scholarly journals Psychometric properties of the Chinese version of Five Facet Mindfulness Questionnaire—short form in cancer patients: a Bayesian structural equation modeling approach

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Ted C. T. Fong ◽  
Adrian H. Y. Wan ◽  
Venus P. Y. Wong ◽  
Rainbow T. H. Ho
Keyword(s):  
Psychometric Properties ◽  
Cancer Patients ◽  
Structural Equation ◽  
Short Form ◽  
Equation Modeling ◽  
Five Facet Mindfulness Questionnaire ◽  
Health Measures ◽  
Acting With Awareness ◽  
Colorectal Cancer Patients ◽  
Bayesian Structural Equation Modeling

Abstract Background Mindfulness has emerged as an important correlate of well-being in various clinical populations. The present study evaluated the psychometric properties of the 20-item short form of the Five Facet Mindfulness Questionnaire (FFMQ-SF) in the Chinese context. Methods The study sample was 127 Chinese colorectal cancer patients who completed the FFMQ-SF and validated physical and mental health measures. Factorial validity of the FFMQ-SF was assessed using Bayesian structural equation modeling (BSEM) via informative priors on cross-loadings and residual covariances. Linear regression analysis examined its convergent validity with the health measures on imputed datasets. Results The five-factor BSEM model with approximate zero cross-loadings and one residual covariance provided an adequate model fit (PPP = 0.07, RMSEA = 0.06, CFI = 0.95). Satisfactory reliability (ω = 0.77–0.85) was found in four of the five facets (except nonjudging). Acting with awareness predicted lower levels of perceived stress, negative affect, anxiety, depression, and illness symptoms (β = − 0.37 to − 0.42) and better quality of life (β = 0.29–0.32). Observing, nonjudging, and nonreacting did not show any significant associations (p > .05) with health measures. Acting with awareness was not significantly correlated (r < 0.15) with the other four facets. Conclusion The present findings provide partial support for the psychometric properties of the FFMQ-SF in colorectal cancer patients. The nonjudging facet showed questionable validity and reliability in the present sample. Further studies with larger sample sizes are needed to elucidate the viability of FFMQ-SF as a measure of mindfulness facets in cancer patients.

Validating the Factor Structure of the Stigma of Suicide Scale–Short Form Spanish Version Among Healthcare Students

Crisis ◽  
2020 ◽  
pp. 1-5
Author(s):  
Ruthmarie Hernández-Torres ◽  
Paola Carminelli-Corretjer ◽  
Nelmit Tollinchi-Natali ◽  
Ernesto Rosario-Hernández ◽  
Yovanska Duarté-Vélez ◽  
...  
Keyword(s):  
Factor Structure ◽  
Structural Equation ◽  
Short Form ◽  
Small Sample Size ◽  
Small Sample ◽  
Spanish Version ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Healthcare Students ◽  
Spanish Speaking

Abstract. Background: Suicide is a leading cause of death among Spanish-speaking individuals. Suicide stigma can be a risk factor for suicide. A widely used measure is the Stigma of Suicide Scale-Short Form (SOSS-SF; Batterham, Calear, & Christensen, 2013 ). Although the SOSS-SF has established psychometric properties and factor structure in other languages and cultural contexts, no evidence is available from Spanish-speaking populations. Aim: This study aims to validate a Spanish translation of the SOSS-SF among a sample of Spanish-speaking healthcare students ( N = 277). Method: We implemented a cross-sectional design with quantitative techniques. Results: Following a structural equation modeling approach, a confirmatory factor analysis (CFA) supported the three-factor model proposed by Batterham and colleagues (2013) . Limitations: The study was limited by the small sample size and recruitment by availability. Conclusion: Findings suggest that the Spanish version of the SOSS-SF is a valid and reliable tool with which to examine suicide stigma among Spanish-speaking populations.

Further Insights Into the German Version of the Multidimensional Assessment of Interoceptive Awareness (MAIA)

2019 ◽  
Vol 35 (3) ◽  
pp. 317-325 ◽  
Author(s):  
Dorota Reis
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Interoceptive Awareness ◽  
Multidimensional Assessment ◽  
New Instrument ◽  
Confirmatory Factor ◽  
Complex Models ◽  
Approximate Zero ◽  
Bayesian Structural Equation Modeling

Abstract. Interoception is defined as an iterative process that refers to receiving, accessing, appraising, and responding to body sensations. Recently, following an extensive process of development, Mehling and colleagues (2012) proposed a new instrument, the Multidimensional Assessment of Interoceptive Awareness (MAIA), which captures these different aspects of interoception with eight subscales. The aim of this study was to reexamine the dimensionality of the MAIA by applying maximum likelihood confirmatory factor analysis (ML-CFA), exploratory structural equation modeling (ESEM), and Bayesian structural equation modeling (BSEM). ML-CFA, ESEM, and BSEM were examined in a sample of 320 German adults. ML-CFA showed a poor fit to the data. ESEM yielded a better fit and contained numerous significant cross-loadings, of which one was substantial (≥ .30). The BSEM model with approximate zero informative priors yielded an excellent fit and confirmed the substantial cross-loading found in ESEM. The study demonstrates that ESEM and BSEM are flexible techniques that can be used to improve our understanding of multidimensional constructs. In addition, BSEM can be seen as less exploratory than ESEM and it might also be used to overcome potential limitations of ESEM with regard to more complex models relative to the sample size.

