Dimensionality of burden in Alzheimer caregivers: confirmatory factor analysis and correlates of the Zarit Burden interview

2014 ◽  
Vol 26 (9) ◽  
pp. 1455-1463 ◽  
Author(s):  
Sheung-Tak Cheng ◽  
Timothy Kwok ◽  
Linda C. W. Lam
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Caregiver Burden ◽  
Care Recipient ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Zarit Burden Interview ◽  
Confirmatory Factor

ABSTRACTBackground:To investigate dimensions of caregiver burden through factor analysis of the Zarit Burden Interview (ZBI), and to examine predictors of different dimensions of burden.Methods:Confirmatory factor analyses were performed on 395 Hong Kong Chinese Alzheimer caregivers to examine whether several proposed factor structures fit the data well. Subsequently, participants were split into two roughly equal subsamples, for the purpose of identifying the most optimal factor structure through exploratory factor analysis in Sample A (n = 183) and an independent verification through confirmatory factor analysis in Sample B (n = 212). ZBI subscales representing the established factors were correlated with caregiver and care-recipient variables known to be associated with burden.Results:Confirmatory factor analyses showed that factor models reported elsewhere did not fit the data well. Subsequently, exploratory factor analysis in Sample A suggested a 4-factor structure. After dropping three items due to poor factor loadings, the 4-factor structure was found to fit the data moderately well in Sample B. The four factors tapped personal strain, captivity, self-criticism, and loss of control. However, self-criticism was basically unrelated to the other three factors and showed a rather different pattern of correlations with caregiver and care-recipient variables. Self-criticism was more common among child caregivers and those who did not live with the care-recipient and was less involved in day-to-day care, yet feeling obligated and close to the care-recipient.Conclusions:The dimensions of caregiver burden may be culturally specific. More research is needed to examine cultural considerations in measuring caregiver burden.

Assessing the Measurement Invariance of the Gratitude Questionnaire–5 in Chinese and American Adolescents

2021 ◽  
Vol 24 ◽  
Author(s):  
Yu Ling ◽  
Qin Yang ◽  
Yifang Zeng ◽  
E. Scott Huebner
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Measurement Invariance ◽  
Factor Structure ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Configural Invariance ◽  
Confirmatory Factor ◽  
Subsequent Comparison ◽  
Latent Means

Abstract Given the possibility of cultural differences in the meaning and levels of gratitude among children, we evaluated the measurement invariance of the Gratitude Questionnaire–5 (GQ–5) and differences in latent means across adolescents from two distinct cultures, China and America. Data were obtained from 1,991 Chinese and 1,685 American adolescents. Confirmatory factor analysis and multigroup confirmatory factor analysis were performed to examine the factor structure and the measurement equivalence across Chinese and American adolescents. The Cronbach’s alpha and Item-total Correlations of the GQ–5 were also evaluated. Results of confirmatory factor analyses provided support for the expected one-factor structure. Also, a series of multi-group confirmatory factor analyses supported full configural invariance, full metric invariance, and partial scalar invariance between the two groups. Furthermore, the findings suggested that the GQ–5 is suitable for conducting mean level comparisons. The subsequent comparison of latent means revealed that the Chinese adolescents reported significantly lower gratitude than American adolescents.

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.

Exploratory and Confirmatory Factor Analysis of the Burden Scale for Family Caregivers-Short Form

2021 ◽  
pp. 106648072110524
Author(s):  
Rachel R. Tambling ◽  
Carissa D’Aniello ◽  
Beth S. Russell
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Family Caregivers ◽  
Exploratory Factor Analysis ◽  
Caregiver Burden ◽  
Short Form ◽  
Research Attention ◽  
Caregiving Burden ◽  
Confirmatory Factor ◽  
Burden Scale

Caregiver burden describes the physical, psychological, social, and financial demands of providing care to others. Caregiver burden has been investigated in general, and off-time caregiving often specific to chronic, recurring conditions. Despite the substantial research attention to caregiving burden, there have been few studies aimed establishing the psychometric evaluation of measurement tools used to measure the construct ( Pendergrass et al., 2018 ). Accurate measurement of caregiving burden is essential for studying the myriad effects on caregivers’ mental, physical, financial, and relational health. To begin to fill this gap, we conducted an exploratory factor analysis and a confirmatory factor analysis of the Burden Scale for Family Caregivers ( Pendergrass et al., 2018 ) in two distinct samples. Results of an exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) indicated a one factor solution. Implications for these findings on the study of caregiver burden are included.

