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The Multidimensional Test Anxiety Scale : = A Latent Profile Analysis and an Examination of Measurement Invariance.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The Multidimensional Test Anxiety Scale :/
其他題名:
A Latent Profile Analysis and an Examination of Measurement Invariance.
作者:
Francis, Gabrielle.
面頁冊數:
1 online resource (81 pages)
附註:
Source: Masters Abstracts International, Volume: 84-01.
Contained By:
Masters Abstracts International84-01.
標題:
Educational tests & measurements. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29212072click for full text (PQDT)
ISBN:
9798834043263
The Multidimensional Test Anxiety Scale : = A Latent Profile Analysis and an Examination of Measurement Invariance.
Francis, Gabrielle.
The Multidimensional Test Anxiety Scale :
A Latent Profile Analysis and an Examination of Measurement Invariance. - 1 online resource (81 pages)
Source: Masters Abstracts International, Volume: 84-01.
Thesis (Ed.S.)--University of South Florida, 2024.
Includes bibliographical references
Standardized testing is an integral part of the English and American education systems. The objectives of these tests are to evaluate students, teachers, and schools. However, this evaluation has unintended consequences, one of which is test anxiety. Over the last 50 years, there has been an increase in studies on test anxiety because of the widespread use of standardized tests (Hembree, 1988; von der Embse et al., 2019). However, two areas that have seen little attention are the measurement invariance of test anxiety scales across demographic groups, and the creation of classification standards for these test anxiety scales to increase usability. Examining measurement invariance is needed to determine if assessments measure the same constructs across groups. The lack of research in this area makes it unclear whether groups truly differ in severity of test anxiety or if the measurement tools themselves are flawed. Additionally, many test anxiety instruments are created for research rather than practice and lack evidence for classification standards or cut scores. This study seeks to address these limitations by examining the MTAS for measurement invariance across gender, age, and socio-economic status and by examining the differences between cluster groups identified through a Latent Cluster Analysis. The data used in this study was collected in the 2019 - 2020 school year from 918 students attending secondary school in England. The analyses that will be completed are a Confirmatory Factor Analysis to determine measurement invariance and a Latent Profile Analysis to determine classifications.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9798834043263Subjects--Topical Terms:
3168483
Educational tests & measurements.
Subjects--Index Terms:
Cut scoresIndex Terms--Genre/Form:
542853
Electronic books.
The Multidimensional Test Anxiety Scale : = A Latent Profile Analysis and an Examination of Measurement Invariance.
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Standardized testing is an integral part of the English and American education systems. The objectives of these tests are to evaluate students, teachers, and schools. However, this evaluation has unintended consequences, one of which is test anxiety. Over the last 50 years, there has been an increase in studies on test anxiety because of the widespread use of standardized tests (Hembree, 1988; von der Embse et al., 2019). However, two areas that have seen little attention are the measurement invariance of test anxiety scales across demographic groups, and the creation of classification standards for these test anxiety scales to increase usability. Examining measurement invariance is needed to determine if assessments measure the same constructs across groups. The lack of research in this area makes it unclear whether groups truly differ in severity of test anxiety or if the measurement tools themselves are flawed. Additionally, many test anxiety instruments are created for research rather than practice and lack evidence for classification standards or cut scores. This study seeks to address these limitations by examining the MTAS for measurement invariance across gender, age, and socio-economic status and by examining the differences between cluster groups identified through a Latent Cluster Analysis. The data used in this study was collected in the 2019 - 2020 school year from 918 students attending secondary school in England. The analyses that will be completed are a Confirmatory Factor Analysis to determine measurement invariance and a Latent Profile Analysis to determine classifications.
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