Development of the Adherence to Healthy Behaviors Scale

2021 ◽  
pp. 105477382098862
Author(s):  
Chen-Hui Huang ◽  
Dhea Natashia ◽  
Tzu-Chia Lin ◽  
Miaofen Yen
Keyword(s):  
Factor Analysis ◽  
Protective Factor ◽  
Model Fit ◽  
Convenience Sample ◽  
Healthy Behaviors ◽  
Confirmatory Factor ◽  
Reliable Instrument ◽  
Principal Axis Factor Analysis ◽  
Southern Taiwan ◽  
Test Retest Reliability

Adherence to healthy behaviors is a protective factor in the disease progression of chronic kidney disease (CKD). Measuring adherence can lead to the recognition of unhealthy behaviors and the suggestion of programs to prevent poor health outcomes. An assessment measurement for patients with CKD not requiring dialysis was developed and psychometrically tested. A convenience sample ( n = 330) of patients with CKD attending a nephrology clinic in southern Taiwan completed the 13-item Adherence to Healthy Behaviors Scale (AHBS). A principal axis factor analysis and a parallel analysis demonstrated a three-factor structure accounting for 47.16% of the total variance. Confirmatory factor analysis indicated a good model fit. The criterion-related validity was adequate ( r = .51; p < .000), with a Cronbach’s alpha of .70; the test-retest reliability demonstrated good stability ( r = .70; p < .000). The AHBS is a valid, reliable instrument to assess adherence to healthy behaviors among patients with CKD.

Psychometric Testing: Self-Efficacy for Calorie Control and Exercise

2021 ◽  
pp. 105477382110649
Author(s):  
Li-Chun Hsiao ◽  
Chi-Jane Wang
Keyword(s):  
Factor Analysis ◽  
Weight Management ◽  
Self Efficacy ◽  
Psychometric Testing ◽  
Model Fit ◽  
Parallel Analysis ◽  
Convenience Sample ◽  
Confirmatory Factor ◽  
Reliable Instrument ◽  
Three Factor

Enhancing self-efficacy for calorie control and exercise is a crucial strategy for successful weight management. This study developed and psychometrically tested a 13-item quick checklist for assessing self-efficacy for calorie control and exercise (QCSE-CCE). A convenience sample of 425 adults between 18 and 69 years old completed the QCSE-CCE online. The principle axis factor analysis and a parallel analysis demonstrated a three-factor structure that accounts for 72.8% of the total variance. The confirmatory factor analysis indicated a good model fit (χ2/ df = 2.168, GFI = .913, AGFI = .873, RMR = .049, RMSEA = .073, CFI = .959). The predictive validity was adequate (.38 <  r < .39, p < .000), with Cronbach’s alphas ranging from .87 to .91. The test-retest demonstrated good stability ( r = .69; p < .001). The QCSE-CCE is a valid and reliable instrument for assessing self-efficacy for calorie control and exercise for weight management purposes.

Helping Relationships From Significant Others Scale: Chinese Version

2021 ◽  
pp. 105477382110609
Author(s):  
Shu-Mei Chao ◽  
Miaofen Yen ◽  
Hsiu-Lan Teng ◽  
Dhea Natashia ◽  
Fang-Ru Yueh
Keyword(s):  
Factor Analysis ◽  
Healthy Lifestyle ◽  
Significant Others ◽  
Convenience Sample ◽  
Helping Relationships ◽  
Confirmatory Factor ◽  
Principal Axis Factor Analysis ◽  
Southern Taiwan ◽  
Complications And Mortality ◽  
Promax Rotation

Using the helping relationships from significant others (HRSO) scale assists patients, such as those with chronic kidney disease (CKD), in adopting a healthy lifestyle to decelerate disease progression, complications, and mortality. To study the efficacy of the scale, we recruited a convenience sample ( n = 250) of patients with CKD from a nephrology clinic in southern Taiwan. Principal axis factor analysis and a promax rotation revealed a 15-item, three-factor explanation of 68.44 % of the total variance. The confirmatory factor analysis showed a good fit. The Composite reliability was .91, .89, and .92 in the same factors. Cronbach’s alpha was .90 for the 15-item scale, with the 3 subscales ranging from .86 to .91. The split reliability was .73. The HRSO is a valid and reliable scale to measure significant others’ support of patients with CKD in maintaining a healthy lifestyle.

scholarly journals The body appreciation scale-2: Translation and validation in the greek language

2020 ◽  
Vol 8 (1) ◽  
pp. 108-117 ◽  
Author(s):  
Marios Argyrides
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Convergent Validity ◽  
The Body ◽  
Greek Language ◽  
Body Appreciation ◽  
Greek Version ◽  
Confirmatory Factor ◽  
Principal Axis Factor Analysis ◽  
Test Retest Reliability

