As frontline education providers, teachers have encountered many challenges since the outbreak of the COVID-19 pandemic. To better understand teacher well-being during this crisis and inform practices to support them, this study employed an online survey with a mixed-methods approach to assess teacher well-being and the support they need to work effectively. A sample of 151 elementary school teachers in the United States was recruited in summer 2020 to complete an online survey through emails and social media outlets. Participants were asked to provide retrospective reports of their experiences teaching in spring 2020 after schools closed due to COVID-19. The majority of participants reported feeling emotionally exhausted and high levels of task stress and job ambiguity. Consistent with hypotheses, path analysis testing a model informed by the job demand-resources framework indicated that task stress and job ambiguity were robustly related to teacher well-being. Moreover, three job resources (i.e., teaching efficacy, school connectedness, and teaching autonomy) were related to job satisfaction. A moderation finding revealed that teachers who reported high teaching efficacy felt emotionally exhausted when they were unclear of their job duties. Thematic analysis of responses to an open-ended question found that teachers would feel supported if provided resources to develop competence in distance learning, workplace emotional support, and flexibility during COVID-19. The findings identified a critical need to allocate more attention and resources to support teacher psychological health by strengthening emotional support, autonomy, and teaching efficacy. Impact and ImplicationsNearly half of the surveyed teachers experienced a high level of stress during the first few months of teaching during school closures due to COVID-19. The findings describe how key job demands and job resources influence elementary school teachers' well-being in the pandemic. In particular, school psychologists and administrators may better support teachers' well-being during the COVID-19 pandemic by reducing teachers' workload, developing clear job expectations, and promoting online teaching competence.

Latent transition analysis (LTA), also referred to as latent Markov modeling, is an extension of latent class/profile analysis (LCA/LPA) used to model the interrelations of multiple latent class variables. LTA methods have become increasingly accessible and in-turn are being utilized in applied research. The current article provides an introduction to LTA by answering 10 questions commonly asked by applied researchers. Topics discussed include: (1) an overview of LTA; (2) a comparison of LTA to other longitudinal models; (3) software used to run LTA; (4) sample size suggestions; (5) modeling steps in LTA; (6) measurement invariance; (7) the inclusion of auxiliary variables; (8) interpreting results of an LTA; (9) the nature of data (e.g., longitudinal, cross-sectional); and (10) extensions of LTA. An applied example of LTA is included to help understand how to build an LTA and interpret results. Finally, the article suggests future areas of research for LTA. This article provides an overview of LTA, highlighting key decisions researchers need to make to navigate and implement an LTA analysis from start to finish.

Past research has found a mixed relationship between age and subjective well-being. The current research advances the understanding of these findings by incorporating a cultural perspective. We tested whether the relationship between age and well-being is moderated by uncertainty avoidance, a cultural dimension dealing with society’s tolerance for ambiguity. In Study 1 ( N = 64,228), using a multilevel approach with an international database, we found that older age was associated with lower well-being in countries higher in uncertainty avoidance but not in countries lower in uncertainty avoidance. Further, this cultural variation was mediated by a sense of control. In Study 2 ( N = 1,025), we compared a culture with low uncertainty avoidance (the United States) with a culture with high uncertainty avoidance (Romania) and found a consistent pattern: Age was negatively associated with well-being in Romania but not in the United States. This cultural difference was mediated by the use of contrasting coping strategies associated with different levels of a sense of control.

Past research has found a strong and positive association between the independent self-construal and life satisfaction, mediated through self-esteem, in both individualistic and collectivistic cultures. In Study 1, we collected data from four countries (the United States, Japan, Romania, and Hungary; N = 736) and replicated these findings in cultures which have received little attention in past research. In Study 2, we treated independence as a multifaceted construct and further examined its relationship with self-esteem and life satisfaction using samples from the United States and Romania (N = 370). Different ways of being independent are associated with self-esteem and life satisfaction in the two cultures, suggesting that it is not independence as a global concept that predicts self-esteem and life satisfaction, but rather, feeling independent in culturally appropriate ways is a signal that one’s way of being fits in and is valued in one’s context.