A Study of the Logic of Empirical Arguments in Psychological Research: “The Automaticity of Social Behavior” as a Case Study

2006 ◽  
Vol 10 (3) ◽  
pp. 210-228 ◽  
Author(s):  
Michael W. Katzko
2020 ◽  
Vol 4 (1) ◽  
pp. 5-14
Author(s):  
Brian A. Eiler ◽  
◽  
Patrick C. Doyle ◽  
Rosemary L. Al-Kire ◽  
Heidi A. Wayment ◽  
...  

This article provides a case study of a student-focused research experience that introduced basic data science skills and their utility for psychological research, providing practical learning experiences for students interested in learning computational social science skills. Skills included programming; acquiring, visualizing, and managing data; performing specialized analyses; and building knowledge about open-science practices.


2021 ◽  
Vol 8 ◽  
Author(s):  
Joni Pini-Fitzsimmons ◽  
Nathan A. Knott ◽  
Culum Brown

The advent of new technologies and statistical analyses has provided valuable insights into chondrichthyan social behavior. It has become apparent that sharks and rays lead more complex social lives than previously believed. Heterarchy combines hierarchy and social network theory and although it is not a new concept, it is rarely applied to animal social interactions. Here, we applied heterarchy to a case study involving smooth stingrays foraging for fish scraps at boat ramp in Jervis Bay, NSW Australia. We took advantage of their attraction to this site to examine their social behavior during agonistic interactions over the provisioned resource. We observed a stable, relatively linear but shallow dominance hierarchy that was highly transitive dominated by a single individual. Social network analysis revealed a non-random social network centered on the dominant individual. Contrary to previous research, size did not predict dominance, but it was correlated with network centrality. The factors determining dominance of lower ranks were difficult to discern, which is characteristic of despotic societies. This study provides the first heterarchical assessment of stingray sociality, and suggests this species is capable of complex social behavior. Given higher dominance and centrality relate to greater access to the provisioned resource, the observed social structure likely has fitness implications.


Author(s):  
Juha Leino

As recommender systems are making inroads to e-learning, the new ecosystem is placing new challenges on them. This Chapter discusses the author’s experiences of adding recommender features to additional reading materials listing page in an undergraduate-level course. Discussion is based on use-log and student questionnaire data. Students could both add materials to lecture readings and peer-evaluate the pertinence of the materials by rating and commenting them. Students were required to add one material and rate five as part of the course requirements. Overall, students perceived the system as useful and did not resent compulsoriness. In addition, perceived social presence promoted social behavior in many students. However, many students rated materials without viewing them, thus undermining the reliability of aggregated ratings. Consequently, while recommenders can enhance the e-learner experience, they need to be robust against some students trying to get points without earning them.


2021 ◽  
pp. 29-35
Author(s):  
Noel Chandler ◽  
Marilyn Teplitz
Keyword(s):  

2017 ◽  
Author(s):  
James Heathers ◽  
Matthew Goodwin

Psychological theories often build from theoretically separate fields in the biosciences – physiology, biology, neuroscience, etc. – to situate human behavior within the body. However, these are increasingly sophisticated areas of research which rapidly change and adapt their evidence base. The current paper is a case study examining what happens to psychological research when its foundational biological context is invalidated or superseded. The example we use is heart rate variability (HRV) as a purported measure of cardiac sympathetic outflow. While objections to this technique within physiological research have been established and confirmed for decades, its false status continues to be maintained in applied psychological research. We review a combination of factors within scientific and publishing practice, practical and conceptual barriers to experimental interface, and personal/professional value of the invalidated theory in attempt to understand how dead science can be kept alive in psychological science.


2019 ◽  
Vol 3 (1) ◽  
pp. 81-93 ◽  
Author(s):  
Blakeley B. McShane ◽  
Ulf Böckenholt

Meta-analysis typically involves the analysis of summary data (e.g., means, standard deviations, and sample sizes) from a set of studies via a statistical model that is a special case of a hierarchical (or multilevel) model. Unfortunately, the common summary-data approach to meta-analysis used in psychological research is often employed in settings where the complexity of the data warrants alternative approaches. In this article, we propose a thought experiment that can lead meta-analysts to move away from the common summary-data approach to meta-analysis and toward richer and more appropriate summary-data approaches when the complexity of the data warrants it. Specifically, we propose that it can be extremely fruitful for meta-analysts to act as if they possess the individual-level data from the studies and consider what model specifications they might fit even when they possess only summary data. This thought experiment is justified because (a) the analysis of the individual-level data from the studies via a hierarchical model is considered the “gold standard” for meta-analysis and (b) for a wide variety of cases common in meta-analysis, the summary-data and individual-level-data approaches are, by a principle known as statistical sufficiency, equivalent when the underlying models are appropriately specified. We illustrate the value of our thought experiment via a case study that evolves across five parts that cover a wide variety of data settings common in meta-analysis.


Sign in / Sign up

Export Citation Format

Share Document