Hasil untuk "Psychology"

Stephanie Mehl, Christopher Hautmann, Björn Schlier et al.

Abstract Psychological interventions for delusions may be enhanced by targeting their presumed causal factors. An emotion-oriented variant of cognitive behavioral therapy for delusions (CBTd-E), designed to target affect regulation and maladaptive schemata, was evaluated for its effect on delusions. A single-blind, multicenter, randomized, waitlist-controlled trial was conducted in three German outpatient clinics. Ninety-four patients with psychotic disorders and persistent delusions were randomized to 25 individual sessions of CBTd-E over 6 months (n = 47) or waitlist (n = 47). CBTd-E included two modules designed to improve affect regulation and maladaptive schemata. Assessments were performed at baseline (T1), three months (T2), and six months (T3). Regression-based analysis of covariance at T3 in the intent-to-treat sample indicated no significant benefit for the CBT-E group in the primary outcome (Psychotic Symptom Rating Scale delusions subscale, d = -0.45 [CI: 0.36; -1.26]). Regarding secondary outcomes, a significant effect favoring CBTd-E was observed in general psychopathology (d = -0.56), but no effects on positive and negative symptoms, depression, general and social functioning, or antipsychotic dosage. Regarding the proposed target mechanisms, we found improved cognitive reappraisal (d = 0.59), worrying (d = -0.52), quality of sleep (d = -0.49), and self-esteem (d = 0.36). Despite its effect on the suggested target mechanisms, affect regulation and maladaptive schemata, and on general psychopathology, this emotion-focused variant of CBT did not show an effect on delusions. A possible avenue to achieve stronger effects on delusions is to personalize the modularized interventions. Trial registration: Clinicaltrials.gov Identifier: NCT02787135

Changgeon Ko, Jisu Shin, Hoyun Song et al.

Large language model (LLM) agents are increasingly acting as human delegates in multi-agent environments, where a representative agent integrates diverse peer perspectives to make a final decision. Drawing inspiration from social psychology, we investigate how the reliability of this representative agent is undermined by the social context of its network. We define four key phenomena-social conformity, perceived expertise, dominant speaker effect, and rhetorical persuasion-and systematically manipulate the number of adversaries, relative intelligence, argument length, and argumentative styles. Our experiments demonstrate that the representative agent's accuracy consistently declines as social pressure increases: larger adversarial groups, more capable peers, and longer arguments all lead to significant performance degradation. Furthermore, rhetorical strategies emphasizing credibility or logic can further sway the agent's judgment, depending on the context. These findings reveal that multi-agent systems are sensitive not only to individual reasoning but also to the social dynamics of their configuration, highlighting critical vulnerabilities in AI delegates that mirror the psychological biases observed in human group decision-making.

Anders Rolighed Larsen, Sneha Das, Line Clemmensen

Affective computing - combining sensor technology, machine learning, and psychology - have been studied for over three decades and is employed in AI-powered technologies to enhance emotional awareness in AI systems, and detect symptoms of mental health disorders such as anxiety and depression. However, the uncertainty in such systems remains high, and the application areas are limited by categorical definitions of emotions and emotional concepts. This paper argues that categorical emotion labels obscure emotional nuance in affective computing, and therefore continuous dimensional definitions are needed to advance the field, increase application usefulness, and lower uncertainties.

Hengki Yandri, Dosi Juliawati, Anabelie V. Valdez et al.

Bullying, loneliness, and academic stress are pressing psychological challenges frequently encountered by students in pesantren settings. This study aimed to investigate the complex interplay between loneliness, academic stress, and bullying among pesantren students, with particular attention to the implications for Islamic spiritual interventions. Employing a correlational research design, the study involved a sample of the students of Islamic boarding schools in Indonesia, drawn through a multistage random sampling technique from a population of 500 pesantren students. Data were gathered using validated and reliable instruments to assess levels of bullying, loneliness, and academic stress. To investigate the associations among the variables, correlation and regression analyses were employed. The results indicated statistically significant positive associations between loneliness and bullying, as well as between academic stress and bullying behavior, indicating that students who are bullied are more likely to experience loneliness and heightened academic stress. These results underscore the importance of addressing these interconnected psychological issues through holistic approaches. The study highlights the potential of Islamic spiritual responses, such as Islamic counseling and spiritual mindfulness practices, in mitigating the negative psychological effects of bullying, loneliness, and academic stress among students.

