Measurement Invariance of Science Self-Efficacy Scale in PISA

Uysal, Nermin Kıbrıslıoğlu; Arıkan, Çiğdem

doi:10.21449/ijate.379508

Cited by 4 publications

(1 citation statement)

References 25 publications

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“…For the EW5M model, two items have been documented as responsible for the lack of residual invariance, i.e., item 29 and item 2. However, as a highly constrained model, strict invariance is rarely held in practice [73].…”

Section: B the Stability Of Latent Constructs Measured By Fci And Csmentioning

confidence: 99%

Assessing the longitudinal measurement invariance of the Force Concept Inventory and the Conceptual Survey of Electricity and Magnetism

Xiao

Han

et al. 2020

Phys. Rev. Phys. Educ. Res.

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Concept inventories (CIs) are commonly used in pre-post instruction to study student conceptual change. For consistency in assessment interpretation, a CI's assessment construct is desired to maintain invariance across different test times. In this study, the longitudinal measurement invariance (LMI) analysis under the confirmatory factor analysis framework was used to examine the stability of the factor structure between pretest and post-test of two commonly used CIs, i.e., the Force Concept Inventory (FCI) and Conceptual Survey of Electricity and Magnetism (CSEM). A number of existing and modified models were examined in this paper. The results confirmed that all factor models of the FCI fitted well with both pre-and post-test data. For CSEM, acceptable fits were obtained with a reduced version of the CI. When reliability analysis was performed for the factors of these models, most modified models were found to be more reliable than the existing models. The modified models were further tested in LMI analysis, in which a sequence of models with increasingly restrictive parameter constraints was examined. For the FCI, LMI analysis demonstrated the existence of partial strict invariance, i.e., common factor structures, factor loadings, and item thresholds, and equally observed residual variances for all the items except items 2 and 29. For the CSEM, after excluding 10 items, a reduced version was found to hold the strict invariance criteria. These findings reveal that changes in scores of the whole FCI and the reduced CSEM can be attributed to changes in the latent constructs measured by the CIs, which confirms these two CIs as reliable instruments to study students' conceptual change over time in introductory physics courses.

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Section: B the Stability Of Latent Constructs Measured By Fci And Csmentioning

confidence: 99%

Assessing the longitudinal measurement invariance of the Force Concept Inventory and the Conceptual Survey of Electricity and Magnetism

Xiao

Han

et al. 2020

Phys. Rev. Phys. Educ. Res.

View full text Add to dashboard Cite

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‘I don’t find it hard!’ They defied the gendered norm in science!

Mwang’ombe

Mwingi

2023

International Journal of Science Education

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Investigation of Measurement Invariance of Science Motivation and Self-Efficacy Model: PISA 2015 Turkey Sample

Güngör¹,

Kabasakal

2020

International Journal of Assessment Tools in Education

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Measurement invariance analyses are carried out in order to find evidence for the structural validity of the measurement tools used in the field of educational sciences and psychology. The purpose of this research is to examine the measurement invariance of Science Motivation and Self-Efficacy Model constructed by Instrumental Motivation to Learn Science and Science Self-Efficacy subscales found in the PISA 2015 Student Questionnaire across different groups in the Turkish sample survey. The analysis was carried out with the data obtained from 4583 students that met the analysis assumptions. The measurement invariance of the model in terms of gender and statistical regional groups was examined by the structural equation modeling (SEM) technique. Firstly, the data was examined to determine whether the assumptions for the analyses were met. Then, measurement models were verified by performing confirmatory factor analysis (CFA). The measurement invariance across genders and statistical regions was tested by multi-group confirmatory factor analysis (MGCFA). Unweighted Least Squares (ULS) method was used as the estimation method in CFA and MGCFA stages. In order to make final decisions about the stage of measurement invariance models hold, Comparative Fit Index (CFI) was used. The results of the study show that the research model ensures all stages of invariance across gender groups and regions. Science Motivation and Self-Efficacy Model illustrates that it is valid to make comparisons between scores of male and female students or students from different regions of Turkey. According to the findings, the research model could provide complete measurement invariance.

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Measurement Invariance of Science Self-Efficacy Scale in PISA

Cited by 4 publications

References 25 publications

Assessing the longitudinal measurement invariance of the Force Concept Inventory and the Conceptual Survey of Electricity and Magnetism

Assessing the longitudinal measurement invariance of the Force Concept Inventory and the Conceptual Survey of Electricity and Magnetism

‘I don’t find it hard!’ They defied the gendered norm in science!

Investigation of Measurement Invariance of Science Motivation and Self-Efficacy Model: PISA 2015 Turkey Sample

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