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1.
Multigroup exploratory factor analysis (EFA) has gained popularity to address measurement invariance for two reasons. Firstly, repeatedly respecifying confirmatory factor analysis (CFA) models strongly capitalizes on chance and using EFA as a precursor works better. Secondly, the fixed zero loadings of CFA are often too restrictive. In multigroup EFA, factor loading invariance is rejected if the fit decreases significantly when fixing the loadings to be equal across groups. To locate the precise factor loading non-invariances by means of hypothesis testing, the factors’ rotational freedom needs to be resolved per group. In the literature, a solution exists for identifying optimal rotations for one group or invariant loadings across groups. Building on this, we present multigroup factor rotation (MGFR) for identifying loading non-invariances. Specifically, MGFR rotates group-specific loadings both to simple structure and between-group agreement, while disentangling loading differences from differences in the structural model (i.e., factor (co)variances).  相似文献   

2.
This article presents a new method for multiple-group confirmatory factor analysis (CFA), referred to as the alignment method. The alignment method can be used to estimate group-specific factor means and variances without requiring exact measurement invariance. A strength of the method is the ability to conveniently estimate models for many groups. The method is a valuable alternative to the currently used multiple-group CFA methods for studying measurement invariance that require multiple manual model adjustments guided by modification indexes. Multiple-group CFA is not practical with many groups due to poor model fit of the scalar model and too many large modification indexes. In contrast, the alignment method is based on the configural model and essentially automates and greatly simplifies measurement invariance analysis. The method also provides a detailed account of parameter invariance for every model parameter in every group.  相似文献   

3.
The article employs exploratory structural equation modeling (ESEM) to evaluate constructs of economic, cultural, and social capital in international large-scale assessment (LSA) data from the Progress in International Reading Literacy Study (PIRLS) 2006 and the Programme for International Student Assessment (PISA) 2009. ESEM integrates the theory-generating approach of exploratory factor analysis (EFA) and theory-testing approach of confirmatory factor analysis (CFA). It relaxes the zero-loading restriction in CFA, allowing items to load on different factors simultaneously, and it provides measurement invariance tests across countries not available in EFA. A main criticism of international LSA studies is the extended use of indicators poorly grounded in theory, like socioeconomic status, that prevent the study of mechanisms underlying associations with student outcomes. This article contributes to addressing this criticism by providing statistical criteria to evaluate the fit of well-defined sociological constructs with the empirical data.  相似文献   

4.
The Student–Teacher Relationship Scale (STRS) is widely used for research in kindergarten and school. The increasing number of applications inside and outside of the U.S. stresses the need to investigate STRS properties, accordingly. The present study used the STRS in German-speaking countries, examining whether (a) the original factor structure is appropriate for a German version, (b) whether applications of a German STRS are invariant across contexts (kindergarten, first and second grade) as well as gender, and (c) whether construct and criterion validity are met. The original STRS was translated into German and filled out by 368 kindergarten and 503 elementary school teachers in Germany and Austria. Observations in kindergartens, student reports in schools, and teacher reports of students’ characteristics served as validity criteria. Results of confirmatory factor analyses (CFAs) did not confirm the original STRS factor structure. Subsequent exploratory factor analyses on training samples resulted in significant item reductions, followed by further CFAs on validation samples. The bootstrapped results yielded an adjusted three-factor model with subscales indicating satisfying alphas and invariance across context and gender. Construct and criterion validity were met for all subscales of the German STRS based on various criteria from both, observations and reports.  相似文献   

5.
Chinese University of Hong Kong students (N = 844) selected a “good” and a “poor” teacher, and rated each using a Chinese translation of the Students' Evaluations of Educational Quality (SEEQ) instrument. Multigroup confirmatory factor analysis (CFA) models, based on a 3 × 2 design, were constructed to test the invariance of the SEEQ factor structure across 3 discipline groups (a between‐group comparison of ratings by students in arts, social sciences, and education; in business administration; and in engineering, medicine, and science) and across ratings of good and poor teachers (via within‐subjects comparison). The selected model imposed between‐group invariance constraints on factor loadings, factor correlations, and factor variances across the 3 discipline groups and within‐subjects invariance constraints on factor loadings across ratings of good and poor teachers. The results support the use of SEEQ in this Chinese setting, demonstrating the generality of North American research findings and the usefulness of CFA in this research area.  相似文献   