Seyyedeh Zahra Seyyed Noori, abbasali hossein khanzadeh, Abbas Abolghasemi et al.

The present study aimed to effectiveness of simultaneous training of various executive functions (hot and cool; focused on simultaneous parent-child training) on improving the empathy of children with attention deficit hyperactivity disorder. This research was a quasi-experimental study with pretest-posttest control group design. The statistical population of the present study consisted of all 9 to 12-year-old children with ADHD in Rasht who referred to medical-educational-research centers in 2021. The sample consisted of 26 mothers and children with ADHD from the statistical population who were selected through convenience sampling, based on the inclusion criteria. They were then equally assigned to two (control and experiment) groups. The children in the experimental group and their mothers each received the intervention program in 10 sessions. The instruments used included Cognitive demographic questionnaire, Canners Parent Rate Scale, Empathy Questionnaire. data were analyzed using analysis of covariance. Findings showed that training of various executive functions (hot and cool; focused on simultaneous parent-child training), had a significant effect on improving the total score of empathy (P<0.01), empathy subscales of social motivation (P< 0.01), cognitive empathy (P< 0.05), emotional empathy of friend’s orientation (P< 0.01), effective empathy of family orientation (P< 0.05) on children with ADHD. These results suggest that multifaceted interventions that target executive actions in children with attention deficit / hyperactivity disorder can be a promising approach to improving empathy in these children. Keywords: Hot and Cool Executive Functions, Parent and Child, Attention Deficit Hyperactivity Disorder, Empathy.       Extended Abstract Introduction Attention-Deficit/Hyperactivity Disorder (ADHD) is one of the most prevalent neurodevelopmental disorders, characterized by symptoms of inattention, hyperactivity, and impulsivity (Mechler, Banaschewski, Hohmann, & Hage, 2021). Beyond its core symptoms, empirical evidence suggests that children with ADHD often struggle with emotional expression, facial recognition, prosody perception, theory of mind, and empathy (Singh, Arun, & Bajaj, 2021). Empathy refers to the ability to understand and emotionally resonate with others’ experiences (Bugatti, 2021). Among various factors influencing empathy, executive functions (EFs) play a foundational role (Friesen, 2019). Executive functions are typically categorized into two domains: "cool" and "hot." Cool EFs encompass cognitive, emotionally neutral processes such as metacognition, cognitive flexibility, inhibition, working memory, planning, and problem-solving, which are primarily associated with lateral prefrontal regions. In contrast, hot EFs involve emotionally and motivationally salient processes such as behavioral regulation, emotional control, and decision-making, linked to medial and anterior prefrontal areas (Zelazo, 2020; Nemeth & Chustz, 2020). Neuroimaging and neuroscientific studies indicate that dysfunctions in the prefrontal cortex among individuals with ADHD may be associated with reduced empathy—precisely the region implicated in executive functioning (Taiwo, 2018; Ronel, 2018). Research by Li, Liu, Yan, & Feng (2020) demonstrated that EF training can enhance emotional competence in preschoolers, with inhibitory control and working memory significantly predicting emotional development. Similarly, findings by Ghadiri & Soleimani (2021) revealed that EF training improved empathy in children with high-functioning autism. Developmental psychology literature also highlights the pivotal role of parents in shaping children’s executive functions (Motamed Yeganeh, Afrooz, Shokoohi-Yekta, & Weber, 2019). O'Neill, Rajendran, & Halperin (2012) emphasized the importance of parental involvement in ADHD interventions, particularly through play-based neurodevelopmental and social facilitation. Despite these insights, prior studies have predominantly focused on cool EFs, neglecting the hot dimension. Moreover, most interventions have been child-centered, with limited use of simultaneous parent-child approaches. Given this research gap, the present study aimed to investigate the effectiveness of a simultaneous parent-child training program targeting