A Guide to Conducting a Meta-Analysis

Meta-analysis is widely accepted as the preferred method to synthesize research findings in various disciplines. This paper provides an introduction to when and how to conduct a meta-analysis. Several practical questions, such as advantages of meta-analysis over conventional narrative review and the number of studies required for a meta-analysis, are addressed. Common meta-analytic models are then introduced. An artificial dataset is used to illustrate how a meta-analysis is conducted in several software packages. The paper concludes with some common pitfalls of meta-analysis and their solutions. The primary goal of this paper is to provide a summary background to readers who would like to conduct their first meta-analytic study.     

The Heterogeneity of Truancy among Urban Middle School Students: A Latent Class Growth Analysis

This longitudinal study explores heterogeneity of middle school students by identifying subgroups of youth characterized by distinct truancy trajectories and by determining disability profiles that distinguish these subgroups. Participants comprised an entire 7th through 9th grade student population, with approximately 58,000 students, in a large urban school district. Latent class growth analysis was used to identify subgroups of truant youth. This analysis yielded five distinct truant subgroups: Very-Low (37 %), Low (43.4 %), Declining (3.3 %), Rising (12.8 %), and Chronic (3.6 %). Further, differential disability profiles were found in each subgroup with the control of demographic characteristics (i.e., gender, race/ethnicity, free/reduced lunch, Limited English Proficiency, grade, and prior school absences), students with serious emotional disturbance and learning disabilities demonstrated amplified risks of being classified in the Chronic or Rising subgroups, which show chronic or incremental upward truant trajectories over time. These findings are discussed in terms of their implications for future research.     

Probabilities,causation, and logic programming in conditional reasoning: reply to Stenning and Van Lambalgen (2016)

Oaksford and Chater (2014 Oaksford, M., &; Chater, N. (2014). Probabilistic single function dual process theory and logic programming as approaches to non-monotonicity in human vs. artificial reasoning. Thinking and Reasoning, 20, 269–295. doi:10.1080/13546783.2013.877401[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar], Thinking and Reasoning, 20, 269–295) critiqued the logic programming (LP) approach to nonmonotonicity and proposed that a Bayesian probabilistic approach to conditional reasoning provided a more empirically adequate theory. The current paper is a reply to Stenning and van Lambalgen's rejoinder to this earlier paper entitled ‘Logic programming, probability, and two-system accounts of reasoning: a rejoinder to Oaksford and Chater’ (2016) in Thinking and Reasoning. It is argued that causation is basic in human cognition and that explaining how abnormality lists are created in LP requires causal models. Each specific rejoinder to the original critique is then addressed. While many areas of agreement are identified, with respect to the key differences, it is concluded the current evidence favours the Bayesian approach, at least for the moment.     

Gesture Supports Spatial Thinking in STEM

The present article describes two studies that examine the impact of teaching students to use gesture to support spatial thinking in the Science, Technology, Engineering, and Mathematics (STEM) discipline of chemistry. In Study 1 we compared the effectiveness of instruction that involved either watching gesture, reproducing gesture, or reading text. The results indicate that students in the reproducing gesture condition produced significantly more gestures while problem solving than students in the other two groups and significantly outperformed the other groups on study measures. In Study 2 we compared the effectiveness of gesture to an instructional approach that involved manually handling concrete models without gesture. Students performed equally well in both conditions; however, students taught with concrete models performed significantly worse if concrete models were not available during assessment. These studies show that gesture is an effective strategy for supporting spatial thinking in STEM disciplines and that this benefit may result from physically simulating spatial transformations.     

Passport Checks: Interactions Between Matching Faces and Biographical Details

Matching unfamiliar faces is known to be a difficult task. However, most research has tested viewers' ability to match pairs of faces presented in isolation. In real settings, professionals are commonly required to examine photo ID that contains other biographical information too. In three experiments, we present faces embedded in passport frames and ask viewers to make face matching decisions and to check biographical information. We find that the inclusion of a passport frame reduces viewers' ability to detect a face mismatch. Furthermore, the nature of the face match influences biographical data checking—true matches lead to fewer detections of invalid data. In general, viewers were poor at spotting errors in biographical information. This pattern suggests that detection of fraudulent photo ID is even harder than current experimental studies suggest. Possible mechanisms for these effects are discussed. Copyright © 2016 John Wiley & Sons, Ltd.     

Aging,source memory,and the experience of “remembering”

In a previous study, we found source memory for perceptual features to differentiate between younger but not older adults’ reports of recollective (“remember”; R) and “know” (K) experiences. In two experiments with younger (17–30 years) and older (64–81 years) participants, we examined whether memory for meaningful speaker sources would accompany older adults’ recollective experience. Indeed, memory for male and female speakers (but not partial memory for gender; Experiment 1) as well as bound memory for speakers and their facial expressions (Experiment 2) distinguished between both younger and older adults’ RK reports. Thus, memory for some sources forms a common basis for younger and older adults’ retrieval experience. Nonetheless, older adults still showed lower objective source memory and lower subjective source-attribution confidence than younger adults when reporting recollective experiences, suggesting that source memory is less relevant to their retrieval experience than for younger adults.     

Mortality salience increases language style matching and well-being

The present research examined whether people imitate the language style of others (i.e., the use of function words) as a form of liking when mortality concerns are salient. In Study 1, participants answered questions about death or public speaking and then engaged in an instant messaging conversation with a confederate. In Study 2, participant pairs verbally discussed a news article about increasing homicide rates or the rise in academic pressure. Next, everyone completed measures of self-esteem, life satisfaction, and relationship need satisfaction. The results revealed that, in comparison to the control conditions, participants exhibited greater language style matching (LSM) following reminders of death (Studies 1 & 2). Further, mediational analyses showed that higher LSM after mortality salience was associated with better psychological and social well-being (Study 2). Although the threat of death has been shown to make people more hostile and disparaging toward dissimilar others, the present work suggests that individuals, even strangers, may feel closer through language coordination following thoughts of mortality.     

Sex,Education, Age,and Cautiousness: Implications for Counselors

A cross‐sectional study of educated men and women showed that cautiousness, as measured by perceived problem‐solving ability, does not increase with age. Sex differences were nonsignificant. The results are discussed in terms of R. Schultz and J. Heckhausen's (1996) Life Span Model of Successful Aging.     

From Pixels to People: A Model of Familiar Face Recognition

Research in face recognition has largely been divided between those projects concerned with front-end image processing and those projects concerned with memory for familiar people. These perceptual and cognitive programmes of research have proceeded in parallel, with only limited mutual influence. In this paper we present a model of human face recognition which combines both a perceptual and a cognitive component. The perceptual front-end is based on principal components analysis of face images, and the cognitive back-end is based on a simple interactive activation and competition architecture. We demonstrate that this model has a much wider predictive range than either perceptual or cognitive models alone, and we show that this type of combination is necessary in order to analyse some important effects in human face recognition. In sum, the model takes varying images of “known” faces and delivers information about these people.