Construction and validation of Rejection Sensitive Expectation,Perception, and Reaction Questionnaire—Partner (RSEPR-P)

The Rejection Sensitive Expectation, Perception, and Reaction Questionnaire—Partner (RSEPR-P) was developed to assess rejection expectation, perception of rejection, and reactions to perceived rejection among intimate partners. This article details the construction and validation procedures, including item pool generation, factor analysis, and the estimation of reliability and validity. The researchers examined the psychometric properties of RSEPR-P in a community sample of 151 participants. Confirmatory factor analysis (CFA) with the final 24 items suggested four-factor loading with each subscale loading on a separate factor. The subscales had good to excellent internal consistency. In support of the convergent validity, RSEPR-P exhibited robust correlations with rejection sensitivity-personal, mindfulness, marital adjustment, and self-esteem measures. A 6-month test–retest reliability was established. RSEPR-P is proposed to have potential therapeutic and research utility.     

Sampling refugee groups: The example of Syrians in Turkey

Quantitative surveys among refugees not only advance our scientific understanding of forced migration, but they also provide political and civil society actors with the information they need to take measures to improve their protection and living conditions. These actors often need to acquire such information within a short period of time. However, the methods to access and survey this group to gain valid findings are subject to scientific debates. Based on a survey among Syrian refugees in Turkey, this article demonstrates a study design that generated valid knowledge about this population within a limited amount of time and resources. As a unique feature of the article, we compare our sample with four other sources of information to scrutinize how well it resembles the target population. As we can show, although point estimations differ to some extent, the internal distributions of sample characteristics are comparable across sources confirming the success of our sampling method.