scholarly journals The Association of Cognitive Ability with Right–Wing Ideological Attitudes and Prejudice: A Meta–Analytic Review

2015 ◽  
Vol 29 (6) ◽  
pp. 599-621 ◽  
Author(s):  
Emma Onraet ◽  
Alain Van Hiel ◽  
Kristof Dhont ◽  
Gordon Hodson ◽  
Mark Schittekatte ◽  
...  

The cognitive functioning of individuals with stronger endorsement of right–wing and prejudiced attitudes has elicited much scholarly interest. Whereas many studies investigated cognitive styles, less attention has been directed towards cognitive ability. Studies investigating the latter topic generally reveal lower cognitive ability to be associated with stronger endorsement of right–wing ideological attitudes and greater prejudice. However, this relationship has remained widely unrecognized in literature. The present meta–analyses revealed an average effect size of r = −. 20 [95% confidence interval (95% CI) [−0.23, −0.17]; based on 67 studies, N = 84 017] for the relationship between cognitive ability and right–wing ideological attitudes and an average effect size of r = −.19 (95% CI [−0.23, −0.16]; based on 23 studies, N = 27 011) for the relationship between cognitive ability and prejudice. Effect sizes did not vary significantly across different cognitive abilities and sample characteristics. The effect strongly depended on the measure used for ideological attitudes and prejudice, with the strongest effect sizes for authoritarianism and ethnocentrism. We conclude that cognitive ability is an important factor in the genesis of ideological attitudes and prejudice and thus should become more central in theorizing and model building. Copyright © 2015 European Association of Personality Psychology

2018 ◽  
Author(s):  
Michele B. Nuijten ◽  
Marcel A. L. M. van Assen ◽  
Hilde Augusteijn ◽  
Elise Anne Victoire Crompvoets ◽  
Jelte M. Wicherts

In this meta-study, we analyzed 2,442 effect sizes from 131 meta-analyses in intelligence research, published from 1984 to 2014, to estimate the average effect size, median power, and evidence for bias. We found that the average effect size in intelligence research was a Pearson’s correlation of .26, and the median sample size was 60. Furthermore, across primary studies, we found a median power of 11.9% to detect a small effect, 54.5% to detect a medium effect, and 93.9% to detect a large effect. We documented differences in average effect size and median estimated power between different types of in intelligence studies (correlational studies, studies of group differences, experiments, toxicology, and behavior genetics). On average, across all meta-analyses (but not in every meta-analysis), we found evidence for small study effects, potentially indicating publication bias and overestimated effects. We found no differences in small study effects between different study types. We also found no convincing evidence for the decline effect, US effect, or citation bias across meta-analyses. We conclude that intelligence research does show signs of low power and publication bias, but that these problems seem less severe than in many other scientific fields.


2019 ◽  
Vol 103 (4) ◽  
pp. 273-280
Author(s):  
Thomas R. Guskey

School leaders today are making important decisions regarding education innovations based on published average effect sizes, even though few understand exactly how effect sizes are calculated or what they mean. This article explains how average effect sizes are determined in meta-analyses and the importance of including measures of variability with any average effect size. By considering the variation in effect sizes among studies of the same innovation, education leaders can make better decisions about innovations and greatly increase the likelihood of achieving optimal results from implementation.


2020 ◽  
Vol 8 (4) ◽  
pp. 36
Author(s):  
Michèle B. Nuijten ◽  
Marcel A. L. M. van Assen ◽  
Hilde E. M. Augusteijn ◽  
Elise A. V. Crompvoets ◽  
Jelte M. Wicherts

In this meta-study, we analyzed 2442 effect sizes from 131 meta-analyses in intelligence research, published from 1984 to 2014, to estimate the average effect size, median power, and evidence for bias. We found that the average effect size in intelligence research was a Pearson’s correlation of 0.26, and the median sample size was 60. Furthermore, across primary studies, we found a median power of 11.9% to detect a small effect, 54.5% to detect a medium effect, and 93.9% to detect a large effect. We documented differences in average effect size and median estimated power between different types of intelligence studies (correlational studies, studies of group differences, experiments, toxicology, and behavior genetics). On average, across all meta-analyses (but not in every meta-analysis), we found evidence for small-study effects, potentially indicating publication bias and overestimated effects. We found no differences in small-study effects between different study types. We also found no convincing evidence for the decline effect, US effect, or citation bias across meta-analyses. We concluded that intelligence research does show signs of low power and publication bias, but that these problems seem less severe than in many other scientific fields.


2019 ◽  
Author(s):  
Emma L Bradshaw ◽  
Cody R. DeHaan ◽  
Philip Parker ◽  
Randall Curren ◽  
Jasper Duineveld ◽  
...  

