Quantitative Standards for Absolute Linguistic Universals

Absolute linguistic universals are often justified by cross‐linguistic analysis: If all observed languages exhibit a property, the property is taken to be a likely universal, perhaps specified in the cognitive or linguistic systems of language learners and users. In many cases, these patterns are then taken to motivate linguistic theory. Here, we show that cross‐linguistic analysis will very rarely be able to statistically justify absolute, inviolable patterns in language. We formalize two statistical methods—frequentist and Bayesian—and show that in both it is possible to find strict linguistic universals, but that the numbers of independent languages necessary to do so is generally unachievable. This suggests that methods other than typological statistics are necessary to establish absolute properties of human language, and thus that many of the purported universals in linguistics have not received sufficient empirical justification.     

Metaphorical sense-making: visual-narrative language portraits of South African students

This article reflects on a creative visual-narrative approach to understanding South African students’ lived experiences of languages. Data were collected in two interviews: the first entailing a biographical history and the drawing of a linguistic portrait on a simple body outline and the second a narrative interview utilising the portrait generated in the first as a basis for talking about language and identity. Framing the research process in this creative visual mode shifts the focus of narrative talk, simultaneously grounding it in affective, embodied experience, and enabling a reflexive position from which to analyse the taken-for-granted role of language in the minutiae of everyday life. The theoretical lenses of identity and subjectivity are invigorated through these metaphorical representations, and new creative possibilities are released for analysing the role of language in mediating shifting power dynamics in post-apartheid and postcolonial South African life.     

Emotional reactivity to daily events in youth with anxiety disorders

Background: Although research supports associations between anxiety and emotional reactivity in adults (Cisler, J. M., Olatunji, B. O., Feldner, M. T., &; Forsyth, J. P. (2010). Emotion regulation and the anxiety disorders: an integrative review. Journal of Psychopathology and Behavioral Assessment, 32(1), 68–82.), few studies have examined emotional reactivity in anxious youth (e.g., Carthy et al., 2010; Tan, P. Z., Forbes, E. E., Dahl, R. E., Ryan, N. D., Siegle, G. J., Ladouceur, C. D., &; Silk, J. S. (2012). Emotional reactivity and regulation in anxious and nonanxious youth: a cell-phone ecological momentary assessment study. Journal of Child Psychology and Psychiatry, 53(2), 197–206.). Methods: Using daily diary methodology, this study examined both negative affect (NA) and positive affect (PA) reactivity to daily events in youth diagnosed with anxiety (N?=?68; 60% female; 78% non-Hispanic White; M age?=?11.18 years, SD?=?3.17). We also examined whether parent-reported emotion regulation would predict emotional reactivity. Results: Participants reported more NA on days they experienced more negative parent and teacher events and less PA on days that they experienced more negative peer events. Additionally, better emotion regulation was associated with less NA reactivity to negative teacher events and to both negative and positive academic events. Conclusions: Interpersonal events have a salient effect on daily affect for anxious youth. Youth anxiety therapists should target emotion regulation associated with negative events involving adults and address barriers to developing and maintaining positive peer relationships.     

Discounting model selection with area‐based measures: A case for numerical integration

A novel method for analyzing delay discounting data is proposed. This newer metric, a model‐based Area Under Curve (AUC) combining approximate Bayesian model selection and numerical integration, was compared to the point‐based AUC methods developed by Myerson, Green, and Warusawitharana (2001) and extended by Borges, Kuang, Milhorn, and Yi (2016). Using data from computer simulation and a published study, comparisons of these methods indicated that a model‐based form of AUC offered a more consistent and statistically robust measurement of area than provided by using point‐based methods alone. Beyond providing a form of AUC directly from a discounting model, numerical integration methods permitted a general calculation in cases when the Effective Delay 50 (ED50) measure could not be calculated. This allowed discounting model selection to proceed in conditions where data are traditionally more challenging to model and measure, a situation where point‐based AUC methods are often enlisted. Results from simulation and existing data indicated that numerical integration methods extended both the area‐based interpretation of delay discounting as well as the discounting model selection approach. Limitations of point‐based AUC as a first‐line analysis of discounting and additional extensions of discounting model selection were also discussed.     

An external review of the conclusions regarding the peak direct training module

Promoting the Emergence of Advanced Knowledge—Direct Training Module (PEAK‐DTM) is a commercially available assessment and curriculum for individuals whose language skills are not developmentally adequate. In their review of PEAK‐DTM, Reed and Luiselli (2016) analyzed the extant literature on PEAK‐DTM and concluded that it has a sound and growing body of empirical support on its efficacy, usability, and psychometric properties. Similar conclusions are mirrored in the PEAK‐DTM literature and promotional material. I review these conclusions and contend that many overrate the research that backs them. Suggestions for a more rigorous research agenda on PEAK‐DTM and its related modules are provided.     

Panning for the gold in health research: Incorporating studies’ methodological quality in meta-analysis

Background: Systematic reviews now routinely assess methodological quality to gauge the validity of the included studies and of the synthesis as a whole. Although trends from higher quality studies should be clearer, it is uncertain how often meta-analyses incorporate methodological quality in models of study results either as predictors, or, more interestingly, in interactions with theoretical moderators.

Objective and methods: We survey 200 meta-analyses in three health promotion domains to examine when and how meta-analyses incorporate methodological quality.

Results: Although methodological quality assessments commonly appear in contemporary meta-analyses (usually as scales), they are rarely incorporated in analyses, and still more rarely analysed in interaction with theoretical determinants of the success of health promotions. The few meta-analyses (2.5%) that did include such an interaction analysis showed that moderator results remained significant in higher quality studies or were present only among higher quality studies. We describe how to model quality interactively with theoretically derived moderators and discuss strengths and weaknesses of this approach and in relation to current meta-analytic practice.

Conclusions: In large literatures exhibiting heterogeneous effects, meta-analyses can incorporate methodological quality and generate conclusions that enable greater confidence not only about the substantive phenomenon but also about the role that methodological quality itself plays.     

Developing mixed methods research in sport and exercise psychology: Critical reflections on five points of controversy

ObjectivesTo stimulate debate in sport and exercise psychology about the nature of mixed methods research as currently practiced and how this approach might develop in the future.DesignAn exploration of five points of controversy relating to mixed methods research.MethodA presentation of critical reflections on the following. (1) Mixing methods as a non-debate, (2) Purists, pragmatists and mixing paradigms, (3) Integrating findings and representational forms, (4) Judgment criteria and mixed methods research, and (5) Power, politics and what counts in mixed methods research.ResultsThe examples provided of mixed methods research in action indicate that a number of problematic issues regarding both process and product have been neglected.ConclusionsMixed methods research offers a number of conceptual, practical and pedagogical challenges that need to be addressed if this form of inquiry is to develop its full potential in sport and exercise psychology.