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Affectively Motivated: Affective Profiles, Motivation, Stress and Energy | ||
| Iranian Journal of Health Psychology | ||
| مقاله 2، دوره 2، شماره 2 - شماره پیاپی 4، اسفند 2019، صفحه 21-32 اصل مقاله (875.71 K) | ||
| نوع مقاله: research | ||
| شناسه دیجیتال (DOI): 10.30473/ijohp.2019.36459.1006 | ||
| نویسندگان | ||
| Danilo Garcia* 1؛ Lillemor Adrianson2؛ Clara Amato3؛ Max Rapp-Ricciardi3 | ||
| 1Blekinge County Council AND University of Gothenburg | ||
| 2University of Borås Department of Teacher Education Borås Sweden | ||
| 3Blekinge Centre for Competence Blekinge County Council Karlskrona Sweden | ||
| چکیده | ||
| Abstract Objective: We used the affective profiles model to investigate individual differences in motivation, stress and energy. The aim was to replicate past findings, but we also focused on matched comparisons within individuals with affective profiles that are similar in one affective dimension and differ in the other in order to predict changes when individuals increase/decrease their experience of positive or negative affect. Methods: A total of 567 participants answered the Positive Affect and Negative Affect Schedule, which was used for affective profiling; the Situational Motivation Scale, which measures intrinsic motivation, identified regulation, external regulation, and amotivation; and the Stress-Energy questionnaire. Results: Comparisons between the four different profiles, replicating the past findings, showed that individuals with high affective and self-fulfilling profile scored highest in intrinsic motivation, identified regulation, and energy, while they scored lowest in external motivation, amotivation, and the self-fulfilling profile, also lowest in stress. Additionally, the matched comparisons showed, for example, that levels of intrinsic motivation increase when negative affect levels decrease, and positive affect is kept high when positive affect decreases and negative affect is kept low. Conclusions: One important feature of the affective profiles model is the possibility to compare individuals that are similar in one affect dimension but differ in the other (Garcia, 2011, 2017). This way of discussing individual differences helps to predict what changes could be expected when individuals increase or decrease their experience of positive or negative affect. Importantly, the direction of these changes cannot be addressed from cross-sectional data | ||
| کلیدواژهها | ||
| Affective Profiles؛ Energy؛ Moderation؛ Motivation؛ Stress | ||
| عنوان مقاله [English] | ||
| Affectively Motivated: Affective Profiles, Motivation, Stress and Energy | ||
| نویسندگان [English] | ||
| Danilo Garcia1؛ | ||
| چکیده [English] | ||
| Abstract Objective: We used the affective profiles model to investigate individual differences in motivation, stress and energy. The aim was to replicate past findings, but we also focused on matched comparisons within individuals with affective profiles that are similar in one affective dimension and differ in the other in order to predict changes when individuals increase/decrease their experience of positive or negative affect. Methods: A total of 567 participants answered the Positive Affect and Negative Affect Schedule, which was used for affective profiling; the Situational Motivation Scale, which measures intrinsic motivation, identified regulation, external regulation, and amotivation; and the Stress-Energy questionnaire. Results: Comparisons between the four different profiles, replicating the past findings, showed that individuals with high affective and self-fulfilling profile scored highest in intrinsic motivation, identified regulation, and energy, while they scored lowest in external motivation, amotivation, and the self-fulfilling profile, also lowest in stress. Additionally, the matched comparisons showed, for example, that levels of intrinsic motivation increase when negative affect levels decrease, and positive affect is kept high when positive affect decreases and negative affect is kept low. Conclusions: One important feature of the affective profiles model is the possibility to compare individuals that are similar in one affect dimension but differ in the other (Garcia, 2011, 2017). This way of discussing individual differences helps to predict what changes could be expected when individuals increase or decrease their experience of positive or negative affect. Importantly, the direction of these changes cannot be addressed from cross-sectional data | ||
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