scholarly journals Measuring depression in adolescence: Evaluation of a hierarchical factor model of the Children’s Depression Inventory and measurement invariance across boys and girls

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0249943
Author(s):  
Martin Jelínek ◽  
Petr Květon ◽  
Iva Burešová ◽  
Helena Klimusová
Keyword(s):  
Factor Analysis ◽  
Measurement Invariance ◽  
Factor Structure ◽  
Factor Model ◽  
Mean Difference ◽  
Self Concept ◽  
Children's Depression Inventory ◽  
Differential Functioning ◽  
Children’S Depression ◽  
Standardized Mean Difference

Background One of the most widely used instruments to measure depression in childhood and adolescence is Kovacs’s Children’s Depression Inventory (CDI). Even though this particular measure sparked massive interest among researchers, there is no clear consensus about its factorial structure. It has been suggested that inconsistencies in findings can be partly ascribed to the cultural context. The aim of this study was a) to examine and verify the factor structure of CDI in the Czech population and b) to assess gender-related psychometric differences using the mean and covariance structure (MACS) approach and differential item functioning (DIF) analysis. Methods The research sample consisted of 1,515 adolescents (ages 12 to 16 years, 53.7% female) from a non-clinical general population. Based on exploratory factor analysis (EFA) on a random subsample (N = 500), we proposed a model that was subsequently tested on the rest of the sample (N = 1,015) using confirmatory factor analysis (CFA). Following the MACS procedure, we assessed measurement invariance in boys and girls. The between-group comparison was further supplemented by a DIF analysis. Results The proposed hierarchical four-factor model (General Symptoms, Negative Self-Concept, Inefficiency, and Social Anhedonia) with a second-order factor of depression fitted the data reasonably well (χ2 = 1281.355; df = 320; RMSEA = 0.054, CFI = 0.925). Regarding gender differences, we found no substantial signs of measurement invariance using the MACS approach. Boys and girls differed in first-order latent means (girls scored higher on General Symptoms with a standardized mean difference of 0.52 and on Negative Self-Concept with a standardized mean difference of 0.31). DIF analysis identified three items with differential functioning. However, the levels of differential functioning were only marginal (in two items) or marginal/moderate and the presence of DIF does not substantially influence scoring of CDI. Conclusion In the general adolescent population in the Czech Republic, the CDI can be considered a reliable instrument for screening purposes in clinical settings and for use in research practice. Instead of the originally proposed five-factor model, we recommend using the newly established four-factor structure. The measure seems to show only marginal psychometric differences with respect to gender, and overall measurement invariance in boys and girls seems to be a tenable assumption.

An Exploratory Factor Analysis of Children's Depression Inventory Scores in Young Children of Substance Abusers

2002 ◽  
Vol 91 (1) ◽  
pp. 131-141 ◽  
Author(s):  
Philip M. Drucker ◽  
Carolyn Greco-Vigorito
Keyword(s):  
Factor Analysis ◽  
Young Children ◽  
Substance Abusers ◽  
Primary Factor ◽  
Self Concept ◽  
Children's Depression Inventory ◽  
Children’S Depression Inventory ◽  
Factor Analytic ◽  
Children’S Depression ◽  
Children Of Substance Abusers

A factor analytic study of scores obtained on the Children's Depression Inventory from a sample of 202 young children ( M = 7.5 yr., SD = 2.2) of alcoholics and substance abusers was completed. A principal components factor analysis with an oblique rotation yielded five separate factors related to Negative Self-concept, Acting-out, Somatic/Disturbed Symptoms, Mood, and Hopelessness. In previous factor analytic studies of the Children's Depression Inventory with normal and clinical populations the primary factor obtained was formed by mood-related items. In contrast, the primary factor of the present analysis was formed by items concerning perceptions of self-concept, not mood. These results corroborated previously reported data from the Child Behavior Checklist suggesting that the depressive symptoms displayed by children of substance abusers are related to self-concept and externalization.

scholarly journals Latent Factor Structure and Measurement Invariance of the NIH Toolbox Cognition Battery in an Alzheimer’s Disease Research Sample

2020 ◽  
pp. 1-14
Author(s):  
Yue Ma ◽  
Cynthia M. Carlsson ◽  
Michelle L. Wahoske ◽  
Hanna M. Blazel ◽  
Richard J. Chappell ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Factor Analysis ◽  
Executive Function ◽  
Measurement Invariance ◽  
Clinical Diagnosis ◽  
Factor Structure ◽  
Processing Speed ◽  
Factor Model ◽  
Latent Factor ◽  
Race Ethnicity

