Search

AbstractThe Personal Need for Structure (PNS) scale assesses individuals’ tendency to seek out clarity and structured ways of understanding and interacting with their environment. The main aim of this study was to adapt the PNS scale to Spanish and assess its psychometric properties. There are two versions of the PNS scale being used, which vary in the number of dimensions (1 vs. 2), and in the number of items (12 vs. 11; because one version excludes Item 5). Therefore, an additional aim of this study was to compare the two existing versions of the PNS scale. This comparison aimed to address the debate regarding the inclusion of Item 5, and the number of dimensions that comprise the PNS scale. A sample of 735 individuals was collected. First, through an approach combining exploratory and confirmatory analyses, evidence was found in favor of the scale being composed of two related but distinguishable factors: Desire for Structure and Response to the Lack of Structure. Scores on these subscales showed acceptable internal consistency and test-retest reliability. Evidence supporting the invariance of the internal structure across sociodemographic variables such as gender and age was found. Validity evidence was also analyzed by examining the relationships with other relevant measures. The results indicated that Item 5 can be excluded without reducing scores validity or reliability, which supports preceding research in the literature. In conclusion, the PNS scale was satisfactorily adapted to and validated in Spanish and its use in this context is recommended.

Abstract.There has been an increase of interest in psychometric models referred to as cognitive diagnosis models (CDMs). A critical concern is in selecting the most appropriate model at the item level. Several tests for model comparison have been employed, which include the likelihood ratio (LR) and the Wald (W) tests. Although the LR test is relatively more robust than the W test, the current implementation of the LR test is very time consuming, given that it requires calibrating many different models and comparing them to the general model. In this article, we introduce the two-step LR test (2LR), an approximation to the LR test based on a two-step estimation procedure under the generalized deterministic inputs, noisy, “and” gate(G-DINA) model framework, the two-step LR test (2LR). The 2LR test is shown to have similar performance as the LR test. This approximation only requires calibration of the more general model, so that this statistic may be easily applied in empirical research.

AbstractRecent studies in different countries indicate that PhD students are more vulnerable to psychological disorders compared to the general population. No such data are available for the Spanish population. This study addresses this issue by studying prevalence rates and factors related to a common response to prolonged stress such as burnout syndrome. Burnout, emotional abilities, resilience, satisfaction with the dissertation advisor, and sociodemographic data were collected from 305 PhD students. The results indicated that the burnout rates are high in this group, especially for the emotional exhaustion dimension. Different linear regression models explained between 14% and 41% of the overall burnout scores variance and its dimensions. The psychological variables and the satisfaction with the dissertation advisor were the most relevant predictors. Consistent with what has been found in other countries, the evidence found indicates that the mental state of PhD students in Spain is alarming. The results of this study have important implications for the design and implementation of interventions to alleviate this problem.