Comments on cyberbullying article: A rejoinder

In this article, I discuss many of the points raised in the thoughtful comments by Hinduja and Patchin (2012, this issue), Menesini (2012, this issue), and Smith (2012, this issue) on my original article “Cyberbullying: An overrated phenomenon” (Olweus, 2012, this issue). After having seriously considered the arguments of my commentators, I still think there is strong empirical evidence for my original position—supported by one or more but not all of my commentators—that cyberbullying is a basically low-frequent phenomenon and that there has not occurred a marked increase in the prevalence rates of cyberbullying over the past five or six years. With regard to the possible negative effects of cyberbullying, over and above the effects of traditional bullying, I note with appreciation that this issue has received some attention in the recent research literature but I also make a call for more systematic consideration of potential confounders in such studies. A good deal of the discussion in the comments and the current article concerned the issue of whether cyberbullying should be regarded as a form of bullying on a par with traditional forms of bullying or if it is distinct enough to be considered a partly separate phenomenon or dimension. I conclude by arguing that in order for research on cyberbullying to proceed in a systematic and fruitful way, it is necessary to place it in proper context (along with traditional bullying) and to communicate a somewhat more realistic picture of its prevalence and nature.     

Category length produces an inverted-U discriminability function in episodic recognition memory

Four experiments used signal detection analyses to assess recognition memory for lists of words consisting of differing numbers of exemplars from different semantic categories. The results showed that recognition memory performance, measured by d _a , (a) increased as category length (CL, the number of study-list items selected from the same semantic category) increased from 1 to 8 but then decreased as CL further increased from 8 to 14, (b) was greater when 2 studied items from the same category occurred back to back, rather than being separated by 5–11 items from other categories, and (c) was greater for the first studied 2 exemplars than for the last studied 2 exemplars from blocked categories with CLs of 8 or 14. For all CLs, all z-coordinate receiver operating characteristic (z-ROC) functions were linear with slopes significantly less than 1.0, and none had a significant quadratic component. These results pose a challenge for three major classes of recognition memory models: item-noise, context-noise, and dual-process models.     

Biases in long-term location memory in the real world

The category adjustment (CA) approach to distortions in location memory has been largely documented in simplified lab-created spaces but minimally in navigable real-world environments. In the current paper, we extend the approach to a navigable real-world environment and specifically evaluate the assumption that long-term location memory may be retrievable despite errors in recall. Memory for the location of a fountain in a heavily navigated square on a university campus was tested by reproduction on a photograph of the square and then by a forced-choice recognition test. While the recall data showed the standard bias, the recognition data revealed chance-level performance. The pattern of results suggests a possible difference between accessibility of working memories for locations within laboratory-created spaces and long-term memories for locations within complex navigable spaces. The results are discussed in terms of the CA model.     

A new look at the relationship between perceptual and motor responses

A visual stimulus may affect a motor response although its visibility is prevented by a mask. This implies that the sensorimotor system is more susceptible to stimulation than the perceptual system. We report data that are contrary to this intuition. Experiments where both the observer's perceptual state related to the presence/absence of a masked stimulus and the motor behaviour elicited by the same stimulus were jointly assessed on a trial-by-trial basis show that masked visual stimulation at constant visibility (d′) has two types of effect on the motor system. When the physical energy of the masked stimulus is weak, it affects the motor response only if it exceeds the observer's perceptual response criterion. It is only when the physical energy of the masked stimulus is relatively strong that its impact on the motor response is independent of the state of the perceptual system. This indicates that reflex, “nonconscious” behaviour has a high energy threshold.     

When learning to classify by relations is easier than by features

Relational reasoning is often considered more resource intensive than feature-based reasoning. This view implies that learning categories defined by relational regularities should be more difficult than learning categories defined by featural regularities. Unfortunately previous studies do not ground featural and relational information in a common perceptual substrate. After addressing this concern, a series of experiments compare learning performance for relation- and feature-based categories. Under certain circumstances we find faster learning for relation-based categories. The results suggest that mechanisms rooted in relational processes (e.g., relative stimulus judgement, analogical comparison) facilitate or hinder learning depending on whether the relational processes highlight or obscure the underlying category structure. Conversely, category learning affects relational processes by promoting relational comparisons that increase the coherence of acquired categories. In contrast to the largely independent research efforts in category learning and analogy research, our findings suggest that learning and comparison processes are deeply intertwined.     

