Adventures in translating terms of sample survey theory and practice in social investigations and the non-existent «statistical error»: An annotated English-Greek glossary
Abstract
The paper presents an annotated English-Greek glossary of terms in sample survey theory and practice in social investigations, based mainly on the translation of statistical terms by Professors Athanasiadis, Kokolakis and Chryssafinou, the Greek Statistical Institute, the International Statistical Institute, and by the National Statistical Service of Greece in the documentation of its surveys. The findings show that sample survey theory and practice terms have been translated correctly by the National Statistical Service of Greece, while there is disagreement among statisticians even on basic statistical terms and «statistical error», a Greek invention, is non-existent as a statistical term.
Article Details
- How to Cite
-
Μιχαλοπούλου Κ. (2012). Adventures in translating terms of sample survey theory and practice in social investigations and the non-existent «statistical error»: An annotated English-Greek glossary. The Greek Review of Social Research, 137, 3–49. https://doi.org/10.12681/grsr.5
- Issue
- 2012: 137-138, Α-Β
- Section
- Articles
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution Non-Commercial License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g. post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (preferably in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
