Effects of testing
Overview
- Influence: Effects of testing
- Domain: Teaching Strategies
- Sub-Domain: Feedback
- Potential to Accelerate Student Achievement: Potential to accelerate
- Influence Definition: This refers mainly to the effects of standardized assessments, national or state-wide mandated assessments, or overall assessment in the class.
Evidence
- Number of meta-analyses: 6
- Number of studies: 506
- Number of students: 7,013,189
- Number of effects: 1,595
- Effect size: 0.58
Meta-Analyses
Journal Title | Author | First Author's Country | Article Name | Year Published | Variable | Number of Studies | Number of Students | Number of Effects | Effect Size |
---|---|---|---|---|---|---|---|---|---|
International Journal of Testing | Phelps | USA | The effect of testing on student achievement, 1910–2010 | 2012 | Effects of testing | 177 | 7,000,000 | 640 | 0.55 |
Unpublished Thesis | Rowland | USA | The effect of testing versus restudy on retention: A meta-analytic review of the testing effect | 2014 | Effects of testing | 61 | 0 | 159 | 0.50 |
The WERA Educational Journal | Adesope, Trevisan, & Trevisan | The Neglected Benefits of Testing: Implications for Classroom and Self-Directed Learning | 2013 | Effects of pre-testing | 89 | 11,700 | 226 | 0.63 | |
Journal of Technology Education | Haynie | USA | Effects of Anticipation of Test on Delayed Retention Learning. | 2007 | Testing on retention learning | 8 | 0 | 27 | 0.66 |
Review of Educational Research | Fuchs & Fuchs | USA | Test Procedure Bias: A Meta-Analysis of Examiner Familiarity Effects | 1986 | Examiner familiarity effects | 22 | 1,489 | 34 | 0.28 |
Evaluation Review | Phelps | USA | Test frequency, stakes, and feedback in student achievement: A meta-analysis. | 2019 | Effects of testing | 149 | 0 | 509 | 0.84 |
TOTAL/AVERAGE | 506 | 7,013,189 | 1,595 | 0.58 |
Confidence
The Confidence is the average of these four measures, each divided into five approximately equal groups and assigned a value from 1 to 5 based on the following criteria:
-
Number of Meta-analyses
- 1 = 1
- 2 = 2–3
- 3 = 4–6
- 4 = 7–9
- 5 = 10+
-
Number of Studies
- 1 = 1–10
- 2 = 11–50
- 3 = 51–200
- 4 = 201–400
- 5 = 400+
-
Number of Students
- 1 = 1–2,500
- 2 = 2,501–10,000
- 3 = 10,000–20,000
- 4 = 20,000–100,000
- 5 = 100,001+
-
Number of Effects
- 1 = 1–100
- 2 = 101–300
- 3 = 301–600
- 4 = 601–1,200
- 5 = 1,200+
Number of Meta-Analyses | Number of Studies | Number of Students | Number of Effects | Overall Confidence | |
---|---|---|---|---|---|
Confidence Factor | 3 | 5 | 5 | 5 | 5 |