Logowanie
Zarejestruj się
Zresetuj hasło
Publikuj i Dystrybuuj
Rozwiązania Wydawnicze
Rozwiązania Dystrybucyjne
Dziedziny
Architektura i projektowanie
Bibliotekoznawstwo i bibliologia
Biznes i ekonomia
Chemia
Chemia przemysłowa
Filozofia
Fizyka
Historia
Informatyka
Inżynieria
Inżynieria materiałowa
Językoznawstwo i semiotyka
Kulturoznawstwo
Literatura
Matematyka
Medycyna
Muzyka
Nauki farmaceutyczne
Nauki klasyczne i starożytne studia bliskowschodnie
Nauki o Ziemi
Nauki o organizmach żywych
Nauki społeczne
Prawo
Sport i rekreacja
Studia judaistyczne
Sztuka
Teologia i religia
Zagadnienia ogólne
Publikacje
Czasopisma
Książki
Materiały konferencyjne
Wydawcy
Blog
Kontakt
Wyszukiwanie
EUR
USD
GBP
Polski
English
Deutsch
Polski
Español
Français
Italiano
Koszyk
Home
Czasopisma
Global Psychiatry
Tom 2 (2019): Zeszyt 2 (November 2019)
Otwarty dostęp
Psychometric properties of the Bangla version of the Kessler Psychological Distress Scale (K6)
Asaduzzaman Khan
Asaduzzaman Khan
,
Riaz Uddin
Riaz Uddin
,
Naznin Alam
Naznin Alam
,
Shuhana Sultana
Shuhana Sultana
,
Mahbub-Ul Alam
Mahbub-Ul Alam
oraz
Rushdiá Ahmed
Rushdiá Ahmed
| 04 wrz 2019
Global Psychiatry
Tom 2 (2019): Zeszyt 2 (November 2019)
O artykule
Poprzedni artykuł
Następny artykuł
Abstrakt
Artykuł
Ilustracje i tabele
Referencje
Autorzy
Artykuły w tym zeszycie
Podgląd
PDF
Zacytuj
Udostępnij
Data publikacji:
04 wrz 2019
Zakres stron:
183 - 194
Otrzymano:
24 cze 2019
Przyjęty:
30 lip 2019
DOI:
https://doi.org/10.2478/gp-2019-0016
Słowa kluczowe
Kessler 6
,
psychological distress
,
mental health
,
reliability
,
Bengali
,
Bangla
,
Bangladesh
© 2019 Asaduzzaman Khan et al.. published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Figure 1
The best fitted model, with standardized estimates, based on the results of confirmatory factor analysis of the items of Bangla K6 at time 1 (n = 718)Note: Oval represents the latent construct or factor; rectangle represents the items; and small circle represents the relevant error terms. Item loadings are interpreted as correlation between the items and the construct, and ranged from 0.53 (item 6) to 0.68 (item 4).Goodness-of-fit indices of CFA on the Bangla K6 items at time 1 were:- Chi-square test: Chi-sq (7) = 7.92, p = 0.34 suggests a good fit;- Tucker Lewis Index (TLI) = 0.997 > 0.95 suggests an excellent fit;- Comparative Fit Index (CFI) = 0.996 > 0.95 suggests an excellent fit;- Root Mean Square Error of Approximation (RMSEA) = 0.014 < 0.05 suggests an excellent fit;- Standardized Root Mean Square Residual (SRMR) = 0.012 < 0.05 suggests a good fit.
Figure 2
The best fitted model, with standardized estimates, based on the results of confirmatory factor analysis of the items of Bangla K6 at time 2 (n = 715)Note: Oval represents the latent construct or factor; rectangle represents the items; and small circle represents the relevant error terms. Item loadings are interpreted as correlation between the items and the construct, and ranged from 0.57 (item 6) to 0.70 (item 4).Goodness-of-fit indices of CFA on the Bangla K6 items at time 2 were:- Chi-square test: Chi-sq (7) = 9.97, p = 0.13 suggests a good fit;- Tucker Lewis Index (TLI) = 0.992 > 0.95 suggests an excellent fit;- Comparative Fit Index (CFI) = 0.997 > 0.95 suggests an excellent fit;- Root Mean Square Error of Approximation (RMSEA) = 0.03 < 0.05 suggests an excellent fit;- Standardized Root Mean Square Residual (SRMR) = 0.014 < 0.05 suggests a good fit.
Figure 3
Bland-Altman plot of the Bangla K6 between test and retest sessionsNote: Differences between test and retest sessions were plotted against the average of the two sessions for each participant. It plots average measures of the two test sessions (x-axis) against difference between test and retest measures (y-axis). The centre line represents mean of differences, while the upper and lower lines indicate 95% limits of agreement (LOA).- Narrow LOAs suggest that the test-retest measures essentially equivalent, while wide LOAs suggest that the measures are ambiguous.- If the variability in measurements is consistent across the plot without any particular pattern or trend, then it is an indication of homoscedasticity. If the difference gets larger as the average gets larger, it suggests the presence of heteroscedasticity.
Figure 4
ROC-curves for the Bangla K6 predicting depressive symptoms for students of schools (#1) and universities (#2) at time 1 (CES-D-10 as the reference criterion)Note: The area under the ROC curve (AUC) shows how well a test can distinguish between two diagnostic groups (positive/negative).- The closer the curve follows the left-hand border and then the top border of the ROC space, the more accurate the test.- An AUC of 0.50 suggests that the Bangla K6 is no better than chance at predicting depressive symptoms, whereas an AUC of 1.0 would indicate that the Bangla K6 predicts depressive symptoms perfectly.- AUC = 0.82 for school students and AUC = 0.80 for university students represent good prediction of depressive symptoms at time 1.
Figure 5
ROC-curves for the Bangla K6 predicting depressive symptoms for students of schools (#1) and universities (#2) at time 2 (CES-D-10 as the reference criterion)Note: The area under the ROC curve (AUC) shows how well a test can distinguish between two diagnostic groups (positive/negative).- The closer the curve follows the left-hand border and then the top border of the ROC space, the more accurate the test.- An AUC of 0.50 suggests that the Bangla K6 is no better than chance at predicting depressive symptoms, whereas an AUC of 1.0 would indicate that the Bangla K6 predicts depressive symptoms perfectly.- AUC = 0.85 for school students and AUC = 0.80 for university students represent good prediction of depressive symptoms at time 2.
j.gp-2019-0016.tab.001.w2aab3b8c16b1b7b1ab2b3ab4Aa
Podgląd