6.
Few research-based measures of the family literacy environment are commercially available, especially in Spanish. One exception is the Familia Inventory (Taylor, 1995). The present study investigated the 10 subscales of this instrument and the factor structure they imply, using data from a low-socioeconomic (SES), largely Hispanic population. Confirmatory factor analysis (CFA) was used to test the structure of the instrument as well as whether it is invariant across English and Spanish language versions. The scale was administered to 232 parents of preschoolers. Results of the CFA revealed that the a priori dimensions of the Familia Inventory were not supported for this sample. Follow-up analyses suggested poor fit both within and between subscales. The scale fit poorly within both English and Spanish, precluding testing of invariance across language. Supplemental analyses using exploratory factor analysis (EFA) on a subset of the items that had adequate variance suggested that a four-factor solution accounting for 53% of the variance best represented the English data and that a two-factor solution accounting for 43% of the variance best represented the Spanish data. Implications are discussed.  相似文献   

7.
The computerization of reading assessments has presented a set of new challenges to test designers. From the vantage point of measurement invariance, test designers must investigate whether the traditionally recognized causes for violating invariance are still a concern in computer-mediated assessments. In addition, it is necessary to understand the technology-related causes of measurement invariance among test-taking populations. In this study, we used the available data (n = 800) from the previous administrations of the Pearson Test of English Academic (PTE Academic) reading, an international test of English comprising 10 test items, to investigate measurement invariance across gender and the Information and Communication Technology Development index (IDI). We conducted a multi-group confirmatory factor analysis (CFA) to assess invariance at four levels: configural, metric, scalar, and structural. Overall, we were able to confirm structural invariance for the PTE Academic, which is a necessary condition for conducting fair assessments. Implications for computer-based education and the assessment of reading are discussed.  相似文献   

8.
Confirmatory factor analytic procedures are routinely implemented to provide evidence of measurement invariance. Current lines of research focus on the accuracy of common analytic steps used in confirmatory factor analysis for invariance testing. However, the few studies that have examined this procedure have done so with perfectly or near perfectly fitting models. In the present study, the authors examined procedures for detecting simulated test structure differences across groups under model misspecification conditions. In particular, they manipulated sample size, number of factors, number of indicators per factor, percentage of a lack of invariance, and model misspecification. Model misspecification was introduced at the factor loading level. They evaluated three criteria for detection of invariance, including the chi-square difference test, the difference in comparative fit index values, and the combination of the two. Results indicate that misspecification was associated with elevated Type I error rates in measurement invariance testing.  相似文献   

9.
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 constructs had the same meaning (factor loadings) but different scales (intercepts). Our conclusion is that comparisons of the relationships between educational achievement and learning attitudes across countries need to take into consideration two sources of variability: individual differences of students and group differences of educational systems. The lack of scalar invariance in EA and LA measures means that the relationships between EA and LA may have a different meaning at the level of nations and at the student level within countries. In other words, as PISA measures are not invariant in scalar sense, the comparisons across countries with nationally aggregated scores are not justified.  相似文献   

10.
Social‐emotional health influences youth developmental trajectories and there is growing interest among educators to measure the social‐emotional health of the students they serve. This study replicated the psychometric characteristics of the Social Emotional Health Survey (SEHS) with a diverse sample of high school students (Grades 9–12; N = 14,171), and determined whether the factor structure was invariant across sociocultural and gender groups. A confirmatory factor analysis (CFA) tested the fit of the previously known factor structure, and then structural equation modeling was used to test invariance across sociocultural and gender groups through multigroup CFAs. Results supported the SEHS measurement model, with full invariance of the SEHS higher‐order structure for all five sociocultural groups. There were no moderate effect size or higher group differences on the overall index for sociocultural or gender groups, which lends support to the eventual development of common norms and universal interpretation guidelines.  相似文献   