We integrate Rawls’ (1971/2009, 1993, 2001) concept of primary goods with self-determination theory (SDT; Ryan & Deci, 2017), to examine the link between people’s perceptions of primary goods (i.e., views of society as just and fair), basic psychological need satisfaction, and well-being. In Study 1 (N=762, countries = Australia, the United States, South Africa, India, and the Philippines) and Study 2 (N=1479, groups = ethnic minority, sexual minority, political group, religious group), we used partial least squares structural equation modelling (PLS-SEM) to assess associations between perceptions of primary goods and wellness, and the intermediary role of basic psychological needs. Perceptions of primary goods linked positively to well-being (average effect size = 0.48), and negatively to ill-being (average effect size = -0.46). These associations were strongly mediated by basic psychological needs (average percentage mediated: 53% Study 1 and 68% Study 2). Results signify the importance of primary goods’ perceptions to wellness.


2021 ◽  
pp. 1-33
Author(s):  
Chantal VAN DIJK ◽  
Elise VAN WONDEREN ◽  
Elly KOUTAMANIS ◽  
Gerrit Jan KOOTSTRA ◽  
Ton DIJKSTRA ◽  
...  

Abstract Although cross-linguistic influence at the level of morphosyntax is one of the most intensively studied topics in child bilingualism, the circumstances under which it occurs remain unclear. In this meta-analysis, we measured the effect size of cross-linguistic influence and systematically assessed its predictors in 750 simultaneous and early sequential bilingual children in 17 unique language combinations across 26 experimental studies. We found a significant small to moderate average effect size of cross-linguistic influence, indicating that cross-linguistic influence is part and parcel of bilingual development. Language dominance, operationalized as societal language, was a significant predictor of cross-linguistic influence, whereas surface overlap, language domain and age were not. Perhaps an even more important finding was that definitions and operationalisations of cross-linguistic influence and its predictors varied considerably between studies. This could explain the absence of a comprehensive theory in the field. To solve this issue, we argue for a more uniform method of studying cross-linguistic influence.


2019 ◽  
Vol 02 (02) ◽  
pp. 126-126
Author(s):  
de Groot Ferrando A.

Abstract Introduction Tendinopathy is a term used to describe a clinical presentation of pain and dysfunction, which, at times, is accompanied by pathologic structural changes in the tendon matrix. Jumper's knee has been studied for some time, however the etiology is still unknown. The deep fibers of the proximal region are the most affected area in tendinopathies affecting the patellar tendon. Ultrasound (US) scanning may have the greatest sensitivity for confirming clinically diagnosed patellar tendinopathy compared with other imaging techniques such as magnetic resonance. Some studies have found that a minimum of six months is required to observe significant structural changes, although other studies reveal that structural changes can be visible in a shorter period of time. Thus, sonography has been used to evaluate quantitative variables such as thickness, echogenicity, texture measures and the internal tendon matrix. Objective The purpose of this study was to evaluate the sonographic behavior of morpho-textural changes of the patellar tendon in professional male volleyball players over a one year season. Material and Methods This is an observational, longitudinal and analytical study. A sample of 66 patellar tendons from 33 volleyball players of the Spanish super league was recruited, with an average of: 28 years, 86kg and 192cm. An ultrasound scan was performed using the Sonosite Titan ultrasound system, L38, 5–10 MHz, with a cross section of 5mm from the lower pole of the patella. Two depths were analyzed: a.39mm: echogenicity, echogenicity variation, circularity, width and thickness. b.24mm: entropy and contrast. Statistical analysis and analysis of variance (ANOVA) was performed for repeated measures and, in addition, the effect size was calculated with Cohen's d. The confidence interval was 95%. SPSS Statistics software was used. Results For textural variables: contrast increased significantly with an average effect size, and entropy showed no significant difference. Circularity was significantly lower. Width was shown to be significantly greater, with an average effect size, while thickness was reduced significantly. Regarding echogenicity, no significant changes were detected and variation in echogenicity did not show significant changes. Conclusions Imaging analysis could be a potential tool to detect changes in the pattern of patellar tendons. Some morpho-textural changes were found in male volleyball players: the textural contrast variable increases significantly throughout the annual season, meaning that the tendon becomes slightly flatter and loses circularity in its transverse section. The entropy and echogenic parameters obtained from the gray-scale histogram did not reveal any significant changes.


PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e1801 ◽  
Author(s):  
Robin S.S. Kramer

