scholarly journals Universality and Normativity of the Attachment Theory in Non-Western Psychiatric and Non-Psychiatric Samples: Multiple Group Confirmatory Factor Analysis (CFA)

2021 ◽  
Vol 18 (11) ◽  
pp. 5770
Author(s):  
Naser Abdulhafeeth Alareqe ◽  
Samsilah Roslan ◽  
Sahar Mohammed Taresh ◽  
Mohamad Sahari Nordin
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Attachment Theory ◽  
Psychiatric Outpatients ◽  
Multiple Group ◽  
Attachment Orientation ◽  
Confirmatory Factor ◽  
First Time ◽  
Method Model ◽  
Better Than

This study tests for the first time the validity of universality and normativity assumptions related to the attachment theory in a non-Western culture, using a novel design including psychiatric and non-psychiatric samples as part of a comprehensive exploratory and advanced confirmatory framework. Three attachment assessments were distributed to 212 psychiatric outpatients and 300 non-psychiatric samples in Yemen. The results of the fourteen approaches of exploratory factor analysis (EFA) produce a similar result and assertion that the psychiatric outpatients tend to explore attachment outcomes based on multi-methods, while the non-psychiatric samples suggest an attachment orientation based on multi-traits (self–other). The multiple group-confirmatory factor analysis (MG-CFA) demonstrates that the multi-method model fits the psychiatric samples better than the non-psychiatric samples. Equally, the MG-CFA suggests that the multi-traits model also fits the psychiatric samples better than the non-psychiatric samples. Implications of the results are discussed.

scholarly journals Multiple Group Confirmatory Factor Analysis of the DASS-21 Depression and Anxiety Scales: How Do They Perform in a Cancer Sample?

2017 ◽  
Vol 121 (3) ◽  
pp. 548-565 ◽  
Author(s):  
Rina S. Fox ◽  
Teresa A. Lillis ◽  
James Gerhart ◽  
Michael Hoerger ◽  
Paul Duberstein
Keyword(s):  
Factor Analysis ◽  
Standard Deviation ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Cancer Patients ◽  
Internal Consistency Reliability ◽  
Total Sample ◽  
Depression And Anxiety ◽  
Multiple Group ◽  
Confirmatory Factor

The DASS-21 is a public domain instrument that is commonly used to evaluate depression and anxiety in psychiatric and community populations; however, the factor structure of the measure has not previously been examined in oncologic settings. Given that the psychometric properties of measures of distress may be compromised in the context of symptoms related to cancer and its treatment, the present study evaluated the psychometric properties of the DASS-21 Depression and Anxiety scales in cancer patients ( n = 376) as compared to noncancer control participants ( n = 207). Cancer patients ranged in age from 21 to 84 years (mean = 58.3, standard deviation = 10.4) and noncancer control participants ranged in age from 18 to 81 years (mean = 45.0, standard deviation = 11.7). Multiple group confirmatory factor analysis supported the structural invariance of the DASS-21 Depression and Anxiety scales across groups; the factor variance/covariance invariance model was the best fit to the data. Cronbach’s coefficient alpha values demonstrated acceptable internal consistency reliability across the total sample as well as within subgroups of cancer patients and noncancer control participants. Expected relationships of DASS-21 Depression and Anxiety scale scores to measures of suicidal ideation, quality of life, self-rated health, and depressed mood supported construct validity. These results support the psychometric properties of the DASS-21 Depression and Anxiety scales when measuring psychological distress in cancer patients.

scholarly journals Psychometric properties of the Dresden Body Image Questionnaire: A multiple-group confirmatory factor analysis across sex and age in a Dutch non-clinical sample

PLoS ONE ◽  
2017 ◽  
Vol 12 (7) ◽  
pp. e0181908 ◽  
Author(s):  
Mia Scheffers ◽  
Marijtje A. J. van Duijn ◽  
Ruud J. Bosscher ◽  
Durk Wiersma ◽  
Robert A. Schoevers ◽  
...  
Keyword(s):  
Body Image ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Clinical Sample ◽  
Multiple Group ◽  
Confirmatory Factor

The Empirical Verification of an Assignment of Items to Subtests

2008 ◽  
Vol 68 (6) ◽  
pp. 923-939 ◽  
Author(s):  
Ilse Stuive ◽  
Henk A. L. Kiers ◽  
Marieke E. Timmerman ◽  
Jos M. F. ten Berge
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Simulation Study ◽  
Common Factor ◽  
Model Error ◽  
Unique Variance ◽  
Empirical Verification ◽  
Multiple Group ◽  
Analysis Methods ◽  
Confirmatory Factor