both hot and cool executive functions on improving empathy in children with ADHD. Methodology This quasi-experimental study employed a pretest-posttest control group design. The statistical population included all children aged 9–12 diagnosed with ADHD in Rasht, Iran, who attended educational-therapeutic centers during the first half of 2021. A sample of 26 children who met the inclusion and exclusion criteria was selected via convenience sampling and randomly assigned to an experimental group and a control group. Both the children and their mothers in the experimental group received a 10-session intervention program. The instruments included the 48-item Conners Rating Scale and the Empathy Questionnaire for Children and Adolescents. Results Based on the findings presented in Table 5, the F-value for the empathy subcomponent of social motivation was 28.412, which was statistically significant (p <.01). The F-value for cognitive empathy was 5.649 (p <.05). Affective empathy with peer orientation yielded an F-value of 10.999 (p <.01), while affective empathy with family orientation showed an F-value of 5.915 (p <.05). These results indicate statistically significant differences between the experimental and control groups across all four empathy dimensions. Table 1: ANOVA Results Comparing Experimental and Control Groups on Children's Empathy Components Empathy Component SS (Between) SS (Error) MS (Between) MS (Error) F p Effect Size Power Social Motivation Empathy 38.603 27.174 38.603 1.359 28.412 0.001 0.587 0.999 Cognitive Empathy 2.639 9.343 2.639 0.467 5.649 0.05 0.22 0.619 Affective Empathy (Peer Orientation) 6.164 11.208 6.164 0.56 10.999 0.01 0.355 0.884 Effective Empathy (Family Orientation) 3.602 12.178 3.602 0.609 5.915 0.05 0.228 0.638 Discussion The present study aimed to examine the effectiveness of a simultaneous parent-child training program targeting both hot and cool executive functions on improving empathy in children with Attention-Deficit/Hyperactivity Disorder (ADHD). The findings indicated that this training significantly improved empathy in children with ADHD. These results are consistent with previous research conducted by Friesen (2019) and Ghadiri & Soleimani (2021). One possible explanation for these findings is that improved executive functioning enhances children's ability to decode social and emotional cues, thereby positively influencing their interpersonal relationships (Ghadiri & Soleimani, 2021). Moreover, repetition and practice play a crucial role in strengthening executive functions, which in turn support emotional regulation and empathic behavior. Repeated tasks and games facilitate the maturation of prefrontal inhibitory mechanisms, gradually enabling children to regulate emotional impulses. The more children engage in prosocial play, the more rapidly and effectively their prefrontal regulatory systems develop, allowing them to inhibit impulsive motivations (Panksepp, 2007). Research also highlights the importance of parental involvement in improving the functioning of children with ADHD (Motamed Yeganeh, Afrooz, Shokoohi-Yekta, & Weber, 2019; O'Neill, Rajendran, & Halperin, 2012). In fact, parental warmth, cooperation, and acceptance contribute to reduced behavioral problems, decreased egocentrism, and an enhanced capacity for understanding and accepting others. Due to limitations imposed by the COVID-19 pandemic, follow-up assessments could not be conducted in this study. Therefore, it remains unclear whether the observed improvements in hot and cool executive functions—and their impact on empathy—are sustained over time. Future research is recommended to include follow-up phases and to extend the investigation to other age groups and psychological conditions, such as learning disorders and anxiety disorders. It is also suggested that the effectiveness of this intervention be compared with other therapeutic approaches. Conclusion The findings of this study revealed that simultaneous training of various executive functions—both hot and cool—in joint parent-child sessions had a positive impact on enhancing empathy in children with ADHD. These results may pave the way for developing more effective interventions in the field of cognitive and emotional rehabilitation for these children. Acknowledgments We extend our sincere gratitude to all the individuals who participated in this research.

