Evaluating hierarchical items of the geriatric depression scale through factor analysis and item response theory

Wongpakaran, Nahathai; Wongpakaran, Tinakon; Kuntawong, Pimolpun

doi:10.1016/j.heliyon.2019.e02300

Cited by 26 publications

(37 citation statements)

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“…In addition, factor analysis relies mainly on inter-item correlations. It assumes responses on high correlation item-pairs indicate similarities in the latent trait, which might be misleading due to some confusions, such as the similarity of wording [ 29 ].…”

Section: Introductionmentioning

confidence: 99%

A Mokken scale analysis of the Kessler-6 screening measure among Chinese older population: findings from a national survey

Zhang

2020

BMC Geriatr

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Background The aging population increases rapidly across the world. Timely and effective screening of their mental-health problems is important to individuals, families, and the whole society. The Kessler-6 screening measure (K6) is a very popular instrument for non-specific psychological distress. However, few studies have focused on the psychometric properties of this instrument in the older population. Methods The present study employed Mokken scale analysis to evaluate its dimensionality and structure. This study also used differential item functioning (DIF) to examine whether the same structure existed across sex in a national representative sample of old Chinese people. Data were drawn from a public data set, the 2010 China Family Panel Studies (CFPS2010), and responses from a total of 6450 participants aged 60 years old and above (3136 males and 3314 females) were included in the final analysis. Results Mokken scale analysis supported the unidimensional structure of the K6. Differential item functioning (DIF) analysis revealed that two of the six items (“Hopeless” and “Everything was an effort”) were marked for DIF based on the Chi-square. However, their impacts were negligible in terms of McFadden’s pseudo R2. Conclusions The K6 demonstrates adequate psychometric properties in the old Chinese population. The sum of all six items can be used as an indicator of non-specific psychological distress. Differences in the indicator across sex should be considered as a real difference in psychological distress between the female and the male.

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Section: Introductionmentioning

confidence: 99%

A Mokken scale analysis of the Kessler-6 screening measure among Chinese older population: findings from a national survey

Zhang

2020

BMC Geriatr

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“…Why "Everything was an effort" loads on the same factor with "Hopeless" and "Worthless" rather than "Anxiety" or "nervous". Factor analysis greatly depends on inter-item correlations, which may result in forming a scale in terms of insigni cant factors (e.g., the similarity of wording) rather substantial relationship in the construct [29]. According to traditional indexes to determine factor numbers in EFA (eigenvalues greater than one, scree plot, and parallel analysis), the one-factor solution seemed to be more reasonable.…”

Section: Discussionmentioning

confidence: 99%

“…Additional exploratory factor analysis and con rmatory factor analysis Moreover, we conducted exploratory factor analyses and con rmatory factor analyses to examine factor structure of this scale using the Mplus 7.4. Due to the ordinal nature of the scale, we used weighted least squares with correction to means and variances (WLSMV) as the estimation method [29]. For the EFA, eigenvalues greater than one, scree plot, and parallel analysis were employed to determine the number of factors [38].…”

Section: Examining Measurement Invariancementioning

confidence: 99%

“…Traditional factor analysis assumes a linear relation between items and latent construct under Classic Test Theory, and often suffers distortion from item-score distribution. In addition, factor analysis relies mainly on inter-item correlations and assumes responses on high correlation item-pairs indicate similarities in the latent trait, which might be misleading due to some confusions, such as the similarity of wording [29].…”

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A Mokken Scale Analysis of the Kessler-6 Screening Measure among Chinese Older Population: Findings from a national survey