This study compares two confirmatory factor analysis methods on their ability to verify whether correct assignments of items to subtests are supported by the data. The confirmatory common factor (CCF) method is used most often and defines nonzero loadings so that they correspond to the assignment of items to subtests. Another method is the oblique multiple group (OMG) method, which defines subtests as unweighted sums of the scores on all items assigned to the subtest, and (corrected) correlations are used to verify the assignment. A simulation study compares both methods, accounting for the influence of model error and the amount of unique variance. The CCF and OMG methods show similar behavior with relatively small amounts of unique variance and low interfactor correlations. However, at high amounts of unique variance and high interfactor correlations, the CCF detected correct assignments more often, whereas the OMG was better at detecting incorrect assignments.

scholarly journals Reliability and validity of the Farsi version of the Patient Health Questionnaire-9 (PHQ-9) with Iranian psychiatric outpatients

2018 ◽  
Vol 40 (2) ◽  
pp. 144-151 ◽  
Author(s):  
Mahboubeh Dadfar ◽  
Zornitsa Kalibatseva ◽  
David Lester
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
World Health ◽  
Patient Health Questionnaire ◽  
Health Questionnaire ◽  
Psychiatric Outpatients ◽  
Convenience Sample ◽  
Confirmatory Factor ◽  
Patient Health ◽  
Farsi Version

Abstract Introduction: The Patient Health Questionnaire-9 (PHQ-9) is a brief screening and diagnostic tool for depression. It has been used in research and clinical practice in primary care and other clinical and non-clinical settings. The PHQ-9 has not had its validity examined in psychiatric and psychological settings in Iran. Methods: A cross-sectional study was conducted to investigate the validation of the Farsi version of the PHQ-9. A convenience sample of 130 Iranian volunteer psychiatric outpatients was selected from psychiatric and psychological clinics. They completed the PHQ-9, the Patient Health Questionnaire-15 (PHQ-15), the World Health Organization-five Well-Being Index (WHO-5), and the short form of the Beck Depression Inventory-13 (BDI-13). Data were analyzed by descriptive statistics, Cronbach's α, Pearson correlation coefficient, principal component analysis, exploratory factor analysis, and confirmatory factor analysis. Results: Mean score of the PHQ-9 was 12.83 (standard deviation = 6.25), indicating moderately severe depression in the sample. Cronbach's α coefficient for PHQ-9 was 0.88, and one-week test-retest reliability 0.79. The PHQ-9 correlated 0.64 with PHQ-15, −0.35 with WHO-5, and 0.70 with BDI-13, indicating good construct and criterion-related validity. The results of the factor analysis of PHQ-9 items identified and confirmatory factor analysis confirmed a single factor labeled general depression. Conclusions: The PHQ-9 appears to have a unidimensional structure, adequate validity and reliability, and can be useful in epidemiological/research settings. Based on previous literature and on the present findings, the PHQ-9 may have applicability to other contexts in the studied population, but this needs to be confirmed by other studies.

scholarly journals A Cross-Continent Analysis of the Invariance of Product Information in Cross-Border Electronic Commerce

2021 ◽  
Vol 29 (6) ◽  
pp. 1-23
Author(s):  
Wenlong Zhu ◽  
Jian Mou ◽  
Jason F. Cohen
Keyword(s):  
Factor Analysis ◽  
Latin America ◽  
Confirmatory Factor Analysis ◽  
Electronic Commerce ◽  
Product Information ◽  
Purchase Intentions ◽  
Cross Border ◽  
Multiple Group ◽  
Confirmatory Factor ◽  
Product Description

Cross-border electronic-commerce (CBEC) is growing. However, due to differences in culture, habits, history and language among other factors, consumers in different regions may have different perception towards the same product information on CBEC platforms, which may lead to differences in their cognition of the product with implications for purchase intentions. Presently, little research has attempted to understand whether there are such differences between global consumers through the examination of measurement invariance (MI) in CBEC environments. By using multiple-group confirmatory factor analysis (MG-CFA), this study explored the invariance of two product information cognitions on CBEC platforms, namely product description and product awareness, among consumers in North America, Europe, Latin America and Oceania. Data was collected from users of a popular CBEC platform in China. We find no significant differences in understandings and levels of awareness of product information across the four groups of consumers.

Sign in / Sign up

Export Citation Format

Share Document