Assessing factors that influence young children's food preferences and choices

Researchers have identified an unbalanced diet as a key risk factor in the etiology of many chronic diseases (World Health Organization, 2003 ). Although researchers have found that numerous factors influence children's food choices, no assessment exists to identify these factors. In Experiment 1, we established preliminary empirical evidence of children's preferences for healthier and less‐healthy foods, and found that 16 of 21 children preferred less‐healthy foods to healthier foods. In Experiment 2, we established the utility of an analogue, competing parameters assessment designed to approximate children's food choices in the natural environment. We identified either quality or immediacy as the most influential parameters governing four of four childrens' food choices. We found that effort influenced the efficacy of these reinforcer parameters in a predictable manner for one of four children.     

The inter-item standard deviation (ISD): An index that discriminates between conscientious and random responders

Although random responding is prevalent and increases Type II errors, most psychologists avoid trying to identify it because the means to do so are extremely limited. We propose the inter-item standard deviation (ISD), a statistical index of response variance, is suited for this task. We hypothesized that random responders produce large ISDs because they respond to items all over a measure’s response range, whereas conscientious responders produce small ISDs because they respond to items more consistently. We administered a questionnaire containing the NEO-FFI-3 and an embedded validity scale to 134 university students. Another 134 responders were created using a random number generator. For all 268 responders, the ISD was calculated for each of the NEO-FFI-3′s five subscales and an aggregated ISD was calculated by averaging the five ISD indexes. Results showed that (1) random responders produce significantly larger ISDs than conscientious responders, (2) the ISDs were strongly correlated with the embedded validity scale and with one another, and (3) the ISDs correctly identified responders with greater than 80% classification accuracy. The mean ISD yielded greater than 95% classification accuracy. This study shows that responders can be identified by quantifying inter-item response variance.     

The selective action of Cfunc control

According to relational frame theory Cfunc stimuli select which stimulus properties are transformed via derived stimulus relations. To date there has been no demonstration of the selective action of Cfunc control. We provide an analysis of the requirements for such a demonstration, and describe the results from four experiments employing a paradigm consistent with these requirements. We employed a paradigm based on virtual car races. The paradigm had two components: i) a sample racecar screen which showed the performance of a sample racecar, and used experimentally engineered symbols to communicate how the performance of each real racecar would compare with that of the sample racecar, and ii) a car race screen showing other racecars race. Two symbols were established as Crels for the relations of same and different, and two symbols were established as Cfuncs for the functional properties of speed and direction. The results from these experiments demonstrate Cfunc stimuli can select which functions transform via derived stimulus relations, a central component of relational frame theory. The study has implications for the study of relational responding in complex settings and for applied work aimed at refining repertoires of relational responding.     

The Marlowe–Crowne Social Desirability Scale outperforms the BIDR Impression Management Scale for identifying fakers

Self-report personality tests are used widely, but it is not uncommon for an individual’s scale score to be invalid due to Socially Desirable Responding (SDR): answering to be viewed favourably. Various indices exist to detect SDR (e.g., faking). The Marlowe–Crowne Social Desirability Scale (MCSDS) formerly was the most popular. The current gold standard is the Balanced Inventory of Desirable Responding (BIDR), considered more sensitive because its development incorporated newer theoretical and empirical understanding of SDR and more sophisticated multivariate techniques. We compare the efficacy of these measures with surprising results: the MCSDS consistently outperforms the BIDR in identifying fakers. This finding indicates that the MCSDS should be retained because it captures elements of faking more effectively than the modern scale.