Laypeople do use sample variance: The effect of embedding data in a variance-implying story

When using sample data to decide whether two populations differ, laypeople attend to the difference between group means, but largely overlook within-group variability (Obrecht, Chapman, & Gelman, 2007 Obrecht, N. A., Chapman, G. B. and Gelman, R. 2007. Intuitive t-tests: Lay use of statistical information. Psychonomic Bulletin & Review, 14: 1147–1152.  [Google Scholar]). We show, first, that laypeople know about and use story-implied variability when making pairwise comparisons. Then we demonstrate that participants’ sensitivity to variance in a dataset is boosted when presented in a context that implies consistent variance information. Statistical data were couched in stories about electrical conductivity measurements obtained from element samples (low-variability category) or body weight measurements from samples of peoples (high-variability category). We manipulated, between participants, whether the data variance matched or mismatched the story-implied variability. Participants who received data in a matching context showed high sensitivity to variance, while those in the mismatching condition did not. Laypeople use statistical data to make reasonable inferences when those data are provided in a context that makes sense.     

Individual differences in category learning: sometimes less working memory capacity is better than more

We examined whether individual differences in working memory influence the facility with which individuals learn new categories. Participants learned two different types of category structures: rule-based and information-integration. Successful learning of the former category structure is thought to be based on explicit hypothesis testing that relies heavily on working memory. Successful learning of the latter category structure is believed to be driven by procedural learning processes that operate largely outside of conscious control. Consistent with a widespread literature touting the positive benefits of working memory and attentional control, the higher one’s working memory, the fewer trials one took to learn rule-based categories. The opposite occurred for information-integration categories - the lower one’s working memory, the fewer trials one took to learn this category structure. Thus, the positive relation commonly seen between individual differences in working memory and performance can not only be absent, but reversed. As such, a comprehensive understanding of skill learning - and category learning in particular - requires considering the demands of the tasks being performed and the cognitive abilities of the performer.     

Activating Basic Category Exemplars in Sentence Contexts: A Dynamical Account

This paper examines the influence of context on the processing of category names embedded in sentences. The investigation focuses on the nature of information available immediately after such a word is heard as well as on the dynamics of adaptation to context. An on-line method (Cross Modal Lexical Priming) was used to trace how this process unfolds in time. We found that the information available immediately after a category word is presented is not altered by the sentence context in which the word is immersed. Rather, the structure of availability of particular exemplars of the category resembles the typicality structure of a conceptual representation. The adaptation to context occurs later (between 300 and 450 ms after the category word) and takes the form of a rapid reorganization of the structure rather than a gradual activation of a contextually relevant exemplar. We claim that such data is best accounted for in a dynamical framework, where a coherent global structure emerges through locally guided self-organization.     

A note on DeCaro, Thomas, and Beilock (2008): Further data demonstrate complexities in the assessment of information-integration category learning

DeCaro et al. [DeCaro, M. S., Thomas, R. D., & Beilock, S. L. (2008). Individual differences in category learning: Sometimes less working memory capacity is better than more. Cognition, 107(1), 284-294] explored how individual differences in working memory capacity differentially mediate the learning of distinct category structures. Specifically, their results showed that greater working memory capacity facilitates the learning of novel category structures that are verbalisable and discoverable through logical reasoning processes. Conversely, however, greater working memory was shown to impede the learning of novel category structures thought to be non-verbalisable, inaccessible to conscious reasoning and discoverable only through implicit (procedural) learning of appropriate stimulus-category responses. The present paper calls into question the specific nature of the category learning tasks used, in particular their ability to discriminate between different modes of category learning.     

Categories and Levels of Reality

The discussion of the relation of levels of reality to categories is important because categories have often been interpreted as constituting levels of reality. This article explores whether this view is correct, and argues it is not. Categories as such should not be understood to constitute levels of reality, although particular categories may. The article begins with a discussion of levels of reality and then turns to specific questions about categories and how they are related to these levels.