Department of Psychology (2015 - Present)
Psychology with emphasis in Psychometrics
Psychology, State University of Isfahan, Isfahan, Islamic Republic of Iran
Clinical Psychology
Psychology, State University of Isfahan, Isfahan, Islamic Republic of Iran
Clinical Psychology
Psychology, State University of Isfahan, Isfahan, Islamic Republic of Iran
In the name of the MOST HIGH- What we observe is not nature itself, but nature exposed to our method of questioning. (Werner Heisenberg)- Dr Hojjatollah Farahani is Assistant Professor at the Tarbiat Modares University (TMU), Iran. He received his Ph.D. from Isfahan University in 2009, and he was a postdoctoral researcher in Fuzzy inference at the Victoria University in Australia (2014-2015), where he started working on Fuzzy Cognitive Maps (FCMs) under supervision of professor Yuan Miao. He is the author or co-author of more than 150 research papers and a reviewer in numerous scientific journals. He has supervised and advised many theses and dissertations in psychological sciences. His new book is Introduction to artificial Psychology using R which was published by Springer in 2023. His research interests and directions include psychometrics, advanced behavioral statistics, fuzzy psychology, artificial intelligence and machine learning algorithms in psychology
Network analysis is a graphical statistical method which provides visualization of the relationships among multiple variables. The purpose of this research is to describe computational psychological network analysis. psychological network analysis helps researchers in detecting the most important nodes and edges in a complex system. The most recent methods for computing of parameter estimation, accuracy using bootstrapping method, stability of centrality indices and edge-weights difference were discussed in detail. Stability coefficient and bootstrapped method were explained as two new methods in the field. 368 Tehran University students in 2020 (120 male and 248 female) filled out anxiety scale. Network analysis using R indicated that 12-
Research in psychological sciences have been recently tied methodological rethinking and achievement. At this stand, Single-Case Experimental Designs (SCEDs) or N of 1 designs have been redeveloped. One of the biggest practical challenges of them is data analysis. This challenge may discourage classical and novice researchers in psychology from applying them. The Main purpose of this paper is to introduce the importance, theoretical terms and conditions of SCEDs and describe the visual and statistical analysis of data in numerical examples. Within and between condition analysis can be calculated and interpreted ?using many statistical and visual methods. In this paper, these methods have been clearly described along with the interpretable c
Introduction: The purpose of this study was to investigate the roles of object relations’ dimensions and marital satisfaction. Method: The sample of 194 married couples with no acute psychological disorders and living together for minimum of two years were selected. These couples were asked to completed Bell Object Relations Inventory (2003) and Enriche Marital Satisfaction Scale (1993). Results: The results of correlation analysis showed that there is a significant negative relationship between marital satisfaction and the dimensions of object relation (self-esteem, alienation, insecure attachment and social inadequacy). Stepwise regression data analysis results showed that various dimensions of object relations including, Egocentricity
ObjectifCette enqu?te a vis? ? ?valuer la pr?visibilit? de l’intensit? de la douleur et de la d?tresse psychologique par la suggestibilit? et l’attitude devant les menstruations parmi une population iranienne de femmes.M?thodeCette ?tude transversale a ?t? r?alis?e sur 130??tudiantes ?g?es de 20?? 35?ans. Un niveau significatif a ?t? fix? ? 0,05. La m?thode d’analyse ?tait la r?gression standard.R?sultatsCent trente ?tudiantes de l’universit? Shahed de T?h?ran ont particip? ? l’enqu?te et leurs donn?es ont ?t? analys?es. La corr?lation de Pearson entre le score total des attitudes envers la menstruation et les sous-?chelles de stress, d’anxi?t? et de d?pression (?DAS-42) ?tait respectivement de (0,77), (0,75) et (0,77). La corr?
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