| Title |
A General Methodology for the Translation of Behavioral Terms into Vernacular Languages
|
|---|---|
| Published in |
Perspectives on Behavior Science, February 2015
|
| DOI | 10.1007/s40614-014-0025-y |
| Pubmed ID | |
| Authors |
Javier Virues-Ortega, Neil Martin, Gabriel Schnerch, Jesús Ángel Miguel García, Fae Mellichamp |
| Abstract |
As the field of behavior analysis expands internationally, the need for comprehensive and systematic glossaries of behavioral terms in the vernacular languages of professionals and clients becomes crucial. We created a Spanish-language glossary of behavior-analytic terms by developing and employing a systematic set of decision-making rules for the inclusion of terms. We then submitted the preliminary translation to a multi-national advisory committee to evaluate the transnational acceptability of the glossary. This method led to a translated corpus of over 1200 behavioral terms. The end products of this work included the following: (a) a Spanish-language glossary of behavior analytic terms that are publicly available over the Internet through the Behavior Analyst Certification Board and (b) a set of translation guidelines summarized here that may be useful for the development of glossaries of behavioral terms into other vernacular languages. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 1 | 17% |
| Spain | 1 | 17% |
| Canada | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 8% |
| Unknown | 12 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 3 | 23% |
| Researcher | 2 | 15% |
| Student > Ph. D. Student | 2 | 15% |
| Student > Doctoral Student | 1 | 8% |
| Student > Bachelor | 1 | 8% |
| Other | 2 | 15% |
| Unknown | 2 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 9 | 69% |
| Earth and Planetary Sciences | 1 | 8% |
| Business, Management and Accounting | 1 | 8% |
| Unknown | 2 | 15% |
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 16 September 2020.
All research outputs
#6,716,471
of 25,371,288 outputs
Outputs from Perspectives on Behavior Science
#146
of 552 outputs
Outputs of similar age
#70,022
of 269,209 outputs
Outputs of similar age from Perspectives on Behavior Science
#2
of 3 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 552 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has gotten more attention than average, scoring higher than 73% 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 269,209 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 73% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.