The psychometric properties of a Greek translation of the 10-item Body Appreciation Scale-2 (BAS-2) was examined. A total of 193 Greek-speaking female university students from Cyprus completed the BAS-2, along with measures of appearance satisfaction, investment in appearance, weight-related anxiety, self-esteem and body image quality of life. Principal-axis factor analysis indicated that the Greek version of the BAS-2 scores had a one-dimensional factor structure. A Confirmatory Factor Analysis confirmed the unidimesionality of the measure. Further analyses indicated that Greek BAS-2 scores evidenced internal consistency, test-retest reliability and convergent validity with the other variables of interest. These results suggest that the Greek version of the BAS-2 has adequate psychometric properties and can be used within the Greek-speaking populations.

scholarly journals Psychometric validation of the Carers of Older People in Europe Index among family caregivers of older persons with dementia

2018 ◽  
Vol 6 ◽  
pp. 205031211879281
Author(s):  
Jill-Marit Moholt ◽  
Oddgeir Friborg ◽  
Mari Wolff Skaalvik ◽  
Nils Henriksen
Keyword(s):  
Factor Analysis ◽  
Older People ◽  
Family Caregivers ◽  
Older Persons ◽  
Negative Impact ◽  
Model Fit ◽  
Dementia Caregivers ◽  
Confirmatory Factor ◽  
Test Retest Reliability

Objectives: The Carers of Older People in Europe Index is a first-stage assessment tool to detect family caregivers in need of support. This instrument assesses caregivers’ subjective perceptions of their caregiving circumstances. The present study examines the psychometric properties of the Norwegian version of the Carers of Older People in Europe Index among family caregivers for older persons with dementia living at home. Methods: Cross-sectional survey data were collected from 430 dementia caregivers. The sample was randomly split as follows: the first half of the sample was used to identify the measurement model using an exploratory factor analysis, and the second half of the sample was used to cross-validate the model using a confirmatory factor analysis. The criterion validity and reliability (internal consistency and test–retest reliability) of the Carers of Older People in Europe Index were also examined. Results: Using an exploratory factor analysis, we extracted three factors that were consistent with previous findings: negative impact of caregiving, positive values of caregiving and quality of support. This model fit the data well using a confirmatory factor analysis. Moreover, a second-order model could replace the three-factor correlated model without sacrificing the model fit, supporting the use of a global impact of caregiving score. The three factors and the global factor correlated with the criteria measures in the expected directions. The internal consistency was assessed using Cronbach’s alpha and was good for the negative impact ( α = 0.86) and the quality of support ( α = 0.76) factors. The positive values factor was less consistent ( α = 0.64). The test–retest reliability was examined using Spearman’s rank order correlation and was good for all three factors. Conclusion: The psychometric properties of the Norwegian version of the Carers of Older People in Europe Index are good. The instrument assesses dementia caregivers’ situations across three primary factors or alternatively validly summarizes the factors in a global impact of caregiving score.

scholarly journals Psychometric properties of the Attitudes Scale facing Alcohol and Alcoholism in nursing students

2016 ◽  
Vol 24 (0) ◽  
Author(s):  
Divane de Vargas ◽  
Fernanda Mota Rocha
Keyword(s):  
Factor Analysis ◽  
Nursing Students ◽  
Alcohol Use ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Internal Consistency ◽  
Factorial Structure ◽  
Convenience Sample ◽  
Confirmatory Factor ◽  
Reliable Instrument

ABSTRACT Objective: to verify the psychometric properties of the Attitudes Scale facing Alcohol and Alcoholism (EAFAA) and people with disorders related to the use of alcohol in nursing students. Method: a convenience sample (n=420) completed the EAFAA, the data were submitted to Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). Results: the EFA resulted in an instrument composed of 48 items divided into four factors. The CFA has established the validity of the factorial structure. The internal consistency of the scale was considered adequate (α=0.85) presenting a sensitivity of 70% and specificity of 75%. Conclusion: the EAFAA constitutes a reliable instrument to identify the attitudes of nursing students towards alcohol, alcoholism and persons with disorders related to alcohol use.

scholarly journals The Big Three Perfectionism Scale–Short Form (BTPS-SF): Development of a Brief Self-Report Measure of Multidimensional Perfectionism

2019 ◽  
Vol 38 (1) ◽  
pp. 37-52 ◽  
Author(s):  
Anita Feher ◽  
Martin M. Smith ◽  
Donald H. Saklofske ◽  
Rachel A. Plouffe ◽  
Claire A. Wilson ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Short Form ◽  
Well Being ◽  
Model Fit ◽  
Self Report ◽  
Subjective Well Being ◽  
Confirmatory Factor ◽  
Acceptable Model ◽  
Test Retest Reliability ◽  
Report Measure

