缩略图

Gender differences in the intention

普通类

zhangfeiye

2011-03-24

  • 简介: Amongst the key issues in technology acceptance research is gender differences in their response towards technology. A recent study by Broos (2005) suggested that when faced with a new medium, such as the Internet, males were more enthusiastic and tend to develop more positive attitude towards it. On the other hand, females take a longer time to become familiar and consequently take a longer to time to develop positive feelings for new technology. Methodologically, the author in this and other studies that explored gender differences had assumed that the instruments they had used were equivalent across genders although no evidence could be found to support this assumption. However, such comparisons without first establishing measurement invariance between groups (eg, males and females) may lead to erroneous interpretations based on scores that were obtained due to chance or stained by error. One method of preventing flawed between-group comparisons is to test for measurement invariance (MI). MI refers to the consistency of measurement across a specified group differentiation. Additionally, when a researcher is confident that items in an instrument have the same meaning to different groups (eg, old people and young people) or that these items have equivalentweights as indicators of the constructs being measured, then it is meaningful to analyse the pooled (combined) data as if they belong to a single group (Byrne, 2001; Cheung & Rensvold, 2002). One goal of MI is to assess the lack of variance between the measurements used to measure two or more groups, to ensure an instrument measures a construct in the same way in each group.
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