Factor Structure of the K-ABC for Cantonese, English, and Punjabi Speaking Canadians

1988 ◽  
Vol 4 (1) ◽  
pp. 49-59
Author(s):  
Joanne M. Gardner
Keyword(s):  
Factor Analysis ◽  
Theoretical Model ◽  
Confirmatory Factor Analysis ◽  
Construct Validity ◽  
Internal Structure ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Assessment Battery ◽  
Confirmatory Factor

The purpose of this study was to examine the construct validity (internal structure) of the Kaufman Assessment Battery for Children (K-ABC) for use with Cantonese, English, and Punjabi speaking Canadians. A confirmatory factor analysis revealed that the sequential/simultaneous theoretical model was supported by the English and Punjabi data: however, the Cantonese data did not exhibit a good fit with this model. Similarly, the results of the exploratory factor analysis suggested that sequential and simultaneous factors could apply when describing the factor structure of the English and Punjabi data, but not for the Cantonese data. Implications of these findings are discussed.

scholarly journals Adaptasi Sanctification of Marriage Questionnaire: Versi Indonesia untuk Masyarakat Muslim

2021 ◽  
Vol 26 (1) ◽  
pp. 217-232
Author(s):  
Hepi Wahyuningsih ◽  
Dyna Rahayu Suci Pertiwi
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Construct Validity ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Structure Stability ◽  
Validity And Reliability ◽  
Confirmatory Factor ◽  
The Stability ◽  
Composite Reliability

This study aims to adapt the Sanctification of Marriage Questionnaire for Muslims inIndonesia. Adaptation of the Sanctification of Marriage Questionnaire is carried out throughthe stages: translation, providing evidence of construct validity and reliability. Evidence of construct validity was carried out by exploratory factor analysis followed by MGCFA (Multi-Group Confirmatory factor Analysis). In this study, we used a composite reliability. Subjects to reveal the factor structure of sanctification of marriage were 160 married individuals, while the subjects to test the stability of factor structure consisted of 102 husbands and 111 wives. The result of exploratory factor analysis shows that the construct of sanctification of marriage has three factors / dimensions, namely: belief, perceived sacred qualities and manifestation of God. The structure stability of sanctification of marriage was then empirically tested by MGCFA. The results of MGCFA showed that the three factors / dimensions of sanctification of marriage proved stable. The composite reliability coefficient of the Sanctification of Marriage Questionnaire was in a good category. Further research can be carried out to provide evidence of construct validity with predictive validity and concurrent validity of the Sanctification of Marriage Questionnaire. Limitations in this study are discussed further.Keywords: exploratory factor analysis, multi-group confirmatory factor analysis, muslim,sanctification of marriage, scale adaptation

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.

Measuring the Meaning of Miscarriage: Revision of the Impact of Miscarriage Scale

2014 ◽  
Vol 22 (1) ◽  
pp. 29-45 ◽  
Author(s):  
Carolyn S. Huffman ◽  
Kristen Swanson ◽  
Mary R. Lynn
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Phenomenological Study ◽  
Original Structure ◽  
Factor Solution ◽  
Confirmatory Factor ◽  
The Impact

Background and Purpose: The purpose of this study was to determine a factor structure for the Impact of Miscarriage Scale (IMS). The 24 items comprising the IMS were originally derived from a phenomenological study of miscarriage in women. Initial psychometric properties were established based on a sample of 188 women (Swanson, 1999a). Method: Data from 341 couples were subjected to confirmatory factor analysis (CFA) and exploratory factor analysis (EFA). Results: CFA did not confirm the original structure. EFA explained 57% of the variance through an 18-item, 4-factor structure: isolation and guilt, loss of baby, devastating event, and adjustment. Except for the Adjustment subscale, Cronbach’s alpha coefficients were ≥.78. Conclusion: Although a 3-factor solution is most defensible, with further refinement and additional items, the 4th factor (adjustment) may warrant retention.

