The effectiveness of the cognitive-affective stress management training in reducing the stress level of urban poor housewives

• 主要作者: Viengpraprok, John Bunrawd
• 格式: text
• 語言: English
• 出版: Animo Repository 1985
• 主題: Stress management for women; Wives > Psychology; Stress (Psychology); Counseling; Education
• 在線閱讀: https://animorepository.dlsu.edu.ph/etd_masteral/1112

Statement of the Problem: Main Problem: The study sought to find out whether the Cognitive-Affective Stress Management Training (CASMT) is effective in reducing the stress level of urban poor housewives. Sub-Problems: 1. What is the stress level of the urban poor CCF housewives prior to the experiment? 2. Is there a significant difference between the stress level of the CCF housewives who received the CASMT prior to and after the experiment? 3. Is there a significant difference between the stress level of the CCF housewives, after the experiment, who received the CASMT and those who did not receive the CASMT? 4. Is there a significant difference between the stress level of the CCF housewives who did not receive the CASMT prior to and after the experiment? ProcedureThe Randomized Control Group Pretest-Posttest Design was used in this study. Forty housewives in the Christian Children's Fund (CCF) at Concordia College participated in the experiment. They were randomly chosen from a population of 107 subjects, who obtained the ten score of 7 upwards on the pretest with the IPAT: Anxiety Scale, and assigned to the experimental and control groups. Subjects in the experimental group underwent the training for two full-day sessions during which they acquired some cognitive skills to deal with stress. They were also given one week during each session to rehearse the techniques. Their level was measured twice, prior to and after the training, using the translated IPAT: Anxiety Scale of Cattell et. al. Treatment of the Data: The means of the total raw score on both the pre and post tests were computed. The results were analyzed to determine the significant difference using the Two-way Repeated Measures Design.