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Middle School Math
Middle School Math
July 30, 2007

Appendices


Appendix A1 Extent of evidence

Intervention name Number of studies Sample size (schools/students) Extent of evidence1
Cognitive Tutor 2 9/781 Medium to large
Connected Mathematics Project (CMP) 3 100/14,696 Medium to large
I CAN Learn® Pre-Algebra and Algebra 6 729/16,656 Medium to large
Saxon Middle School Math 6 101/3,399 Medium to large
The Expert Mathematician 1 1/70 Small
Transition Mathematics 3 49/972 Medium to large
UCSMP Algebra 2 4/225 Medium to large 2

nr = not reported

1 A rating of "medium to large" requires at least two studies and two schools across studies in one domain and a total sample size across studies of at least 350 students or 14 classrooms. Otherwise, the rating is "small."
2 The extent of evidence for UCSMP Algebra is considered to be medium to large because, across studies, 14 classrooms were included at the time of analysis.

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Appendix A2 Targeted population

Intervention name Targeted students (grade levels) Students in studies reviewed (grade levels)1
Cognitive Tutor 7–12 9
Connected Mathematics Project (CMP) 6–8 6–8
I CAN Learn® Pre-Algebra and Algebra 6–12 8–9
Saxon Middle School Math 6–9 6–9
The Expert Mathematician 6–9 8
Transition Mathematics 7–12 7–9
UCSMP Algebra 7–10 8–9

Note: This table compares targeted grade levels and the grade levels in the studies reviewed by the WWC. Grade levels are related to student age and may affect outcomes due to differences in the students' developmental stages as well as differences in school size and organization.

1 Some of the studies reviewed included students in grades 10 or above, but the findings for those students were not reviewed because those grades were outside the scope of this review.

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Appendix A3 Summary of statistically significant1 or substantively important2 positive outcomes

Intervention name Math achievement
Statistically significant positive findings3 Math achievement across outcomes
Cognitive Tutor
Morgan & Ritter, 2002 Math achievement grades (end of first and second semesters) Statistically significant, Substantively important
Schneyderman, 2001 ns ns, nsi
Connected Mathematics Project (CMP)
Ridgway, Zawojewski, Hoover, & Lambdin, 2002 ns ns, nsi
Riordan & Noyce, 2001 Massachusetts Comprehensive Assessment System (MCAS)—math scores ns4
Schneider, 2000 ns ns, nsi
I CAN Learn® Pre-Algebra and Algebra
Kirby, 2006, October Louisiana Educational Assessment Program (LEAP) Grade 8 Mathematics Exam Statistically significant, Substantively important
Kerstyn, 2001, Algebra 1 ns ns, nsi
Kerstyn, 2001, Algebra 1 Honors ns ns, nsi
Kerstyn, 2001, MJ-3 pre-algebra ns ns, nsi
Kerstyn, 2001, MJ-3 Advanced ns ns, nsi
Kerstyn, 2002, October, Algebra 1 ns ns, nsi
Kerstyn, 2002, October, Algebra 1 Honors ns ns, nsi
Kerstyn, 2002, October, MJ-3 pre-algebra FCAT mathematics Statistically significant, nsi
Kerstyn, 2002, October, MJ-3 Advanced ns ns, nsi
Kirby, 2004, September General Mathematics CST Statistically significant, Substantively important
Kirby, 2004a, November Georgia Criterion-Referenced Competency Test (GCRCT) Math Test Statistically significant, Substantively important
Kirby, 2005, January Algebra 1 EOC test Statistically significant, Substantively important
Saxon Middle School Math
Williams, 1986 End-of-course math test Statistically significant, Substantively important
Peters, 1992 ns ns, nsi
Crawford & Raia, 1986 The California Achievement Test (CAT) Statistically significant, Substantively important
Resendez, Fahmy, & Manley, 2005 The Texas Assessment of Academic Skills (TAAS)—TLI score; The Texas Assessment of Knowledge and Skills (TAKS) Statistically significant, nsi
Resendez & Manley, 2005 ns ns4
Roberts, 1994 ns ns, nsi
The Expert Mathematician
Baker, 1997 ns ns, Substantively important
Transition Mathematics
Baker, 1997 ns ns, Substantively important negative effect
Hedges et al., 1986 Geometry Readiness ns, nsi
Thompson et al., 2005 ns ns, nsi
UCSMP Algebra
Peters, 1992 ns ns, nsi
Thompson et al., 2006 Algebra Readiness; Problem Solving and Understanding ns, Substantively important

na = not studied
ns = not statistically significant
nsi = not substantively important

1 According to the WWC criteria, if a program finds a statistically significant effect, there is less than a 5% chance that this difference is due to chance. The level of statistical significance was calculated by the WWC and, where necessary, corrects for clustering within classrooms or schools, and for multiple comparisons. The level of statistical significance was reported by the study authors or, where necessary, calculated by the WWC to correct for clustering within classrooms or schools and for multiple comparisons. For an explanation, see the WWC Tutorial on Mismatch. See the Technical Details of WWC-Conducted Computations for the formulas the WWC used to calculate the statistical significance.
2 For rating purposes, the WWC considers the statistical significance of the findings and the magnitude of the effect, also called the effect size. An average effect size is the sum of all the effect sizes of the student outcomes in a study in a single domain divided by the number of those outcomes. The WWC considers an average effect size across all student outcomes in one study in a given domain to be substantively important if it is equal to or greater than 0.25.
3 No studies showed statistically significant negative effects on math achievement.
4 Student-level effect size could not be computed for this study; whether or not the magnitude of the effect is substantively important is unknown. However, the statistical significance for this study is comparable to other studies and is included in the intervention rating. For further details, see Technical Details of WWC-Conducted Computations.

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