Longitudinal Analyses of Academic Achievement
Data up to Jan 2025
Total Citations Per Year
Abstract
References (26)
How we should measure "change": Or should we?
1970 • 2,463 citations
Application of hierarchical linear models to assessing change.
1987 • 1,484 citations
Problems in Measuring Change
1965 • 1,388 citations
A growth curve approach to the measurement of change.
1982 • 1,092 citations
Multilevel Models in Educational and Social Research
1988 • 1,049 citations
Educational Measurement
1955 • 1,003 citations
Life-span Developmental Psychology: Introduction To Research Methods
1977 • 698 citations
Understanding correlates of change by modeling individual differences in growth
1985 • 566 citations
Linear Models for the Analysis of Longitudinal Studies
1985 • 434 citations
DEMONSTRATING THE RELIABILITY THE DIFFERENCE SCORE IN THE MEASUREMENT OF CHANGE
1983 • 425 citations
Toward a More Appropriate Conceptualization of Research on School Effects: A Three-Level Hierarchical Linear Model
1988 • 340 citations
Educational Applications of Hierarchical Linear Models: A Review
1988 • 266 citations
The Measurement of Growth
1956 • 249 citations
Linear Models for the Analysis of Longitudinal Studies
1985 • 199 citations
On the Relation between Change and Initial Value
1977 • 167 citations
An Index of Tracking for Longitudinal Data
1981 • 131 citations
Extending Classical Test Theory to the Measurement of Change
1972 • 102 citations
On the Relation Between Change and Initial Value
1977 • 90 citations
Intellectual Status and Intellectual Growth
1973 • 63 citations
Intellectual status and intellectual growth.
1966 • 53 citations
MODELS FOR MULTILEVEL RESPONSE VARIABLES WITH AN APPLICATION TO GROWTH CURVES
1989 • 45 citations
Research Strategies and Measurement Methods for Investigating Human Development
1973 • 38 citations
Assessing the stability of teacher behavior.
1984 • 36 citations
TOWARD A MORE APPROPRIATE CONCEPTUALIZATION OF RESEARCH ON SCHOOL EFFECTS: A THREE-LEVEL HIERARCHICAL LINEAR MODEL11The research reported here has been supported by grants from the Spencer Foundation and the Benton Center for Curriculum and Instruction at the University of Chicago. The authors wish to acknowledge the gracious assistance of David Myers in making a small subset of his Sustaining Effects data files available to us for this analysis. The authors also wish to thank Michael Seltzer …
1989 • 14 citations
GENMOD, HLM, ML2 and VARCL, Four Statistical Packages for Hierarchical Linear Regression: Similarities and Differences.
1990 • 1 citations
Deleted Work
1955 • 0 citations