Latent structure of the symptomatology of hospitalized patients with bipolar mania

2014 ◽  
Vol 29 (7) ◽  
pp. 431-436 ◽  
Author(s):  
A. Filgueiras ◽  
A.L.S. Nunes ◽  
L.A.S. Silveira ◽  
R. de Assis da Silva ◽  
R.O. da Silva ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Psychiatric Symptoms ◽  
Latent Structure ◽  
Future Studies ◽  
Confirmatory Factor ◽  
Separate Dimension ◽  
Manic Patients ◽  
Best Fit

AbstractSeveral studies have attempted to understand the dimensions of psychiatric symptoms in manic episodes, but only a few have been able to model the latent structure of mania in bipolar disorder patients using confirmatory factor analysis. The objective of the present study was to search for the best model of the symptomatology of hospitalized manic patients. To achieve this goal, 117 manic inpatients during a manic crisis participated in this research. Exploratory factor analysis was conducted followed by confirmatory factor analysis using an exploratory factor analysis solution and three other theory-based models. The exploratory factor analysis results revealed a six-factor structure: depression, suicide, insomnia, mania, psychosis, and anxiety. This solution also presented the best fit to the data when tested with confirmatory factor analysis. A five-factor solution, without suicide as a separate dimension, appeared to be more theoretically suitable. Another important finding was that anxiety was an independent dimension in mania. Some hypotheses are discussed in light of contemporary theories, and future studies should investigate this aspect further.

Confirmatory Factor Analysis of the Computer Hassles Scale

1998 ◽  
Vol 83 (3) ◽  
pp. 883-890
Author(s):  
Richard A. Hudiburg
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Goodness Of Fit ◽  
Factor Model ◽  
A Priori ◽  
Latent Structure ◽  
Fit Indices ◽  
Normative Database ◽  
Confirmatory Factor ◽  
Best Fit

The objective of this research was to determine the latent structure of the Computer Hassles Scale using confirmatory factor analysis. This study employed a normative database of 1199 student computer users. Both a priori and a posteriori latent structure models were tested using LISREL. The analyses did not support a latent structure of the scale based on the scale's original two-factor definition. Using various goodness-of-fit indices, a four-factor model was the best fit.

The Hierarchical Model of Exercise Dependence

2015 ◽  
Vol 36 (4) ◽  
pp. 247-257 ◽  
Author(s):  
Gayatri Kotbagi ◽  
Laurence Kern ◽  
Lucia Romo ◽  
Ramesh Pathare
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Physical Exercise ◽  
Exploratory Factor Analysis ◽  
Convergent Validity ◽  
Large Population ◽  
Assessment Tools ◽  
Negative Consequences ◽  
Confirmatory Factor ◽  
Preliminary Version

Abstract. Physical exercise when done excessively may have negative consequences on physical and psychological wellbeing. There exist many scales to measure this phenomenon. The purpose of this article is to create a scale measuring the problematic practice of physical exercise (PPPE Scale) by combining two assessment tools already existing in the field of exercise dependency but anchored in different approaches (EDS-R and EDQ). This research consists of three studies carried out on three independent sample populations. The first study (N = 341) tested the construct validity (exploratory factor analysis); the second study (N = 195) tested the structural validity (confirmatory factor analysis) and the third study (N = 104) tested the convergent validity (correlations) of the preliminary version of the PPPE scale. Exploratory factor analysis identified six distinct dimensions associated with exercise dependency. Furthermore, confirmatory factor analysis validated a second order model consisting of 25 items with six dimensions and four sub-dimensions. The convergent validity of this scale with other constructs (GLTEQ, EAT26, and The Big Five Inventory [BFI]) is satisfactory. The preliminary version of the PPPE must be administered to a large population to refine its psychometric properties and develop scoring norms.

Equivalent Factorial Structure of the Brief Symptom Inventory (BSI) in Clinical and Nonclinical Jordanian Populations

2010 ◽  
Vol 26 (2) ◽  
pp. 116-121 ◽  
Author(s):  
Fawzi S. Daoud ◽  
Amjed A. Abojedi
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Clinical Sample ◽  
Brief Symptom Inventory ◽  
Factorial Structure ◽  
Symptom Inventory ◽  
Confirmatory Factor ◽  
Item Checklist ◽  
General Psychological Distress

This study investigates the equivalent factorial structure of the Brief Symptom Inventory (BSI) in clinical and nonclinical Jordanian populations, using both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The 53-item checklist was administered to 647 nonclinical participants and 315 clinical participants. Eight factors emerged from the exploratory factor analysis (EFA) for the nonclinical sample, and six factors emerged for the clinical sample. When tested by parallel analysis (PA) and confirmatory factor analysis (CFA), the results reflected a unidimensional factorial structure in both samples. Furthermore, multigroup CFA showed invariance between clinical and nonclinical unidimensional models, which lends further support to the evidence of the unidimensionality of the BSI. The study suggests that the BSI is a potentially useful measure of general psychological distress in clinical and nonclinical population. Ideas for further research are recommended.

