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Classifying the Perception of Difficult Life Tasks: Machine Learning and/or Modeling of Logical Processes
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Background. Although quite a few classifications of coping strategies have been proposed, with different premises, much less is known about the methods of interpretation and how people using different types of coping perceive their life difficulties.
Objective. To develop a verifiable algorithm for classifying perceived difficulties. The proposed classification was developed deductively, using “approach–avoidance” as the basis for cognitive activity aimed at taking on (approaching) a difficult situation or escaping from it, avoiding a solution to the problem. The classification comprises 1) driven, 2) maximum, 3) optimal, 4) ambivalent, and 5) evasive types of perception of difficult life tasks (DLTs). Types 1, 2, and 3 correspond to approaching a difficult situation, and 5 to avoiding it. Type 4 involves a combination of approach and avoidance.
Design. The type is determined by an expert psychologist in a complex way, based on a combination of 1) the respondent’s profile according to the “Types of Orientations in Difficult Situations” questionnaire (TODS) and 2) features that are significant for the type as shown in qualitative data – descriptions of DLTs (answers to open questions). Machine learning methods and A.S. Podkolzin’s computer modeling of logical processes are used to develop the algorithm. The sample comprised 611 adult participants (Mage = 25; SD = 5.8; 427 women).
Results. Using machine-learning algorithms, various options were tested for separation into classes; the best results were obtained with a combination of markup and questionnaire features and sequential separation of classes. Using computer modeling of logical processes, decisive classification rules were tested, based on the psychologist’s description of the features of the type of perception. The classification accuracy using these rules of the final algorithm is 77.17% of cases.
Conclusion. An algorithm was obtained that allows step-by-step tracing of the process by which a classification problem is solved by the psychologist. We propose a new model for studying situational perception using a mixed research design and computer-modeling methods.
DOI: 10.11621/pir.2024.0205
Keywords: situation perception/ difficult life task/ orientation in a difficult situation/ coping/ machine learning/ modeling of logical processes/ complex diagnostics/ coping classification/ decision tree
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Subjective Appraisal and Orientations in Difficult Life Situations as Predictors of Coping Strategies
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Background. Many studies have shown that problem-focused coping and a positive reappraisal of one’s situation are the most conducive to achieving life goals and psychological well-being, whereas avoidance coping and self-blame have a negative impact on well-being. But there is not enough data on what the predictors of these coping strategies are in the situational context.
Objective. To assess the combined influence of subjective appraisal (uncontrollability, unclearness, negative emotions) and orientations in difficult situations (by drive and rejection) on planful problem solving, positive reappraisal, wishful thinking (fantasizing), and self-blame.
Design. The research has a survey design. The sample consisted of 637 adult participants who analyzed difficult situations in their lives associated with achieving significant life goals of various types (N = 637; 60% female; Mage = 24.2; SD = 6.25). Two alternative structural models were assessed, which include subjective appraisals of the situation (uncontrollability, unclearness, intensity of negative emotions), orientations in difficult situations (drive and rejection), and ways of coping (planful problem-solving, positive reappraisal, wishful thinking, and self-blame).
Results. The first model, in which all cognitive appraisals and orientations in difficult situations directly influence coping strategies, has relatively low fit indices. The second model, in which the influence of cognitive appraisal was partially mediated by orientations in difficult situations, has better fit indices. In life situations involving solution of a difficult task, the strongest predictor of problem-focused coping and positive reappraisal is the “drive” orientation of being attracted to difficulties, which mediates the influence of subjective control and emotions on these ways of coping. An orientation away from difficulties, “rejection,” mediates the influence of unclearness and negative emotions on fantasizing and self-blame. A low level of subjective control directly affects self-blame and the avoidance of problem-solving. Negative emotions are a weak predictor of self-blame.
Conclusion. Interaction between the subject and the situation involves appraisal of difficulty, which influences orientation in difficult situations. In turn, orientations are predictors of coping strategies. The characteristics of the psychological situation determine coping, which may be oriented toward approach to or avoidance of the goal.
DOI: 10.11621/pir.2021.0312
Keywords: Cognitive appraisal/ ways of coping/ planful problem-solving/ positive reappraisal/ wishful thinking/ self-blame/ approach coping/ avoidance coping/ life situation
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