Psychometric Properties of the Course Interest Survey (CIS) : A Confirmatory Factor Analysis

This study aims to evaluate the psychometric properties of the Indonesian version of the CIS using Confirmatory Factor Analysis (CFA). This research used an analytical approach and psychometric methods. Participants comprised 112 high school students aged 15 to 17 in Pekanbaru, Indonesia. CIS consists of 34 statement items with four subscales: attention, relevance, confidence, and satisfaction. Data analysis in Confirmatory Factor Analysis was carried out through Mplus 8.11 and SmartPLS. The results showed that CIS performed well on all psychometric indicators: CFI, TLI, RMSEA, outer loading, and AVE. The RMSEA value is 0.107 > 0.08, the CFI value is 0.710 < 0.90, the TLI value is 0.689 < 0.90, and the SRMR value is 0.098 > 0.08. All items and subscales in the motivation variable are valid with outer loading item values > 0.7 and AVE values > 0.5. Based on CFI and TLI, the CIS model is a good fit and can be accepted. Furthermore, the four dimensions or subscales of the CIS—namely, attention, relevance, confidence, and satisfaction—demonstrate adequate psychometric properties. Based on the findings of this study, it can be concluded that the Indonesian version of the CIS is a valid, reliable, and robust instrument for assessing motivation. The implication of this research is that educators can assess student motivation using the CIS instrument because it has been proven to be able to measure elements of motivation.

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Publication Details

Journal
Jurnal Kependidikan Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan Pengajaran dan Pembelajaran
Published
2024-12-21
DOI
https://doi.org/10.33394/jk.v10i4.13420
Primary Topic
Healthcare Education and Workforce Issues
Type
article
Field-Weighted Citation Impact
0.00

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article

Psychometric Properties of the Course Interest Survey (CIS) : A Confirmatory Factor Analysis

Rini Dwi Lestari, Nurkhairo Hidayati, Mellisa Mellisa, Leni Armayati et al.
Jurnal Kependidikan Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan Pengajaran dan Pembelajaran
Healthcare Education and Workforce Issues
article

Psychometric Properties of the Course Interest Survey (CIS) : A Confirmatory Factor Analysis

Rini Dwi Lestari, Nurkhairo Hidayati, Mellisa Mellisa, Leni Armayati, Lala Oktaviani
article en

Abstract

This study aims to evaluate the psychometric properties of the Indonesian version of the CIS using Confirmatory Factor Analysis (CFA). This research used an analytical approach and psychometric methods. Participants comprised 112 high school students aged 15 to 17 in Pekanbaru, Indonesia. CIS consists of 34 statement items with four subscales: attention, relevance, confidence, and satisfaction. Data analysis in Confirmatory Factor Analysis was carried out through Mplus 8.11 and SmartPLS. The results showed that CIS performed well on all psychometric indicators: CFI, TLI, RMSEA, outer loading, and AVE. The RMSEA value is 0.107 > 0.08, the CFI value is 0.710 < 0.90, the TLI value is 0.689 < 0.90, and the SRMR value is 0.098 > 0.08. All items and subscales in the motivation variable are valid with outer loading item values > 0.7 and AVE values > 0.5. Based on CFI and TLI, the CIS model is a good fit and can be accepted. Furthermore, the four dimensions or subscales of the CIS—namely, attention, relevance, confidence, and satisfaction—demonstrate adequate psychometric properties. Based on the findings of this study, it can be concluded that the Indonesian version of the CIS is a valid, reliable, and robust instrument for assessing motivation. The implication of this research is that educators can assess student motivation using the CIS instrument because it has been proven to be able to measure elements of motivation.

Jurnal Kependidikan Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan Pengajaran dan PembelajaranVol. 10(4)
Islamic University of Riau (ID)
Universitas Islam Riau, University of Oxford, Ministry of Education, India, Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi
Quality Education
Openalex Percentile: Top 46%
Healthcare Education and Workforce Issues
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