Propiedades psicométricas de una escala de Depresión basada en el Modelo de los Cinco Factores / Psychometric properties of a Depression scale based on the Five Factor Model

Resumen Se presenta el proceso de construcción de una escala para medir la faceta De-presión según el Modelo de los Cinco Factores. Se realizó una revisión de las definiciones teóricas y operacionales de autores relevantes de este modelo. Luego se elaboraron 15 ítems iniciales, 3 de los cuales fueron eliminados por jueces expertos. Los ítems conservados se administraron a 1222 adultos de población general residentes en el área metropolitana de Buenos Aires, Argentina (50.8 % mujeres, edad media = 33.2 años y DE = 11.8 años). Se seleccionó aleatoriamente un 35% de casos para depurar el instrumento con un análisis factorial exploratorio. El 65% restante se utilizó para corroborar la estructura interna con un análisis factorial confirmatorio y para ajustar el Modelo de Respuesta Graduada de la Teoria de Respuesta al Ítem. Los resultados muestran que los 10 ítems de la versión definitiva conforman una estructura unidimensional con adecuada consistencia interna. Se aportan evidencias de validez concurrente con EPQ-RA y SCL-90-R. La Función de Información revela que la escala mide con precisión elevada y constante en un rango extenso del rasgo. Se concluye que la escala permite valorar de manera satisfactoria las diferencias individuales en la tendencia a experimentar afectos depresivos.

Abstract The process of constructing a scale to measure the Depression facet, according to the Five Factors Model, is presented. A review of the theoretical and operational definitions of relevant authors of this model was carried out. Then, 15 initial items were elaborated, 3 of which were eliminated by expert judges. The retained items were administered to 1222 adults of the general population residing in the Buenos Aires Metropolitan Area, Argentina (50.8% women, mean age = 33.2 years and SD = 11.8 years). A random selection of 35% of cases was made to reduce the instrument with an Exploratory Factor Analysis. The remaining 65% was used to corroborate the internal structure with a Confirmatory Factor Analysis, and to fit the Graded Response Model of the Item Response Theory. The results show that the 10 items of the final version form a one-dimensional structure with adequate internal consistency. Evidence of concurrent validity is provided with EPQ-RA and SCL-90-R. The Test Information Function reveals that the scale measures with constant high reliability over a wide range of the trait. It is concluded that the scale allows a satisfactory assessment of individual differences in the tendency to experience depressive effects.

Construction of a graded response system based on pediatric early warning score / 中国实用护理杂志

Objective@#A graded response system based on pediatric early warning score (PEWS) was constructed to provide a scientific basis for clinical intervention and management by clinical nurses.@*Methods@#Domestic and foreign literature and the results of previous research were reviewed to build a preliminary framework of graded response strategies. Two rounds of expert consultation were conducted by Delphi method and the results were statistically analyzed. Meanwhile, the results were integrated into the electronic medical record system to form the PEWS grading response system.@*Results@#The positive coefficient of experts in the first and second rounds of consultation both were 15/15, and the average of the expert authority coefficient was 0.87 and 0.89 respectively. The expert coordination degree Kendall′s W value was 0.292 and 0.301 respectively (P<0.05), indicating that the experts′ opinions tended to be consistent. Finally, four segmented response systems were formed, with PEWS scored on the scale of 0-1, 2, 3 and 4 or single 3 points.@*Conclusions@#The graded response system based on pediatric early warning score constructed by using Delphi expert consultation method can be used in clinic, which can promote the nurses′ participation in clinical intervention decision-making and improve the quality of nursing.

Construction of a graded response system based on pediatric early warning score / 中国实用护理杂志

Objective A graded response system based on pediatric early warning score (PEWS) was constructed to provide a scientific basis for clinical intervention and management by clinical nurses. Methods Domestic and foreign literature and the results of previous research were reviewed to build a preliminary framework of graded response strategies. Two rounds of expert consultation were conducted by Delphi method and the results were statistically analyzed. Meanwhile, the results were integrated into the electronic medical record system to form the PEWS grading response system. Results The positive coefficient of experts in the first and second rounds of consultation both were 15/15, and the average of the expert authority coefficient was 0.87 and 0.89 respectively. The expert coordination degree Kendall′s W value was 0.292 and 0.301 respectively (P<0.05), indicating that the experts′ opinions tended to be consistent. Finally, four segmented response systems were formed, with PEWS scored on the scale of 0-1, 2, 3 and 4 or single 3 points. Conclusions The graded response system based on pediatric early warning score constructed by using Delphi expert consultation method can be used in clinic, which can promote the nurses′participation in clinical intervention decision-making and improve the quality of nursing.