11.
The alignment method (Asparouhov & Muthén, 2014) is an alternative to multiple-group factor analysis for estimating measurement models and testing for measurement invariance across groups. Simulation studies evaluating the performance of the alignment for estimating measurement models across groups show promising results for continuous indicators. This simulation study builds on previous research by investigating the performance of the alignment method’s measurement models estimates with polytomous indicators under conditions of systematically increasing, partial measurement invariance. We also present an evaluation of the testing procedure, which has not been the focus of previous simulation studies. Results indicate that the alignment adequately recovers parameter estimates under small and moderate amounts of noninvariance, with issues only arising in extreme conditions. In addition, the statistical tests of invariance were fairly conservative, and had less power for items with more extreme skew. We include recommendations for using the alignment method based on these results.  相似文献   

12.
The effects of levels of aggregation on measures of goodness of fit and higher order parameter estimates obtained from confirmatory factor analysis (CFA) were investigated. For a higher order model of academic self‐concept, 3 levels of aggregation were considered—disaggregated, partially disaggregated, and partially aggregated. In the disaggregated model, measured variables represented individual items. In the partially disaggregated model, testlets (groups of 4 items) represented measured variables. In the partially aggregated model, subscale scores represented measured variables. Three indexes of fit were employed: the Tucker‐Lewis Index (TLI), the Comparative Fit Index (CFI), and chi‐square. Solutions for the disaggregated models consistently evidenced poor fit. TLI and CFI values for partially disaggregated and partially aggregated solutions were satisfactory. Standardized parameter estimates were similar across all solutions. Implications of these findings are discussed with consideration of other research on model complexity in CFA.  相似文献   

13.
Empirical evidence from developed countries suggests that students' commitment to school is fundamental to their academic success. However, in developing countries, validated measures of student commitment to school do not exist. The current study helps fill this research gap by examining the validity and reliability of a commitment-to-school scale (CSS) adapted for the Ghanaian context. With a sample of 6,252 middle school–age students, the study employs exploratory and confirmatory factor analyses with weighted least squares means and variance adjusted (WLSMV) to establish and validate the construct as bidimensional. Measurement invariance tests confirm that the two-factor commitment model is generalizable across grade levels but not genders. Given its parsimony and good fit, the adapted CSS might be useful for future research in Ghana. Similarity of the model across grade levels suggests that the scale has potential uses in education research among diverse groups. We suggest that the CSS be developed further for better understanding of students' commitment to school.  相似文献   

14.
In 1959, Campbell and Fiske introduced the use of multitrait–multimethod (MTMM) matrices in psychology, and for the past 4 decades confirmatory factor analysis (CFA) has commonly been used to analyze MTMM data. However, researchers do not always fit CFA models when MTMM data are available; when CFA modeling is used, multiple models are available that have attendant strengths and weaknesses. In this article, we used a Monte Carlo simulation to investigate the drawbacks of either using CFA models that fail to match the data-generating model or completely ignore the MTMM structure of data when the research goal is to uncover associations between trait constructs and external variables. We then used data from the National Institute of Child Health and Human Development Study of Early Child Care and Youth Development to illustrate the substantive implications of fitting models that partially or completely ignore MTMM data structures. Results from analyses of both simulated and empirical data show noticeable biases when the MTMM data structure is partially or completely neglected.  相似文献   

15.
The purpose of this study was to examine an alternative configuration of the Academic Motivation Scale (AMS), a psychometric instrument used as a measure of academic motivation in various academic environments. The analyses utilised data from a convenience sample of 2354 business students, broken into two random subsamples of 1177 cases. Exploratory factor analysis of the 28 AMS scale items was conducted on the estimation sample. The results indicated good model fit for a four-factor configuration consisting of amotivation, external regulation, identified regulation, and intrinsic motivation as indicated by factor loadings, as well as internal consistency and reliability statistics.

Confirmatory factor analysis was conducted on the holdout sample to independently assess the construct validity and internal consistency of the item loadings on the reconfigured scale. Results indicated good model fit for the four-factor configuration and a significant loss of fit for competing three- and one-factor models. The uncovered factor structure advances our understanding of how the items on this scale cluster into theoretically meaningful constructs. This knowledge may be utilised in research designed to further assess the impact of motivational states on educational outcomes such as academic performance, absenteeism, dropout rates, etc.  相似文献   


