Related Experiment Video
Updated: Feb 2, 2026
15:00
Assessing Dyslexia at Six Year of Age
Published on: May 1, 2020
8.8K
Statistical methods and reporting practices in the study of dyslexia.
Adam Rollins1, Eric L Oslund1, Kelli Wallace1
1Literacy Studies Program, College of Education, Middle Tennessee State University, Murfreesboro, Tennessee.
Dyslexia (Chichester, England)
|November 9, 2018
Summary
Statistical reporting in dyslexia research has improved, with more effect sizes and advanced methods used post-2008. This indicates increased methodological rigor in dyslexia journals over a decade.
Area of Science:
- * Educational Psychology
- * Research Methodology
- * Learning Disabilities
Background:
- * A 10-year review (2005-2014) of statistical practices in leading dyslexia journals.
- * Examined trends in statistical methodology and reporting quality.
- * Assessed the impact of the 2008 What Works Clearinghouse (WWC) handbook.
Purpose of the Study:
- * To evaluate statistical methodology and reporting in dyslexia research.
- * To identify trends in statistical practices over a decade.
- * To assess the influence of the WWC handbook on research standards.
Main Methods:
- * Systematic review of 300 articles from 'Dyslexia' and 'Annals of Dyslexia'.
- * Articles coded for covariates, effect sizes, and statistical methods.
- * Analysis of trends pre- and post-2008 WWC handbook publication.
Main Results:
- * Significant increase in effect size reporting post-WWC handbook (55% to 72%).
- * Increased use of Analysis of Variance (ANOVA) and decreased use of basic descriptives.
- * Consistent inclusion of covariates (approx. one-third of articles).
Conclusions:
- * Dyslexia research shows enhanced methodological rigor and reporting standards.
- * The WWC handbook appears to have positively influenced statistical practices.
- * Continued improvement in statistical reporting is evident in the field.
More Related Videos
Related Concept Videos
01:15Study Design in Statistics
10.0K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
10.0K
01:50Statistical Significance
21.8K
Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
21.8K
01:25Statistical Methods for Analyzing Epidemiological Data
971
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
971
01:12Statistical Methods to Analyze Parametric Data: ANOVA
1.6K
Analysis of Variance, or ANOVA, is a powerful statistical technique used to analyze parametric data, primarily in research and experimental studies. It's designed to compare the means of two or more groups, assisting researchers in identifying any significant differences between these group means. There are two main types of ANOVA based on the complexity of the analysis: one-way and two-way.
One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares...
One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares...
1.6K
01:14Probability in Statistics
23.4K
Probability is the likelihood of an event occurring. The term event is defined as a collection of results of a procedure. An event is a simple event when an outcome cannot be divided into simpler parts.
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
23.4K
01:17Introduction to Statistics
63.9K
The science of statistics involves collecting, analyzing, interpreting, and presenting data. The method of collecting, organizing, and summarizing data is called descriptive statistics. The systematic method of drawing inferences from the sample data and predicting unknown characteristics of a population is called inferential statistics.
In statistics, the collection of individuals or objects under study is called population. The idea of sampling is to select a portion of the larger population...
In statistics, the collection of individuals or objects under study is called population. The idea of sampling is to select a portion of the larger population...
63.9K