@phdthesis{Timme2023, author = {Timme, Sinika}, title = {Affective responses during exercise and situated exercise-related decision-making}, doi = {10.25932/publishup-61432}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-614323}, school = {Universit{\"a}t Potsdam}, pages = {V, 123}, year = {2023}, abstract = {The field of exercise psychology has established robust evidence on the health benefits of physical activity. However, interventions to promote sustained exercise behavior have often proven ineffective. This dissertation addresses challenges in the field, particularly the neglect of situated and affective processes in understanding and changing exercise behavior. Dual process models, considering both rational and affective processes, have gained recognition. The Affective Reflective Theory of Physical Inactivity and Exercise (ART) is a notable model in this context, positing that situated processes in-the-moment of choice influence exercise decisions and subsequent exercise behavior. The dissertation identifies current challenges within exercise psychology and proposes methodological and theoretical advancements. It emphasizes the importance of momentary affective states and situated processes, offering alternatives to self-reported measures and advocating for a more comprehensive modeling of individual variability. The focus is on the affective processes during exercise, theorized to reappear in momentary decision-making, shaping overall exercise behavior. The first publication introduces a new method by using automated facial action analysis to measure variable affective responses during exercise. It explores how these behavioral indicators covary with self-reported measures of affective valence and perceived exertion. The second publication delves into situated processes at the moment of choice between exercise and non-exercise options, revealing that intraindividual factors play a crucial role in explaining exercise-related choices. The third publication presents an open-source research tool, the Decisional Preferences in Exercising Test (DPEX), designed to capture repeated situated decisions and predict exercise behavior based on past experiences. The findings challenge previous assumptions and provide insights into the complex interplay of affective responses, situated processes, and exercise choices. The dissertation underscores the need for individualized interventions that manipulate affective responses during exercise and calls for systematic testing to establish causal links to automatic affective processes and subsequent exercise behavior. This dissertation highlights the necessity for methodological and conceptual refinements in understanding and promoting exercise behavior, ultimately contributing to the broader goal of combating increasing inactivity trends.}, language = {en} } @phdthesis{Kwarikunda2023, author = {Kwarikunda, Diana}, title = {Interest, motivation, and learning strategies use during physics learning}, doi = {10.25932/publishup-60931}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-609311}, school = {Universit{\"a}t Potsdam}, pages = {viii, 221}, year = {2023}, abstract = {The purpose of this thesis was to investigate the developmental dynamics between interest, motivation, and learning strategy use during physics learning. The target population was lower secondary school students from a developing country, given that there is hardly in research that studies the above domain-specific concepts in the context of developing countries. The aim was addressed in four parts. The first part of the study was guided by three objectives: (a) to adapt and validate the Science Motivation Questionnaire (SMQ-II) for the Ugandan context; (b) to examine whether there are significant differences in motivation for learning Physics with respect to students' gender; and (c) to establish the extent to which students' interest predicts their motivation to learn Physics. Being a pilot study, the sample comprised 374 randomly selected students from five schools in central Uganda who responded to anonymous questionnaires that included scales from the SMQ-II and the Individual Interest Questionnaire. Data were analysed using confirmatory factor analyses, t-tests and structural equation modelling in SPSS-25 and Mplus-8. The five-factor model solution of the SMQ-II fitted adequately with the study data, with deletion of one item. The modified SMQ-II exhibited invariant factor loadings and intercepts (i.e., strong measurement invariance) when administered to boys and girls. Furthermore, on assessing whether motivation for learning Physics varied with gender, no significant differences were noted. On assessing the predictive effects of individual interest on students' motivation, individual interest significantly predicted all motivational constructs, with stronger predictive strength on students' self-efficacy and self-determination in learning Physics. In the second part whilst using comprised 934 Grade 9 students from eight secondary schools in Uganda, Latent profile analysis (LPA) - a person-centred approach was used to investigate motivation patterns that exist in lower secondary school students during physics learning. A three-step approach to LPA was used to answer three research questions: RQ1, which profiles of secondary school students exist with regards to their motivation for Physics learning; RQ2, are there differences in students' cognitive learning strategies in the identified profiles; and RQ3, does students' gender, attitudes, and individual interest predict membership in these profiles? Six motivational profiles were identified: (i) low-quantity motivation profile (101 students; 10.8\%); (ii) moderate-quantity motivation profile (246 students; 26.3\%); (iii) high-quantity motivation profile (365 students; 39.1\%); (iv) primarily intrinsically motivated profile (60 students,6.4\%); (v) mostly extrinsically motivated profile (88 students, 9.4\%); and (vi) grade-introjected profile (74 students, 7.9\%). Low-quantity and grade introjected motivated students mostly used surface learning strategies whilst the high-quantity and primarily intrinsically motivated students used deep learning strategies. On examining the predictive