Objective: To identify dietary patterns in women who are planning immediate pregnancy in preconception, weeks 6, 10, 26 and 38 of pregnancy, and 6 months postpartum, and to describe how particular lifestyles, the body mass index (BMI) and sociodemographic factors are associated to these patterns. Design: Longitudinal study throughout the reproductive cycle of food consumption carried out in a Spanish Mediterranean city. Setting: Faculty of Medicine and Health Sciences, Rovira i Virgili University. Subjects: In total, 80 healthy female volunteers who were planning immediate pregnancy. Interventions: A seven-consecutive-day dietary record was used to evaluate the dietary intake. Exploratory factor analysis was used to identify the main dietary patterns in each of the periods. Fitted multiple linear regression models were used to study the associations between the lifestyle and sociodemographic variables, and each dietary pattern.
Resumen: En este trabajo se presenta una guía conceptual y práctica para estimar la fiabilidad de consistencia interna de medidas obtenidas mediante suma o promedio de ítems con base en las aportaciones más recientes de la psicometría. El coeficiente de fiabilidad de consistencia interna se presenta como un subproducto del modelo de medida subyacente en las respuestas a los ítems y se propone su estimación mediante un procedimiento de análi-sis de los ítems en tres fases, a saber, análisis descriptivo, comprobación de los modelos de medida pertinentes y cálculo del coeficiente de consistencia interna y su intervalo de confianza. Se proporcionan las siguientes fórmu-las: (a) los coeficientes alfa de Cronbach y omega para medidas unidimensionales con ítems cuantitativos (b) los coeficientes omega ordinal, alfa ordinal y de fiabilidad no lineal para ítems dicotómicos y ordinales, y (c) los coeficientes omega y omega jerárquico para medidas esencialmente unidimensionales con efectos de método. El procedimiento se generaliza al aná-lisis de medidas obtenidas por suma ponderada, de escalas multidimensionales, de diseños complejos con datos multinivel y/o faltantes y también al desarrollo de escalas. Con fines ilustrativos se expone el análisis de cuatro ejemplos numéricos y se proporcionan los datos y la sintaxis en R. Palabras clave: Fiabilidad; consistencia interna; coeficiente alfa; coeficiente omega; medidas congenéricas; medidas tau-equivalentes; análisis factorial confirmatorio.Title: A journey around alpha and omega to estimate internal consistency reliability. Abstract: Based on recent psychometric developments, this paper presents a conceptual and practical guide for estimating internal consistency reliability of measures obtained as item sum or mean. The internal consistency reliability coefficient is presented as a by-product of the measurement model underlying the item responses. A three-step procedure is proposed for its estimation, including descriptive data analysis, test of relevant measurement models, and computation of internal consistency coefficient and its confidence interval. Provided formulas include: (a) Cronbach's alpha and omega coefficients for unidimensional measures with quantitative item response scales, (b) coefficients ordinal omega, ordinal alpha and nonlinear reliability for unidimensional measures with dichotomic and ordinal items, (c) coefficients omega and omega hierarchical for essentially unidimensional scales presenting method effects. The procedure is generalized to weighted sum measures, multidimensional scales, complex designs with multilevel and/or missing data and to scale development. Four illustrative numerical examples are fully explained and the data and the R syntax are provided. Key words: Reliability, internal consistency, coefficient alpha, coefficient omega, congeneric measures, tau-equivalent measures, confirmatory factor analysis.Hubo una época en que el coeficiente alfa de Cronbach (α, Cronbach, 1951) era ampliamente aceptado como indicador de la fiabilidad de u...
This article employs Duda's (2013) hierarchical conceptualization of the coach-created motivational climate to inform the validation of a questionnaire (Empowering and Disempowering Motivational Climate Questionnaire-Coach; EDMCQ-C) that assesses junior athletes' perceptions of the social environmental dimensions proposed by achievement goal theory and self-determination theory. Confirmatory factor analyses (CFA) were initially
The relationship between perceived control and psychological distress in cancer patients has been widely studied, but longitudinal designs are scarce. The aim of this study was to examine whether perceived control could predict changes in the evolution of psychological distress in breast cancer patients at stages I or II. One hundred and one women were assessed on five occasions: one week after surgery, and again 1, 3, 6 and 12 months later, using the Mental Adjustment to Cancer (MAC) Scale, a Self-Efficacy Scale, the Personal Competence Scale, the Hospital Anxiety and Depression Scale (HADS), the Profile of Mood Sates (POMS), and the EORTC questionnaire of quality of life. Latent growth curve (LGC) model analysis was used to test the relationship between perceived control and psychological distress in a longitudinal, 1-year study. The results showed that perceived control increases linearly and that distress also decreases linearly. Moreover, the evolution of distress can be predicted from the initial value and the rate of change of perceived control. This close relationship between perceived control and psychological distress was found to be independent of the evolution of the physical state. These findings suggest that perceived control could be used as an early predictor of psychological adjustment to illness.
Our results highlight that 3 conditions seem necessary for coaches to experience psychological well-being in their teams: basic psychological needs satisfaction, especially relatedness; lack of basic psychological needs thwarting; and self-determined motivation.
The purpose of this study was to contribute to the factorial validity of the Behavioural Regulation Sport Questionnaire (BRSQ) by providing (1) an adaptation of the BRSQ to the young competitive athletes (YBRSQ) targeted in the PAPA project (i.e., 9-15 years old) in five European countries
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