The idea of Happiness at Work is drawn from psychology and economic studies. It is often considered as a synonym with ‘wellbeing’ and defined as a state characterized by a high level of life satisfaction, a high level of positive emotions, and less negative emotions. This research aims to validate the Happiness at Work scale in the Indonesian context. In this study, the researchers conducted cross-cultural adaptation for the Happiness at Work scale following systematic procedures to produce the Scale of Happiness at Work in the Indonesian language. Afterward, the researchers evaluated the content validity with the help of professional judgment and measured the Content Validity Index at the item level and the scale level. Further, to examine the psychometric properties of the Happiness at Work scale, the researchers administer the questionnaire to a sample of 105 (35 male and 70 female) lecturers to conduct exploratory factor analysis to formulate the new dimensionality of the Happiness at Work scale. The results of Exploratory Factor Analysis indicated that Happiness at Work in the Indonesian context could be measured using four dimensions. To confirm that the extracted dimensions measure a single construct, the researchers administered the produced version to a sample of 370 (147 male and 223 female). Afterward, researchers conducted confirmatory factor analysis to evaluate the validity and reliability of the measurement model. This research found out that the Indonesian version of Happiness at Work measurement is reliable and valid. Thus, this study may contribute to the happiness at work literature of non-western context. In conclusion, the Indonesian-Happiness at Work scale shows robust psychometric properties that can be used for further research.

Emotions are a fundamental part of life and play a critical role in shaping individuals’ experiences Effectively regulating emotions in socially appropriate ways is essential for navigating life successfully. This study investigated the impact of seven sadness regulation strategies on depression and anxiety and examined the mediating role of ER in the relationship between sadness regulation and depression and anxiety. A cross-sectional design was employed with 350 participants (144 men, 206 women) aged 18 to 35. Regression analyses showed that sadness regulation strategies significantly predict both depression and anxiety. For depression, the model explained 18.6% of the variance (F (7,342) = 11.140, p < 0.001), with cognitive reappraisal, religious coping, and seeking support negatively associated, while rumination was positively associated. For anxiety, the model explained 19% of the variance (F(7,342) = 11.484, p < 0.001), with rumination and substance use linked to lower anxiety levels, while other strategies showed no significant associations. Mediation analyses highlighted emotion regulation critical role, with sadness regulation influencing depression indirectly through ER (β = -0.024, 95% CI [-0.040, -0.009]) and accounting for 3.6% of the variance. Sadness regulation also had a direct (β = -0.037, p < 0.001) and indirect effect on anxiety through emotion regulation, explaining 6.1% of the variance. These findings underscore the importance of adaptive sadness and emotion regulation strategies in mitigating depression and anxiety, offering valuable insights for therapeutic interventions.

Backgrounds: Accurate measurement and suitable strategies facilitate people regulate their sadness in an effective manner. Regulating or mitigating negative emotions, particularly sadness, is crucial mainly because constant negative emotions may lead to psychological disorders, such as depression and anxiety. This paper presents an overview of sadness regulation strategies and related measurement.Method: Upon adhering to five-step scoping review, this study combed through articles that looked into sadness regulation retrieved from eight databases.Results: As a result of reviewing 40 selected articles, 110 strategies were identified to regulate emotions, particularly sadness. Some of the most commonly reported strategies include expressive suppression, cognitive reappraisal, distraction, seeking social or emotional support, and rumination. The four types of measures emerged from the review are self-reported, informant report (parents or peers), open-ended questions, and emotion regulation instructions. Notably, most studies had tested psychometric properties using Cronbach’s alpha alone, while only a handful had assessed validity (construct and factorial validity) and reliability (Cronbach’s alpha or test-retest) based on responses captured from questionnaire survey.Conclusion: Several sadness regulation strategies appeared to vary based on gender, age, and use of strategy. Despite the general measurement of emotion regulation, only one measure was developed to measure sadness regulation exclusively for children. Future studies may develop a comprehensive battery of measures to assess sadness regulation using multi-component method.

Recently, the identification and detection of children with autism spectrum disorder (ASD) has become an essential issue under ASD intervention services. The high percentage of ASD among children requires preschool teachers to recognizse children’s abnormal development and identify them at an early stage, followed by referral to specialists. Therefore, this identification calls for a specific ability among preschool teachers, identified as knowledge, belief, identification skills, and self-efficacy (KBISSE). This conceptual framework aims to utilize the current literature to present a discussion on preschool teachers’ KBISSE in identifying children with ASD and making decisions to refer children suspected with ASD to specialists. The conceptual framework is discussed based on social cognitive theory (SCT) and the health belief model (HBM). The conceptual framework emphasizes the need for preschool teachers to be educated in ASD via an educational module that could increase teachers’ self-efficacy in identifying children with ASD. Besides, knowledge in ASD, belief in ASD, and identification skills are also necessary variables for building the educational module. The educational module is useful for guiding future research on preschool teachers’ identification of children with any disability, one of which is ASD, and subsequent specialist referral at an early stage.

Background: Early intervention will help children with autism spectrum disorder (ASD) to attain early learning reinforcement. This study focuses on exploring the ability of preschool teachers to identify children with ASD and their referral decision-making process. Method: This is a mixed-method study (qualitative and quantitative methods) involving 20 respondents. The qualitative study is based on an open question case study, while the quantitative study consists of questionnaire with demographic variables to identify the effect of the demographic variables on the preschool teachers’ ability to identify children with ASD. Sample: The sample was selected via convenience sampling among mainstream preschool teachers. The data was analyzed using SPSS software and thematic analysis. Results: The findings show that preschool teachers did not have skills at identifying children with ASD, and the majority of them labelled children with ASD as spoilt or hyperactive children. They also viewed children with ASD as having other disorders such as attention deficit hyperactivity disorder (ADHD) or communication disorders such as introversion. Moreover, preschool teachers expressed that the reason for the child’s behaviour could be due to the parents’ inability to properly educate their child. Additionally, the demographic variables of the preschool teachers, such as age, education level and teaching experience, were found not to affect their ASD identification skills. Conclusion: Preschool teachers need to improve their skills in identifying ASD among children via training.