Survey research, or debunking the Q-sort

Efficient unbalanced merge – sort q

Sorting algorithms based on successive merging of ordered subsequences are widely used, due to their efficiency and to their intrinsically parallelizable structure. Among them, the merge–sort algorithm emerges indisputably as the most prominent method. In this paper we present a variant of merge–sort that proceeds through arbitrary merges between pairs of quasi-ordered subsequences, no matter w...

Comparing two image research instruments: The Q-sort method versus the Likert attitude questionnaire

Despite the attention for corporate, brand and product images, only few studies focus on methodological comparisons of image research methods. This article presents a comparison of two current instruments: the Q-sort method and a Likert attitude questionnaire. The study applies both methods to measure the image of beef, using the same assertions in similar samples of consumers. The two methods ...

Debunking the first myth about debunking

Debunking the first myth about debunking

The Situation Construal Model and the Riverside Situational Q - sort

After years of neglect, situations are beginning to be taken seriously in psychological research. Two recent steps include the development of a theoretical framework, the Situation Construal Model (SCM), and an assessment tool, the Riverside Situational Q-sort (RSQ). The SCM describes behavior as a function not only of direct effects of personality and situations, but also as a function of cons...