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.

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.

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 Confirmatory Factor Analysis of the Athlete Sleep Behavior Questionnaire

2021 ◽  
Author(s):  
Emilie N. Miley ◽  
Bethany L. Hansberger ◽  
Madeline Casanova ◽  
Russell T. Baker ◽  
Michael A. Pickering
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Collegiate Athletes ◽  
Model Fit ◽  
Sleep Behavior ◽  
Invariance Testing ◽  
Group Invariance ◽  
Confirmatory Factor ◽  
Alternate Model ◽  
Three Factor

Abstract Context: Sleep has long been understood as an essential component for overall well-being, significantly impacting physical health, cognitive functioning, mental health, and quality of life. Currently, the Athlete Sleep Behavior Questionnaire (ASBQ) is the only known instrument designed to measure sleep behaviors in the athletic population. However, the psychometric properties of the scale in a collegiate student-athlete and dance population have not been established. Objective: To assess model fit of the ASBQ using a sample of collegiate student-athletes and competitive dancers. Design: Observational study. Setting: Twelve colleges and universities. Patients or Other Participants: Student-athletes and dancers competing at the collegiate level. Main Outcome Measure(s): A confirmatory factor analysis (CFA) was conducted to assess the factor structure of the ASBQ. Principal component analysis (PCA) extraction and covariance modeling analyses were performed to identify an alternate model. Multi-group invariance testing was performed on the alternate model to identify if group differences existed between sex, athletic activity, injury status, and division of competition. Results: The CFA on the ASBQ indicated the model did not meet recommended model fit indices. An alternate three-factor, nine-item model with improved fit was identified; however, the scale structure was not consistently supported during multi-group invariance testing procedures. Conclusions: The original three factor, 18-item ASBQ was not supported for use with collegiate athletes in our study. The alternate ASBQ was substantially improved; however, more research should be completed to ensure the nine-item instrument accurately captures all dimensions of sleep behavior relevant for collegiate athletes.

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.

Construction and Validation of a Self-Efficacy Scale for Latex Barrier Use

2016 ◽  
Vol 19 ◽  
Author(s):  
Vicente Morell-Mengual ◽  
María Dolores Gil-Llario ◽  
Jesús Castro-Calvo
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Condom Use ◽  
Self Efficacy ◽  
Convergent Validity ◽  
Hiv Transmission ◽  
Confirmatory Factor ◽  
Two Factors ◽  
Preventive Methods ◽  
Negative Expectations

AbstractSome studies have concluded there is a relationship between perceived self-efficacy and behaviors that prevent HIV transmission. This paper presents the construction and validation of the latex barrier use self-efficacy scale (LBSS), which 480 participants filled out. Exploratory factor analysis yielded two components: positive expectations of self-efficacy (ES-POS) and negative expectations of self-efficacy (ES-NEG), which together accounted for 65.59% of total variance. That structure was later verified through confirmatory factor analysis. Internal consistency was .80 for the total scale, and .78 for each of the two factors. Moreover, the instrument had adequate convergent validity and was positively related with condom use self-efficacy, attitudes toward condom and latex barrier use, and ability to refuse sex if the partner refuses to use preventive methods. In conclusion, this instrument is a useful measure of self-efficacy in latex barrier use.

Physical Activity Health Literacy in Iranian Older Adults: Development and Psychometric Testing

2021 ◽  
pp. 1-9
Author(s):  
Moeini Babak ◽  
Barati Majid ◽  
Heidarimoghadam Rashid ◽  
Tapak Leili ◽  
Parsamajd Shahryar
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Factor Analysis ◽  
Health Literacy ◽  
Phase 1 ◽  
Intraclass Correlation ◽  
Psychometric Testing ◽  
Validity And Reliability ◽  
Confirmatory Factor ◽  
Two Phases

Inadequate health literacy decreases physical activity. This study aimed to develop and examine psychometrics of physical activity health literacy in Iranian older adults. This methodological work was conducted in two phases. Phase 1 consisted of extensive studies review and qualitative study to extract and design the items. The psychometrics were measured in Phase 2 included content, faceconstruct validities, reliability, and stability. The collected data were analyzed in SPSS (version 25.0) and AMOS (version 24.0). The results of the exploratory factor analysis showed four factors— information evaluation, reading skill, perception, and decision making—and used information that explained 70.08% of the variance. The model’s fitness was supported by confirmatory factor analysis. Internal consistency based on Cronbach’s alpha was .89 with composite reliability >0.85. Stability was confirmed through the test–retest method and intraclass correlation coefficient (.89–1). Psychometrics of physical activity health literacy in Iranian older adults supported validity and reliability of the tool.

Sign in / Sign up

Export Citation Format

Share Document