The use of artificial neural networks and multiple linear regression in modelling work–health relationships: Translating theory into analytical practice

Although psychological theory acknowledges the existence of complex systems and the importance of nonlinear effects, linear statistical models have been traditionally used to examine relationships between environmental stimuli and outcomes. The way we analyse these relationships does not seem to reflect the way we conceptualize them. The present study investigated the application of connectionism (artificial neural networks) to modelling the relationships between work characteristics and employee health by comparing it with a more conventional statistical linear approach (multiple linear regression) on a sample of 1003 individuals in employment. Comparisons of performance metrics indicated differences in model fit, with neural networks to some extent outperforming the linear regression models, such that R ² for worn-out and job satisfaction were significantly higher in the neural networks. Most importantly, comparisons revealed that the predictors in the two approaches differed in their relative importance for predicting outcomes. The improvement is attributed to the ability of the neural networks to model complex nonlinear relationships. Being unconstrained by assumptions of linearity, they can provide a better approximation of such psychosocial phenomena. Nonlinear approaches are often better fitted for purpose, as they conform to the need for correspondence between theory, method, and data.     

Effects of divided attention in the word-fragment completion task with unique and multiple solutions

A study with 114 young adults investigated the correlations of intelligence factors and working-memory capacity with reaction time (RT) tasks. Within two sets of four-choice RT tasks, stimulus–response compatibility was varied over three levels: compatible, incompatible, and arbitrary mappings. Two satisfactory measurement models for the RTs could be established: A general factor model without constraints on the loadings and a nested model with two correlated factors, distinguishing compatible from arbitrary mappings, with constraints on the loadings. Structural models additionally including factors for working memory and intelligence showed that the nested model with correlated factors is superior in fit. Working-memory capacity and fluid intelligence were correlated strongly with the nested factor for the RT tasks with arbitrary mappings, and less with the general RT factor. The results support the hypothesis that working memory is needed to maintain arbitrary bindings between stimulus representations and response representations, and this could explain the correlation of working-memory capacity with speed in choice RT tasks.     

The effects of parental illness and other ill family members on youth caregiving experiences

Informed by a model of family role redistribution derived from the family ecology framework, this study examined differences in two proposed psychological components of role redistribution (youth caregiving experiences and responsibilities) between youth of a parent with illness and their peers from ‘healthy’ families controlling for the effects of whether a parent is ill or some other family member, illness type and demographics. Based on self-report questionnaire data, four groups of Australian children were derived from a community sample of 2474 youth (‘healthy’ family, n = 1768; parental illness, n = 336; other family member illness (OFMI), n = 254; both parental and OFMI, n = 116). The presence of any family member with a serious illness is associated with an intensification of youth caregiving experiences relative to peers from healthy families. This risk is elevated if the ill family member is a parent, if more illnesses are present and by certain youth and family demographics, and especially by higher caregiving responsibilities. The presence of a family member, particularly a parent, with a serious medical condition has pervasive increased effects on youth caregiving compared to healthy families, and these effects are not fully accounted for by illness type, demographics or caregiving responsibilities.     

Adults' Acquisition of Novel Dimension Words: Creating a Semantic Congruity Effect

The semantic congruity effect is exhibited when adults are asked to compare pairs of items from a series, and their response is faster when the direction of the comparison coincides with the location of the stimuli in the series. For example, people are faster at picking the bigger of 2 big items than the littler of 2 big items. In the 4 experiments presented, adults were taught new dimensional adjectives (mal/ler and borg/er). Characteristics of the learning situation, such as the nature of the stimulus series and the relative frequency of labeling, were varied. Results revealed that the participants who learned the relative meaning of the artificial dimensional adjectives also formed categories and developed a semantic congruity effect regardless of the characteristics of training. These findings have important implications for our understanding of adult acquisition of novel relational words, the relationship between learning such words and categorization, and the explanations of the semantic congruity effect.     

Can I Reach That Sticker? Preschoolers' Practical Judgments About Their Own and Others’ Body Size

Research to date has focused mostly on children's representation of their physical self as a prelude to the development of a theory of mind (ToM) and on their understanding of the self as distinct from others over time. Whether children approaching the well-known age of ToM mastery are also accurately appraising their own body's functional relationship to the everyday environment remains largely an unanswered question. Little work has investigated typical preschool-age children's explicit accuracy when making judgments about their own body's proportions. In the current study, 98 preschoolers made 16 practical judgments about whether their own body or an experimenter's body could fit through an apparatus (half of the apparatuses were 30% smaller than the body in question, and half were 30% larger). Overall, accuracy increased with age but was unrelated to body size. Children in all age groups performed above chance, and accuracy did not differ depending on target (e.g., self or other). Children in a comparison condition judging fit of inanimate objects (n = 23) performed similarly, though showed less evidence of “yes” bias, and there were no age-based differences in accuracy. Results are discussed with regard to preschoolers’ developing body awareness, as are implications for research protocols in which children are asked to accurately identify their own body size and shape from an array.