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Open Access

The Effects of a Structured Curriculum on Preschool Effectiveness

A Field Experiment

View ORCID ProfileMari Rege, View ORCID ProfileIngunn Størksen, View ORCID ProfileIngeborg F. Solli, Ariel Kalil, View ORCID ProfileMegan M. McClelland, View ORCID ProfileDieuwer ten Braak, View ORCID ProfileRagnhild Lenes, Svanaug Lunde, Svanhild Breive, Martin Carlsen, Ingvald Erfjord and Per Sigurd Hundeland
Journal of Human Resources, March 2024, 59 (2) 576-603; DOI: https://doi.org/10.3368/jhr.0220-10749R3
Mari Rege
Mari Rege is a professor of economics at the University of Stavanger.
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Ingunn Størksen
Ingunn Størksen is a professor of pedagogical psychology at the University of Stavanger.
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Ingeborg F. Solli
Ingeborg F. Solli is an associate professor of economics at the University of Stavanger.
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Ariel Kalil
Ariel Kalil is a professor of public policy at the University of Chicago.
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Megan M. McClelland
Megan McClelland is the Katherine E. Smith Healthy Children and Families Professor at Oregon State University.
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Dieuwer ten Braak
Dieuwer ten Braak is an associate professor of psychology at the University of Stavanger.
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Ragnhild Lenes
Ragnhild Lenes is an associate professor of education science at the University of Stavanger.
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Svanaug Lunde
Svanaug Lunde is an associate professor of education science at the University of Stavanger.
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Svanhild Breive
Svanhild Breive is an associate professor of mathematics education at the University of Agder.
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Martin Carlsen
Martin Carlsen is a professor of mathematics education at University of Agder.
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Ingvald Erfjord
Ingvald Erfjord is an associate professor of mathematics education at University of Agder.
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Per Sigurd Hundeland
Per Sigurd Hundeland is an associate professor of mathematics education at University of Agder.
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    Figure 1

    Experimental Design

    Notes: 71 preschool centers randomly split between control and treatment. Preschool year 2015–2016, teachers in treated centers attended the teacher training and helped revise the curriculum. In 2016–2017, teachers in treated centers implemented the structured curriculum with the five-year-olds in their center. In 2017–2018, teachers in control centers received the teacher training. We assessed children’s skills in language, mathematics, and executive functioning in August 2016 (baseline, T1), June 2017 (post-intervention, T2), and March 2018 (follow-up, T3).

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    Table 1

    Test Score Correlations

    Summary ScoreMathematicsExecutive FunctioningLanguage
    T1 Test Scores
    Mathematics0.807
    Executive functioning0.8370.545
    Language0.7800.4110.483
    T2 Test Scores
    Summary score0.7640.6100.6480.595
    Mathematics0.6200.5930.5070.404
    Executive functioning0.6670.5210.6670.428
    Language0.5920.3840.4180.634
    T3 Test Scores
    Summary score0.7080.5710.6040.540
    Mathematics0.5510.5020.4700.362
    Executive functioning0.5950.4830.5860.374
    Language0.5740.4020.4120.578
    • Notes: Gross sample, N ≤ 691. Sample varies slightly across test scores and across assessment period. All correlations are significant at the 1 percent level.

    • View popup
    Table 2

    Descriptive Statistics and Balance Test for T2 and T3 Sample

    Post-intervention T2Follow-up T3
    ControlTreatDifferenceWild PNControlTreatDifferenceWild PN
    T1 summary score0.022−0.021−0.0560.5016500.028−0.016−0.0640.454661
    (0.058)(0.053)(0.083)(0.059)(0.052)(0.083)
    T1 executive functioning−0.0150.0090.0240.799650−0.0220.0190.0400.669661
    (0.059)(0.053)(0.090)(0.058)(0.052)(0.093)
    T1 language0.058−0.046−0.1120.1906500.076−0.050−0.147*0.072661
    (0.059)(0.052)(0.084)(0.060)(0.050)(0.076)
    T1 mathematics0.010−0.013−0.0460.5736500.014−0.008−0.0470.578661
    (0.056)(0.055)(0.079)(0.055)(0.053)(0.084)
    Female0.5170.480−0.0230.4696500.5150.475−0.0290.435661
    (0.500)(0.500)(0.032)(0.500)(0.500)(0.037)
    Birth month6.8786.807−0.0760.7486506.7446.8260.0630.813661
    (3.184)(3.213)(0.235)(3.229)(3.177)(0.266)
    Mother education14.37714.161−0.1690.46462614.38514.126−0.2300.268637
    (2.590)(2.587)(0.230)(2.547)(2.569)(0.207)
    Father education13.81413.696−0.1360.65862013.78213.715−0.0850.776628
    (2.563)(2.504)(0.265)(2.536)(2.469)(0.252)
    Mother earnings341,408320,168−22,9020.324648339,897322,267−21,2060.329658
    (221,464)(206,324)(22,751)(214,889)(203,739)(21,584)
    Father earnings544,773558,59614,3110.512636547,552562,88518,0070.415643
    (259,182)(267,057)(21,544)(262,667)(272,631)(21,599)
    Non-Western immigrant0.1300.2010.0680.1236500.1360.2030.0640.142661
    (0.337)(0.401)(0.040)(0.343)(0.403)(0.039)
    Missing T1 test scores0.0510.0340.0150.4376500.0580.0410.0160.518661
    (0.013)(0.010)(0.019)(0.014)(0.010)(0.024)
    N292358650293368661
    F-test0.2950.000
    • Notes: *p < 0.1. The columns provide mean (standard deviation) for covariates and T1 test scores for the control group and treatment group in the T2 and T3 analytic samples. The column labeled “Difference” is the estimated coefficient (standard error) from regressing each covariate against treatment status. Regressions are clustered on and control for randomization block.

