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We posit that the need for control and predictability is an individual difference variable that is relevant to psychopathology. Being able to control and to predict situations plays a pivotal role in the acquisition and maintenance of several anxiety disorders specifically. We theorize that people with a higher need for controllability and predictability are at a higher risk to develop an anxiety disorder, especially in the context of stressful, ambiguous situations. Until now, however, this possibility has not been systematically investigated because there have been no questionnaire to measure the need for control and to predictability. The present master thesis reports on the psychometric properties of a newly-developed self-report instrument to assess the need for controllability and predictability, namely the Need for Controllability and Predictability Questionnaire (NCP-q). The NCP-q consists of 15 items with seven items relating to the notion of controllability and eight items relating to the notion of predictability. The primary aim of our first study, containing 456 first-year psychology students (389 women), was to find the best-fitting psychometric model for the items of our newly-developed questionnaire. We conducted an exploratory factor analysis (EFA) to examine the underlying structure of the NCP-q. The results of the EFA suggested a two-factor model. The two factors, however, were highly correlated. Therefore, one-factor, two-factor, and bifactor models were tested using confirmatory factor analysis (CFA). Next, in order to evaluate convergent validity, the NCP-q was compared to other questionnaires that measure related concepts. We found high correlations with intolerance of uncertainty (IUS), depression (BDI-II), worry (PSWQ), and trait anxiety (STAI). To ensure that this new questionnaire is reliable over time, test-retest reliability over one month with 49 participants (44women) was examined. In a subsequent step, we assessed the NCP-q in conse