Abstract Objective: This study investigated the latent factor structure of the NIH Toolbox Cognition Battery (NIHTB-CB) and its measurement invariance across clinical diagnosis and key demographic variables including sex, race/ethnicity, age, and education for a typical Alzheimer’s disease (AD) research sample. Method: The NIHTB-CB iPad English version, consisting of 7 tests, was administered to 411 participants aged 45–94 with clinical diagnosis of cognitively unimpaired, dementia, mild cognitive impairment (MCI), or impaired not MCI. The factor structure of the whole sample was first examined with exploratory factor analysis (EFA) and further refined using confirmatory factor analysis (CFA). Two groups were classified for each variable (diagnosis or demographic factors). The confirmed factor model was next tested for each group with CFA. If the factor structure was the same between the groups, measurement invariance was then tested using a hierarchical series of nested two-group CFA models. Results: A two-factor model capturing fluid cognition (executive function, processing speed, and memory) versus crystalized cognition (language) fit well for the whole sample and each group except for those with age < 65. This model generally had measurement invariance across sex, race/ethnicity, and education, and partial invariance across diagnosis. For individuals with age < 65, the language factor remained intact while the fluid cognition was separated into two factors: (1) executive function/processing speed and (2) memory. Conclusions: The findings mostly supported the utility of the battery in AD research, yet revealed challenges in measuring memory for AD participants and longitudinal change in fluid cognition.

scholarly journals Factor structure and sex invariance of the temporal experience of pleasure scale (TEPS) in Chinese university students and clinical population

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shulin Fang ◽  
Xiaodan Huang ◽  
Panwen Zhang ◽  
Jiayue He ◽  
Xingwei Luo ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Measurement Invariance ◽  
Factor Structure ◽  
Factor Model ◽  
Clinical Sample ◽  
Clinical Samples ◽  
Temporal Experience ◽  
Scalar Invariance ◽  
Best Fit ◽  
Consummatory Pleasure

Abstract Background A motivation dimension of the core psychiatric symptom anhedonia additional has been suggested. The Temporal Experience of Pleasure Scale (TEPS) has been reported to assess anticipatory and consummatory pleasure separately in multiple factor-structure models. This study explored the factor structure of a Chinese version of the 18-item TEPS and further explored the measurement invariance of the TEPS across sex and clinical status (non-clinical, psychiatric). Methods Best-fit factor structure of the TEPS was examined in a non-clinical cohort of 7410 undergraduates, randomized into sample 1 (N = 3755) for exploratory factor analysis (EFA) and sample 2 (N = 3663) for confirmatory factor analysis (CFA). Additionally, serial CFA was conducted to evaluate measurement invariance across sex and between clinical (N = 313) and non-clinical (N = 341) samples. Results EFA supported a new four-factor structure with a motivation component, based on the original two-factor model (consummatory pleasure with/without motivation drive, anticipatory pleasure with/without motivation drive). CFA confirmed the four-factor model as the best-fit structure and revealed a second-order hierarchy in non-clinical and clinical samples. Full scalar invariance was observed across clinical and non-clinical samples and across sex in the clinical sample; only partial scalar invariance was observed across sex in the non-clinical sample. Conclusions A four-factor structured TEPS can assess motivation-driving dimensions of anticipatory and consummatory pleasure, consistent with the recently advanced multidimensional structure of anhedonia. CFA and measurement invariance results support application of the TEPS for assessing motivation aspects of anhedonia.

Factorial Structure of the Therapist Adherence Measure-Revised (TAM-R) Within Multisystemic Therapy

2020 ◽  
Vol 36 (2) ◽  
pp. 427-431
Author(s):  
Aurelie M. C. Lange ◽  
Marc J. M. H. Delsing ◽  
Ron H. J. Scholte ◽  
Rachel E. A. van der Rijken
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Multisystemic Therapy ◽  
Model Fit ◽  
Validity And Reliability ◽  
Adherence Measure ◽  
Therapist Adherence ◽  
Confirmatory Factor ◽  
The Us

Abstract. The Therapist Adherence Measure (TAM-R) is a central assessment within the quality-assurance system of Multisystemic Therapy (MST). Studies into the validity and reliability of the TAM in the US have found varying numbers of latent factors. The current study aimed to reexamine its factor structure using two independent samples of families participating in MST in the Netherlands. The factor structure was explored using an Exploratory Factor Analysis (EFA) in Sample 1 ( N = 580). This resulted in a two-factor solution. The factors were labeled “therapist adherence” and “client–therapist alliance.” Four cross-loading items were dropped. Reliability of the resulting factors was good. This two-factor model showed good model fit in a subsequent Confirmatory Factor Analysis (CFA) in Sample 2 ( N = 723). The current finding of an alliance component corroborates previous studies and fits with the focus of the MST treatment model on creating engagement.

