The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
| Title |
A statistical approach to quantitative data validation focused on the assessment of students’ perceptions about biotechnology
|
|---|---|
| Published in |
SpringerPlus, October 2013
|
| DOI | 10.1186/2193-1801-2-496 |
| Pubmed ID | |
| Authors |
Maria João Fonseca, Patrício Costa, Leonor Lencastre, Fernando Tavares |
| Abstract |
Student awareness levels are frequently used to evaluate the effectiveness of educational policies to promote scientific literacy. Over the last years several studies have been developed to assess students' perceptions towards science and technology, which usually rely on quantitative methods to achieve broad characterizations, and obtain quantifiable and comparable data. Although the usefulness of this information depends on its validity and reliability, validation is frequently neglected by researchers with limited background in statistics. In this context, we propose a guideline to implement a statistical approach to questionnaire validation, combining exploratory factor analysis and reliability analysis. The work focuses on the psychometric analysis of data provided by a questionnaire assessing 1196 elementary and high school students' perceptions about biotechnology. Procedural guidelines to enhance the efficiency of quantitative inquiry surveys are given, by discussing essential methodological aspects and relevant criteria to integrate theory into practice. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 11 | 18% |
| Student > Master | 10 | 17% |
| Researcher | 7 | 12% |
| Student > Ph. D. Student | 6 | 10% |
| Student > Bachelor | 4 | 7% |
| Other | 11 | 18% |
| Unknown | 11 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 12 | 20% |
| Agricultural and Biological Sciences | 7 | 12% |
| Engineering | 7 | 12% |
| Nursing and Health Professions | 4 | 7% |
| Environmental Science | 3 | 5% |
| Other | 14 | 23% |
| Unknown | 13 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 01 October 2013.
All research outputs
#5,850,959
of 22,723,682 outputs
Outputs from SpringerPlus
#341
of 1,852 outputs
Outputs of similar age
#51,585
of 207,102 outputs
Outputs of similar age from SpringerPlus
#18
of 107 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,852 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 81% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 207,102 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.