How to Build a Strong Theoretical Foundation

Estimating the Reliability and Stability of Cognitive Processes Contributing to Responses on the Implicit Association Test

Implicit measures were initially assumed to assess stable individual differences, but other perspectives posit that they reflect context-dependent processes. This pre-registered research investigates whether the processes contributing to responses on the race Implicit Association Test are temporally stable and reliably measured using multinomial processing tree modeling. We applied two models-the Quad model and the Process Dissociation Procedure-to six datasets (N = 2,036), each collected over two occasions, examined the within-measurement reliability and between-measurement stability of model parameters, and meta-analyzed the results. Parameters reflecting accuracy-oriented processes demonstrate adequate stability and reliability, which suggests these processes are relatively stable within individuals. Parameters reflecting evaluative associations demonstrate poor stability but modest reliability, which suggests that associations are either context-dependent or stable but noisily measured. These findings suggest that processes contributing to racial bias on implicit measures differ in temporal stability, which has practical implications for predicting behavior using the Implicit Association Test.

A manifesto for applying behavioural science

Recent years have seen a rapid increase in the use of behavioural science to address the priorities of public and private sector actors. There is now a vibrant ecosystem of practitioners, teams and academics building on each other's findings across the globe. Their focus on robust evaluation means we know that this work has had an impact on important issues such as antimicrobial resistance, educational attainment and climate change. However, several critiques have also emerged; taken together, they suggest that applied behavioural science needs to evolve further over its next decade. This manifesto for the future of applied behavioural science looks at the challenges facing the field and sets out ten proposals to address them. Meeting these challenges will mean that behavioural science is better equipped to help to build policies, products and services on stronger empirical foundations-and thereby address the world's crucial challenges.

Sensory and Emotional Components in Tourist Memories of Wildlife Encounters: Intense, Detailed, and Long-Lasting Recollections of Individual Incidents

To quantify the role of senses and emotions in creating memorable tourism experiences, we need measurement frameworks that match how memories are created. This study examines that process through directed-content qualitative analysis of tourist encounters with wildlife. Data are derived from: interviews with 20 experienced wildlife tourism experts in 12 countries; 3000 social media posts on tourism enterprise and wildlife encounter websites; and participant observations and records of 168 memorable encounters involving >100 wildlife species, >850 tourists, and ~10,000 h in total, ranging over five decades. Across all data sources, senses and emotions differed between tourist interests and personalities, wildlife species and behaviours, and encounter circumstances. All senses were reported, with the most frequent being sight, followed by sound and smell, and, rarely, touch or taste. Descriptions were fine-grained and complex. The emotions reported were awe, joy, wonder, delight, thrill, amazement, envy, aww (cute-emotion), surprise, elation, satisfaction, interest, boredom, disappointment, sadness, embarrassment, concern, pity, distress, disgust, anxiety, shock, alarm, fear, and panic. Some experiences generated powerful recalls persisting for decades. Short-term, intense, and finely detailed senses and emotions defined experiences, created memories, and determined satisfaction, wellbeing, and subsequent outcomes. More accurate methods are needed to measure and characterise senses, emotions, and memories in tourism experience.

Mechanistic modeling for the masses

The generalizability crisis is compounded, or even partially caused, by a lack of specificity in psychological theories. Expanding the use of mechanistic models among psychologists is therefore important, but faces numerous hurdles. A cultural evolutionary approach can help guide and evaluate interventions to improve modeling efforts in psychology, such as developing standards and implementing them at the institutional level.

The Function of Literature in Psychological Science

The recent reform debates in psychological science, prompted by a widespread crisis of confidence, have exposed and destabilized the so-called myth of self-correction, that is, the problem that most scientists perceive their disciplines as self-correcting without engaging in actual practices that correct the scientific record. In this paper, building on the idea of self-correction as a myth, I propose another myth common to psychological science: the myth of self-organization. The myth of self-organization is the idea that scientific literature will organize itself into something the community adding to it would recognize as systematic knowledge; while the actual members of those communities do not engage in effective ways of organizing it. I argue for the existence of the myth self-organization by taking a historical look at how the scientific literature was construed by psychologists during the 20th century. In my view, the literature, and behaviors of scientists related to it, becomes a social institution exerting influence over the science it belongs to. I conclude with a critical discussion of self-organization through the debates about preregistration and theory formalization in psychology’s reform movement.

Building better theories

In this My word, Press et al. tackle the 'theory crisis' in cognitive science. Using examples of good and not-so-good theoretical practice, they distinguish theories from effects, predictions, hypotheses, typologies, and frameworks in a self-help checklist of seven questions to guide theory construction, evaluation, and testing.