Towards the development of measures of perceived benefits and compatibility of EDI: a comparative assessment of competing first order factor models

1998 ◽  
Vol 7 (3) ◽  
pp. 210-220 ◽  
Author(s):  
M C Jones ◽  
R C Beatty
Keyword(s):  
Factor Models ◽  
Comparative Assessment ◽  
Perceived Benefits ◽  
First Order ◽  
Order Factor

scholarly journals Bifactor Models for Predicting Criteria by General and Specific Factors: Problems of Nonidentifiability and Alternative Solutions

2018 ◽  
Vol 6 (3) ◽  
pp. 42 ◽  
Author(s):  
Michael Eid ◽  
Stefan Krumm ◽  
Tobias Koch ◽  
Julian Schulze
Keyword(s):  
Factor Models ◽  
Formal Proof ◽  
Bifactor Model ◽  
First Order ◽  
Applied Model ◽  
Measurement Models ◽  
Bifactor Models ◽  
Specific Factors ◽  
Order Factor ◽  
Criterion Variables

The bifactor model is a widely applied model to analyze general and specific abilities. Extensions of bifactor models additionally include criterion variables. In such extended bifactor models, the general and specific factors can be correlated with criterion variables. Moreover, the influence of general and specific factors on criterion variables can be scrutinized in latent multiple regression models that are built on bifactor measurement models. This study employs an extended bifactor model to predict mathematics and English grades by three facets of intelligence (number series, verbal analogies, and unfolding). We show that, if the observed variables do not differ in their loadings, extended bifactor models are not identified and not applicable. Moreover, we reveal that standard errors of regression weights in extended bifactor models can be very large and, thus, lead to invalid conclusions. A formal proof of the nonidentification is presented. Subsequently, we suggest alternative approaches for predicting criterion variables by general and specific factors. In particular, we illustrate how (1) composite ability factors can be defined in extended first-order factor models and (2) how bifactor(S-1) models can be applied. The differences between first-order factor models and bifactor(S-1) models for predicting criterion variables are discussed in detail and illustrated with the empirical example.

Confirmatory Factor Analysis of the Group Environment Questionnaire with an Intercollegiate Sample

1996 ◽  
Vol 18 (1) ◽  
pp. 49-63 ◽  
Author(s):  
Fuzhong Li ◽  
Peter Harmer
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Group Cohesion ◽  
Factor Models ◽  
Second Order ◽  
First Order ◽  
Confirmatory Factor ◽  
Group Environment ◽  
Order Factor ◽  
Group Environment Questionnaire

This study was designed to assess the factorial construct validity of the Group Environment Questionnaire (GEQ; Carron, Widmeyer, & Brawley, 1985) within a hypothesis-testing framework. Data were collected from 173 male and 148 female intercollegiate athletes. Based on Carron et al.’s (1985) conceptual model of group cohesion, the study examined (a) the extent to which the first-order four-factor model could be confirmed with an intercollegiate athlete sample and (b) the degree to which higher order factors could account for the covariation among the four first-order factors. The a priori models of GEQ, including both the first- and second-order factor models, were tested through confirmatory factor analysis (CFA). CFA results showed that the theoretically specified first- and second-order factor models fit significantly better than all alternative models. These results demonstrated that the GEQ possesses adequate factorial validity and reliability as a measure of the sport group cohesion construct for an intercollegiate athlete sample.

Challenging the Multidimensional Conception of Perceived Person-Environment Fit

2020 ◽  
pp. 1-9
Author(s):  
Julian M. Etzel ◽  
Gabriel Nagy
Keyword(s):  
Higher Education ◽  
University Students ◽  
Educational Outcomes ◽  
Factor Model ◽  
Higher Order ◽  
Substantial Proportion ◽  
Unique Variance ◽  
First Order ◽  
Person Environment Fit ◽  
Order Factor

Abstract. In the current study, we examined the viability of a multidimensional conception of perceived person-environment (P-E) fit in higher education. We introduce an optimized 12-item measure that distinguishes between four content dimensions of perceived P-E fit: interest-contents (I-C) fit, needs-supplies (N-S) fit, demands-abilities (D-A) fit, and values-culture (V-C) fit. The central aim of our study was to examine whether the relationships between different P-E fit dimensions and educational outcomes can be accounted for by a higher-order factor that captures the shared features of the four fit dimensions. Relying on a large sample of university students in Germany, we found that students distinguish between the proposed fit dimensions. The respective first-order factors shared a substantial proportion of variance and conformed to a higher-order factor model. Using a newly developed factor extension procedure, we found that the relationships between the first-order factors and most outcomes were not fully accounted for by the higher-order factor. Rather, with the exception of V-C fit, all specific P-E fit factors that represent the first-order factors’ unique variance showed reliable and theoretically plausible relationships with different outcomes. These findings support the viability of a multidimensional conceptualization of P-E fit and the validity of our adapted instrument.