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    Table 3

    Main Results—Treatment Effect on Test Scores at Post-Intervention (T2) and in the One-Year Follow-up (T3)

    Post-intervention (T2)Follow-up (T3)
    Summary ScoreMathematicsExecutive FunctioningLanguageSummary ScoreMathematicsExecutive FunctioningLanguage
    Model 1
    Treat0.121*0.1550.123*0.0110.134*0.228***0.0580.043
    (0.063)(0.093)(0.058)(0.068)(0.072)(0.063)(0.055)(0.093)
    Wild P0.0790.1450.0570.8700.0850.0040.2960.680
    N652650652648661661660659
    Adj. R20.6120.4400.4920.5320.5220.3640.3820.492
    Model 2
    Treat0.1300.1540.146**0.0120.1330.213**0.0760.033
    (0.074)(0.105)(0.066)(0.075)(0.093)(0.088)(0.075)(0.098)
    Wild P0.1220.2080.0560.8670.1880.0430.3480.744
    N652650652648661661660659
    Adj. R20.1470.1140.1140.1010.1230.0830.0840.176
    Model 3
    Treat0.122*0.187*0.109−0.0010.1180.236***0.063−0.011
    (0.068)(0.094)(0.064)(0.064)(0.067)(0.063)(0.047)(0.087)
    Wild P0.0950.0790.1150.9870.1080.0040.1860.912
    N652650652648661661660659
    Adj. R20.6130.4330.4920.5210.5170.3490.3790.456
    Model 4
    Treat0.0910.1660.106−0.0550.0910.213**0.064−0.057
    (0.101)(0.108)(0.090)(0.098)(0.102)(0.089)(0.074)(0.117)
    Wild P0.3870.1650.2630.5880.3770.0350.4000.632
    N652650652648661661660659
    Adj. R20.0170.0040.0220.0150.0150.0260.0070.031
    • Notes: *p < 0.1, **p < 0.05, ***p < 0.01. Each column in each panel presents regression coefficient of treated (standard error) using ordinary least squares. For both assessment period, Model 1 regresses outcome on the treatment indicator, controlling for baseline test scores, gender, birth month, parental characteristics (mother and father’s education level, earnings, an indicator for non-Western country of birth), and indicators for late consent and not having participated in the T1 assessment. In Model 2, we exclude baseline test scores from the model. In Model 3, we restrict controls to baseline test scores and an indicator for not having participated in the T1 assessment. Model 4 has no controls. All regressions are clustered on and control for randomization block. We have utilized the boottest package in Stata to do a few-cluster-correction of the p-value, reported in the table as Wild P.

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    Table 4

    Heterogeneous Treatment Effect on Test Scores at Post-intervention (T2) and in the One-Year Follow-up (T3) across High/Low Preschool Quality, Baseline Skills, and Parent Education

