Grade productivity profile¶
Research Method · All research methods
Evidence · 6 claims (6 for) · 3 studies (2 associational, 1 theoretical),q1–q2· 0 of 3 report an effect size · 6 claims rest on one study
Description¶
The guide introduces a value-added framework in which each school grade's productivity profile presents "three inter-related pieces of information for each school grade." Input status is the previous year's matched test scores, output is end-of-year scores for the same stable students, and the gain is the improvement between them. Profiles are built year by year from 1987 to 1996, smoothed with best-fitting trend lines, and used to read school improvement over time.
Accounts¶
- Grade productivity profile framework: input, output, and learning-gain trends for each school grade: The guide introduces a value-added framework in which each school grade's productivity profile presents "three inter-related pieces of information for each school grade." Input status is the previous year's matched test scores, output is end-of-year scores for the same stable students, and the gain is the improvement between them. Profiles are built year by year from 1987 to 1996, smoothed with best-fitting trend lines, and used to read school improvement over time. (Anthony S. Bryk et al. (1998))
- Trapezoidal pedagogical production function model of learning: A calibrated model (from Kaffenberger and Pritchett, 2020) in which learning in a grade is a trapezoidal function of a student's initial skill level, defined by width, height, slope and centre parameters. The article explains that "the PPF assumes there is a range of initial skill levels within which children learn and above and below which they do not", and a pace parameter shifts the PPF from one grade to the next. Calibrated to PISA-D countries, it is used here to simulate Covid-19 shock and mitigation scenarios through grade 10. (Kaffenberger (2021))
Claims¶
- Productivity profiles in adjacent grades are negatively related, so judging a school from selected grades alone can be very misleading [+W]
- Judging school improvement requires reading learning gain trends and output trends simultaneously, since either trend monitored alone can mislead [+W]
- Profile trends labeled up or down are determined by statistical criteria, so those labels denote statistically significant trends [+W]
- CPS elementary school productivity improvements stalled after 1997, with no evidence of significant productivity growth since then [+W]
- Learning losses accumulate because children fall behind the curriculum and outside the range of the pedagogical production function, making no further gains: 72 percent of in-school children after the unmitigated shock [+W]
- In the calibrated simulation, a shock reducing grade 3 learning by one-third leaves the cohort a full year of learning behind the no-shock counterfactual by grade 10 [+W]
Related Research Methods¶
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Key Sources¶
- Anthony S. Bryk, Yeow Meng Thum, John Q. Easton, Stuart Luppescu. (1998). Mining Productivity: How to Read Your Productivity Profile. Consortium on Chicago School Research. https://consortium.uchicago.edu
Page metadata
| Field | Value |
|---|---|
type |
research-method |
id |
grade-productivity-profile |
title |
Grade productivity profile |
description |
The guide introduces a value-added framework in which each school grade's productivity profile presents "three inter-related pieces of information for each school grade." Input status is the previous year's matched test scores, output is end-of-year scores for the same stable students, and the gain |
status |
review |
moved_from |
theory/grade-productivity-profile-three-trends |
generated |
by process:sweep-kinds on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — anthony-s-bryk-1998 |
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