Confirmatory Factor Analysis of the Gotland Male Depression Scale in an Australian Community Sample

2017 ◽  
Vol 33 (3) ◽  
pp. 190-195 ◽  
Author(s):  
Simon M. Rice ◽  
Helen M. Aucote ◽  
Anne Maria Möller-Leimkühler ◽  
G. Paul Amminger
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Community Sample ◽  
Depression Scale ◽  
Male Depression ◽  
Confirmatory Factor ◽  
Australian Community ◽  
Latent Factor Models

Abstract. The Gotland Male Depression Scale (GMDS) was developed to improve the assessment and identification of depression in men by assessing symptoms that fall outside DSM-V/ICD-10 diagnostic criteria for depression. However, research findings from the GMDS have been markedly discrepant. Attempts to validate the latent GMDS factor structure using exploratory factor analysis (EFA) have yielded inconsistent results, bringing the validity and public health utility of the scale into question. The current study used confirmatory factor analysis to test the construct validity of five competing latent factor models identified from prior research. Data were obtained and analyzed separately from an Australian community sample of adult males (n = 318) and females (n = 345). Fit indices demonstrated the original GMDS two-factor model (distress, depression) to be a poor fit to the data. An alternative mixed three-factor model demonstrated improved model fit, although indices remained marginal. Results question the factor structure validity of the GMDS in the present sample and highlight the need for further psychometric development of the scale.

scholarly journals Psychometric Properties of the Reynolds Child Depression Scale in Community and Clinical Samples

2008 ◽  
Vol 11 (2) ◽  
pp. 641-649 ◽  
Author(s):  
Anna Figueras Masip ◽  
Juan Antonio Amador Campos ◽  
Joan Guàrdia Olmos
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Model ◽  
Clinical Sample ◽  
Five Factor Model ◽  
Community Sample ◽  
Depression Scale ◽  
Clinical Samples ◽  
Child Depression ◽  
Confirmatory Factor

The factor structure of the Reynolds Child Depression Scale (RCDS; Reynolds, 1989), analyzed by confirmatory factor analysis and the scale's psychometric characteristics in a sample of 315 participants (140 boys and 175 girls) and a clinical sample of 62 participants (37 boys and 25 girls) between 10 and 12 years old, are presented. Two models are tested with confirmatory factor analysis: a one-factor model and a five-factor model. Both models show a good fit, but the one-factor model was chosen because it is the most parsimonious. The reliability coefficient ranged from .87 (at test) to .89 (at retest) in the community sample, and was .90 in the clinical sample (at test). Test-retest reliability was .66 in the community sample. Concurrent validity with other self-reports that measure depressive symptomatology was high, both in the community sample (.76) and the clinical sample (.71). There were no significant sex differences but there were differences due to age (school grade).

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.

scholarly journals The structure of the Hospital Anxiety and Depression Scale in four cohorts of community-based, healthy older people: the HALCyon program

2010 ◽  
Vol 22 (4) ◽  
pp. 559-571 ◽  
Author(s):  
Catharine R. Gale ◽  
Michael Allerhand ◽  
Avan Aihie Sayer ◽  
Cyrus Cooper ◽  
Elaine M. Dennison ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Older People ◽  
Exploratory Factor Analysis ◽  
Factor Model ◽  
Depression Scale ◽  
Anxiety And Depression ◽  
Hospital Anxiety ◽  
Men And Women ◽  
Confirmatory Factor

ABSTRACTBackground: The Hospital Anxiety and Depression Scale (HADS) is widely used but evaluation of its psychometric properties has produced equivocal results. Little is known about its structure in non-clinical samples of older people.Methods: We used data from four cohorts in the HALCyon collaborative research program into healthy aging: the Caerphilly Prospective Study, the Hertfordshire Ageing Study, the Hertfordshire Cohort Study, and the Lothian Birth Cohort 1921. We used exploratory factor analysis and confirmatory factor analysis with multi-group comparisons to establish the structure of the HADS and test for factorial invariance between samples.Results: Exploratory factor analysis showed a bi-dimensional structure (anxiety and depression) of the scale in men and women in each cohort. We tested a hypothesized three-factor model but high correlations between two of the factors made a two-factor model more psychologically plausible. Multi-group confirmatory factor analysis revealed that the sizes of the respective item loadings on the two factors were effectively identical in men and women from the same cohort. There was more variation between cohorts, particularly those from different parts of the U.K. and in whom the HADS was administered differently. Differences in social-class distribution accounted for part of this variation.Conclusions: Scoring the HADS as two subscales of anxiety and depression is appropriate in non-clinical populations of older men and women. However, there were differences between cohorts in the way that individual items were linked with the constructs of anxiety and depression, perhaps due to differences in sociocultural factors and/or in the administration of the scale.