Understanding Perception of Weight Stigma: Development and Validation of Perceived Weight Stigmatization Scale

2020 ◽  
Vol 34 (4) ◽  
pp. 869-897
Author(s):  
Atiqa Rafeh ◽  
Rubina Hanif
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
University Students ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Weight Stigma ◽  
Principal Component Factor Analysis ◽  
Confirmatory Factor ◽  
Perceived Weight ◽  
Weight Stigmatization

The present study was intended to develop a scale to measure perceived weight stigmatization among people with obesity. The study was conducted in five steps. In first step, three focus group discussions were conducted with female obese university students to get the first-hand information related to weight stigmatization. Step two involved four interviews which were conducted with male obese university students to collect detailed information about weight stigmatization experiences of men. Step three included content analysis of qualitative data for item generation. In step four, judge’s opinion was taken, and a committee approach was carried out to select the items for the initial form of the scale. Items for final form of the scale were selected through exploratory factor analysis and confirmatory factor analysis in step five. For exploratory factor analysis, 150 university students (men = 61, women = 89) were included in the sample, whereas, for confirmatory factor analysis, another group of students (men = 78, women = 72) participated in the study. Principal Component Factor Analysis revealed three meaningful structures including Self-Perception, Perceived Social Rejection, and Perceived Impact containing 43 items. Confirmatory factor analysis confirmed this factor structure and all 43 items possessed factor loadings greater than .40. Moreover, results indicated that perceived weight stigmatization had high internal consistency (Cronbach’s alpha = .96) with three subscales having internal consistency .95, .83, and .92 respectively. Therefore, Perceived Weight Stigmatization Scale turned out to be a reliable and valid instrument for measuring perception of weight stigma in adults with obesity.

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 Spanish-Mexican Version of the Australian Breastfeeding Attitude Questionnaire in Higher Education Health Students

2021 ◽  
Vol 18 (9) ◽  
pp. 4609
Author(s):  
Gabriela Alejandra Grover-Baltazar ◽  
Gabriela Macedo-Ojeda ◽  
Ana Sandoval-Rodríguez ◽  
Marianne Martínez-Vizmanos ◽  
Lucrecia Carrera-Quintanar ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Cronbach’S Alpha ◽  
Cronbach's Alpha ◽  
Positive Attitudes ◽  
Confirmatory Factor ◽  
Valid Instrument ◽  
The One ◽  
Breastfeeding Attitudes

Positive attitudes towards breastfeeding in health professionals/students have been associated with increasing their confidence to provide support and accompaniment to mothers. In Mexico, there is no valid/reliable tool to assess attitudes towards breastfeeding in this population. The Australian Breastfeeding Attitudes (and Knowledge) Questionnaire (ABAQ) measures attitudes in the Australian population. We aimed to adapt and validate the ABAQ in Mexican health students. We included 264 health students (nursing, nutrition, and medicine) from the University of Guadalajara. Bilingual translators carried out the Spanish adaptation with a reverse translation into English. Experts evaluated the content validity. Reliability was evaluated through an internal consistency analysis (Cronbach’s alpha) and construct validity through convergent–divergent validation, item–total correlation, exploratory factor analysis (by principal components), and confirmatory factor analysis. According to the exploratory factor analysis, only one component was identified. Seven items were removed (low correlation between items ≤0.2 and low factor load ≤0.3). The Cronbach’s alpha was 0.78. According to the confirmatory factor analysis, the one-factor solution of the ABAQ-13Mx showed a good model fit (X2 = 98.41, G = 62, p = 0.02, CFI = 0.940, and RMSEA = 0.048). The ABAQ-13Mx is a reliable and valid instrument for evaluating attitudes towards breastfeeding in Mexican health degree students.

Development and Validation of a Perceived Barriers to Physical Activity Scale for Low-Income Adolescents

2021 ◽  
pp. 1-9
Author(s):  
Cheng Li ◽  
Christy Hullings ◽  
Wei Wang ◽  
Debra M. Palmer Keenan
Keyword(s):  
Physical Activity ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Low Income ◽  
Concurrent Validity ◽  
Intraclass Correlation ◽  
Perceived Barriers ◽  
Confirmatory Factor ◽  
Fit Index

Background: Low-income adolescents’ physical activity (PA) levels fall below current recommendations. Perceived barriers to physical activity (PBPA) are likely significant predictors of PA levels; however, valid and reliable measures to assess PA barriers are lacking. This manuscript describes the development of the PBPA Survey for Low-Income Adolescents. Methods: A mixed-method approach was used. Items identified from the literature and revised for clarity and appropriateness (postcognitive interviews) were assessed for test–retest reliability with 74 adolescents using intraclass correlation coefficient. Items demonstrating low intraclass correlation coefficients or floor effects were removed. Both exploratory factor analysis and confirmatory factor analysis analyses (n = 1914 low-income teens) were used to finalize the scale; internal consistency was assessed by Cronbach’s alpha. Concurrent validity was established by correlating the PBPA with the PA questionnaire for adolescents using a Spearman correlation. Results: The exploratory factor analysis yielded a 38-item, 7-factor solution, which was cross-validated by confirmatory factor analysis (comparative-fit index, nonnormed fit index = .90). The scale’s Cronbach’s alpha was .94, with subscales ranging from .70 to .88. The PBPA Survey for Low-Income Adolescents’ concurrent validity was supported by a negative PA questionnaire for adolescents’ correlation values. Conclusion: The PBPA Survey for Low-Income Adolescents can be used to better understand the relationship between PBPA among low-income teens. Further research is warranted to validate the scale with other adolescent subgroups.

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.

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