    Post-intervention (T2)Follow-up (T3)
    Summary ScoreMathematicsExecutive FunctioningLanguageSummary ScoreMathematicsExecutive FunctioningLanguage
    Panel A: Preschool Center Quality
    Treat0.1560.2270.1270.0260.219***0.311***0.0640.157**
    (0.097)(0.138)(0.105)(0.096)(0.072)(0.096)(0.064)(0.072)
    Treat × High−0.065−0.113−0.019−0.038−0.186*−0.153−0.030−0.264
    (0.107)(0.164)(0.126)(0.115)(0.102)(0.124)(0.116)(0.152)
    Wild P (treat)0.1420.1700.2610.7910.0270.0250.3300.034
    Wild P (T × H)0.5450.5220.8830.7360.1020.2460.7960.132
    N638636638634648648647646
    Adj. R20.6050.4330.4900.5260.5190.3570.3850.489
    Mean low−0.171−0.152−0.157−0.105−0.123−0.098−0.126−0.078
    Mean high0.1740.1520.1610.1080.1240.0840.1390.081
    Panel B: Baseline Skills
    Treat0.0660.1210.104−0.0590.1230.205*0.0080.010
    (0.093)(0.125)(0.089)(0.084)(0.111)(0.109)(0.093)(0.089)
    Treat × High0.1070.0490.0260.1480.0230.0350.0880.068
    (0.123)(0.143)(0.100)(0.137)(0.108)(0.133)(0.133)(0.135)
    Wild P (treat)0.5030.4010.2610.4810.2820.0880.9330.908
    Wild P (T × H)0.3950.7410.7950.2880.8210.7840.5110.608
    N652650652648661661660659
    Adj. R20.6160.4440.4920.5340.5270.3660.3830.491
    Mean low−0.637−0.496−0.553−0.547−0.584−0.442−0.477−0.469
    Mean high0.6250.4870.5430.5500.5860.4410.4790.465
    Panel C: Parent Education
    Treat0.0860.1410.0320.0400.1140.250**−0.0140.038
    (0.102)(0.115)(0.098)(0.105)(0.127)(0.105)(0.108)(0.137)
    Treat × High0.0600.0100.163−0.0440.039−0.0420.1080.036
    (0.121)(0.128)(0.119)(0.100)(0.136)(0.131)(0.157)(0.123)
    Wild P (treat)0.4000.2400.7590.6920.3940.0380.9020.799
    Wild P (T × H)0.6180.9380.2060.6470.7870.7560.5060.791
    N641639641637649649648647
    Adj. R20.6010.4320.4860.5190.5060.3580.3720.475
    Mean low−0.200−0.192−0.179−0.117−0.192−0.174−0.120−0.176
    Mean high0.2220.2030.1950.1470.2270.1890.1510.215
    • Notes: *p < 0.1, **p < 0.05, ***p < 0.01. Each column in each panel presents regression coefficients with standard errors in parentheses, using ordinary least squares. The model specification is in line with Model 1 in Table 3. We add controls for gender, birth month and parental characteristics (education, earnings, and indicator for non-Western country of birth), baseline test scores, indicators for late consent and not having participated in the T1 assessment, and randomization block, with all regressions clustered on randomization block. Preschool center quality is measured as the preschool center fixed effect (center average covariate-adjusted test score). High/low center quality is split at median value. Parental education is measured as the average of mother’s and father’s number of years of education. 12 children with no information on parental education (balanced across treatment status) are excluded from the sample. High/low parental education and high/low baseline skills are split at median value. Mean low and mean high are means of outcome variable in relevant subsamples. We have utilized the boottest package in Stata to do a few-cluster-correction of the p-value, reported in the table as Wild P (treat) and Wild P (T×H).

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    • 0220-10749R3_repmat.pdf
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Journal of Human Resources: 59 (2)
Journal of Human Resources
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The Effects of a Structured Curriculum on Preschool Effectiveness
Mari Rege, Ingunn Størksen, Ingeborg F. Solli, Ariel Kalil, Megan M. McClelland, Dieuwer ten Braak, Ragnhild Lenes, Svanaug Lunde, Svanhild Breive, Martin Carlsen, Ingvald Erfjord, Per Sigurd Hundeland
Journal of Human Resources Mar 2024, 59 (2) 576-603; DOI: 10.3368/jhr.0220-10749R3

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The Effects of a Structured Curriculum on Preschool Effectiveness
Mari Rege, Ingunn Størksen, Ingeborg F. Solli, Ariel Kalil, Megan M. McClelland, Dieuwer ten Braak, Ragnhild Lenes, Svanaug Lunde, Svanhild Breive, Martin Carlsen, Ingvald Erfjord, Per Sigurd Hundeland
Journal of Human Resources Mar 2024, 59 (2) 576-603; DOI: 10.3368/jhr.0220-10749R3
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  • Article
    • Abstract
    • I. Introduction
    • II. The Norwegian Context and Preschool System
    • III. Structured Curriculum Intervention: Structured Preschool Curriculum and Accompanying Teacher Training
    • IV. Experimental Design and Empirical Strategy
    • V. Procedures
    • VI. Assessments and Data
    • VII. Results
    • VIII. Discussion
    • IX. Conclusion
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