Confirmatory Factor Analysis of Dospert Scale with Chinese University Students

2014 ◽  
Vol 114 (1) ◽  
pp. 185-197 ◽  
Author(s):  
Joseph Wu ◽  
Hoi Yan Cheung
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Undergraduate Students ◽  
Risk Taking ◽  
Factor Model ◽  
Empirical Support ◽  
Convenience Sample ◽  
Domain Specific ◽  
Confirmatory Factor

The factor structure of the 30-item Domain Specific Risk Taking Attitude (DOSPERT) scale (Blais & Weber, 2006) was examined with a convenience sample of 205 Chinese undergraduate students from Macao. A comparison of five competing models via confirmatory factor analysis yielded empirical support for the perspective that risk-taking attitude was content-dependent. After removing the items in the Financial subscale of the DOSPERT scale and some post hoc modifications, a reasonably good fit to the four-correlated-factor model was achieved, in concordance with the theoretical framework. However, items in some scales needed further revision to purify their factor structure so that the DOSPERT scale would be a more psychometrically sound measure for investigating one's risk-taking attitudes in different life domains.

scholarly journals Psychometric Analysis of the Shortened Version of the Spiritual Well-Being Scale on the Slovak Population (SWBS-Sk)

2022 ◽  
Vol 19 (1) ◽  
pp. 511
Author(s):  
Peter Tavel ◽  
Bibiana Jozefiakova ◽  
Peter Telicak ◽  
Jana Furstova ◽  
Michal Puza ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Well Being ◽  
Psychometric Analysis ◽  
Final Version ◽  
Slovak Population ◽  
Confirmatory Factor ◽  
Spiritual Well Being

This study was focused on verifying the factor structure of the shortened version of the Spiritual Well-Being Scale (SWBS) on a representative sample of adult Slovak citizens (N = 1018, 49% men, age 18–85 years, and mean age 46.2). The shortened version of the SWBS consists of 10 items divided into two subscales: religious well-being (RWB) and existential well-being (EWB). Results of confirmatory factor analysis (CFA) showed insufficient parameters of the full two-factor model due to three negatively formulated items. After their exclusion, the two-factor model was found to be valid in the Slovakian population (χ (13) = 53.1, p < 0.001, χ2/df = 4.1, CFI = 0.999, TLI = 0.999, RMSEA = 0.055, and SRMR = 0.028). The reliability of the final version of the SWBS-Sk, consisting of seven positively worded items, is high, with α = 0.86 and ω = 0.94. Religious respondents and women scored significantly higher on the whole scale (p = 0.001) as well as on the two subscales (p < 0.05). A higher age was associated with a higher RWB score (p = 0.001) and a lower EWB score (p = 0.002). The shortened version of the SWBS-Sk consisting of positively worded items was found to be valid and reliable for further use in the Slovak environment.

scholarly journals Assessment of locomotive syndrome among older individuals: a confirmatory factor analysis of the 25-question Geriatric Locomotive Function Scale

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9026 ◽  
Author(s):  
Chaochen Wang ◽  
Tatsunori Ikemoto ◽  
Atsuhiko Hirasawa ◽  
Young-Chang Arai ◽  
Shogo Kikuchi ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Cognitive Status ◽  
Locomotive Syndrome ◽  
Latent Factors ◽  
Alternative Models ◽  
Body Pain ◽  
Confirmatory Factor

Background The 25-question Geriatric Locomotive Function Scale (GLFS-25) is widely used in daily clinical practice in evaluating locomotive syndrome (LS). The questionnaire contains 25 questions aiming to describe 6 aspects, including body pain, movement-related difficulty, usual care, social activities, cognitive status, and daily activities. However, its potential underlying latent factor structure of the questionnaire has not been fully examined so far. Methods Five hundred participants who were 60 years or older and were able to walk independently with or without a cane but had complaints of musculoskeletal disorders were recruited face to face at the out-patient ward of Aichi Medical University Hospital between April 2018 and June 2019. All participants completed the GLFS-25. Confirmatory factor analysis (CFA) models (single-factor model, 6-factor model as designed by the developers of the GLFS-25) were fitted and compared using Mplus 8.3 with a maximum likelihood minimization function. Modification indices, standardized expected parameter change were used, a standard strategy for scale development was followed in the search for an alternative and simpler model that could well fit the collected data. Cronbach’s α and its 95% confidence interval (CI) were also calculated. Results Mean (standard deviation) participants age was 72.6 (7.4) years old; 63.6% of them were women. Under the current criteria, 132 (26.4%) and 262 (52.4%) of the study subjects would be classified as LS stage 1 and stage 2, respectively. Overall, the Cronbach’s α (95% CI) for GLFS-25 evaluated using these data was 0.959 (0.953, 0.964). The single- and 6-factor models were rejected due to poor fit. The alternative models with either full 25 questions or a shortened GLFS-16 were found to fit the data better. These alternative models included three latent factors (body pain, movement-related difficulty, and psycho-social complication) and allowed for cross-loading and residual correlations. Discussion The findings of the CFA models provided evidence that the factor structure of the GLFS-25 might be simpler than the 6-factor model as suggested by the designers. The complex relationships between the latent factors and the observed items may also indicate that individual sub-scale use or simply combining the raw scores for evaluation is likely to be inadequate or unsatisfactory. Thus, future revisions of the scoring algorithm or questions of the GLFS-25 may be required.

