Aggregating Student Achievement Trends across States with Different Tests: Using Standardized Slopes as Effect Sizes
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| Title: | Aggregating Student Achievement Trends across States with Different Tests: Using Standardized Slopes as Effect Sizes |
|---|---|
| Language: | English |
| Authors: | Yin, Robert K., Schmidt, R. James, Besag, Frank |
| Source: | Peabody Journal of Education. 2006 81(2):47-61. |
| Availability: | Lawrence Erlbaum Associates, Inc., Journal Subscription Department, 10 Industrial Avenue, Mahwah, NJ 07430-2262. Tel: 800-926-6579 or 201-258-2200; Fax: 201-236-0072; E-mail: journals@erlbaum.com; Web site: https://www.erlbaum.com/journals.htm. |
| Peer Reviewed: | Y |
| Page Count: | 15 |
| Publication Date: | 2006 |
| Document Type: | Journal Articles Reports - Evaluative |
| Descriptors: | Academic Achievement, Effect Size, Achievement Tests, Meta Analysis, Educational Trends, Test Results, Computation, Achievement Rating, Federal Programs |
| DOI: | 10.1207/S15327930pje8102_3 |
| ISSN: | 0161-956X |
| Abstract: | The study of federal education initiatives that takes place over multiple years in multiple settings often calls for aggregating and comparing data-in particular, student achievement data-across a broad set of schools, districts, and states. The need to track the trends over time is complicated by the fact that the data from the different schools, districts, and states also may have been based on different achievement tests. This article suggests one approach for defining a common metric: calculating the standardized slope of a time series of datapoints. The standardized slope serves as an effect size statistic. Meta-analytic techniques can be employed because the student achievement test results from different states can therefore be considered equivalent to the findings from different studies. |
| Abstractor: | Author |
| Entry Date: | 2006 |
| Accession Number: | EJ736322 |
| Database: | ERIC |
| Abstract: | The study of federal education initiatives that takes place over multiple years in multiple settings often calls for aggregating and comparing data-in particular, student achievement data-across a broad set of schools, districts, and states. The need to track the trends over time is complicated by the fact that the data from the different schools, districts, and states also may have been based on different achievement tests. This article suggests one approach for defining a common metric: calculating the standardized slope of a time series of datapoints. The standardized slope serves as an effect size statistic. Meta-analytic techniques can be employed because the student achievement test results from different states can therefore be considered equivalent to the findings from different studies. |
|---|---|
| ISSN: | 0161-956X |
| DOI: | 10.1207/S15327930pje8102_3 |