effect of gender, individual interest, and students' attitudes on the profile membership, unlike gender, individual interest and students' attitudes towards Physics learning strongly predicted profile membership. In the third part of the study, the occurrence of different secondary school learner profiles depending on their various combinations of cognitive and metacognitive learning strategy use, as well as their differences in perceived autonomy support, intrinsic motivation, and gender was examined. Data were collected from 576 9th grade student. Four learner profiles were identified: competent strategy user, struggling user, surface-level learner, and deep-level learner profiles. Gender differences were noted in students' use of elaboration and organization strategies to learn Physics, in favour of girls. In terms of profile memberships, significant differences in gender, intrinsic motivation and perceived autonomy support were also noted. Girls were 2.4 - 2.7 times more likely than boys to be members of the competent strategy user and surface-level learner profiles. Additionally, higher levels of intrinsic motivation predicted an increased likelihood membership into the deep-level learner profile, whilst higher levels of perceived teacher autonomy predicted an increased likelihood membership into the competent strategy user profile as compared to other profiles. Lastly, in the fourth part, changes in secondary school students' physics motivation and cognitive learning strategies use during physics learning across time were examined. Two waves of data were collected from initially 954 9th students through to their 10th grade. A three-step approach to Latent transition analysis was used. Generally, students' motivation decreased from 9th to 10th grade. Qualitative students' motivation profiles indicated strong with-in person stability whilst the quantitative profiles were relatively less stable. Mostly, students moved from the high quantity motivation profile to the extrinsically motivated profiles. On the other hand, the cognitive learning strategies use profiles were moderately stable; with higher with-in person stability in the deep-level learner profile. None of the struggling users and surface-level learners transitioned into the deep-level learners' profile. Additionally, students who perceived increased support for autonomy from their teachers had higher membership likelihood into the competent users' profiles whilst those with an increase in individual interest score had higher membership likelihood into the deep-level learner profile.}, language = {en} } @phdthesis{Schinkoeth2020, author = {Schink{\"o}th, Michaela}, title = {Automatic affective reactions to exercise-related stimuli}, doi = {10.25932/publishup-47111}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-471115}, school = {Universit{\"a}t Potsdam}, pages = {II, 117}, year = {2020}, abstract = {Even though the majority of individuals know that exercising is healthy, a high percentage struggle to achieve the recommended amount of exercise. The (social-cognitive) theories that are commonly applied to explain exercise motivation refer to the assumption that people base their decisions mainly on rational reasoning. However, behavior is not only bound to reflection. In recent years, the role of automaticity and affect for exercise motivation has been increasingly discussed. In this dissertation, central assumptions of the affective-reflective theory of physical inactivity and exercise (ART; Brand \& Ekkekakis, 2018), an exercise-specific dual-process theory that emphasizes the role of a momentary automatic affective reaction for exercise-decisions, were examined. The central aim of this dissertation was to investigate exercisers and non-exercisers automatic affective reactions to exercise-related stimuli (i.e., type-1 process). In particular, the two components of the ART's type-1 process, that are, automatic associations with exercise and the automatic affective valuation to exercise, were under study. In the first publication (Schinkoeth \& Antoniewicz, 2017), research on automatic (evaluative) associations with exercise was summarized and evaluated in a systematic review. The results indicated that automatic associations with exercise appeared to be relevant predictors for exercise behavior and other exercise-related variables, providing evidence for a central assumption of the ART's type-1 process. Furthermore, indirect methods seem to be suitable to assess automatic associations. The aim of the second publication (Schinkoeth, Weymar, \& Brand, 2019) was to approach the somato-affective core of the automatic valuation of exercise using analysis of reactivity in vagal HRV while viewing exercise-related pictures. Results revealed that differences in exercise volume could be regressed on HRV reactivity. In light of the ART, these findings were interpreted as evidence of an inter-individual affective reaction elicited at the thought of exercise and triggered by exercise-stimuli. In the third publication (Schinkoeth \& Brand, 2019, subm.), it was sought to disentangle and relate to each other the ART's type-1 process components—automatic associations and the affective valuation of exercise. Automatic associations to exercise were assessed with a recoding-free variant of an implicit association test (IAT). Analysis of HRV reactivity was applied to approach a somatic component of the affective valuation, and facial reactions in a facial expression (FE) task served as indicators of the automatic affective reaction's valence. Exercise behavior was assessed via self-report. The measurement of the affective valuation's valence with the FE task did not work well in this study. HRV reactivity was predicted by the IAT score and did also statistically predict exercise behavior. These results thus confirm and expand upon the results of publication two and provide empirical evidence for the type-1 process, as defined in the ART. This dissertation advances the field of exercise psychology concerning the influence of automaticity and affect on exercise motivation. Moreover, both methodical implications and theoretical extensions for the ART can be derived from the results.}, language = {en} }