Background.In recent years, researchers have investigated the relationship between facial width-to-height ratio (FWHR) and a variety of threat and dominance behaviours. The majority of methods involved measuring FWHR from 2D photographs of faces. However, individuals can vary dramatically in their appearance across images, which poses an obvious problem for reliable FWHR measurement.Methods.I compared the effect sizes due to the differences between images taken with unconstrained camera parameters (Studies 1 and 2) or varied facial expressions (Study 3) to the effect size due to identity, i.e., the differences between people. In Study 1, images of Hollywood actors were collected from film screenshots, providing the least amount of experimental control. In Study 2, controlled photographs, which only varied in focal length and distance to camera, were analysed. In Study 3, images of different facial expressions, taken in controlled conditions, were measured.Results.Analyses revealed that simply varying the focal length and distance between the camera and face had a relatively small effect on FWHR, and therefore may prove less of a problem if uncontrolled in study designs. In contrast, when all camera parameters (including the camera itself) are allowed to vary, the effect size due to identity was greater than the effect of image selection, but the ranking of the identities was significantly altered by the particular image used. Finally, I found significant changes to FWHR when people posed with four of seven emotional expressions in comparison with neutral, and the effect size due to expression was larger than differences due to identity.Discussion.The results of these three studies demonstrate that even when head pose is limited to forward facing, changes to the camera parameters and a person’s facial expression have sizable effects on FWHR measurement. Therefore, analysing images that fail to constrain some of these variables can lead to noisy and unreliable results, but also relationships caused by previously unconsidered confounds.


2020 ◽  
Vol 31 (1) ◽  
pp. 183-221
Author(s):  
Alain Van Hiel ◽  
Emma Onraet ◽  
Dries H. Bostyn ◽  
Jonas Stadeus ◽  
Tessa Haesevoets ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Lucas Santana da Silva ◽  
Reginaldo Kisho Fukuchi ◽  
Renato Naville Watanabe ◽  
Claudiane Arakaki Fukuchi ◽  
Marcos Duarte

Abstract Structural and functional changes in the foot have been associated with age-related changes in gait mechanics, but walking speed may be a confounding factor in this relationship. The aim of this study was to investigate the effect of aging and speed on the ankle–foot power output during level walking. The effects of speed and aging on features of the mechanical power and work of the ankle and foot were quantified with a gait analysis of 24 young and 16 older individuals walking at different speeds. We observed gait speed having a significant effect on all the investigated features: peak power and positive and negative work of the ankle, foot, and sum of the ankle and foot (average effect size: 0.64 ± 0.22, from 0.26 to 0.87). We observed age having no effect on these same features (average effect size: 0.23 ± 0.12, from 0.03 to 0.39), with the exception of age’s effect when combined with speed on the negative work of the foot. We performed additional analysis to illustrate how the speed can become a confounding factor to the understanding of the age effect on the gait biomechanics. Based on the influence of gait speed on the mechanical power of the ankle–foot system, it is essential that studies control for the effect of gait speed if there is interest in understanding age-related effects, particularly when studying frail older individuals.


Author(s):  
M. Ifdal Hafiz Chan ◽  
Edja Annisa Septia ◽  
Kurnia Febrianti ◽  
Desnita Desnita

ABSTRAKTujuan dari penelitian ini adalah untuk melihat efektivitas dari beberapa model pembelajaran dalam meningkatkan pemahaman konsep fisika siswa SMA. Penelitian ini merupakan penelitian meta-analisis yang menggambarkan effect size dari penelitian-penelitian pendidikan mengenai pengaruh model-model pembelajaran terhadap pemahaman konsep fisika siswa SMA. Model pembelajaran yang di bandingkan dalam penelitian meta-analisis ini adalah model pembelajaran Discovery Learning, Inkuiri, Kooperatif, Direct Instruction, dan Problem Based Learning. Model pembelajaran yang memiliki efektivitas tertinggi adalah model pembelajaran Langsung (Direct Instruction) dengan nilai rata-rata effect size 1.43 yang termasuk dalam kategori tinggi. Model pembelajaran lain yang juga memiliki nilai rata-rata effect size yang termasuk dalam kategori tinggi adalah model pembelajaran Inkuiri dengan nilai rata-rata effect size 1.39, model pembelajaran Kooperatif dengan nilai rata-rata effect size 1.11, model pembelajaran Discovery Learning dengan nilai rata-rata effect size 0.96, serta model pembelajaran Problem Based Learning dengan nilai rata-rata effect size 0.92. Kata kunci: Meta-Analisis; Discovery Learning; Inkuiri; Kooperatif; Direct Instruction; Problem Based Learning; Pemahaman Konsep; Fisika ABSTRACT The purpose of this study was to see the effectiveness of several learning models in improving the understanding of physics concepts for high school students. This research is a meta-analysis that describes the effect size of educational studies regarding the influence of learning models on the understanding of physics concepts for high school students. The learning models compared in this meta-analysis are the Discovery Learning, Inquiry, Cooperative, Direct Instruction, and Problem Based Learning learning models. The learning model that has the highest effectiveness is the Direct Instruction model with an average effect size value of 1.43 which is included in the high category. Other learning models that also have an average effect size value that is included in the high category are the Inquiry learning model with an average effect size value of 1.39, the Cooperative learning model with an average effect size value of 1.11, and the Discovery Learning learning model with an average value. the average effect size is 0.96, as well as the Problem Based Learning model with an average effect size value of 0.92. Keywords: Meta-Analysis; Discovery Learning; Inquiry; Cooperative; Direct Instruction; Problem Based Learning; Concept Understanding; Physics.


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