scholarly journals Statistics education in undergraduate psychology: A survey of UK course content

2020 ◽  
Author(s):  
. TARG Meta-Research Group
Keyword(s):  
Statistical Power ◽  
Statistics Education ◽  
Meta Analysis ◽  
Practical Significance ◽  
Reproducible Research ◽  
Frequentist Statistics ◽  
Course Syllabi ◽  
Psychology Courses ◽  
Undergraduate Psychology ◽  
The Uk

Widely-used statistical practices may undermine the quality of scientific research. Several proposals have been made for how to improve these practices—with effective statistical education of developing researchers being one. With this in mind, we sought to document the statistical content currently taught in undergraduate psychology courses in the UK. We found that 21% of universities had publicly available course syllabi describing the statistical content taught in their psychology course. Of the course syllabi we obtained, most of them mentioned specific tests (ANOVAs, regression, correlation, t-tests, frequency tests, and rank tests) and about half mentioned probability and randomness, effect size, and statistical power, but few mentioned concepts such as confidence intervals, multiple comparisons, meta-analysis, replication, Bayesian statistics, frequentist statistics, and practical significance. These findings suggest that undergraduate psychology courses may not emphasize key statistical concepts relevant to producing robust and reproducible research.

scholarly journals A versatile toolkit for molecular QTL mapping and meta-analysis at scale

2020 ◽  
Author(s):  
Corbin Quick ◽  
Li Guan ◽  
Zilin Li ◽  
Xihao Li ◽  
Rounak Dey ◽  
...  
Keyword(s):  
Statistical Power ◽  
Meta Analysis ◽  
Joint Analysis ◽  
Genetic Associations ◽  
Functional Variation ◽  
Individual Level ◽  
Biological Variables ◽  
Level Data ◽  
Data Files ◽  
The Uk

AbstractMolecular QTLs (xQTLs) are widely studied to identify functional variation and possible mechanisms underlying genetic associations with diseases. Larger xQTL sample sizes are critical to help identify causal variants, improve predictive models, and increase power to detect rare associations. This will require scalable and accurate methods for analysis of tens of thousands of molecular traits in large cohorts, and/or from summary statistics in meta-analysis, both of which are currently lacking. We developed APEX (All-in-one Package for Efficient Xqtl analysis), an efficient toolkit for xQTL mapping and meta-analysis that provides (a) highly optimized linear mixed models to account for relatedness and shared variation across molecular traits; (b) rapid factor analysis to infer latent technical and biological variables from molecular trait data; (c) fast and accurate trait-level omnibus tests that incorporate prior functional weights to increase statistical power; and (d) compact summary data files for flexible and accurate joint analysis of multiple variants (e.g., joint/conditional regression or Bayesian finemapping) without individual-level data in meta-analysis. We applied the methods to data from three LCL eQTL studies and the UK Biobank. APEX is open source: https://corbinq.github.io/apex.

Power-Enhanced Funnel Plots for Meta-Analysis

2020 ◽  
Vol 228 (1) ◽  
pp. 43-49 ◽  
Author(s):  
Michael Kossmeier ◽  
Ulrich S. Tran ◽  
Martin Voracek
Keyword(s):  
Statistical Power ◽  
Meta Analysis ◽  
Relevant Information ◽  
Selective Reporting ◽  
Graphical Display ◽  
Funnel Plot ◽  
Evidential Value ◽  
Graphical Displays ◽  
Funnel Plots ◽  
Meta Analyses

Abstract. Currently, dedicated graphical displays to depict study-level statistical power in the context of meta-analysis are unavailable. Here, we introduce the sunset (power-enhanced) funnel plot to visualize this relevant information for assessing the credibility, or evidential value, of a set of studies. The sunset funnel plot highlights the statistical power of primary studies to detect an underlying true effect of interest in the well-known funnel display with color-coded power regions and a second power axis. This graphical display allows meta-analysts to incorporate power considerations into classic funnel plot assessments of small-study effects. Nominally significant, but low-powered, studies might be seen as less credible and as more likely being affected by selective reporting. We exemplify the application of the sunset funnel plot with two published meta-analyses from medicine and psychology. Software to create this variation of the funnel plot is provided via a tailored R function. In conclusion, the sunset (power-enhanced) funnel plot is a novel and useful graphical display to critically examine and to present study-level power in the context of meta-analysis.

Replication of the Superstition and Performance Study by

2014 ◽  
Vol 45 (3) ◽  
pp. 239-245 ◽  
Author(s):  
Robert J. Calin-Jageman ◽  
Tracy L. Caldwell
Keyword(s):  
Task Difficulty ◽  
Statistical Power ◽  
Meta Analysis ◽  
A Priori ◽  
Significant Heterogeneity ◽  
Performance Study ◽  
Improve Performance ◽  
Research Designs ◽  
Series Of Experiments ◽  
And Performance

A recent series of experiments suggests that fostering superstitions can substantially improve performance on a variety of motor and cognitive tasks ( Damisch, Stoberock, & Mussweiler, 2010 ). We conducted two high-powered and precise replications of one of these experiments, examining if telling participants they had a lucky golf ball could improve their performance on a 10-shot golf task relative to controls. We found that the effect of superstition on performance is elusive: Participants told they had a lucky ball performed almost identically to controls. Our failure to replicate the target study was not due to lack of impact, lack of statistical power, differences in task difficulty, nor differences in participant belief in luck. A meta-analysis indicates significant heterogeneity in the effect of superstition on performance. This could be due to an unknown moderator, but no effect was observed among the studies with the strongest research designs (e.g., high power, a priori sampling plan).