The Factor Structure and Measurement Invariance of Positive and Negative Affect

2016 ◽  
Vol 32 (4) ◽  
pp. 265-272 ◽  
Author(s):  
Mohsen Joshanloo ◽  
Ali Bakhshi
Keyword(s):  
Negative Affect ◽  
Measurement Invariance ◽  
Factor Structure ◽  
Factor Model ◽  
Positive And Negative Affect ◽  
Cultural Groups ◽  
Invariance Testing ◽  
The Usa ◽  
Scalar Invariance ◽  
Gender Groups

Abstract. This study investigated the factor structure and measurement invariance of the Mroczek and Kolarz’s scales of positive and negative affect in Iran (N = 2,391) and the USA (N = 2,154), and across gender groups. The two-factor model of affect was supported across the groups. The results of measurement invariance testing confirmed full metric and partial scalar invariance of the scales across cultural groups, and full metric and full scalar invariance across gender groups. The results of latent mean analysis revealed that Iranians scored lower on positive affect and higher on negative affect than Americans. The analyses also showed that American men scored significantly lower than American women on negative affect. The significance and implications of the results are discussed.

An investigation into the factor structure of the Cognitive Therapy Scale – Revised (CTS-R) in a CBT training sample

2021 ◽  
pp. 1-11
Author(s):  
Sarah Beale ◽  
Silia Vitoratou ◽  
Sheena Liness
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Therapy ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Single Factor ◽  
Behaviour Therapy ◽  
Cognitive Behaviour ◽  
Confirmatory Factor

Abstract Background: Effective monitoring of cognitive behaviour therapy (CBT) competence depends on psychometrically robust assessment methods. While the UK Cognitive Therapy Scale – Revised (CTS-R; Blackburn et al., 2001) has become a widely used competence measure in CBT training, practice and research, its underlying factor structure has never been investigated. Aims: This study aimed to present the first investigation into the factor structure of the CTS-R based on a large sample of postgraduate CBT trainee recordings. Method: Trainees (n = 382) provided 746 mid-treatment audio recordings for depression (n = 373) and anxiety (n = 373) cases scored on the CTS-R by expert markers. Tapes were split into two equal samples counterbalanced by diagnosis and with one tape per trainee. Exploratory factor analysis was conducted. The suggested factor structure and a widely used theoretical two-factor model were tested with confirmatory factor analysis. Measurement invariance was assessed by diagnostic group (depression versus anxiety). Results: Exploratory factor analysis suggested a single-factor solution (98.68% explained variance), which was supported by confirmatory factor analysis. All 12 CTS-R items were found to contribute to this single factor. The univariate model demonstrated full metric invariance and partial scalar invariance by diagnosis, with one item (item 10 – Conceptual Integration) demonstrating scalar non-invariance. Conclusions: Findings indicate that the CTS-R is a robust homogenous measure and do not support division into the widely used theoretical generic versus CBT-specific competency subscales. Investigation into the CTS-R factor structure in other populations is warranted.

Exploring the Factor Structure of the Job Demands-Resources Measure With Patient Violence on Direct Care Workers in the Home Setting

2017 ◽  
Vol 25 (2) ◽  
pp. 257-274 ◽  
Author(s):  
Ha Do Byon ◽  
Donna Harrington ◽  
Carla L. Storr ◽  
Jane Lipscomb
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Job Demands ◽  
Direct Care ◽  
Direct Care Workers ◽  
Home Setting ◽  
Patient Violence ◽  
Measurement Framework ◽  
Care Workers

Background and Purpose: Workplace violence research in health care settings using the Job Demands-Resources (JD-R) framework is hindered by the lack of comprehensive examination of the factor structure of the JD-R measure when it includes patient violence. Is patient violence a component of job demands or its own factor as an occupational outcome? Method: Exploratory factor analysis and confirmatory factor analysis were conducted using a sample of direct care workers in the home setting (n = 961). Results: The overall 2-construct JD-R structure persisted. Patient violence was not identified as a separate factor from job demands; rather, two demand factors emerged: violence/emotional and workload/physical demands. Conclusions: Although the three-factor model fits the data, the two-factor model with patient violence being a component of job demands is a parsimonious and effective measurement framework.

scholarly journals Validation of the Hedonic and Eudaimonic Motives for Activities-Revised Scale in Chinese Adults

2021 ◽  
Vol 18 (8) ◽  
pp. 3959
Author(s):  
Wenjie Li ◽  
Linting Zhang ◽  
Ning Jia ◽  
Feng Kong
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Measurement Invariance ◽  
Predictive Validity ◽  
Factor Model ◽  
Well Being ◽  
Smartphone Addiction ◽  
Chinese Adults ◽  
Confirmatory Factor ◽  
Chinese Undergraduates

The Hedonic and Eudaimonic Motives for Activities-Revised scale (HEMA-R) is one of the most extensively used instruments to assess how people pursue well-being. The main aims of the present research were to translate HEMA-R into Chinese and test its construct and predictive validity as well as measurement invariance across gender. In Study 1, we conducted confirmatory factor analysis with data containing 1090 Chinese undergraduates, and replicated the two-factor model which has been found in other studies. Furthermore, the measurement invariance across gender was supported throughout the multi-group confirmatory factor analysis. Study 2 replicated these results and further found the HEMA-R had satisfactory predictive validity in measures of well-being, social support and smartphone addiction. All the findings indicate that the HEMA-R is reliable and valid to measure hedonic and eudaimonic motives, and it could be applied generally across gender in Chinese adults.

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