Zhang

2020

Preprint

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BackgroundThe aging population increases rapidly across the world. Timely and effective screening of their mental health problems is important to individuals, families, and the whole society. The Kessler-6 screening measure (K6) is a very popular instrument for non-specific psychological distress. However, few studies have focused on the psychometric properties of this instrument in the older population.MethodsThe present study employed Mokken scale analysis to evaluate its dimensionality and structure, and used differential item functioning (DIF) to examine whether the same structure existed across sex in a national representative sample of old Chinese people. Data were drawn from a public data set, the 2010 China Family Panel Studies (CFPS2010), and responses from a total of 6450 participants aged 60 years old and above (3136 males and 3314 females) were included in the final analysis.ResultsMokken scale analysis supported the unidimensional structure of the K6. Differential item functioning (DIF) analysis revealed that two of the six items ("Hopeless" and "Everything was an effort") were marked for DIF based on the Chi-square. However, their impacts were negligible in terms of McFadden's pseudo R 2.ConclusionsThe K6 demonstrates adequate psychometric properties in the old Chinese population. The sum of all six items can be used as an indicator of non-specific psychological distress. Differences in the indicator across sex should be considered as a real difference in psychological distress between the female and the male.

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“…T-SCID-II is a structured clinical interview for personality disorder that has been used to diagnose personality disorders based on DSM-IV and DSM-IV TR [36]. The Thai version demonstrated a promising interrater reliability of ≥0.8 [37,38]. In this study, only the BPD section was used.…”

Section: Thai Version Of Structured Clinical Interview For Dsm-iv Aximentioning

confidence: 99%

Development and Validation of a Screening Instrument for Borderline Personality Disorder (SI-Bord) for Use among University Students

Lohanan

Leesawat

Wongpakaran

et al. 2020

Preprint

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Background: The screening instrument for borderline personality disorder (SI-Bord) consists of a 5-item self-reported questionnaire on the key features of BPD from the DSM-5 using a 5-point Likert scale. This study investigated its validity and reliability in screening for BPD in university students. Methods: A cross-sectional study was conducted on a sample of university students in Thailand between November and December 2019. An online assessment gathered demographic data and results from the SI-Bord, the Perceived Stress Scale-10 (PSS-10) and the Patient Health Questionnaire-9 (PHQ-9). Participants whose SI-Bord scores were ≥ 1 were randomly selected to be interviewed and assessed for a BPD diagnosis by four psychiatrists using the Structured Clinical Interview for DSM-IV Axis II Personality Disorders (SCID-II) as a reference point. An intraclass correlation coefficient (ICC) of 0.925 (95% CI, 0.805–0.979) ensured inter-rater reliability between the four psychiatrists. The diagnostic sensitivity and specificity of the SI-Bord, as compared to that of the SCID-II, were determined to indicate the cut-off score. The Receiver Operating Characteristics (ROC) was analyzed to evaluate its diagnostic accuracy.Results: The study included 342 students aged 18–25 years (the mean age was 20.25 ± 1.4 years), 80.4% of whom were female. Among the 68 participants selected for an online interview, 16 were diagnosed with BPD. The cut-off score of the SI-Bord was > 9, as suggested by the Youden index, yielding a sensitivity of 56.3% and a specificity of 92.3%. It had a positive predictive value of 69.2% and negative predictive value of 87.3%. The SI-Bord had adequate discriminative power between cases and non-cases of BPD, with the area under the ROC curve being 0.83. Cronbach’s alpha for the SI-Bord was 0.76, indicating acceptable internal consistency. The SI-Bord score was positively correlated to PHQ-9 and PSS-10 scores (r = 0.67 and r = 0.69, p < 0.001, respectively) and negatively correlated to MSPSS (r = - 0.50, p < 0.001). The prevalence of BPD in the sample was 6.4%, according to the cut-off score > 9. Conclusion: The SI-Bord demonstrated good reliability and validity for screening BPD in university students. However, a study in non-Thai and other population groups should be warranted.

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Evaluating hierarchical items of the geriatric depression scale through factor analysis and item response theory

Cited by 26 publications

References 50 publications

A Mokken scale analysis of the Kessler-6 screening measure among Chinese older population: findings from a national survey

A Mokken scale analysis of the Kessler-6 screening measure among Chinese older population: findings from a national survey

A Mokken Scale Analysis of the Kessler-6 Screening Measure among Chinese Older Population: Findings from a national survey

Development and Validation of a Screening Instrument for Borderline Personality Disorder (SI-Bord) for Use among University Students

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