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.

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 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.

Maladaptive and Adaptive Cognitions About the Self and Others: Confirmatory Factor Analysis of the Brief Core Schemas Scales

2022 ◽  
pp. 003329412110636
Author(s):  
Bruno Faustino
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Goodness Of Fit ◽  
Factor Model ◽  
Well Being ◽  
The Self ◽  
Fit Indices ◽  
Portuguese Population ◽  
Dysfunctional Cognitions ◽  
Confirmatory Factor

The presence of dysfunctional cognitions about how individuals see themselves and others is a hallmark of psychopathology. The Brief Core Schemas Scale (BCSS) was developed to evaluate adaptive and dysfunctional beliefs about the self and others. This study describes the first psychometric analysis of the BCSS in the Portuguese population. Participants were recruited from community ( N = 320, Mage=27.31, DP = 12.75). Confirmatory factor analysis (CFA) was used to confirm the BCSS factorial structure. Four-factor model revealed moderate to adequate goodness-of-fit indices (χ2/df = 717.1, (246) p = .01; SRMR = .044; RMSEA = .077; CFI/TLI < .90). Negative views of the self and others correlated positively with early maladaptive schemas, distress, and symptomatology and correlated negatively with psychological well-being. An inversed correlational pattern was found with the positive views of the self and others. Despite the model's moderate adherence to the data, results suggest that the BCSS may be an asset in the assessment of dysfunctional and adaptive cognitions about the self and others. Further analysis is required to deepen the psychometric properties of the BCSS in the Portuguese population.

Psychometrics of the Gratitude Questionnaire-6 in African-Americans at Risk for Cardiovascular Disease

2020 ◽  
Vol 42 (12) ◽  
pp. 1148-1154
Author(s):  
Lakeshia Cousin ◽  
Laura Redwine ◽  
Christina Bricker ◽  
Kevin Kip ◽  
Harleah Buck
Keyword(s):  
At Risk ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Well Being ◽  
Divergent Validity ◽  
Analysis Model ◽  
Factor Analysis Model ◽  
Confirmatory Factor

Psychometrics of the Gratitude Questionnaire-6, which measures dispositional gratitude, was originally estimated in healthy college students. The purpose of this study was to examine the scales’ factor structure, convergent/divergent validity, and reliability among 298 AA adults at risk for CVD in the community. Analyses were performed using bivariate correlations, exploratory factor analysis, and confirmatory factor analysis. The scale demonstrated acceptable estimates for internal consistency (Cronbach’s α = 0.729). Our exploratory factor analysis results yielded a one-factor structure consistent with the original instrument, and the confirmatory factor analysis model was a good fit. Convergent/divergent validity was supported by the association with positive affect (coefficient = 0.482, 95% CI = [0.379, 0.573], spiritual well-being (coefficient = 0.608, 95% CI = [0.519, 0.685], and depressive symptoms (coefficient = −0.378, 95% CI = [−0.475, −0.277]. Findings supported the scale’s reliability and convergent/divergent validity among AAs at risk for CVD.

The Self-Transcendence Scale

2011 ◽  
Vol 30 (3) ◽  
pp. 147-159 ◽  
Author(s):  
Gørill Haugan ◽  
Toril Rannestad ◽  
Helge Garåsen ◽  
Randi Hammervold ◽  
Geir Arild Espnes
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Goodness Of Fit ◽  
Factor Model ◽  
Well Being ◽  
The Self ◽  
Mean Square ◽  
Confirmatory Factor ◽  
Self Transcendence ◽  
Fit Index

Purpose: Self-transcendence, the ability to expand personal boundaries in multiple ways, has been found to provide well-being. The purpose of this study was to examine the dimensionality of the Norwegian version of the Self-Transcendence Scale, which comprises 15 items. Background: Reed’s empirical nursing theory of self-transcendence provided the theoretical framework; self-transcendence includes an interpersonal, intrapersonal, transpersonal, and temporal dimension. Design: Cross-sectional data were obtained from a sample of 202 cognitively intact elderly patients in 44 Norwegian nursing homes. Results: Exploratory factor analysis revealed two and four internally consistent dimensions of self-transcendence, explaining 35.3% (two factors) and 50.7% (four factors) of the variance, respectively. Confirmatory factor analysis indicated that the hypothesized two- and four-factor models fitted better than the one-factor model (c x2, root mean square error of approximation, standardized root mean square residual, normed fit index, nonnormed fit index, comparative fit index, goodness-of-fit index, and adjusted goodness-of-fit index). Conclusions: The findings indicate self-transcendence as a multifactorial construct; at present, we conclude that the two-factor model might be the most accurate and reasonable measure of self-transcendence. Implications: This research generates insights in the application of the widely used Self-Transcendence Scale by investigating its psychometric properties by applying a confirmatory factor analysis. It also generates new research-questions on the associations between self-transcendence and well-being.

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 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 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.

scholarly journals Five Factor Model in Iranian Culture: A Psychometrics Analysis of NEO-Five Factor Inventory (NEO-FFI)

2014 ◽  
Vol 1 (4) ◽  
Author(s):  
Manoochehr Azkhosh ◽  
Ali Asgari
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Construct Validity ◽  
Factor Structure ◽  
Internal Consistency ◽  
Factor Model ◽  
Five Factor Model ◽  
Explanatory Factor Analysis ◽  
Confirmatory Factor ◽  
Neo Five Factor Inventory

This study aimed to investigate the construct validity and factor structure of NEO-Five Factor Inventory (Costa & McCrae, 1992) in Iranian population. Participants were 1639 (780 male, 859 female) Tehran people aged 15-71. The results of explanatory factor analysis showed no notable differences between the factor structures extracted by oblique and orthogonal rotations and didn’t replicate the scoring key. The Openness and Agreeableness had more psychometric problems (low internal consistency and high deleted items). The female’s NEO-FFI factor structure (with 41 items of 60 loaded on intended factors)was clearer than males’ (with 37 items). Confirmatory factor analysis supported the male’s latent modeling of the 31-item but failed to fit the female’s model. The women scored significantly higher in the Neuroticism, Openness, Agreeableness, and Conscientiousness than men who scored significantly higher in the Extraversion. As previous findings, the current results showed the NEO-FFI’s cultural limitations assessing the universality of the Five Factor Model.

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