Based on research from the Investment Model, what was stronger in predicting why people stay in a relationship and what was the stronger predictor in why they would leave a relationship.Select an answer and submit. For keyboard navigation, use the up/down arrow keys to select an answer.acomparison level for alternatives predicted if they would leave; level of investment predicted if they would staybsatisfaction (rewards/costs) predicted if they would leave; comparison level for alternatives predicted if they would staycLevel of investment predicted leaving and satisfaction level predicted leaving
Question
Based on research from the Investment Model, what was stronger in predicting why people stay in a relationship and what was the stronger predictor in why they would leave a relationship.Select an answer and submit. For keyboard navigation, use the up/down arrow keys to select an answer.acomparison level for alternatives predicted if they would leave; level of investment predicted if they would staybsatisfaction (rewards/costs) predicted if they would leave; comparison level for alternatives predicted if they would staycLevel of investment predicted leaving and satisfaction level predicted leaving
Solution
Based on the Investment Model of relationships, the stronger predictor for why people stay in a relationship is the level of investment they have put into it. This includes time, effort, shared experiences, shared possessions, etc. The more a person has invested in a relationship, the less likely they are to leave.
On the other hand, the stronger predictor for why people would leave a relationship is the comparison level for alternatives. This refers to a person's evaluation of the benefits they would receive from the best available alternative compared to the benefits they are receiving in their current relationship. If a person perceives that they could be happier or more satisfied in a different relationship, they are more likely to leave their current one.
So, the answer is a) comparison level for alternatives predicted if they would leave; level of investment predicted if they would stay.
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