| Title |
Differential identification of females and males with reading difficulties: A meta-analysis
|
|---|---|
| Published in |
Reading and Writing, February 2018
|
| DOI | 10.1007/s11145-018-9827-8 |
| Pubmed ID | |
| Authors |
Jamie M. Quinn |
| Abstract |
Males are more likely than females to be identified as having reading difficulties, but it is unclear if this is a result of sample ascertainment or identification bias. The purpose of this meta-analysis was to determine the magnitude of gender differences in reading difficulties using available studies in which researchers investigated this difference and an additional dataset with a representative U.S. After conducting a literature search, sixteen studies and a restricted use dataset were included in the present analysis (N = 552,729). A random-effects odds ratio (OR) model indicated that males are 1.83 times more likely than females to have reading difficulties. Moderator analyses revealed that the gender ratio is greater when the identified reading difficulties were more severe. Further, this difference in identification rates across males and females was found without evidence of publication bias. Implications for the identification of students with reading difficulties are discussed. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 40% |
| United Kingdom | 1 | 10% |
| Canada | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Scientists | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 18% |
| Lecturer | 5 | 10% |
| Student > Doctoral Student | 5 | 10% |
| Student > Master | 4 | 8% |
| Researcher | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 16 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 10 | 20% |
| Psychology | 8 | 16% |
| Computer Science | 2 | 4% |
| Business, Management and Accounting | 2 | 4% |
| Nursing and Health Professions | 1 | 2% |
| Other | 5 | 10% |
| Unknown | 22 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 January 2021.
All research outputs
#5,446,516
of 25,519,924 outputs
Outputs from Reading and Writing
#160
of 839 outputs
Outputs of similar age
#111,171
of 449,035 outputs
Outputs of similar age from Reading and Writing
#6
of 20 outputs
Altmetric has tracked 25,519,924 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 839 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done well, scoring higher than 81% of its peers.
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We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.