Systematic review of interruption and redirection procedures for autistic individuals

Interruption and redirection (IR) procedures involve systematically disrupting an undesirable behavior and prompting an individual to engage in an alternative behavior. These procedures have been frequently assessed for reducing repetitive behaviors for autistic individuals. The primary purpose of this review was to assess IR interventions to determine whether outcomes vary according to intervention characteristics, dependent variable types, design quality, or publication status. A secondary purpose was to assess the extent to which generalization and maintenance outcomes were measured and whether characteristics of these conditions were related to outcomes. IR interventions were moderately successful for reducing repetitive behaviors but less effective for improving corollary variables such as appropriate vocalizations and functional engagement. Generalization and maintenance outcomes, when measured, were poor. Results indicate the need for alternative or augmentative procedures that focus on engagement in meaningful interactions and activities.     

Knowing things and going places

When I say “I know Sarah,” or “I know Berlin,” what sort of knowledge am I claiming? Such knowledge of a particular is, I claim, not reducible to either propositional knowledge-that or to traditional physical know-how. Mere, bare knowledge by acquaintance also does not capture the kind of knowledge being claimed here. Using knowledge of a place as my central example, I argue that this kind of knowledge-of, or “objectual knowledge” as it is sometimes called, is of a distinctive epistemological sort. It is a genre of inherently first-personal aesthetic knowledge, but it also, like know-how, involves active skill. I end by exploring a couple of classic problems in aesthetic epistemology, applied to the case of knowledge-of as active aesthetic knowledge.     

Six adult male rhesus monkeys did not learn from the choices of a conspecific shown in videos

Animal Cognition - There is substantial evidence of group-specific behaviors in wild animals that are thought to be socially transmitted. Yet experimental studies with monkeys have reported...     

“Sugary drinks” and graphic warning labels: Critique of a recent U.S. study of parents' beverage choices for their children

A laboratory experiment by U.S. public health researchers Hall et al. claimed to demonstrate that a graphic picture-and-text warning label placed on so-called sugary drinks would substantially reduce parents' purchase of them for their children. Hall et al., however, misclassified the alleged “sugary drinks,” omitting those containing natural but equally harmful sugars such as fructose in fruit juice and lactose in milk. They also implied that artificially sweetened “non-sugary” drinks are harmless when available research indicates otherwise. The experiment was further invalidated by the fact that warning labels are illegal in the U.S., and those that Hall et al. used would not be permitted in any case because they partially obscured the manufacturer's brand label. There were many other methodological problems with Hall et al.'s experiment, among them the failure to do what any competent consumer researcher would do—namely ask the parents afterwards why they made the choices that they did.     

Premature conclusions about the signal-to-noise ratio in structural equation modeling research: A commentary on Yuan and Fang (2023)

In a recent article published in this journal, Yuan and Fang (British Journal of Mathematical and Statistical Psychology, 2023) suggest comparing structural equation modeling (SEM), also known as covariance-based SEM (CB-SEM), estimated by normal-distribution-based maximum likelihood (NML), to regression analysis with (weighted) composites estimated by least squares (LS) in terms of their signal-to-noise ratio (SNR). They summarize their findings in the statement that “[c]ontrary to the common belief that CB-SEM is the preferred method for the analysis of observational data, this article shows that regression analysis via weighted composites yields parameter estimates with much smaller standard errors, and thus corresponds to greater values of the [SNR].” In our commentary, we show that Yuan and Fang have made several incorrect assumptions and claims. Consequently, we recommend that empirical researchers not base their methodological choice regarding CB-SEM and regression analysis with composites on the findings of Yuan and Fang as these findings are premature and require further research.     

Heterogeneous heterogeneity by default: Testing categorical moderators in mixed-effects meta-analysis

Categorical moderators are often included in mixed-effects meta-analysis to explain heterogeneity in effect sizes. An assumption in tests of categorical moderator effects is that of a constant between-study variance across all levels of the moderator. Although it rarely receives serious thought, there can be statistical ramifications to upholding this assumption. We propose that researchers should instead default to assuming unequal between-study variances when analysing categorical moderators. To achieve this, we suggest using a mixed-effects location-scale model (MELSM) to allow group-specific estimates for the between-study variance. In two extensive simulation studies, we show that in terms of Type I error and statistical power, little is lost by using the MELSM for moderator tests, but there can be serious costs when an equal variance mixed-effects model (MEM) is used. Most notably, in scenarios with balanced sample sizes or equal between-study variance, the Type I error and power rates are nearly identical between the MEM and the MELSM. On the other hand, with imbalanced sample sizes and unequal variances, the Type I error rate under the MEM can be grossly inflated or overly conservative, whereas the MELSM does comparatively well in controlling the Type I error across the majority of cases. A notable exception where the MELSM did not clearly outperform the MEM was in the case of few studies (e.g., 5). With respect to power, the MELSM had similar or higher power than the MEM in conditions where the latter produced non-inflated Type 1 error rates. Together, our results support the idea that assuming unequal between-study variances is preferred as a default strategy when testing categorical moderators.     

Facial comparison behaviour of forensic facial examiners

Facial examiners make visual comparisons of face images to establish the identities of persons in police investigations. This study utilised eye-tracking and an individual differences approach to investigate whether these experts exhibit specialist viewing behaviours during identification, by comparing facial examiners with forensic fingerprint analysts and untrained novices across three tasks. These comprised of face matching under unlimited (Experiment 1) and time-restricted viewing (Experiment 2), and with a feature-comparison protocol derived from examiner casework procedures (Experiment 3). Facial examiners exhibited individual differences in facial comparison accuracy and did not consistently outperform fingerprint analysts and novices. Their behaviour was also marked by similarities to the comparison groups in terms of how faces were viewed, as evidenced from eye movements, and how faces were perceived, based on the made feature judgements and identification decisions. These findings further understanding of how facial comparisons are performed and clarify the nature of examiner expertise.     

Lies and bullshit: The negative effects of misinformation grow stronger over time

In a world where exposure to untrustworthy communicators is common, trust has become more important than ever for effective marketing. Nevertheless, we know very little about the long-term consequences of exposure to untrustworthy sources, such bullshitters. This research examines how untrustworthy sources—liars and bullshitters—influence consumer attitudes toward a product. Frankfurt's (1986) insidious bullshit hypothesis (i.e., bullshitting is evaluated less negatively than lying but bullshit can be more harmful than are lies) is examined within a traditional sleeper effect—a persuasive influence that increases, rather than decays over time. We obtained a sleeper effect after participants learned that the source of the message was either a liar or a bullshitter. However, compared to the liar source condition, the same message from a bullshitter resulted in more extreme immediate and delayed attitudes that were in line with an otherwise discounted persuasive message (i.e., an advertisement). Interestingly, attitudes returned to control condition levels when a bullshitter was the source of the message, suggesting that knowing an initially discounted message may be potentially accurate/inaccurate (as is true with bullshit, but not lies) does not result in the long-term discounting of that message. We discuss implications for marketing and other contexts of persuasion.