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<h2>Variables</h2> <ul> <li>Independent variables: temperature and motivation manipulation </li> <li>Mediator: need for affiliation </li> <li>Dependent variables: attractiveness house, quality house, and communality house</li> </ul> <p>The outside temperature of each day collecting data will be noted (we will explore this as potentially moderating variable). </p> <hr> <h2>Procedure Study 1</h2> <ul> <li>Control condition (inside): participants were approached inside a shopping mall and were asked to fill in a short questionnaire for a consumer test about a house.</li> <li>Outside condition / staying outside: participants were approached outside a shopping mall and were asked to fill in a short questionnaire for a consumer test about a house.</li> <li>Outside condition / going inside: participants were approached outside a shopping mall and were asked to fill in a short questionnaire for a consumer test about a house. Additionally, they were told that we would finish the test inside of the shopping mall.</li> </ul> <hr> <h2>Power Analyses (conducted with G*Power)</h2> <ul> <li>We based the power analyses on the effect sizes from the original study of IJzerman (2013)</li> <li>Independent samples t-test (two-tailed)</li> <li>Effect size (Cohen’s d): 0.37567</li> <li>Power (β): 0.80</li> <li>Alpha (α): 0.05</li> <li>Allocation ratio N2/N1: 1</li> <li>We calculated a sample size of 226.</li> </ul> <p>We were planning to run an intermediate analysis after collecting 113 participants. After this, we decided to adjust the Analysis Plan and sample size. </p> <hr> <h2>Questionnaires</h2> <ul> <li>Questionnaire need for affiliation </li> <li>Questionnaire house </li> </ul>
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