John Mansfield, Ethan Gotlieb Wilcox

This chapter examines current developments in linguistic theory and methods, focusing on the increasing integration of computational, cognitive, and evolutionary perspectives. We highlight four major themes shaping contemporary linguistics: (1) the explicit testing of hypotheses about symbolic representation, such as efficiency, locality, and conceptual semantic grounding; (2) the impact of artificial neural networks on theoretical debates and linguistic analysis; (3) the importance of intersubjectivity in linguistic theory; and (4) the growth of evolutionary linguistics. By connecting linguistics with computer science, psychology, neuroscience, and biology, we provide a forward-looking perspective on the changing landscape of linguistic research.

Danaja Rutar, Alva Markelius, Konstantinos Voudouris et al.

One of the core components of our world models is 'intuitive physics' - an understanding of objects, space, and causality. This capability enables us to predict events, plan action and navigate environments, all of which rely on a composite sense of objecthood. Despite its importance, there is no single, unified account of objecthood, though multiple theoretical frameworks provide insights. In the first part of this paper, we present a comprehensive overview of the main theoretical frameworks in objecthood research - Gestalt psychology, enactive cognition, and developmental psychology - and identify the core capabilities each framework attributes to object understanding, as well as what functional roles they play in shaping world models in biological agents. Given the foundational role of objecthood in world modelling, understanding objecthood is also essential in AI. In the second part of the paper, we evaluate how current AI paradigms approach and test objecthood capabilities compared to those in cognitive science. We define an AI paradigm as a combination of how objecthood is conceptualised, the methods used for studying objecthood, the data utilised, and the evaluation techniques. We find that, whilst benchmarks can detect that AI systems model isolated aspects of objecthood, the benchmarks cannot detect when AI systems lack functional integration across these capabilities, not solving the objecthood challenge fully. Finally, we explore novel evaluation approaches that align with the integrated vision of objecthood outlined in this paper. These methods are promising candidates for advancing from isolated object capabilities toward general-purpose AI with genuine object understanding in real-world contexts.

Victoria Williams, Benjamin Rosman

Large language models have become increasingly common, used by millions of people worldwide in both professional and personal contexts. As these models continue to advance, they are frequently serving as virtual assistants and companions. In human interactions, effective communication typically involves two types of empathy: cognitive empathy (understanding others' thoughts and emotions) and affective empathy (emotionally sharing others' feelings). In this study, we investigated both cognitive and affective empathy across several small (SLMs) and large (LLMs) language models using standardized psychological tests. Our results revealed that LLMs consistently outperformed humans - including psychology students - on cognitive empathy tasks. However, despite their cognitive strengths, both small and large language models showed significantly lower affective empathy compared to human participants. These findings highlight rapid advancements in language models' ability to simulate cognitive empathy, suggesting strong potential for providing effective virtual companionship and personalized emotional support. Additionally, their high cognitive yet lower affective empathy allows objective and consistent emotional support without running the risk of emotional fatigue or bias.

Angela Zorro Medina, David Hackett, Devin Green et al.

This study provides the first empirical evidence that private donations to police departments can influence officer behavior. Drawing on the psychology of reciprocity bias, we theorize that public donations create social debts that shape discretionary enforcement. Using quasi-experimental data from Chicago, we find that after 7-Eleven sponsored a police foundation gala, investigatory stops, particularly of Black pedestrians, increased around its stores. These findings reveal a racialized pattern of donor bias in policing and call into question the consequences of private donations to public law enforcement.

Tomi Suomi, Petri Ihantola, Tommi Mikkonen et al.

Agile software development relies on self-organized teams, underlining the importance of individual responsibility. How developers take responsibility and build ownership are influenced by external factors such as architecture and development methods. This paper examines the existing literature on ownership in software engineering and in psychology, and argues that a more comprehensive view of ownership in software engineering has a great potential in improving software team's work. Initial positions on the issue are offered for discussion and to lay foundations for further research.

Lukas Adriel Francisco Alves, Maria Marta da Silva

Este artigo tem como objetivo principal investigar como uma situação desencadeadora de aprendizagem acerca do conceito de número contribuiu para o entendimento do movimento lógico-histórico, como proposta para a organização do ensino de conceitos matemáticos. O Clube de Matemática da Universidade Estadual de Goiás, Campus Sudoeste, Sede Quirinópolis, foi o espaço formativo que abrigou as ações da pesquisa. Nesse contexto, durante o período de 2017 a 2023, aproximadamente trinta professores de Matemática em formação participaram de um experimento formativo que buscou respostas a seguinte questão problematizadora: Quais são as contribuições formativas que a organização do ensino de conceitos matemáticos ofertada pelo Clube de Matemática, a partir do movimento lógico-histórico, pode trazer a professores de Matemática em formação inicial? Os resultados dão indícios de que os sujeitos compreenderam os conceitos matemáticos como produções humanas que materializam respostas às necessidades postas na realidade objetiva. Também indicam a necessidade de professores e de alunos terem a oportunidade de aprender os conceitos matemáticos a partir de um modelo geral de ações que privilegie o movimento lógico-histórico.

