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2.
J Clin Psychol ; 77(10): 2370-2404, 2021 10.
Article in English | MEDLINE | ID: mdl-34115375

ABSTRACT

INTRODUCTION: The factor structure of the Positive and Negative Affective Schedule (PANAS) is still a topic of debate. There are several reasons why using Exploratory Graph Analysis (EGA) for scale validation is advantageous and can help understand and resolve conflicting results in the factor analytic literature. OBJECTIVE: The main objective of the present study was to advance the knowledge regarding the factor structure underlying the PANAS scores by utilizing the different functionalities of the EGA method. EGA was used to (1) estimate the dimensionality of the PANAS scores, (2) establish the stability of the dimensionality estimate and of the item assignments into the dimensions, and (3) assess the impact of potential redundancies across item pairs on the dimensionality and structure of the PANAS scores. METHOD: This assessment was carried out across two studies that included two large samples of participants. RESULTS AND CONCLUSION: In sum, the results are consistent with a two-factor oblique structure.


Subject(s)
Mental Status Schedule , Factor Analysis, Statistical , Humans , Reproducibility of Results
3.
Psicothema ; 32(4): 459-468, 2020 11.
Article in English | MEDLINE | ID: mdl-33073751

ABSTRACT

BACKGROUND: This study presents a bibliometric analysis of Psicothema as a commemoration for its 30 years of publishing (1989-2018). METHODS: A year-, sex-, and publication language-based analysis of the journal's characteristics was carried out based on the sample of 2,396 publications. Based on that data, Lotka's law was assessed, Lawani and Subramanyam indices and cooperation networks were estimated, the Pratt index was calculated, the concentration of papers according to thematic areas and research methods was described, and citations and impact indicators were obtained according to the original articles indexed in Web of Science (1993-2018). RESULTS: The results indicated greater participation by male authors, increased publication in English, compliance with Lotka's law, and a greater inter-institutional contribution in recent decades. There was a higher percentage of methodology/psychometrics-related work, and most of these publications used quantitative methods. The impact factor and the amount of citations reached its peak in 2018. CONCLUSION: The characteristics of Psicothema, which is a model of scientific communication of psychology in the international context, are discussed in this study.


Subject(s)
Bibliometrics , Publishing , Humans , Male
4.
Suma psicol ; 26(1): 19-27, ene.-jun. 2019. tab, graf
Article in Spanish | LILACS | ID: biblio-1043418

ABSTRACT

Resumen La conducta agresiva constituye un problema que afecta a los individuos y a la so ciedad. El Modelo de Agresión General integra un conjunto de variables que influyen en la pro babilidad de exhibir una conducta agresiva entre las cuales está la regulación emocional y la frustración. Esta investigación evalúa las relaciones entre la regulación emocional cognitiva y la intolerancia a la frustración. A 419 sujetos adultos se les administraron la Escala de Intoleran cia a la Frustración, la Escala de Regulación Emocional Cognitiva y el Cuestionario de Agresión. Se hallaron relaciones positivas en la mayoría de las estrategias desadaptativas cognitivas de regulación emocional y relaciones negativas entre la mayoría de las estrategias cognitivas adap tativas de regulación emocional con la conducta agresiva, y relaciones positivas entre todas las dimensiones de la intolerancia a la frustración y la conducta agresiva. El Análisis de Regresión Múltiple muestra que las variables que producen un cambio significativo en la agresividad son la catastrofización y culpar a otros, así como la intolerancia a la frustración referida a derechos. Mediante path análisis se verificó que estas tres variables mencionadas permiten explicar un 41% de la variabilidad en la agresividad.


Abstract Aggressive behavior is a problem that affects individuals and society. The General Aggression Model integrates a set of variables that influence the probability of exhibiting aggressive behavior, among which is emotional regulation and frustration. This research assesses the relationships between cognitive emotional regulation and frustration intolerance. A total of 419 adult subjects were administered the Frustration Intolerance Scale, the Cognitive Emotional Regulation Scale and the Aggression Questionnaire. Positive relationships were found in most of the maladaptive cognitive emotional regulation strategies and negative re lationships between most of the adaptive cognitive emotional regulation strategies with the aggressive behavior, and positive relationships between all the dimensions of the frustration intolerance and the aggressive behavior. The Multiple Regression Analysis shows that the vari ables that produce a significant change in aggressiveness are catastrophization and blaming others, as well as the frustration intolerance referring to rights. By means of path analysis, it was verified that these three variables can explain 41% of the variability in aggressiveness.

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