The Three-Step Test-Interview (TSTI) is an instrument for pretesting a self-completion questionnaire by observing actual instances of interaction between the instrument and respondents (the response process). Because this process mainly consists of cognitive processing (‘thinking’) and is...

Basic methods to compute the required sample size are well understood and supported by widely available software. However, the sophistication of the sample size methods commonly used has not kept pace with the complexity of the experimental designs most often employed in practice. In this paper,...

Balanced experimental designs, in which the number of treatment and control units are the same, do not maximize power subject to a cost constraint when treat-ment units are more expensive than control ones. Despite this, such balanced designs are the norm in economics. This paper describes...

Gender gaps in financial literacy are pervasive and persistent. They are partly explained because women choose "I do not know" more frequently. We test for the effectiveness of three interventions to shift this behavior. The control survey includes the possibility of "I do not know". The three...

This paper discusses the choice of the number of participants for within-subjects (WS) designs and between-subjects (BS) designs based on simulations of statistical power allowing for different numbers of experimental periods. We illustrate the usefulness of the approach in the context of field...

During the last two decades, laboratory experiments have come into increasingprominence and constitute a popular method of research to examine behavioral outcomes and social preferences. However, it has been debated whether results from these experiments can be extrapolated to the real world and...

During the last two decades, laboratory experiments have come into increasing prominence and constitute a popular method of research to examine behavioral outcomes and social preferences. However, it has been debated whether results from these experiments can be extrapolated to the real world...

Basic methods to compute the required sample size are well understood and supported by widely available software. However, the sophistication of the sample size methods commonly used has not kept pace with the complexity of the experimental designs most often employed in practice. In this paper,...

This paper discusses the choice of the number of participants for within-subjects (WS) designs and between-subjects (BS) designs based on simulations of statistical power allowing for different numbers of experimental periods. We illustrate the usefulness of the approach in the context of field...

Designing a new Analytics program requires not only identifying needed courses, but also tying the courses together into a cohesive curriculum with an overriding theme. Such a theme helps determine the proper sequencing of courses and create a coherent linkage between different courses often...