Application of the Rasch model in streamlining an instrument measuring depression among college students

Sherwin Balbuena

Makale detayları

Application of the Rasch model in streamlining an instrument measuring depression among college students

Yazarlar:

Sherwin Balbuena

Yayıncı:

İzzet KARA

Ana Başlıklar:

Psychological Methodology | Design and Analysis | Other Fields of Education

Dergi:

International Journal of Assessment Tools in Education Vol.10 Issue 2, pp.257-278

Belge Tipi:

Makale

Yayın Tarihi:

6/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001290439

pISSN:

2148-7456

Anahtar kelimeler:

Özet:

 Depression is a latent characteristic that is measured through self-reported or clinician-mediated instruments such as scales and inventories. The Precision of depression estimates largely depends on the validity of the items used and on the truthfulness of people responding to these items. The existing methodology in instrumentation based on a factor-analytic approach has limited applicability, especially in the detection of sources of measurement error in item- and person-level analyses. While there are probabilistic approaches such as the use of Item Response Theory and the Rasch model in validating instruments, there are no definite guidelines on the sequence of steps to follow. This study explored the suitability of the Rasch model in assessing and streamlining the University Student Depression Inventory USDI using a sequential strategy based on the item response model assumptions, which involves fitting the data to the model through the elimination of misfits, analyzing retained items, and constructing measures. The strategy was applied to two sets of survey data collected from the same population of college students enrolled in a Philippine university but in different semesters. Results showed that the Rasch procedure was able to detect misfit items and persons, which guided decisions regarding the removal of problematic items and persons while preserving the reliability of the original scale. The methodology used was found to be replicable, as the analyses for the two datasets yielded comparable results in terms of number of items retained, item estimates and severity ordering, and distribution of student depression measures.

 Depression is a latent characteristic that is measured through self-reported or clinician-mediated instruments such as scales and inventories. The Precision of depression estimates largely depends on the validity of the items used and on the truthfulness of people responding to these items. The existing methodology in instrumentation based on a factor-analytic approach has limited applicability, especially in the detection of sources of measurement error in item- and person-level analyses. While there are probabilistic approaches such as the use of Item Response Theory and the Rasch model in validating instruments, there are no definite guidelines on the sequence of steps to follow. This study explored the suitability of the Rasch model in assessing and streamlining the University Student Depression Inventory USDI using a sequential strategy based on the item response model assumptions, which involves fitting the data to the model through the elimination of misfits, analyzing retained items, and constructing measures. The strategy was applied to two sets of survey data collected from the same population of college students enrolled in a Philippine university but in different semesters. Results showed that the Rasch procedure was able to detect misfit items and persons, which guided decisions regarding the removal of problematic items and persons while preserving the reliability of the original scale. The methodology used was found to be replicable, as the analyses for the two datasets yielded comparable results in terms of number of items retained, item estimates and severity ordering, and distribution of student depression measures.

 Depression is a latent characteristic that is measured through self-reported or clinician-mediated instruments such as scales and inventories. The Precision of depression estimates largely depends on the validity of the items used and on the truthfulness of people responding to these items. The existing methodology in instrumentation based on a factor-analytic approach has limited applicability, especially in the detection of sources of measurement error in item- and person-level analyses. While there are probabilistic approaches such as the use of Item Response Theory and the Rasch model in validating instruments, there are no definite guidelines on the sequence of steps to follow. This study explored the suitability of the Rasch model in assessing and streamlining the University Student Depression Inventory USDI using a sequential strategy based on the item response model assumptions, which involves fitting the data to the model through the elimination of misfits, analyzing retained items, and constructing measures. The strategy was applied to two sets of survey data collected from the same population of college students enrolled in a Philippine university but in different semesters. Results showed that the Rasch procedure was able to detect misfit items and persons, which guided decisions regarding the removal of problematic items and persons while preserving the reliability of the original scale. The methodology used was found to be replicable, as the analyses for the two datasets yielded comparable results in terms of number of items retained, item estimates and severity ordering, and distribution of student depression measures.

 Depression is a latent characteristic that is measured through self-reported or clinician-mediated instruments such as scales and inventories. The Precision of depression estimates largely depends on the validity of the items used and on the truthfulness of people responding to these items. The existing methodology in instrumentation based on a factor-analytic approach has limited applicability, especially in the detection of sources of measurement error in item- and person-level analyses. While there are probabilistic approaches such as the use of Item Response Theory and the Rasch model in validating instruments, there are no definite guidelines on the sequence of steps to follow. This study explored the suitability of the Rasch model in assessing and streamlining the University Student Depression Inventory USDI using a sequential strategy based on the item response model assumptions, which involves fitting the data to the model through the elimination of misfits, analyzing retained items, and constructing measures. The strategy was applied to two sets of survey data collected from the same population of college students enrolled in a Philippine university but in different semesters. Results showed that the Rasch procedure was able to detect misfit items and persons, which guided decisions regarding the removal of problematic items and persons while preserving the reliability of the original scale. The methodology used was found to be replicable, as the analyses for the two datasets yielded comparable results in terms of number of items retained, item estimates and severity ordering, and distribution of student depression measures.

Makale detayları

Application of the Rasch model in streamlining an instrument measuring depression among college students

Yazarlar:

Sherwin Balbuena

Yayıncı:

İzzet KARA

Ana Başlıklar:

Psychological Methodology | Design and Analysis | Other Fields of Education

Dergi:

International Journal of Assessment Tools in Education Vol.10 Issue 2, pp.257-278

Belge Tipi:

Makale

Yayın Tarihi:

6/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001290439

pISSN:

2148-7456

Rasch

depression

precision

measurement

USDIRasch

depression

precision

measurement

USDI

Sayı

Makale detayları

Yazarlar: Sherwin Balbuena

Yayıncı: İzzet KARA

Ana Başlıklar: Psychological Methodology | Design and Analysis | Other Fields of Education

Dergi: International Journal of Assessment Tools in Education Vol.10 Issue 2, pp.257-278

Belge Tipi: Makale

Yayın Tarihi: 6/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001290439

pISSN: 2148-7456

Sayı

Yazarlar:

Sherwin Balbuena

Yayıncı:

İzzet KARA

Ana Başlıklar:

Psychological Methodology | Design and Analysis | Other Fields of Education

Dergi:

International Journal of Assessment Tools in Education Vol.10 Issue 2, pp.257-278

Belge Tipi:

Makale

Yayın Tarihi:

6/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001290439

pISSN:

2148-7456