Sources of Sport Confidence of Master Athletes

2004 ◽  
Vol 26 (3) ◽  
pp. 369-384 ◽  
Author(s):  
Rodney C. Wilson ◽  
Philip J. Sullivan ◽  
Nicholas D. Myers ◽  
Deborah L. Feltz
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Track And Field ◽  
Factor Analyses ◽  
Master Athletes ◽  
Mental Preparation ◽  
Confirmatory Factor ◽  
Exploratory Factor Analyses

This study examined sources of sport confidence and their relationship to trait sport confidence with master athletes. The study employed 216 athletes from 50 to 96 years of age in track and field, tennis, and swimming, using the Sources of Sport Confidence Questionnaire (SSCQ; Vealey, Hayashi, Garner-Holman, & Giacobbi, 1998). Confirmatory factor analysis failed to replicate the proposed 9-factor structure of the SSCQ. Exploratory factor analyses revealed an 8-factor structure with similar factors to the SSCQ, but with fewer items and the elimination of the situational favorableness factor. Physical/mental preparation and mastery were the highest ranked sources among the athletes. A simultaneous multiple regression analysis indicated that physical/mental preparation and demonstration of ability were significant predictors of trait sport confidence for master athletes. Our findings suggest that the SSCQ needs more psychometric work if it is to be used with this type of population.

scholarly journals Escala de Comunicación autopercibida en la relación de pareja (CARP)

2019 ◽  
Vol 35 (2) ◽  
pp. 314-322
Author(s):  
Maria-Teresa Iglesias-García ◽  
Antonio Urbano-Contreras ◽  
Raquel-Amaya Martínez-González
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Cross Validation ◽  
Couple Relationship ◽  
Good Reliability ◽  
Conflict Situations ◽  
Confirmatory Factor ◽  
Two Factors

Este estudio busca construir y validar la Escala de Comunicación autopercibida en la relación de pareja (CARP) con el fin de ofrecer un instrumento sencillo y útil. Participaron 620 personas que mantenían una relación de pareja. Para estudiar la estructura factorial de la escala se dividió aleatoriamente la muestra en dos submuestras, realizándose una validación cruzada mediante análisis factorial exploratorio (AFE) y análisis factorial confirmatorio (AFC). Asimismo, para comprobar que el modelo se mantenía estable al tener en cuenta la variable sexo, se repitió el análisis factorial confirmatorio con las submuestras de mujeres y de hombres y se aplicó un AFC Multigrupo para comprobar la invarianza factorial en función de esta variable. Se ha obtenido una escala de 8 ítems constituida por dos factores que explican el 46.6% de la varianza y que presenta una buena fiabilidad (α = .75), comprobándose la invarianza estricta en función del sexo. Esta escala puede ser útil en el campo de la detección, prevención e intervención en situaciones de conflicto entre la pareja. This study aims to design and validate the Scale of Self-perceived Communication in the Couple Relationship (SCCR) in order to provide a straightforward and useful instrument. 620 persons who were in a couple relationship took part in this study. The sample was divided randomly into two subsamples to study the factor structure of the scale, carrying out a cross-validation by using an exploratory factor analysis (EFA) and a confirmatory factor analysis (CFA). Also, and to verify that the model remained stable taking account of the variable gender, the confirmatory factor analysis was repeated with the women and men subsamples, and a multigroup CFA was carried out to check the factor invariance according to this variable An 8-items scale was obtained, made up with two factors explaining 46.6% of the variance who also reported a good reliability (α = .75), testing the strict invariance according to the gender. This scale might be useful in the field of detection, prevention and intervention of conflict situations in the couple relationship.

Exploratory Factor Analysis of the French Version of the Big Five Questionnaire for Children (BFQ-C)

2017 ◽  
Vol 76 (3) ◽  
pp. 125-130 ◽  
Author(s):  
Martine Bouvard ◽  
Jean-Luc Roulin
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Big Five ◽  
Goodness Of Fit ◽  
Internal Validity ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
French Version ◽  
Exploratory Factor Analyses

Abstract. This article examines the internal validity of the French version of the Big Five Questionnaire for Children (BFQ-C). We first performed confirmatory factor analyses (CFA) to determine the fit of the factor structure identified in previous research on the BFQ-C and then used exploratory factor analyses. A sample of 399 children (192 boys and 207 girls) recruited from elementary schools completed the BFQ-C in their classrooms. Participants were 8 to 12 years old with a mean age of 9.58 years (SD = 0.98). The results indicated poor goodness-of-fit statistics for the CFA solution. Exploratory factor analysis improved the model fit markedly over conventional CFA. The factor structure of the French version of the BFQ-C suggested reasonable fit for the five intercorrelated factors corresponding to the Big Five with the exploratory factor analyses, even if the fifth factor appeared to be more problematic than the other 4 factors.

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