PISA2000阅读素养测验的项目功能差异分析

本文通过对PISA2000阅读素养测验的不同语言组的DIF检测,发现中文版出现DIF标记的项目较之其他语种版本而言,数量较多,在反思评价认知过程中尤其突出。日语与英语、芬兰语版本的DIF项目数量只有中文版本的二分之一左右。本文最后对DIF产生原因与检测方法的局限性进行了讨论。     

Unequal access,unequal participation: some spatial and socio‐economic dimensions of the gender gap in education in Africa with special reference to Ghana,Zimbabwe and Kenya

The question of unequal access to education among males and females appears to be universal in the developing world. However, females in Africa seem to suffer more discrimination in terms of access to education. This study revisits the question of gender disparities in educational access in Africa by analyzing data from recent comparative national surveys including the Demographic and Health Surveys, Living Standards Surveys, and World Bank data, focusing on Ghana, Zimbabwe and Kenya. It concludes that while substantial progress has been made in the last 40 years, female illiteracy rates are still high compared to males, and entrenched attitudes continue to keep females out of the educational system, thereby perpetuating the gender gap. Furthermore, while females are generally disadvantaged vis a vis their male counterparts, females living in the urban areas and some core regions tend to be better off than those living in the rural areas and peripheral regions. The paper suggests a number of policy recommendations that would enable African countries, especially the three countries used as case studies, to reap the full benefits that accrue from female education. These include the need for African governments to rededicate their efforts towards giving female education the highest priority, creating girl‐friendly school environments, helping resolve parental poverty issues that compel them to force girls into early marriages, legislating and enforcing laws that compel all children to stay in school for at least 12 years, and wiping out the long existing spatial inequities that enable people in certain locations to have better access to education than others.     

An NCME Instructional Module on Using Differential Step Functioning to Refine the Analysis of DIF in Polytomous Items

Traditional methods for examining differential item functioning (DIF) in polytomously scored test items yield a single item‐level index of DIF and thus provide no information concerning which score levels are implicated in the DIF effect. To address this limitation of DIF methodology, the framework of differential step functioning (DSF) has recently been proposed, whereby measurement invariance is examined within each step underlying the polytomous response variable. The examination of DSF can provide valuable information concerning the nature of the DIF effect (i.e., is the DIF an item‐level effect or an effect isolated to specific score levels), the location of the DIF effect (i.e., precisely which score levels are manifesting the DIF effect), and the potential causes of a DIF effect (i.e., what properties of the item stem or task are potentially biasing). This article presents a didactic overview of the DSF framework and provides specific guidance and recommendations on how DSF can be used to enhance the examination of DIF in polytomous items. An example with real testing data is presented to illustrate the comprehensive information provided by a DSF analysis.