Farklı Yöntemlerle Ölçme Değişmezliğinin İncelenmesi: Pisa 2012 Örneği

Yandı, Alperen; Köse, İbrahim Alper; Uysal, Ömür

doi:10.17860/mersinefd.305952

Cited by 12 publications

(6 citation statements)

References 10 publications

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“…Generally, the configural invariance is provided in studies where full measurement invariance is tested. This and other studies show that when the cultural differences increase, the measurement invariance is impaired (Asil & Gelbal, 2012;Ercikan & Koh, 2005;Kıbrıslıoğlu, 2015;Yandı, Köse & Uysal, 2017). In these studies, pairwise comparisons of the groups predicted to reflect cultural differences made by the researchers.…”

Section: Discussionmentioning

confidence: 81%

Measurement Invariance Testing with Alignment Method: Many Groups Comparison

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Uyumaz

Yandı

2020

International Journal of Assessment Tools in Education

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It is necessary to examine the measurement invariance (MI) among groups in studies where different groups are compared by using a measurement instrument. Most of the studies, measurement invariance is tested with multiple group confirmatory factor analysis. This model applies many model adjustments based on the modification indexes. Therefore, it is not practical due to too many large modification indexes while testing MI over many groups. Besides scalar model is a poor model fit when comparing many groups and so does not hold MI. In this study, the aim is to explain the basic concepts and processes of the alignment method which is offered as a new method for testing MI and illustrate an application on the real data set. In this study, measurement invariance among 56 countries including Turkey is tested with alignment method in order to set an example for researchers. For this purpose, the Instrumental Motivation Scale data, which is one of the psychological measurement instruments used in PISA 2015, was used. As a result of MG-CFA, it was found that configural invariance was ensured. The fit indexes of CFI and TLI were calculated as 0.982 and 0.946 respectively in this stage. After that, metric invariance was tested by considering the difference of fit indices obtained for the two stages. It was found that the metric invariance could not be provided. Alignment results show which countries hold MI and which do not. Besides it provides information which items have the most invariants for groups that hold MI.

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Section: Discussionmentioning

confidence: 81%

Measurement Invariance Testing with Alignment Method: Many Groups Comparison

Sırgancı

Uyumaz

Yandı

2020

International Journal of Assessment Tools in Education

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“…Bu yönüyle bu çalışmanın ilk olma özelliği taşıdığı ileri sürülebilir. Ayrıca literatür incelendiğinde ölçme değişmezliği ve değişen madde fonksiyonu çalışmalarının (Gök, Kelecioğlu & Doğan, 2010;Odabaşı, 2019;Yandı, Köse & Uysal, 2017) çoğunlukla bilişsel testlere odaklandığı görülmektedir. Bu çalışmada, duyuşsal bir özelliği ölçen toplumsal cinsiyet eşitsizliği alt ölçeği ele alınmıştır.…”

Section: Araştırmanın öNemiunclassified

Dünya Değerler Araştirmasi Toplumsal Ci̇nsi̇yet Eşi̇tsi̇zli̇ği̇ Alt Ölçeği̇ni̇n Türki̇ye, İngi̇ltere Ve Hollanda Örneklemleri̇nde Ölçme Deği̇şmezli̇ği̇ Ve Deği̇şen Madde Fonksi̇yonunun İncelenmesi̇

Yıldırım¹,

ERDEMİR²

2023

ASOS

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This research was conducted so as to find out whether measurement invariance is established for the gender inequality subscale in the World Values Survey among the subsamples of Turkey, Great Britain and the Netherlands, and whether the items in this subscale show differential item functioning among these three samples. The sample includes three subsamples, namely Turkish, British and Dutch samples, which participated in the seventh cycle of the World Values Survey. The gender inequality subscale of the World Values Survey is the measure of this research. So as to test the dimensionality of the relevant subscale, confirmatory factor analysis was conducted and the uni-dimensional structure of the subscale was confirmed. In order to reveal whether the gender inequality subscale shows measurement invariance among subsamples, multi-group confirmatory factor analysis was conducted and measurement invariance was established at configural level for Turkish-British samples while metric invariance was established both for Turkish-Dutch samples and and Dutch-British samples. According to the findings of the SIBTEST and likelihood ratio test, which were carried out to reveal whether the items in the gender inequality subscale operate differentially among these three samples; it has been revealed that two items operate differentially across Turkish and British samples; two items operate differentially across Turkish and Dutch samples, and finally five items operate differentially between Dutch and British samples. According to these results, it might be suggested to be more careful while making cross-cultural comparisons among these samples based on the gender inequality subscale in the World Values Survey.

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“…However, the most important feature sought in a measurement tool is validity and validity evidence. Therefore, accurate evidence on the validity of the scores obtained from measurement tools also necessitates measurement invariance studies (Yandı, Köse& Uysal, 2017). Different definitions of measurement invariance can be found in the literature.…”

Section: Measurement Invariancementioning

confidence: 99%

Investigation of measurement invariance of PISA 2015 collaborative problem solving skills Turkey, Norway, Singapore

Tekin

Aktan

2021

International Journal of Assessment Tools in Education

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The purpose of this research is to examine measurement invariance of collaborative problem solving skills measured by PISA 2015 Xandar subtest for Singapore, Norway, and Turkey. The research was conducted with 2990 participants' data obtained from Turkey (1032), Norway (923), and Singapore (1035) on PISA 2015 collaborative problem solving study. In the first part of the study, exploratory factor analysis was performed to obtain the factor structure of the Xandar subtest. Then, the model data fit was checked by confirmatory factor analysis via   / df (3.127), RMSEA (0.027), CFI (0.987) and TLI (0.979) values. Multi-group confirmatory factor analysis was used in invariance analyses. The findings show that the collaborative problem solving model met only configural invariance across the countries and has not met the metric, scale, and strict invariance stages. The results show that meaningful comparisons cannot be made between the countries, because the factor loadings, variances, error variances, and covariances differ among countries.

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Farklı Yöntemlerle Ölçme Değişmezliğinin İncelenmesi: Pisa 2012 Örneği

Cited by 12 publications

References 10 publications

Measurement Invariance Testing with Alignment Method: Many Groups Comparison

Measurement Invariance Testing with Alignment Method: Many Groups Comparison

Dünya Değerler Araştirmasi Toplumsal Ci̇nsi̇yet Eşi̇tsi̇zli̇ği̇ Alt Ölçeği̇ni̇n Türki̇ye, İngi̇ltere Ve Hollanda Örneklemleri̇nde Ölçme Deği̇şmezli̇ği̇ Ve Deği̇şen Madde Fonksi̇yonunun İncelenmesi̇

Investigation of measurement invariance of PISA 2015 collaborative problem solving skills Turkey, Norway, Singapore

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