scholarly journals Mathematical Creativity in Adults: Its Measurement and Its Relation to Intelligence, Mathematical Competence and General Creativity

2021 ◽  
Vol 9 (1) ◽  
pp. 10
Author(s):  
Michaela A. Meier ◽  
Julia A. Burgstaller ◽  
Mathias Benedek ◽  
Stephan E. Vogel ◽  
Roland H. Grabner
Keyword(s):  
Exploratory Study ◽  
Mathematical Creativity ◽  
Good Reliability ◽  
Mathematical Competence ◽  
First Order ◽  
The Past ◽  
Confirmatory Factor ◽  
Order Factor ◽  
General Creativity ◽  
Creativity Measure

Mathematical creativity is perceived as an increasingly important aspect of everyday life and, consequently, research has increased over the past decade. However, mathematical creativity has mainly been investigated in children and adolescents so far. Therefore, the first goal of the current study was to develop a mathematical creativity measure for adults (MathCrea) and to evaluate its reliability and construct validity in a sample of 100 adults. The second goal was to investigate how mathematical creativity is related to intelligence, mathematical competence, and general creativity. The MathCrea showed good reliability, and confirmatory factor analysis confirmed that the data fitted the assumed theoretical model, in which fluency, flexibility, and originality constitute first order factors and mathematical creativity a second order factor. Even though intelligence, mathematical competence, and general creativity were positively related to mathematical creativity, only numerical intelligence and general creativity predicted unique variance of mathematical creativity. Additional analyses separating quantitative and qualitative aspects of mathematical creativity revealed differential relationships to intelligence components and general creativity. This exploratory study provides first evidence that intelligence and general creativity are important predictors for mathematical creativity in adults, whereas mathematical competence seems to be not as important for mathematical creativity in adults as in children.

Underlying Common Factors of Adolescent Problem Behaviors

2002 ◽  
Vol 29 (2) ◽  
pp. 161-182 ◽  
Author(s):  
Lening Zhang ◽  
John W. Welte ◽  
William F. Wieczorek
Keyword(s):  
Problem Behaviors ◽  
Latent Variable ◽  
Factor Model ◽  
Common Factor ◽  
Measurement Model ◽  
First Order ◽  
Adolescent Problem Behaviors ◽  
The Common ◽  
Order Factor ◽  
Second Order Factor Analysis

The Buffalo Longitudinal Study of Young Men was used to address the possibility of a common factor underlying adolescent problem behaviors. First, a measurement model with a single first-order factor was compared to a model with three separate correlated first-order factors. The three-factor model was better supported, making it logical to conduct a second-order factor analysis, which confirmed the logic. Second, a substantive model was estimated in each of two waves with psychopathic state as the common factor predicting drinking, drug use, and delinquency. Psychopathic state was stable across waves. The theory that a single latent variable accounts for large covariance among adolescent problem behaviors was supported.

scholarly journals Can We Compare Solidarity Across Europe? What, Why, When, and How to Assess Exact and Approximate Equivalence of First- and Second-Order Factor Models

2021 ◽  
Vol 3 ◽  
Author(s):  
Vera Lomazzi
Keyword(s):  
Factor Model ◽  
Second Order ◽  
Three Dimensions ◽  
Alignment Method ◽  
Cross Sectional ◽  
Political Values ◽  
First Order ◽  
Measurement Models ◽  
European Values ◽  
Order Factor

Although measurement invariance is widely considered a precondition for meaningful cross-sectional comparisons, substantive studies have often neglected evaluating this assumption, thereby risking drawing conclusions and making theoretical generalizations based on misleading results. This study offers a theoretical overview of the key issues concerning the measurement and the comparison of socio-political values and aims to answer the questions of what must be evaluated, why, when, and how to assess measurement equivalence. This paper discusses the implications of formative and reflective approaches to the measurement of socio-political values and introduces challenges in their comparison across different countries. From this perspective, exact and approximate approaches to equivalence are described as well as their empirical translation in statistical techniques, such as the multigroup confirmatory factor analysis (MGCFA) and the frequentist alignment method. To illustrate the application of these methods, the study investigates the construct of solidarity as measured by European Values Study (EVS) and using data collected in 34 countries in the last wave of the EVS (2017–2020). The concept is captured through a battery of nine items reflecting three dimensions of solidarity: social, local, and global. Two measurement models are hypothesized: a first-order factor model, in which the three independent dimensions of solidarity are correlated, and a second-order factor model, in which solidarity is conceived according to a hierarchical principle, and the construct of solidarity is reflected in the three sub-factors. In testing the equivalence of the first-order factor model, the results of the MGCFA indicated that metric invariance was achieved. The alignment method supported approximate equivalence only when the model was reduced to two factors, excluding global solidarity. The second-order factor model fit the data of only seven countries, in which this model could be used to study solidarity as a second-order concept. However, the comparison across countries resulted not appropriate at any level of invariance. Finally, the implications of these results for further substantive research are discussed.