Yu-Jie Guo, Ping Xue, Ping Xue et al.

IntroductionThe research on cancer patients returning to work in China is still in its infancy, and there is no research and discussion on the adaptability to return-to-work for cancer patients. It is critical to develop the Adaptability to Return-to-Work Scale (ARTWS) for cancer patients and evaluate its psychometric properties.MethodsThe items of the initial scale were compiled based on the theoretical model and literature review results. Through two rounds of Delphi expert consultation (N = 15) and a pilot survey (N = 40), the initial scale was further checked and revised. Conduct a large sample survey (N = 376) and the construct validity and reliability of the ARTWS were assessed by confirmatory factor analysis (CFA) and exploratory factor analysis (EFA).ResultsThe final ARTWS consisted of 24 items. “Focusing on rehabilitation,” “Rebuilding Self-efficiency,” and “Adjusting plans” as common factors in determining adaptability to return to work for cancer patients, and the cumulative variance contribution rate for these three factors was 66.6%. The S-CVI of the total scale was 0.979. The Cronbach’s α coefficient was 0.937 and the 2-week test–retest reliability was 0.814.DiscussionARTWS has good correlation validity and can be used as a tool to measure the adaptability of cancer patients’ return to work. The presentation of the manuscript in Research Square (https://doi.org/10.21203/rs.3.rs-2323264/v1).

Adam Davies, Ashkan Khakzar

Artificial neural networks have long been understood as "black boxes": though we know their computation graphs and learned parameters, the knowledge encoded by these weights and functions they perform are not inherently interpretable. As such, from the early days of deep learning, there have been efforts to explain these models' behavior and understand them internally; and recently, mechanistic interpretability (MI) has emerged as a distinct research area studying the features and implicit algorithms learned by foundation models such as large language models. In this work, we aim to ground MI in the context of cognitive science, which has long struggled with analogous questions in studying and explaining the behavior of "black box" intelligent systems like the human brain. We leverage several important ideas and developments in the history of cognitive science to disentangle divergent objectives in MI and indicate a clear path forward. First, we argue that current methods are ripe to facilitate a transition in deep learning interpretation echoing the "cognitive revolution" in 20th-century psychology that shifted the study of human psychology from pure behaviorism toward mental representations and processing. Second, we propose a taxonomy mirroring key parallels in computational neuroscience to describe two broad categories of MI research, semantic interpretation (what latent representations are learned and used) and algorithmic interpretation (what operations are performed over representations) to elucidate their divergent goals and objects of study. Finally, we elaborate the parallels and distinctions between various approaches in both categories, analyze the respective strengths and weaknesses of representative works, clarify underlying assumptions, outline key challenges, and discuss the possibility of unifying these modes of interpretation under a common framework.

Nickholas Grant, Joanna L. Meyer, Michael J. Strambler

The measurement of social and emotional learning (SEL) implementation is a critical part of enhancing and understanding the effects of SEL programming. Research has shown that high-quality SEL implementation is associated with social, emotional, and academic outcomes. Schools achieve these outcomes in part through organizational practices that emphasize ongoing communication, collaboration, coordination, shared decision making, and strategic planning, processes that are ideally informed by evidence. The application of implementation science to SEL has advanced our understanding of the role of implementation in achieving student outcomes. However, the development of practical approaches for measuring and supporting SEL implementation have lagged behind work on measuring student SEL outcomes. Research-practitioner partnerships (RPP), long-term, mutually-beneficial collaborations geared toward identifying problems of practice and testing solutions for improvement, are a promising means for addressing this important gap. Though implementation science and RPPs have complementary aims, there has been limited attention to the integration of these approaches in the context of SEL programming. The goal of this paper is to offer practical strategies for measuring and using SEL implementation data in schools, using the example of an RPP that used implementation science practices to guide SEL implementation. We give special attention to structures that can support the collection and use of implementation data to improve practice, as well as considerations around developing measures, considering trade-offs of data collection decisions, and conducting data analysis.

