NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Whitney, Camille R.; Candelaria, Christopher A. – AERA Open, 2017
Many people have worried about possible adverse effects of high-stakes testing on socioemotional outcomes. This article uses a difference-in-differences approach to investigate the effects of the introduction of high-stakes testing via the No Child Left Behind Act on socioemotional outcomes. Data are from the Early Childhood Longitudinal…
Descriptors: Educational Legislation, Federal Legislation, High Stakes Tests, Accountability
Marsh, Herbert W.; And Others – 1981
The Self Description Questionnaire (SDQ) is a multidimensional instrument designed to measure seven facets of self-concept hypothesized in Shavelson's hierarchical model. Fifth and sixth grade students completed the SDQ and several other instruments. Factor analysis of their responses clearly demonstrated the seven factors that the SDQ was…
Descriptors: Factor Analysis, Foreign Countries, Intermediate Grades, Reading Achievement
Marsh, Herbert W.; And Others – 1981
The Self Description Questionnaire (SDQ) is a multidimensional instrument designed to measure seven facets of self-concept hypothesized in Shavelson's hierarchical model. The SDQ, along with measures of attributions and academic achievement, was administered to primary school students from two quite diverse populations. Separate factor analyses of…
Descriptors: Academic Achievement, Factor Structure, Foreign Countries, Intermediate Grades
Marsh, Herbert W. – 1984
The self-serving effect (SSE), often depicted as a bias, is the tendency to accept responsibility for one's own successes but not one's own failures. Two studies of Australian fifth graders (n=226, n=559) were further analyzed to investigate individual differences in SSE. The Sydney Attribution Scale measured students' perceptions of the causes of…
Descriptors: Academic Achievement, Academic Failure, Achievement Tests, Analysis of Variance