scholarly journals Familism Scale: Confirmatory Factor Analysis in a Sample of Caregivers of Older Adults

2019 ◽  
Vol 29 ◽  
Author(s):  
Deusivania Vieira da Silva Falcão ◽  
Daniel Paulson ◽  
Manuel Herrera Legon ◽  
Carolina Irurita-Ballesteros
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Depression Scale ◽  
Epidemiological Studies ◽  
Filial Obligation ◽  
Satisfaction Scale ◽  
Confirmatory Factor

Abstract The objective of this study was to translate and confirm the factor structure of the Familism Scale in the Brazilian Portuguese version. The sample included 716 Brazilian caregivers providing care to their own aging parents with Alzheimer’s Disease. The measures included the Familism Scale, the Filial Obligation Scale, the Life Satisfaction scale and the Center for Epidemiological Studies-Depression scale (CES-D). The questionnaire was individually filled online with use of the survey software package Qualtrics. Confirmatory Factor Analysis was used to examine the factor structure. The modified model demonstrated adequate fit (RMSEA = .063, CFI = .912). The hypotheses concerning convergence and divergence of validity from relevant variables were corroborated. These results support the use of the modified Familism Scale including twelve items and two factors with acceptable psychometric properties in a sample of Brazilian caregivers with Alzheimer’s Disease.

scholarly journals Importance and Perception of the Character Strengths Scale: psychometric evidence in professors

2021 ◽  
Author(s):  
Valeschka Martins Guerra ◽  
Leogildo Alves Freires ◽  
Clarisse Lourenço Cintra ◽  
Marcella Bastos Cacciari ◽  
Naiara Ferreira Vieira Castello
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Character Strengths ◽  
Single Factor ◽  
College Professors ◽  
Quantitative Studies ◽  
Confirmatory Factor ◽  
Psychometric Evidence

This study aimed at presenting the development and psychometric evidence of the Importance and Perception of Character Strengths Scale (IPCSS)-Professor Version. Two quantitative studies were conducted. In Study 1 the respondents were 214 college professors (mean age = 39.21; SD = 9.77; 55.6 % females), who answered the IPCSS-Professor and sociodemographic questions. Exploratory analysis suggested a one-factor structure for both subscales. Respondents in Study 2 were 262 college professors (mean age = 41.80; SD = 9.81; 50.8 % male). Confirmatory factor analysis suggested the adequacy of the six-factor structure theoretically proposed for both subscales after comparison with the alternative single-factor model. The IPCSS-Professor presented satisfactory reliability indexes and it is applicable for teachers of different sectors in order to understand their character strengths.

scholarly journals Driving locus of control: The Czech adaptation

2021 ◽  
Vol 65 (1) ◽  
pp. 86-100
Author(s):  
Vít Gabrhel ◽  
◽  
Stanislav Ježek ◽  
Petr Zámečník
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Factor Model ◽  
One Dimensional ◽  
Equation Modelling ◽  
Confirmatory Factor ◽  
The One

Objectives. This study attempts to introduce the Driving Locus of Control (DLoC), a method focused on the internal or external source of attribution of the driving behaviour, to the Czech context. This study also relates DLoC to attitudes towards autonomous vehicles (AVs). Participants and setting. Out of the general population, 59 inquirers personally interviewed (CAPI) 1 065 respondents (49% women) in the age range between 15 and 92 years (M = 50, SD = 17). The respondents were sampled via multistage random sampling procedure, based on the list of addresses in the Czech Republic. Hypotheses. The authors hypothesised to replicate the original two-factor structure of the DLoC Scale and that the higher levels of internal DLoC result in not considering the improvement in traffic safety as the AVs replace human drivers. Statistical analysis. Confirmatory factor analysis was used to analyse the factor structure of DLoC Scale. Hypotheses related to the empirical validity of the method were assessed via structural equation modelling. The reliability of DLoC Scale was calculated in terms of internal consistency (McDonald coefficient). Results. Confirmatory factor analysis revealed reasonably good support for structural validity of the one-dimensional DLoC-CZ15 factor model (χ2 = 426.967, df = 90, CFI = 0.964, TLI = 0.958, SRMR = 0.066, RMSEA = 0.065). In addition, the one-dimensional DLoC-CZ15 factor model showed acceptable internal consistency - ω = 0.9 (95% CI [0.89, 0.91]). The structural equation modelling found a relationship between DLoC and some of the items capturing attitudes towards AVs, too. Study limitations. The analysed data were obtained via interviews between respondents and inquirers. As a result, the study does not contain indicators of empirical validity measured by a methodologically different approach, such as an observation of driving behaviour.

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