Students' linguistic behaviour in online discussion groups: Does gender matter? [An article from: Computers in Human Behavior]
Book Details
Author(s)J. Guiller, A. Durndell
PublisherElsevier
ISBN / ASINB000PDYS9G
ISBN-13978B000PDYS95
AvailabilityAvailable for download now
MarketplaceUnited States 🇺🇸
Description
This digital document is a journal article from Computers in Human Behavior, published by Elsevier in 2007. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
This research examined students' language use and interaction styles in text-based, computer-mediated discussion groups. The contributions of 197 introductory psychology students (149 females, 48 males) participating in asynchronous computer-mediated communication (CMC) were collated. Both quantitative and qualitative methods were used, under the methodological framework of qualitative content analysis [Mayring, P. (2000). Qualitative Content Analysis. Forum Qualitative Sozialforschung/Forum: Qualitative Social Research [online] 1. http://qualitative-research.net/fqs-e/2-00halt-e.htm Accessed 10.06.2001]. A coding system, which incorporated the creation of 'supercodes', was developed using Atlas.ti 4.2 and used to code 699 student postings in total. The frequencies of coded categories were analysed using @g^2 statistics in SPSS 10. It was found that males and females were similar regarding use of individual linguistic variables, with the exception of intensifiers as more females used them than males. However, significant gender differences were found in use of many of the stylistic variables and the supercode analysis showed overall gender-related patterns in interaction styles. Males were more likely to use authoritative language and to respond negatively in interactions, than females. On the other hand, females were more likely to explicitly agree and support others and make more personal and emotional contributions, than males. The results suggest that gendered power differentials may carry over into online contexts, which has implications for the use of CMC in education.
Description:
This research examined students' language use and interaction styles in text-based, computer-mediated discussion groups. The contributions of 197 introductory psychology students (149 females, 48 males) participating in asynchronous computer-mediated communication (CMC) were collated. Both quantitative and qualitative methods were used, under the methodological framework of qualitative content analysis [Mayring, P. (2000). Qualitative Content Analysis. Forum Qualitative Sozialforschung/Forum: Qualitative Social Research [online] 1. http://qualitative-research.net/fqs-e/2-00halt-e.htm Accessed 10.06.2001]. A coding system, which incorporated the creation of 'supercodes', was developed using Atlas.ti 4.2 and used to code 699 student postings in total. The frequencies of coded categories were analysed using @g^2 statistics in SPSS 10. It was found that males and females were similar regarding use of individual linguistic variables, with the exception of intensifiers as more females used them than males. However, significant gender differences were found in use of many of the stylistic variables and the supercode analysis showed overall gender-related patterns in interaction styles. Males were more likely to use authoritative language and to respond negatively in interactions, than females. On the other hand, females were more likely to explicitly agree and support others and make more personal and emotional contributions, than males. The results suggest that gendered power differentials may carry over into online contexts, which has implications for the use of CMC in education.