scholarly journals Development and Validation of Learning Style Scale for E-Learners

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110223
Author(s):  
Nabia Luqman Siddiquei ◽  
Ruhi Khalid
Keyword(s):  
Factor Analysis ◽  
Learning Styles ◽  
Psychometric Properties ◽  
Learning Style ◽  
Structural Equation ◽  
Sampling Technique ◽  
Equation Modeling ◽  
Scale Scores ◽  
Significant Addition ◽  
Development And Validation

The present study aimed to develop an indigenous measure of learning styles for e-learners in Pakistan and to establish its psychometric properties. The objectives of the study were attained via three studies. First, the items for the development of the Learning Style Scale for e-Learners (e-LSS) were generated empirically based on a 5-point Likert-type scale. In Study I, the internal consistency and dimensionality of the measure were determined by sampling 360 e-learners aged from 20 to 40 years through a convenient sampling technique, whereas other demographic characteristics were kept in close consideration. For this purpose, exploratory factor analysis was utilized. In Study II of scale development, the factor structure that emerged in Study I was confirmed via confirmatory factor analysis using structural equation modeling. In Study III, the convergent and divergent validities of the newly constructed scale were established by correlating scores with preestablished scale scores that assess the similar construct (i.e., LSS) and with scores on the discriminant construct (i.e., Solving Problems Survey). The sample for this study consisted of 80 e-learners aged from 20 to 40 years. A total of 29 items were confirmed in the final scale with 8 distinctive factors (namely, visual, auditory, kinesthetic, global, analytical, individual, collaborative, and technological type) with sound psychometric properties. To conclude, the newly constructed scale was a significant addition to assess learning styles particularly of e-learners in the context of Pakistan.

The relationship between attraction, perception of service, opportunities and tourist satisfaction in backwater tourism in Alappuzha district of Kerala in India

2021 ◽  
pp. 146735842110440
Author(s):  
Legy Clara Joseph ◽  
Vasanthi Soundararajan ◽  
Satyanarayana Parayitam
Keyword(s):  
Structural Equation Modeling ◽  
Psychometric Properties ◽  
Conceptual Model ◽  
Structural Equation ◽  
Positive Relationship ◽  
Measurement Model ◽  
Equation Modeling ◽  
Tourist Satisfaction ◽  
Tourism And Hospitality ◽  
The Relationship

This article aims to explore the relationships between destination attractions, tourists’ awareness of eco-tourism and facilities, level of perceived service, opportunities and problems, and tourist satisfaction in backwater tourism in Kerala, India. Using a structured survey instrument, we gathered data from 586 tourists. A conceptual model was developed and tested after checking the psychometric properties of the instrument. We tested the measurement model using the Lisrel package (structural equation modeling), and Hayes (2018) process macros were used to test the moderation hypotheses. The results confirm that (i) attraction and opportunities are positively related to tourist satisfaction, (ii) perception of service positively moderates the relationship between attraction and tourist satisfaction, (iii) perception of service (first moderator) and awareness (second moderator) interact to influence the relationship between attraction and tourist satisfaction, and (iv) problems negatively moderate the positive relationship between opportunities and tourist satisfaction. The implications for the literature on tourism and hospitality and practicing managers are discussed.

scholarly journals Attitudinal and normative responses to advertising stimuli and vaping intentions

2020 ◽  
pp. 147078532092920
Author(s):  
Abraham Brown ◽  
Seamus Allison
Keyword(s):  
Structural Equation ◽  
Cross Sectional Study ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Gas Stations ◽  
Cigarette Advertising ◽  
Retail Outlets ◽  
Former Smokers ◽  
Never Smokers ◽  
Bayesian Structural Equation Modeling

Empirical data to show whether exposure to e-cigarette advertising stimuli may influence former- and never-smokers to consider vaping is lacking. We examined whether former- and never-smokers’ cognitive, affective, and normative responses to e-cigarette stimuli in retail outlets will predict their vaping intention. A repeat cross-sectional study recruited 876 participants aged 18–24 years at Waves 1 and 2 in the United Kingdom. Bayesian structural equation modeling tested mediation and moderation effects of the variables of interest. Results from Waves 1 and 2 revealed that the association of salience of e-cigarette advertising in stores and gas stations with vaping intention was mediated by affect and subjective norms among former smokers. Cognitive attitudes of never smokers mediated the relationship between salience of e-cigarette advertising in retail outlets and vaping intention at Waves 1 and 2. Former smokers were more likely to hold stronger affect toward vaping than never smokers at Wave 2. Our study supports the need for stronger policies to restrict e-cigarette portrayals in retail outlets, as advertising messages can trigger strong thoughts, feelings, and norms of vaping. Interventions may benefit from including attitudinal and normative components to promote pro-social behavior.

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