An application of item response theory to psychological test development

Abstract Item response theory (IRT) has become a popular methodological framework for modeling response data from assessments in education and health; however, its use is not widespread among psychologists. This paper aims to provide a didactic application of IRT and to highlight some of these advantages for psychological test development. IRT was applied to two scales (a positive and a negative affect scale) of a self-report test. Respondents were 853 university students (57 % women) between the ages of 17 and 35 and who answered the scales. IRT analyses revealed that the positive affect scale has items with moderate discrimination and are measuring respondents below the average score more effectively. The negative affect scale also presented items with moderate discrimination and are evaluating respondents across the trait continuum; however, with much less precision. Some features of IRT are used to show how such results can improve the measurement of the scales. The authors illustrate and emphasize how knowledge of the features of IRT may allow test makers to refine and increase the validity and reliability of other psychological measures. (AU)

Comparación del modelo de respuesta graduada y la teoría clásica de tests en una escala de confianza para la matemática / A comparison of the graded response model and classical test theory with a scale of confidence in mathematics

Se aplicó el Modelo de Respuesta Graduada (MRG) de la Teoría de Respuesta al ítem (TRI) y la Teoría Clásica de Test (TCT) al análisis de ítems de una escala de Confianza para la Matemática (Abal, 2013). La prueba mide la capacidad percibida por un estudiante universitario para operar eficazmente con símbolos y fórmulas, aprender y aprobar la asignatura matemática u otras afines. La prueba consta de 8 ítems con formato de respuesta Likert de 6 opciones. Participaron 1875 estudiantes de Psicología de la Universidad de Buenos Aires, Argentina. Se verificó la condición de unidimensionalidad requerida por el MRG. El ajuste del MRG fue satisfactorio para todos los ítems. El análisis clásico incluyó el estudio de las frecuencias de respuesta, estadísticos descriptivos del ítem y correlación ítem-test corregida. El coeficiente de confiabilidad marginal de la TRI fue de .91 y el alfa de Cronbach fue .90. Se encontraron correlaciones elevadas entre: a) la media del ítem y los parámetros de localización centrales del MRG, b) la correlación ítem-test corregida y los parámetros de discriminación y c) entre los escalamientos de los individuos realizados desde la TRI y la TCT. Estos resultados aportan evidencias de validez basadas en la estructura interna del instrumento...

The Graded Response Model (GRM) of Item Response Theory (IRT) and Classical Test Theory (CTT) were applied to the analysis of items from a scale of Confidence in Mathematics (Abal, 2013). This scale measures the ability perceived by university student to operate effectively with symbols and formulas, to solve problematic situations, to learn and pass mathematics or related subjects. The scale comprises 8 items in polytomous response format (6-point Likert-type). The sample was made up by 1875 students of the Psychology school of Buenos Aires University, Argentina. The unidimensionality assumption required by the GRM was confirmed. The GRM fitted to data satisfactorily for all items. Location and discrimination parameters showed predictable values. Classical item analysis involved the examination of response frequencies, item descriptive statistics and corrected item-test correlations. The marginal reliability coefficient obtained from IRT was .91 and Cronbach’s alpha was .90. High correlations were found between: a) item means and central location parameters of GRM, b) corrected item-test correlations and discrimination parameters, and c) IRT and CTT individual scores. The finding provides validity evidences based on the internal structure of scale...

