Evidence-based recommendations for designing free-sorting experiments.

The card-sorting task is a flexible research tool that is widely used across many of the subfields of psychology. Yet this same great flexibility requires researchers to make several (seemingly arbitrary) decisions in their designs, such as fixing a sufficient number of objects to sort, setting task requirements, and creating task instructions for participants. In the present research, we provide a systematic empirical investigation of the consequences of typical researcher design choices while administering sorting tasks. Specifically, we studied the effects of seven sorting task design factors by collecting data from over 1,000 online participants assigned to one of 36 sorting tasks, as part of a fractional factorial experimental design. Analyses show the effects of the various researcher decisions on the probability that participants would quit the task, the amount of time spent on the task, the number of piles made, and posttask measures such as satisfaction and depletion. Research design recommendations are provided.

Biased predecisional processing of leading and nonleading alternatives.

When people obtain information about choice alternatives in a set one attribute at a time, they rapidly identify a leading alternative. Although previous research has established that people then distort incoming information, it is unclear whether distortion occurs through favoring of the leading alternative, disfavoring of the trailing alternative, or both. Prior examinations have not explored the predecisional treatment of the nonleading alternative (or alternatives) because they conceptualized distortion as a singular construct in binary choice and measured it using a relative item comparing the evaluation of both alternatives simultaneously. In this article, we introduce a measure of distortion at the level of the alternative, which allows for measuring whether predecisional distortion favors or disfavors every alternative being considered in choice sets of various sizes. We report that both proleader and antitrailer distortion occur and that the use of antitrailer processing differs between binary choices and multiple-options choices.

Financial Mindfulness: A Scale.

The concept of mindfulness has enjoyed much resonance among researchers. Despite this past work, we argue there is a need for a domain-specific conceptualization and measure of financial mindfulness (FM). We first define FM as "the tendency to be highly aware of one's current objective financial state while possessing an acceptance of that state," and, second, develop and validate an eight-item scale to measure individual differences in FM. This article has nine studies, including a field survey administered by a financial services provider to examine actual behavior. Importantly, the FM-Scale is associated with financial behaviors (i.e., sunk cost bias) above and beyond related scales (i.e., money management stress, self-control, and general mindfulness). To the best of our knowledge, our work is the first to provide a succinct way to measure FM that incorporates elements of both awareness and acceptance, highlighting the role of financial acceptance specifically.

A new zero-inflated negative binomial methodology for latent category identification.

We introduce a new statistical procedure for the identification of unobserved categories that vary between individuals and in which objects may span multiple categories. This procedure can be used to analyze data from a proposed sorting task in which individuals may simultaneously assign objects to multiple piles. The results of a synthetic example and a consumer psychology study involving categories of restaurant brands illustrate how the application of the proposed methodology to the new sorting task can account for a variety of categorization phenomena including multiple category memberships and for heterogeneity through individual differences in the saliency of latent category structures.