16.
A 30-item survey was devised to determine Chinese TEFL (Teaching English as a Foreign Language) academics’ potential for conducting research. A five-part Likert scale was used to gather data from 182 academics on four factors: (1) perceptions on teaching–research nexus, (2) personal perspectives for conducting research, (3) predispositions for conducting research and (4) workplace contexts for conducting research. Data were subjected to confirmatory factor analysis (CFA) for structural equation modelling using various fit indices. The independence model was rejected. Accordingly, the CFA model proposed that the four factors covaried and were associated with each indicated item. The hypothesized CFA model demonstrated an acceptable model fit. After statistical analysis, a revised CFA model presented more reliable fit measures, which required a reduction in survey item numbers. This instrument will require further testing but may be used to draw comparisons between past and present data and determine areas for enhancing research productivity.  相似文献   

17.
With the increasing use of international survey data especially in cross-cultural and multinational studies, establishing measurement invariance (MI) across a large number of groups in a study is essential. Testing MI over many groups is methodologically challenging, however. We identified 5 methods for MI testing across many groups (multiple group confirmatory factor analysis, multilevel confirmatory factor analysis, multilevel factor mixture modeling, Bayesian approximate MI testing, and alignment optimization) and explicated the similarities and differences of these approaches in terms of their conceptual models and statistical procedures. A Monte Carlo study was conducted to investigate the efficacy of the 5 methods in detecting measurement noninvariance across many groups using various fit criteria. Generally, the 5 methods showed reasonable performance in identifying the level of invariance if an appropriate fit criterion was used (e.g., Bayesian information criteron with multilevel factor mixture modeling). Finally, general guidelines in selecting an appropriate method are provided.  相似文献   

18.
This study is a methodological-substantive synergy, demonstrating the power and flexibility of exploratory structural equation modeling (ESEM) methods that integrate confirmatory and exploratory factor analyses (CFA and EFA), as applied to substantively important questions based on multidimentional students' evaluations of university teaching (SETs). For these data, there is a well established ESEM structure but typical CFA models do not fit the data and substantially inflate correlations among the nine SET factors (median rs = .34 for ESEM, .72 for CFA) in a way that undermines discriminant validity and usefulness as diagnostic feedback. A 13-model taxonomy of ESEM measurement invariance is proposed, showing complete invariance (factor loadings, factor correlations, item uniquenesses, item intercepts, latent means) over multiple groups based on the SETs collected in the first and second halves of a 13-year period. Fully latent ESEM growth models that unconfounded measurement error from communality showed almost no linear or quadratic effects over this 13-year period. Latent multiple indicators multiple causes models showed that relations with background variables (workload/difficulty, class size, prior subject interest, expected grades) were small in size and varied systematically for different ESEM SET factors, supporting their discriminant validity and a construct validity interpretation of the relations. A new approach to higher order ESEM was demonstrated, but was not fully appropriate for these data. Based on ESEM methodology, substantively important questions were addressed that could not be appropriately addressed with a traditional CFA approach.  相似文献   

19.
There is an increasing emphasis on the importance of social competence for children's development, well-being, and learning. Thus age- and context-appropriate measures are needed. This study addresses the structural validity of the Lamer Social Competence in Preschool (LSCIP) scale, developed to accommodate the Nordic model of early childhood pedagogy. The authors specify the theoretical basis for a bi-factor model of social competence. This model is tested in a large (n?=?1157), community based sample of Norwegian children, including teacher- (at age 2, 3, and 4), mother- (at age 4), and father- (at age 3) reports. A model with a main factor for social competence, and three bi-factors fit data across ages and reporters, with factorial, but not strong, invariance over time.  相似文献   

20.
This study examined the extent of measurement invariance of the Basic Psychological Needs in Exercise Scale responses (BPNES; Vlachopoulos & Michailidou, 2006) across male (n = 716) and female (n = 1,147) exercise participants. BPNES responses from exercise participants attending private fitness centers (n = 1,012) and community exercise programs (n = 851) were used. The 3-factor BPNES confirmatory factor analysis model, discriminant validity, and scale reliability were supported for both male and female participants separately. The multisample models supported the configural invariance, partial metric invariance, partial measurement error invariance, and partial scalar invariance of the BPNES responses across gender. Both male and female participants attached the same meaning to the constructs assessed by the BPNES items. The BPNES score invariance properties support tests of the needs universality hypothesis offered by self-determination theory across gender in exercise and meaningful comparison of the autonomy, competence, and relatedness construct latent means across gender.  相似文献   

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