Kai Hao Yang, Alexander K. Zentefis

A monotone function interval is the set of monotone functions that lie pointwise between two fixed monotone functions. We characterize the set of extreme points of monotone function intervals and apply this to a number of economic settings. First, we leverage the main result to characterize the set of distributions of posterior quantiles that can be induced by a signal, with applications to political economy, Bayesian persuasion, and the psychology of judgment. Second, we combine our characterization with properties of convex optimization problems to unify and generalize seminal results in the literature on security design under adverse selection and moral hazard.

Peng Ye, Tong He, Shengji Tang et al.

Residual networks have shown great success and become indispensable in recent deep neural network models. In this work, we aim to re-investigate the training process of residual networks from a novel social psychology perspective of loafing, and further propose a new training scheme as well as three improved strategies for boosting residual networks beyond their performance limits. Previous research has suggested that residual networks can be considered as ensembles of shallow networks, which implies that the final performance of a residual network is influenced by a group of subnetworks. We identify a previously overlooked problem that is analogous to social loafing, where subnetworks within a residual network are prone to exert less effort when working as part of a group compared to working alone. We define this problem as \textit{network loafing}. Similar to the decreased individual productivity and overall performance as demonstrated in society, network loafing inevitably causes sub-par performance. Inspired by solutions from social psychology, we first propose a novel training scheme called stimulative training, which randomly samples a residual subnetwork and calculates the KL divergence loss between the sampled subnetwork and the given residual network for extra supervision. In order to unleash the potential of stimulative training, we further propose three simple-yet-effective strategies, including a novel KL- loss that only aligns the network logits direction, random smaller inputs for subnetworks, and inter-stage sampling rules. Comprehensive experiments and analysis verify the effectiveness of stimulative training as well as its three improved strategies.

Kenichiro Ishizu, Tomu Ohtsuki, Yoshiyuki Shimoda

This study investigated whether lower psychological flexibility (psychological inflexibility) mediates the relationship between contingent self-worth and depressive symptoms among Japanese adolescents. A total of 210 Japanese junior high school students aged 12 to 15 years (106 boys and 104 girls) were recruited for this study. Participants completed the Japanese adaptations of the Self-Worth Contingency Questionnaire, the Avoidance and Fusion Questionnaire for Youth, and the Depression Self-Rating Scale for Children. Results indicated that psychological inflexibility mediated the association between contingent self-worth and depressive symptoms. Specifically, contingent self-worth affected lower psychological flexibility, which influenced higher depressive symptoms. The results highlight the importance of fostering autonomy and promoting psychological flexibility to reduce the risk of depression among adolescents.

Khaerani Suci Lestari, Aditya Fadilah Muhamad, Arif Susanto et al.

Introduction: In the era of the Covid-19 pandemic, psychosocial issues as part of health and safety have become a popular mental health issue, particularly among gold and copper miners. This situation has led some companies to fire their unskilled and unproductive workers to minimize the production costs. However, there is no specific regulation for the workers that could be a barrier of this unpredicted situation. This condition mostly becomes a negative stressor for the workers at the jobsite. At some point, it develops to a critical health and safety condition known as risky and unhealthy behavior that brings to fatality. The aim of this research is to analyze the psychosocial risk factors that adversely affect the psychology of copper and gold mining workers during the pandemic. Method: This is a cross-sectional study with COPSOQ III, used to identify factors contributing to workers’ psychology, while Dolan & Arsenault’s questionnaire was used to analyze stress symptoms, with a Cronbach α value of 0.83-0.84. Results: Multivariate tests were conducted on the variables of work experience, body mass index, marital status, emotional demands, vertical trust, and organizational justice. Significance values were obtained for the variables of work experience (0.590 body mass index (0.517), marital status (0.122), emotional demands (0.187), vertical trust (0.000), and organizational justice (0.119). Of the six variables, only vertical trusthad a significant value. Conclusion: Psychological risk factors on copper and gold mining workers during the pandemic are only influenced by a vertical trust. Keywords: COPSOQ III, leadership, pandemic, psychosocial, vertical trust

