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Psychometric Properties Of The Highly Sensitive Person Scale In Mexican Population.

ABSTRACT: Sensory Processing Sensitivity (SPS) is a genetically-determined trait that allows people to notice external and internal subtleties in sensory stimuli easily. This feature provides certain advantages to those who possess it, such as, greater empathy, artistic tastes or skills, also, this people can get greater benefit in circumstances with little exposure to sensory input. However, an unfavorable feature of the trait is an increased vulnerability to development psychopathology. In Mexico there is not an instrument to assess the presence of the SPS, thus, the purpose of this research was to analyze the psychometric properties of the Highly Sensitive Person Scale (HSP Scale) in Mexican population. The results showed that the adaptation of HSP Scale has adequate psychometric properties, so the essential contribution of this study is to provide a reliable and valid instrument that allows to discriminate the presence of the SPS.

SUBMITTER: Montoya-Perez KS

PROVIDER: S-EPMC6890200 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Psychometric Properties Of The Highly Sensitive Person Scale In Mexican Population.

Montoya-Pérez Karina Salud KS Ortega Jorge Isaac Manuel JIM Montes-Delgado Roberto R Padrós-Blázquez Ferrán F de la Roca Chiapas José María JM Montoya-Pérez Rocío R

Psychology research and behavior management 20191129

Sensory Processing Sensitivity (SPS) is a genetically-determined trait that allows people to notice external and internal subtleties in sensory stimuli easily. This feature provides certain advantages to those who possess it, such as, greater empathy, artistic tastes or skills, also, this people can get greater benefit in circumstances with little exposure to sensory input. However, an unfavorable feature of the trait is an increased vulnerability to development psychopathology. In Mexico there ...[more]

PMID: 31819683

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Project description:ObjectiveTo determine the psychometric properties of the Person-Centered Therapeutic Relationship in Physiotherapy Scale (PCTR-PT) in order to find the most appropriate fit for the tool.MethodsPatients who had received treatment at the physiotherapy service of nine hospitals in Spain were invited to complete the 31 items of the PCTR-PT scale. To select the most appropriate items of the PCTR-PT, an exploratory factorial analysis (EFA) was performed using the maximum likelihood and oblique rotation (promin) methods. Factor validity, goodness-of-fit and psychometric properties were analyzed by confirmatory factor analysis (CFA). Convergent (CFA) and discriminant validity were calculated. Internal consistency was verified using the Cronbach's alpha coefficient. The intraclass correlation coefficient (ICC) was used to examine temporal stability.Results366 patients over 18 years old who had received, at least, 15 physiotherapy treatment sessions completed the questionnaire. The results of the exploratory factor analysis revealed a tool with 15 items in four factors [Relational Bond (N items = 4); Individualized Partnership (N items = 4); Professional Empowerment (N items = 3) and Therapeutic Communication (N items = 4)], explaining 78.4% of the variance of the total variables of this tool. The confirmatory factor analysis further confirmed the four-structure model. Reliability of the tool was approved by Cronbach's alpha in all four dimensions, as all were above .70, ranging from .84 (Individualized Partnership) to .91 (Professional Empowerment). = 0.94. Test-retest was performed with two-week intervals, indicating an appropriate stability for the scale (ICC = 0.900).ConclusionThe Person-Centered Therapeutic Relationship in Physiotherapy Scale (PCTR-PT) is a useful, valid and applicable instrument to evaluate the person-centered therapeutic relationship during physiotherapy interventions. It would be interesting to investigate the predictive capacity (sensitivity and specificity) of the PCTR-PT scale.

Project description:Purpose: To evaluate the factor structure and psychometric properties of the 10-item Family Communication Scale (FCS) in the Chinese population. Methods: Study 1 was a population-based survey [N = 687, 61.1% female; mean age (SD) 56.6 (19.1)]. Study 2 was a community-based intervention (N = 1983, 76.7% female; 57.8% aged 20-59 years). We conducted exploratory factor analysis (EFA) in Study 1 and replicated the model by confirmatory factor analysis (CFA) in Study 2. Psychometric properties were evaluated, including internal consistency, test-retest reliability, convergent and discriminant validity, and known-group validity. We identified how the FCS scores differed by sociodemographic characteristics and communication methods including face to face and Information and Communication Technologies (ICTs) in Study 1. Results: The EFA and CFA supported a one-factor structure. The Chinese FCS showed a good internal consistency (Cronbach's alpha = 0.91; McDonald's Omega = 0.91) and was stable over 1-month (intraclass correlation coefficient = 0.69, P < 0.001). Convergent validity was supported by positive correlations of FCS with the Subjective Happiness Scale, Family Adaption, Partnership, Growth, Affection, Resolve (APGAR) Scale, family health, harmony, and happiness, and perceived family communication sufficiency and quality (All P < 0.001). Discriminant validity was supported by the stronger correlation of FCS with Short Form-12 Health Survey Version 2 Mental Component than that with Physical Component (P < 0.001). Higher household income, frequent face-to-face communication, and frequent use of phone calls, instant messaging, and social networking sites were associated with higher FCS scores. Conclusion: The one-factor structure of the Chinese FCS can be a reliable and valid measurement of positive family communication, in the context of ICT integration into family communication. Clinical Trial Registration: [www.ClinicalTrials.gov], identifier [NCT02563613].

Project description:IntroductionDrug dependence and the resultant problems notably decrease the quality of life (QOL). Measuring the QOL in persons who use drugs (PWUDs) and planning to improve it can be helpful for rehabilitation programs. Given the absence of a standard tool to measure the quality of life of PWUD, the present study is an attempt to validate psychometric and cultural characteristics of non-injection drug users' QOL scale.MethodThe study was carried out as a validation and methodological work. The study population consisted of 273 PWUDs in Kermanshah-based drug clinics including outgoing and hospitalized patients. The participants were selected through convenient-quota sampling. After securing the required permission from the copyright owner of the tool, it was forward/backward translated. Face validity and content validity were determined quantitatively and qualitatively. To examine construct validity of the tool, explorative factor analysis and confirmatory factor analysis were used. Internal consistency was measured using Cronbach's alpha and statistical analyses were performed using SPSS (v.25) and LISREL (v.8).ResultsExplorative factor analysis (EFA) and confirmatory factor analysis (CFA) results supported the tool with one factor and 22 items. The R2 index in the model was equal to 0.99, which means that 99% of the variation of dependent variable (total score of QOL) is attributed to independent variable (22 statements). In other words, 99% of the variation of dependent variable is due to the independent variables in the model. The main indices of the model based on CFA all were higher than 0.9, which indicates goodness of fit of the model (χ2/DF = 2.18, CFI, NFI, TLI = 0.93 GF = 0.84, REMSEA = 0.066, R2 = 0.99). The correlative coefficient was significant (p < 0.05). The reliability of the tool based on internal consistency (Cronbach's alpha) for the subscales ranged from 0.84 to 0.85 and equal to 0.84 for the whole tool.ConclusionThe Farsi version of non-injection drug users' QOL scale had acceptable indices and it was applicable to assess QOL in the target population. The tool can be used in different fields of drug addiction.

Dataset Information

Psychometric Properties Of The Highly Sensitive Person Scale In Mexican Population.

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Psychometric Properties Of The Highly Sensitive Person Scale In Mexican Population.

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