The Big Three Perfectionism Scale (BTPS) is a 45-item self-report measure of perfectionism with three overarching factors: rigid, self-critical, and narcissistic perfectionism. Our objective was to create a brief version of the BTPS, the Big Three Perfectionism Scale–Short Form (BTPS-SF). Sixteen items were selected, and confirmatory factor analysis using a large sample of Canadian university students ( N = 607) revealed the BTPS-SF had acceptable model fit. Moreover, the BTPS-SF displayed strong test–retest reliability. The relationships of the BTPS-SF factors with depression, anxiety, stress, emotional intelligence, personality, resiliency, and elements of subjective well-being also suggested adequate criterion validity. Overall, results suggest the BTPS-SF represents an efficient, easily administered, and novel means of assessing multidimensional perfectionism.

Task and Relationship Conflict at Work

2011 ◽  
Vol 27 (3) ◽  
pp. 171-178 ◽  
Author(s):  
Nale Lehmann-Willenbrock ◽  
Anna Grohmann ◽  
Simone Kauffeld
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Negative Impact ◽  
Longitudinal Design ◽  
Industrial Sector ◽  
Task Conflict ◽  
Relationship Conflict ◽  
Factor Solution ◽  
Convenience Sample ◽  
Confirmatory Factor

The distinction between task and relationship conflict is well established. Based on Jehn’s (1995) intragroup conflict scale, we developed an economic six-item questionnaire for assessing relationship and task conflict in work groups. Confirmatory factor analysis was performed on data from a convenience sample (N = 247), and confirmed the original two-factor solution. The stability of the obtained two-factor solution was supported by confirmatory factor analysis in a longitudinal design with a second sample (N = 431) from the industrial sector. In line with previous research, the two types of conflict were intercorrelated. Moreover, the two subscales showed differential longitudinal effects on team outcomes. Task conflict was beneficial for performance in nonroutine tasks (but not in routine tasks). Relationship conflict had a negative impact on team viability and coworker trust.

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.

Probability-Based and Measurement-Related Hypotheses With Full Restriction for Investigations by Means of Confirmatory Factor Analysis

Methodology ◽  
2011 ◽  
Vol 7 (4) ◽  
pp. 157-164
Author(s):  
Karl Schweizer
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Processing ◽  
Latent Variables ◽  
Repeated Measures ◽  
Latent Variable ◽  
Model Fit ◽  
Repeated Measures Data ◽  
Confirmatory Factor ◽  
And Performance

Probability-based and measurement-related hypotheses for confirmatory factor analysis of repeated-measures data are investigated. Such hypotheses comprise precise assumptions concerning the relationships among the true components associated with the levels of the design or the items of the measure. Measurement-related hypotheses concentrate on the assumed processes, as, for example, transformation and memory processes, and represent treatment-dependent differences in processing. In contrast, probability-based hypotheses provide the opportunity to consider probabilities as outcome predictions that summarize the effects of various influences. The prediction of performance guided by inexact cues serves as an example. In the empirical part of this paper probability-based and measurement-related hypotheses are applied to working-memory data. Latent variables according to both hypotheses contribute to a good model fit. The best model fit is achieved for the model including latent variables that represented serial cognitive processing and performance according to inexact cues in combination with a latent variable for subsidiary processes.

A Comparison of Reliability Estimation Based on Confirmatory Factor Analysis and Exploratory Structural Equation Models

2021 ◽  
pp. 001316442110089
Author(s):  
Yuanshu Fu ◽  
Zhonglin Wen ◽  
Yang Wang
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Reliability Estimation ◽  
Model Fit ◽  
Equation Modeling ◽  
Factor Loadings ◽  
Reliability Estimates ◽  
Confirmatory Factor ◽  
Composite Reliability

Composite reliability, or coefficient omega, can be estimated using structural equation modeling. Composite reliability is usually estimated under the basic independent clusters model of confirmatory factor analysis (ICM-CFA). However, due to the existence of cross-loadings, the model fit of the exploratory structural equation model (ESEM) is often found to be substantially better than that of ICM-CFA. The present study first illustrated the method used to estimate composite reliability under ESEM and then compared the difference between ESEM and ICM-CFA in terms of composite reliability estimation under various indicators per factor, target factor loadings, cross-loadings, and sample sizes. The results showed no apparent difference in using ESEM or ICM-CFA for estimating composite reliability, and the rotation type did not affect the composite reliability estimates generated by ESEM. An empirical example was given as further proof of the results of the simulation studies. Based on the present study, we suggest that if the model fit of ESEM (regardless of the utilized rotation criteria) is acceptable but that of ICM-CFA is not, the composite reliability estimates based on the above two models should be similar. If the target factor loadings are relatively small, researchers should increase the number of indicators per factor or increase the sample size.

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