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Are gender differences in perceived and demonstrated technology literacy significant? It depends on the model

机译：在认识和证明的技术素养方面，性别差异是否显着？取决于型号

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This paper examines gender differences related to Information and Communication Technology (ICT) literacy using two valid and internally consistent measures with eighth grade students (N = 1,513) from Florida public schools. The results of t test statistical analyses, which examined only gender differences in demonstrated and perceived ICT skills, indicate significant differences in all areas in favor of females. Females had higher factor scores in perception measures for Frequency of Computer Use, Perceived ICT Skills, and Attitudes toward Computers. In addition, female students had significantly higher scores on all six sections from the Student Tool for Technology Literacy, a performance-based assessment. These results counter many empirical research studies that show males generally perform better with ICT skills and have overall better attitudes toward computers than their female counterparts. However, when adding predictors to the model and using multilevel modeling statistical methods, findings indicate that gender was no longer significant. These findings question the importance of the gender differences related to ICT skills that were found with previous statistical examinations. Using more advanced statistical methods to answer research questions pertaining to ICT skills is important in order to determine which factors have the greatest potential for intervention programs that focus on developing equitable ICT skills and career choices for all students.
机译：本文使用两项有效且内部一致的措施与佛罗里达州公立学校的八年级学生（N = 1,513）检验了与信息和通信技术（ICT）素养相关的性别差异。 t检验统计分析的结果仅检查了已证明的和感知的ICT技能中的性别差异，结果表明，在所有方面，女性均存在显着差异。在计算机使用频率，感知的ICT技能和对计算机的态度等感知指标中，女性得分较高。此外，在基于绩效的学生评估工具“技术素养学生工具”中，在所有六个部分中，女学生的得分均明显更高。这些结果与许多经验研究相反，这些研究表明，男性通常具有比ICT女性更好的ICT技能，并且对计算机的总体态度更好。但是，当在模型中添加预测变量并使用多级建模统计方法时，发现表明性别不再重要。这些发现质疑以前的统计检查发现的与ICT技能相关的性别差异的重要性。为了确定哪些因素对干预计划具有最大的潜力，这些干预计划着重于为所有学生发展公平的ICT技能和职业选择，使用更先进的统计方法来回答与ICT技能有关的研究问题非常重要。

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