Aplicación del Modelo de Respuesta Graduada a una Escala de Voluntad de Trabajo / Application of the Graded Response Model to a Will-to-Work Scale

Se presentan los resultados obtenidos con la aplicación de un modelo de la Teoría de Respuesta al Ítem (TRI) a los reactivos de una prueba que mide la Voluntad de Trabajo (VT). La VT es un rasgo de la personalidad que describe la tendencia de un individuo a asumir sus obligaciones con responsabilidad, automotivación y sin dilaciones, aun cuando estas pudieran no ser de su agrado. La escala que mide la VT se compone de 9 ítemes con formato de respuesta ordenada de 4 valores. Se aplicó el Modelo de Respuesta Graduada (MRG) de Samejima a datos provenientes de la administración de la escala de VT a una muestra de 1.141 universitarios. Previamente se verificó la condición de unidimensionalidad de los ítemes, requerida por el MRG. El análisis de los datos se realizó operando el programa MULTILOG. La estimación de los parámetros de este modelo se efectuó por máxima verosimilitud marginal. Sólo uno de los ítemes mostró un comportamiento inadecuado. La mayoría de los parámetros de localización tendieron a ubicarse en niveles medios bajos de la escala. Los parámetros de discriminación adoptaron valores entre moderados y altos. La Función de Información del Test evidenció que la escala es más precisa para discriminar individuos con niveles medios-bajos del rasgo evaluado. Los resultados revelaron los problemas que presenta la escala de VT y permitieron obtener información útil para orientar la construcción de nuevos reactivos.

This study aims to present the findings obtained from the application of an Item ResponseTheory model (IRT) to the reactive of a Will-to-Work Measuring Test (WW). WW is defined as the individuals' tendency to generate efficient volatile processes that allow them to commit themselves to starting a task and to persisting in its execution by overcoming obstacles until they achieve its materialization with precision and without procrastination. WW is a personality trait that describes the predisposition of an individual to assume duties in a responsible, self-motivated and prompt manner even when such duties may be unappealing. The scale measuring the WW comprises 9 items in polychromous response format (four-point rating scale), with the response options graded. Accordingly, one of the IRT most widely used models was applied for the monetization of ordered polychromous responses: Samejima's Graded Response Model (GRM). The GRM is a generalization of the Two Parameter Logistic Model of Birnbaum. In GRM, a person's probability of responding in category j to a specific item i, Pij(θ), is obtained by subtracting the probability of responding in or below category j-1 from the probability of responding in or below category j.Through the Item Response Category Curves, the GRM allows for the representation of an individual's likelihood to choose each of the item categories based on the level of the latent trait measured. The data from this psychometric test was obtained from a sample of 1,141 university students. The one-dimensional assumption required by the GRM was corroborated through an exploratory analysis of the data factor structure. The local independence assumption was considered to be satisfied after proving the scale one-dimensionality. All analyses based on the IRT were performed by operating the MULTILOG software program. The GRM parameters estimation was carried out through marginal maximum likelihood procedures. A discrimination parameter (a) and three location parameters (b1, b2 and b3) corresponding to thresholds separating the 4 response categories were estimated for each item. The model's goodness-of-fit was studied on an item basis by examining the residue of observed and expected proportions for each of the ordered response categories. The residue obtained was the same as or lower than .01, which led to the conclusion that the model adjustment to the data was satisfactory for all reactive. Despite this, one of the items showed inappropriate behavior. The value of its location parameters turned out to be very different from the expected one and showed high estimation errors when compared against the values obtained for the rest of the items. Most of the location parameters showed midlow WW values and discrimination parameters showed mid-high values (0.73 - 1.73). The instrument's reliability was acceptable if we consider the.75 marginal reliability coefficient obtained from IRT. However, local accuracy measures showed that the test is less reliable when measuring the WW highest levels. In other words, the measure error increases as we attempt to discriminate strongly willful individuals. This means that the WW scale is useful to measure mid-low levels of WW, but less accurate when it comes to individuals whose trait level is higher. It is therefore concluded that it is necessary to raise the number of WW scale items to optimize the instrument quality. It is particularly important to identify construct indicators allowing for a more accurate detection of the highest trait levels. The shortage of the application of IRT models to personality tests as well as the difficulty that the achievement of their exigent assumptions were discussed. The findings showed the problems posed by the WW scale and allowed us to obtain useful information to guide the building of new items.