Mustafa Ünverdi

Bu çalışmanın amacı dinin inanç ve ibadet yönüyle insan fıtratına uyumlu olduğunu temellendirmek ve dinî indirgemeciliği eleştirel biçimde ele almaktır. Din, hayatı anlamlandırma ve inşa etme aracıdır. Hayatla ilişkisi onu mümkin bir kavram kılar. Yani din, inanç ve ritüelleriyle insan doğasını aşan bir nitelikte değil, insanın düşünme ve davranma yetisine uygun şekildedir. İslâm’ın kendisini fıtrat dini olarak tanımlaması, onun insan doğasıyla ilişkisini betimler. Fıtrat, insanın doğasıdır. Fiziksel ve ruhsal yapısıyla her insan bir fıtratla doğar. Hz. Peygamber bu gerçeğin altını çizmiş ve herkesin bir fıtratla doğduğunu bildirmiştir. Her çocuk İslâm’a yatkın doğar. İslâm, Hanîf dini olup, tarihte peygamberlerle ete kemiğe bürünen ilahi davetin ortak adı olup, tevhid ve buna bağlı gelişen ahlâk yasasına dayanır. İnancın işlevsel olması ve ahlâki değerlerin yaşatılması için İslâm ibadetleri emreder, toplumda yapılması ve sakınılması gereken şeyleri bildirir. Bu kanunlar tarihe ve topluma göre değişebilir. Ama bu değişim hiçbir zaman insanın fıtratını aşmaz, onu değiştirmez. Bilakis İslâm, insan fıtratını olgunlaştırmak ve onu tahrip etmesi muhtemel şeylerden korumak ister. Bu nedenle o, yüce yaratıcıya yönelmek anlamında Hanîf dinidir. Dinin fıtratla uyumu anlamına gelen ilkelerini bir kenara bırakıp onu somutlaşan ritüellere ve kurallara indirgeyen yaklaşım genellikle hakikati belli bir mezhep veya gruba hasreder. Dini -aklı dışlayarak- nasslara, hakikati bir mezhebe indirgeyerek ötekini bid’at veya küfürle itham eder. Böylece ötekine hayat hakkı tanımaz. Bu ise dinin insanın hakikatine yabancılaştırılması anlamına gelir. Makalemizde bu sorun kaynak incelemesi tekniğine dayalı olarak nitel araştırma yöntemi ile tenkit edilmiştir.

Josué Michael Franco Mendoza

El propósito del presente estudio fue el de construir una escala breve de bienestar psicológico en el contexto universitario, en fase preliminar. Para ello se contó con la participación de 417 estudiantes de la facultad de educación de una universidad pública de Lima, de ambos sexos, con edades oscilantes entre los 17 y 35 años (M = 23, D.S. = 1.86). Se trabajó con los tópicos de Salud Mental (SM) y el de Familia y Relaciones Interpersonales (FR). El método fue instrumental, contando con una escala de 35 ítems y siete componentes, aprobada por cinco expertos a través del estadístico V de Aiken, con 3 criterios de valoración (V = .83, 1.00). Los ítems pasaron por diferentes procesos de análisis en las estimaciones de parámetros con el modelo de dos parámetros logísticos (2PL) de la Teoría de Respuesta al Ítem (TRI), en contraste con indicadores de la Teoría Clásica de los Test (TCT), a partir del Análisis Factorial Confirmatorio (AFC) y medidas de consistencia interna. Los resultados evidenciaron que los componentes de la escala ajustaron adecuadamente al modelo de 2PL (x2 = .58, 1.73, p > .05), cumpliéndose los supuestos de unidimensionalidad e independencia local para los ítems por cada componente. Así también se reportaron funciones de información de los mismos, las cuales fueron complementadas con evidencias del ajuste de los AFC para cada tópico (x2/gl = 1.18, 2.45, GFI = .99, 1.00, TLI = .94, .99, CFI = .95, .99, NNFI = .94, .99, RMR = .001, SRMR = .05, .06, RMSEA = .02, .06). Por otra parte, las medidas de consistencia interna oscilaron entre .61 y .82, tomando como indicadores el coeficiente Omega y KR-20. Se recomienda continuar realizando revisiones del modelo, en una siguiente fase del estudio, a la vez de complementar análisis con componentes orientados a necesidades educativas y el desarrollo de habilidades blandas.