Washington State Institute for Public Policy
Parents as tutors with teacher oversight
Pre-K to 12 Education
Benefit-cost estimates updated May 2017.  Literature review updated June 2014.
In "parents as tutors" programs, teachers meet with parents in person and maintain contact over the phone to train and encourage parents to engage in planned, structured academic activities with their children at home, usually in the form of one-on-one reading tutoring. This review does not include the impact on children's academic achievement from parent involvement in general; only school-based programs are included.
BENEFIT-COST
META-ANALYSIS
CITATIONS
The estimates shown are present value, life cycle benefits and costs. All dollars are expressed in the base year chosen for this analysis (2016). The chance the benefits exceed the costs are derived from a Monte Carlo risk analysis. The details on this, as well as the economic discount rates and other relevant parameters are described in our Technical Documentation.
Benefit-Cost Summary Statistics Per Participant
Benefits to:
Taxpayers $1,149 Benefits minus costs $3,348
Participants $2,384 Benefit to cost ratio $5.09
Others $1,024 Chance the program will produce
Indirect ($391) benefits greater than the costs 56 %
Total benefits $4,166
Net program cost ($818)
Benefits minus cost $3,348
1In addition to the outcomes measured in the meta-analysis table, WSIPP measures benefits and costs estimated from other outcomes associated with those reported in the evaluation literature. For example, empirical research demonstrates that high school graduation leads to reduced crime. These associated measures provide a more complete picture of the detailed costs and benefits of the program.

2“Others” includes benefits to people other than taxpayers and participants. Depending on the program, it could include reductions in crime victimization, the economic benefits from a more educated workforce, and the benefits from employer-paid health insurance.

3“Indirect benefits” includes estimates of the net changes in the value of a statistical life and net changes in the deadweight costs of taxation.
Detailed Monetary Benefit Estimates Per Participant
Benefits from changes to:1 Benefits to:
Taxpayers Participants Others2 Indirect3 Total
Labor market earnings associated with test scores $1,110 $2,444 $1,109 $0 $4,663
Health care associated with educational attainment $67 ($18) ($73) $33 $9
Costs of higher education ($28) ($42) ($12) ($14) ($96)
Adjustment for deadweight cost of program $0 $0 $0 ($410) ($410)
Totals $1,149 $2,384 $1,024 ($391) $4,166
Detailed Annual Cost Estimates Per Participant
Annual cost Year dollars Summary
Program costs $794 2013 Present value of net program costs (in 2016 dollars) ($818)
Comparison costs $0 2013 Cost range (+ or -) 10 %
To estimate costs, we assume that teachers spend an average of one-quarter hour per week to maintain contact with parents during the school year, based on the evaluations included in our analysis. We calculated the value of teacher time using average Washington State compensation costs (including benefits) for a K–8 teacher as reported by the Office of the Superintendent of Public Instruction.
The figures shown are estimates of the costs to implement programs in Washington. The comparison group costs reflect either no treatment or treatment as usual, depending on how effect sizes were calculated in the meta-analysis. The cost range reported above reflects potential variation or uncertainty in the cost estimate; more detail can be found in our Technical Documentation.
Estimated Cumulative Net Benefits Over Time (Non-Discounted Dollars)
The graph above illustrates the estimated cumulative net benefits per-participant for the first fifty years beyond the initial investment in the program. We present these cash flows in non-discounted dollars to simplify the “break-even” point from a budgeting perspective. If the dollars are negative (bars below $0 line), the cumulative benefits do not outweigh the cost of the program up to that point in time. The program breaks even when the dollars reach $0. At this point, the total benefits to participants, taxpayers, and others, are equal to the cost of the program. If the dollars are above $0, the benefits of the program exceed the initial investment.

Meta-analysis is a statistical method to combine the results from separate studies on a program, policy, or topic in order to estimate its effect on an outcome. WSIPP systematically evaluates all credible evaluations we can locate on each topic. The outcomes measured are the types of program impacts that were measured in the research literature (for example, crime or educational attainment). Treatment N represents the total number of individuals or units in the treatment group across the included studies.

An effect size (ES) is a standard metric that summarizes the degree to which a program or policy affects a measured outcome. If the effect size is positive, the outcome increases. If the effect size is negative, the outcome decreases.

Adjusted effect sizes are used to calculate the benefits from our benefit cost model. WSIPP may adjust effect sizes based on methodological characteristics of the study. For example, we may adjust effect sizes when a study has a weak research design or when the program developer is involved in the research. The magnitude of these adjustments varies depending on the topic area.

WSIPP may also adjust the second ES measurement. Research shows the magnitude of some effect sizes decrease over time. For those effect sizes, we estimate outcome-based adjustments which we apply between the first time ES is estimated and the second time ES is estimated. We also report the unadjusted effect size to show the effect sizes before any adjustments have been made. More details about these adjustments can be found in our Technical Documentation.

Meta-Analysis of Program Effects
Outcomes measured Primary or secondary participant No. of effect sizes Treatment N Adjusted effect sizes (ES) and standard errors (SE) used in the benefit-cost analysis Unadjusted effect size (random effects model)
First time ES is estimated Second time ES is estimated
ES SE Age ES SE Age ES p-value
Test scores 9 149 0.050 0.115 9 0.030 0.127 17 0.167 0.149
Citations Used in the Meta-Analysis

Erion, R.J. (1994). Parent tutoring, reading instruction and curricular assessment. Dissertation Abstracts International, 54(11), 4035A.

Fantuzzo, J.W., Davis, G.Y. & Ginsburg, M.D. (1995). Effects of parent involvement in isolation or in combination with peer tutoring on student self-concept and mathematics achievement. Journal of Educational Psychology, 87(2), 272-281.

Heller, L R., & Fantuzzo, J.W. (1993). Reciprocal peer tutoring and parent partnership: Does parent involvement make a difference? School Psychology Review, 22(3), 517-534.

Mehran, M., & White, K.R. (1988). Parent tutoring as a supplement to compensatory education for first-grade children. Remedial and Special Education, 9(3), 35-41.

Miller, B.V., & Kratochwill, T.R. (1996). An evaluation of the Paired Reading Program using competency-based training. School Psychology International, 17(3), 269-291.

Nielson, B.B. (1992). Effects of parent and volunteer tutoring on reading achievement of third grade at-risk students. Dissertation Abstracts International, 52(10), 3570A.

Powell-Smith, K.A., Shinn, M R., Stoner, G., & Good, R.H., III. (2000). Parent tutoring in reading using literature and curriculum materials: Impact on student reading achievement. School Psychology Review, 29(1), 5-27.

Rodick, J.D., & Henggeler, S.W. (1980). The short-term and long-term amelioration of academic and motivational deficiencies among low-achieving inner-city adolescents. Child Development, 51(4), 1126-1132.

For more information on the methods
used please see our Technical Documentation.
360.664.9800
institute@wsipp.wa.gov