with either 1 or 2 factors. The results of this study suggest the existence of a global self‐esteem factor underlying responses to the scale, although the inclusion of method effects is needed to achieve a good model fit.
Measurement Invariance of the Multidimensional Scale of Perceived Social Support Among Chinese and South Asian Ethnic Minority Adolescents in Hong Ko…
2020
Seven hundred adolescents (Chinese = 50%; South Asian ethnic minority = 50%) with mean age of 15.3 years (SD = 1.53). Multigroup confirmatory factor analysis was performed to assess measurement invariance of the MSPSS scale across Chinese and South Asian ethnic minority samples. Results show that the original three-factor structure of the MSPSS was supported in both samples. Measurement invariance was supported in terms of configural, metric, and partial scalar invariance. Given partial scalar invariance was achieved, the latent mean differences were compared across samples. Chinese adolescents had higher levels of all three types of social support when compared with their South Asian ethni…
Adaptation and Initial Validation of the BRCS in an Elderly Spanish Sample
2012
Resilience is understood as a dynamic process encompassing positive adaptation within the context of adversity. This study examined the validity of the Brief Resilient Coping Scale (BRCS), a 4-item measure designed to capture tendencies to cope with stress in a highly adaptive manner, in an elderly Spanish population. A total of 133 elderly people from an association of retired persons in Valencia (Spain) provided the responses for the validation study. The factorial validity of the scale was tested using confirmatory factor analysis, with a single dimension of resilience with adequate fit indexes emerging from this analysis. The BRCS has adequate internal consistency both at the scale and…
Panel Conditioning or SOCRATIC EFFECT REVISITED: 99 Citations, but is there Theoretical Progress?
2020
In a paper published as early as 1987 by Jagodzinski, Kuhnel and Schmidt on attitude measurement in a three wave panel study, we established empirically a general orientation toward foreign employees in Western Germany called “Gastarbeiter”. These items have been continuously used from 1980 till now in the ALLBUS studies (Wasmer and Hochman 2019). In this paper, we have analyzed how the citation, explanation and modeling of the Socratic effect for explaining changes in panel data developed over time starting with the original paper of Jagodzinski et al. (1987). According to Google Scholar retrieved at 24.1.2019, 99 citations were found, which are all listed in the Online Supplementary. From…
A Monte Carlo study comparing PIV, ULS and DWLS in the estimation of dichotomous confirmatory factor analysis
2012
We conducted a Monte Carlo study to investigate the performance of the polychoric instrumental variable estimator (PIV) in comparison to unweighted least squares (ULS) and diagonally weighted least squares (DWLS) in the estimation of a confirmatory factor analysis model with dichotomous indicators. The simulation involved 144 conditions (1,000 replications per condition) that were defined by a combination of (a) two types of latent factor models, (b) four sample sizes (100, 250, 500, 1,000), (c) three factor loadings (low, moderate, strong), (d) three levels of non-normality (normal, moderately, and extremely non-normal), and (e) whether the factor model was correctly specified or misspecif…
STATIS and DISTATIS: optimum multitable principal component analysis and three way metric multidimensional scaling
2012
STATIS is an extension of principal component analysis PCA tailored to handle multiple data tables that measure sets of variables collected on the same observations, or, alternatively, as in a variant called dual-STATIS, multiple data tables where the same variables are measured on different sets of observations. STATIS proceeds in two steps: First it analyzes the between data table similarity structure and derives from this analysis an optimal set of weights that are used to compute a linear combination of the data tables called the compromise that best represents the information common to the different data tables; Second, the PCA of this compromise gives an optimal map of the observation…
Multiple factor analysis: principal component analysis for multitable and multiblock data sets
2013
Multiple factor analysis MFA, also called multiple factorial analysis is an extension of principal component analysis PCA tailored to handle multiple data tables that measure sets of variables coll...