Statistical Power in Meta-Analysis

2006 ◽  
Author(s):  
Guy Cafri ◽  
Michael T. Brannick ◽  
Jeffrey Kromrey
Keyword(s):  
Statistical Power ◽  
Meta Analysis

‘I’m an expert in me and I know what I can cope with’: Patient expertise in rheumatoid arthritis

2014 ◽  
Vol 10 (3) ◽  
pp. 249-261 ◽  
Author(s):  
Tessa Sanderson ◽  
Jo Angouri
Keyword(s):  
Rheumatoid Arthritis ◽  
Meta Analysis ◽  
Healthcare Systems ◽  
Specific Knowledge ◽  
Active Involvement ◽  
Domain Specific ◽  
Access To Health ◽  
Patient Expertise ◽  
Domain Specific Knowledge ◽  
The Uk

The active involvement of patients in decision-making and the focus on patient expertise in managing chronic illness constitutes a priority in many healthcare systems including the NHS in the UK. With easier access to health information, patients are almost expected to be (or present self) as an ‘expert patient’ (Ziebland 2004). This paper draws on the meta-analysis of interview data collected for identifying treatment outcomes important to patients with rheumatoid arthritis (RA). Taking a discourse approach to identity, the discussion focuses on the resources used in the negotiation and co-construction of expert identities, including domain-specific knowledge, access to institutional resources, and ability to self-manage. The analysis shows that expertise is both projected (institutionally sanctioned) and claimed by the patient (self-defined). We close the paper by highlighting the limitations of our pilot study and suggest avenues for further research.

scholarly journals Estimating the effective sample size in association studies of quantitative traits

2021 ◽  
Author(s):  
Andrey Ziyatdinov ◽  
Jihye Kim ◽  
Dmitry Prokopenko ◽  
Florian Privé ◽  
Fabien Laporte ◽  
...  
Keyword(s):  
Statistical Power ◽  
Quantitative Traits ◽  
Mixed Model ◽  
Association Studies ◽  
Effective Sample Size ◽  
Environment Interaction ◽  
Uk Biobank ◽  
Gene Environment Interaction ◽  
Gene Environment ◽  
The Uk

Abstract The effective sample size (ESS) is a metric used to summarize in a single term the amount of correlation in a sample. It is of particular interest when predicting the statistical power of genome-wide association studies (GWAS) based on linear mixed models. Here, we introduce an analytical form of the ESS for mixed-model GWAS of quantitative traits and relate it to empirical estimators recently proposed. Using our framework, we derived approximations of the ESS for analyses of related and unrelated samples and for both marginal genetic and gene-environment interaction tests. We conducted simulations to validate our approximations and to provide a quantitative perspective on the statistical power of various scenarios, including power loss due to family relatedness and power gains due to conditioning on the polygenic signal. Our analyses also demonstrate that the power of gene-environment interaction GWAS in related individuals strongly depends on the family structure and exposure distribution. Finally, we performed a series of mixed-model GWAS on data from the UK Biobank and confirmed the simulation results. We notably found that the expected power drop due to family relatedness in the UK Biobank is negligible.

Empathic Communication Skills Across Applied Undergraduate Psychology Courses: A Replication Study

2021 ◽  
pp. 009862832199543
Author(s):  
Catherine M. Reich ◽  
Lara J. LaCaille ◽  
Katherine E. Axford ◽  
Natalina R. Slaughter
Keyword(s):  
Communication Skills ◽  
Communication Competence ◽  
Learning Gains ◽  
Face To Face ◽  
Helping Skills ◽  
Empathic Communication ◽  
Health Related ◽  
Psychology Courses ◽  
Undergraduate Psychology ◽  
Over Time

Background: Although undergraduate psychology curriculum should cultivate performance-based skills to prepare students for helping professions, little work to date has addressed this standard. Objective: This research replicates the methods used in a previous study by examining pre-post changes in empathic communication skills and perceived communication competence across two applied psychology courses: Basic Helping Skills and Internship. This study extended this work by also exploring learning gains from different formats (i.e., face-to-face vs. online), internship types (mental health-related vs. not mental health-related), and the longevity of learning gains. Method: Psychology students ( N = 171) completed a measure of communication competence and provided written empathic responses on a vignette-based performance measure at the start and end of the semester. Results: Students perceived their communication skills as improving over time; however, only students in the Basic Helping Skills course showed improved empathic communication skills, especially when the instruction was in a face-to-face format. Students with previous skill training maintained their learning gains over time. Conclusion: Student empathic communication improves most with face-to-face instruction in Basic Helping Skills rather than an internship experience. Teaching Implications: For the development of empathic communication skills, prerequisite requirements for Internship and instructive scaffolding for the application of skills may be recommended.

scholarly journals Effects of intensive biomass harvesting on forest soils in the Nordic countries and the UK: A meta-analysis

2021 ◽  
Vol 482 ◽  
pp. 118877
Author(s):  
Nicholas Clarke ◽  
Lars Pødenphant Kiær ◽  
O. Janne Kjønaas ◽  
Teresa G. Bárcena ◽  
Lars Vesterdal ◽  
...  
Keyword(s):  
Forest Soils ◽  
Meta Analysis ◽  
Nordic Countries ◽  
Biomass Harvesting ◽  
The Uk
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