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Full-Text Articles in Education
Some Problems In The Analysis Of Cross-National Survey Data, John Keeves, Kelvin Gregory, Petra Lietz, I Gusti Darmawan
Some Problems In The Analysis Of Cross-National Survey Data, John Keeves, Kelvin Gregory, Petra Lietz, I Gusti Darmawan
Dr Petra Lietz
In this article three emergent problems in the analysis of cross-national survey data are raised in a context of 40 years of research and development in a field where persistent problems have arisen and where scholars across the world have sought solutions. Anomalous results have been found from secondary data analyses that would appear to stem from the procedures that have been employed during the past 15 years for the estimation of educational achievement. These estimation procedures are briefly explained and their relationships to the observed anomalies are discussed. The article concludes with a challenge to the use of Bayesian …
Issues In The Change In Gender Differences In Reading Achievement In Cross-National Research Studies Since 1992 : A Meta-Analytic View, Petra Lietz
Dr Petra Lietz
Results of a previous meta-analysis of gender differences in reading achievement at the secondary school level showed significant differences between major assessment programs. Thus, the gender gap in favour of girls was more pronounced for the assessment programs conducted by the National Assessment of Educational Programs in the United States (NAEP), for the more recent assessment programs in Australia and the Programme for the International Student Assessment (PISA) conducted by the OECD. In contrast, no such effect was found for earlier studies conducted by the International Association for the Evaluation of Educational Achievement (IEA), namely the International Reading Comprehension Study …
A Meta-Analysis Of Gender Differences In Reading Achievement At The Secondary School Level, Petra Lietz
A Meta-Analysis Of Gender Differences In Reading Achievement At The Secondary School Level, Petra Lietz
Dr Petra Lietz
This study conducts a meta-analysis using hierarchical linear modeling (HLM) to address the questions of the extent of gender differences in reading, whether or not these differences apply similarly across English and non-English speaking countries and decrease with age. Female secondary students performed 0.19 standard deviation units above their male peers, regardless of age, language of instruction, and whether effect sizes were based on mean differences or correlation coefficients. However, differences emerged between assessment programs, with recent Australian Studies, the National Assessment of Educational Progress Studies (NAEP) and the Programme for International Student Assessment (PISA) reporting greater gender differences.