scholarly journals Examining the Impostor-Profile—Is There a General Impostor Characteristic?

2021 ◽  
Vol 12 ◽  
Author(s):  
Fabio Ibrahim ◽  
Johann-Christoph Münscher ◽  
Philipp Yorck Herzberg
Keyword(s):  
Convergent Validity ◽  
Factor Model ◽  
Second Order ◽  
Model Fit ◽  
Impostor Phenomenon ◽  
General Factor ◽  
Order Model ◽  
First Order ◽  
Order Factor ◽  
Best Fit

The Impostor-Profile (IPP) is a six-dimensional questionnaire measuring the Impostor Phenomenon facets. This study aims to test (a) the appropriateness of a total score, (b) measurement invariance (MI) between gender, (c) the reliability of the IPP, and (d) the convergent validity of the IPP subscales. The sample consisted of N = 482 individuals (64% female). To identify whether the scales of the IPP form a total score, we compared four models: (1) six correlating subscales, (2) a general factor model, (3) a second-order model with one second-order factor and six first-order factors, and (4) a bifactorial model with six group factors. The bifactorial model obtained the best fit. This supports the assumption of a total impostor score. The inspection of structural validity between gender subgroups showed configural, metric, and partial scalar MI. Factor mean comparisons supported the assumption that females and males differ in latent means of the Impostor Phenomenon expressions. The omega coefficients showed sufficient reliability (≥0.71), except for the subscale Need for Sympathy. Overall, the findings of the bifactor model fit and construct validity support the assumption that the measurement through total expression is meaningful in addition to the theoretically formulated multidimensionality of the Impostor Phenomenon.

Die persoonlikheidsprofiel van suksesvolle bewakingsdienspersoneel

1996 ◽  
Vol 22 (3) ◽  
Author(s):  
T. L. Nell ◽  
L. Kamfer ◽  
R. P. Van Der Merwe ◽  
D. J. L. Venter
Keyword(s):  
Discriminant Analysis ◽  
South African ◽  
Second Order ◽  
Stepwise Discriminant Analysis ◽  
Personality Profile ◽  
First Order ◽  
Correctional Services ◽  
Order Factor ◽  
Independent Criterion ◽  
Better Than

The personality profile of successful prison warders. In an attempt to develop a personality profile for successful prison warders, scores on CattelFs 16-PF (SA92-form) were obtained from 361 warders employed by the South African Department of Correctional Services. Independent criterion information (tempo of promotion) was also obtained and used as indicator of job success. Using Hotelling's T2, it was found that the first order factor profiles of successful and unsuccessful warders differed significantly. There was no difference in their second order profiles. By means of stepwise discriminant analysis with personality as independent and success (expressed as a dichotomy) as the dependant variable, four first order factors were identified and formulae derived which predicted 14,8 better than chance whether a warder would be correctly classified as successful or not on the dichotomous success criterion. Opsomming In 'n poging om 'n persoonlikheidsprofiel vir suksesvolle bewakingsdienspersoneel saam te stel, is response op Cattell se 16-PF (SA92-vorm) vanaf 361 bewakingsdienspersoneellede werksaam by die Suid-Afrikaanse Departement van Korrektiewe Dienste, verkry. Inligting in terme van onafhanklike kriterium (tempo van bevordering) is ook verkry en gebruik as aanduiding van werksukses. Deur die gebruik van Hotelling se T2 is bepaal dat die ecrsteorde profiele van suksesvolle en onsuksesvolle bewakingsdienslede beduidend van mekaar verskil. Daar is geen beduidende verskil ten opsigte van die tweedeorde profiele gevind nie. Deur middel van stapsgewyse diskriminantontleding, met persoonlikheid as onafhanklike en sukses (uitgedruk as 'n digotomie) as afhanklike veranderlike, is vier eersteorde faktore geidentifiseer en formules saamgestel wat 14,8 beter as toeval kan voorspel of "n persoon suksesvol of onsuksesvol volgens die digotomiese sukseskriterium sal wees.

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