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http://hdl.handle.net/123456789/10949
Title: | Effect of Process and Reach Models on Forgiveness and Anger of Ghanaian Counsellor Trainees |
Authors: | Akosah, Jones Clifford |
Keywords: | Process Model, REACH Model, Forgiveness, Counsellor Trainees. Anger |
Issue Date: | Jan-2023 |
Publisher: | University of Cape Coast |
Abstract: | The study explored the effects of Process and REACH models on forgiveness and anger for counsellor trainees. The researcher used the sequential explanatory mixed method model which involved the use of questionnaire and interview guide to gather data for the study. The research design of the study was the quasi-experimental and an interview. One research question and seven hypotheses were formulated to guide the study. The population of the study consisted of all first year postgraduate counsellor trainees’ in the University of Ghana, Methodist University Ghana (MUG) and University of Education, Winneba totaling 80. They comprised 34 males and 46 females. Sampling techniques that were used for both the quantitative and qualitative aspects were the simple random sampling and purposive sampling respectively. For the quantitative aspect, the data were analyzed using Analysis of Covariance (ANCOVA). For the qualitative aspect, data reduction technique and content analysis were used to analyse the data. The study revealed that the Process and REACH models had significant positive effect on forgiveness among participants as well as reducing the anger levels of participants. Gender, age and marital status did not have any significant influence on forgiveness and anger when counsellor trainees were exposed to the Process and REACH models. Based on these findings, it was recommended that professional counsellors and psychologists should consider these two therapies as alternatives to improving forgiveness levels and reducing anger |
Description: | i, xiv; 219p |
URI: | http://hdl.handle.net/123456789/10949 |
Appears in Collections: | Counselling Centre |
Files in This Item:
File | Description | Size | Format | |
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AKOSAH, 2023.pdf | Mpil Dissertation | 3.31 MB | Adobe PDF | View/Open |
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