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Instruction Time, Classroom
   Quality, and Academic
        Achievement
Steven G. Rivkin and Jeffrey C. Schiman

            February 2013
Policy Background
• Increase in the quantity of an input would be
  expected to increase output in virtually all
  circumstances
  – Evidence on school resources suggests the
    presence of extensive inefficiencies in public
    schools
  – Raises questions about the benefits of increased
    instructional time
Longer Instruction Time and Higher
             Achievement
• Poland substantially increased time devoted
  to 9th grade mathematics instruction in 2001
  by over 80 minutes per week on average
• Instruction time at KIPP Charter schools is 60%
  higher than the US average
• In each case a number of other factors also
  differ, raising uncertainty about the effects of
  instructional time
Existing Literature
• Supports positive effect of instructional time
• Most research designs fail to account for the
  non-random allocation of instructional time
• Higher achieving students attend schools with
  a greater emphasis on academics
• Lavy (2010) is an exception
  – Method uses within student and school time
    variation by subject
  – Deficiencies of 2006 categorical time data
Conceptual Framework
• Allocation of instruction time depends upon
  many factors including ability
• Benefit of additional time likely depends on
  classroom quality
  – Teacher skills
  – Curriculum
  – Student behavior
• Behavior and instruction quality may vary with
  time
Empirical Framework
• Use panel data methods to account for
  differences in ability and quality of instruction
  that could be related to instructional time
• Aggregate instructional time information to the
  school-grade-subject level to mitigate problems
  introduced by student class assignments
• Use survey questions to generate measures of
  learning environment that will be used to
  investigate heterogeneity in time effects
Structure of 2009 PISA data
• Tests in mathematics and language arts
• 15 year old students are in multiple grades
• School representative reports class length
  – Typically samefor all grades and subjects
• Students report number of classes attended
• School representative answers questions on
  classroom environment
Empirical model

   A sgjc    M sgjc                  sgjc


sgjc     s    g       j          c          sgc


        sj     gj         sgjc
School by grade Fixed Effects
• School by grade fixed effects accounts for
  student and school differences common
  across subjects (similar to student fixed
  effects)
• Subject specific factors that vary at the
  individual or school level could introduce bias
Accounting for subject specific factors
• Country by grade by subject fixed effects
  account for factors such as national curricula,
  investments, or emphasis
• School by subject fixed effects account for
  differences among subjects in ability, teacher
  skill, or quality of curriculum
Identification with school by subject
              fixed effects
• Cumulative nature of learning attenuates
  estimates
  – Assumption that 9th grade instructional time has
    no effect on 10th grade achievement likely violated
• Uses within subject instructional time
  differences between grades
  – Assumes cohort differences in ability and grade
    differences in the quality of instruction are not
    related to grade differences in instructional time
Presentation of Results
• Distribution of instructional time and
  corresponding test score differences
• OLS and Fixed Effect Estimates of weekly
  minutes and weekly classes effects
• Non-linear estimates of instructional time
  effects
• Construction of classroom quality variable
• Estimates of interaction with quality
Joint Distribution of Classes Per Week

                               Mathematics

Language Arts    0-2       3       4         5     6+

0-2             15,776   7,690    3,943   2,580   1,687

3               6,565    32,226 19,054    6,942   2,385

4               5,433    20,260 68,412 23,464     5,623

5               1,930    4,410   27,530 62,870 11,384

6+              1,081    1,586    9,746   16,800 36,011
Mathematics minus reading score difference
by numbers of classes
                               Mathematics

Language Arts   0-2      3         4          5     6+

0-2             -2.3    3.5       -2.2        5     11.5

3                1.4    -1         4.6       3.2    6.6

4               -4.3    -1.4       0.4        0     9.2

5               -12.2   -3.7      -9.6       -1.3   5.6

6+              -14.7   3.1       -0.2       0.2    10.5
Table 3. Estimated Effects of Weekly Instructional Minutes and
Classes per Week on Achievement
Panel A:

Weekly Minutes of
Instruction          0.072*** 0.030*** 0.018***       0.006

                      (0.008)   (0.005)    (0.007)   (0.009)
Panel B:

Weekly Number of
Classes              5.597*** 2.426*** 1.142***       0.270

                      (0.495)   (0.335)    (0.482)   (0.482)

School-by-grade
fixed effects            N         Y         N          Y
Table 4. Estimated Effects of Weekly Minutes

Weekly Minutes                 0.069***         0.108***
                                (0.014)          (0.018)


Weekly Minutes Squared        -0.00006***      -0.00013***

                               (0.00002)        (0.00002)

School-by-grade fixed
effects                            Y               N

School-by-subject fixed
effects                            N               Y
Table 6. Estimated Effects of Classes per Week on
              Achievement, By Class Length

               40      3.251***              0.905
                        (0.821)             (0.644)
               45      1.850***             1.071*
                        (0.531)             (0.564)
               50      3.263***            1.910***
                         (0.60)              (0.58)
               55      4.017***            1.988***
                         (0.94)              (0.64)
               60      3.250***              0.946
                         (1.11)              (0.74)


School-by-grade
fixed effects              Y                  N
Variation in benefits of instructional
      time by classroom quality
• Hindrances to learning
  – Disruption
  – Lower teacher quality
  – Ineffective curriculum
• Quality of learning environment might
  decrease as class length increases
Measurement of Learning Hindrances

  Teachers’ low expectations of students
  Student absenteeism
  Poor student-teacher-relations

  Disruption of classes by students

  Teachers not meeting individual student needs
  Teacher absenteeism
  Students skipping classes

  Students lacking respect for teachers
Table 8. Estimated Effects of Instructional Time, by
                Classroom Hindrances
Weekly Minutes of
Instruction                    0.080***       0.051*
                                (0.017)       (0.028)
Weekly minutes-by-
Classroom Hindrances          -0.020***        -0.013
                                (0.006)       (0.010)
Weekly Number of Classes      4.560***       3.338**
                               (1.033)       (1.692)
Weekly Classes-by-
Classroom Hindrances          -0.824**        -0.819
                               (0.369)       (0.607)
School-by-grade fixed
effects                           Y             N
School-by-subject fixed
effects                           N             Y
Summary and Policy Implications
• Evidence supports the hypothesis that
  additional instructional time raises
  achievement
  – Significant school by subject estimates likely
    provide a lower bound on effects
• Modest diminishing returns to additional time
• Evidence that benefits depend on quality of
  learning environment
Determinants of return to instructional
                time
• Quality of learning environment
• Opportunity costs in terms of other subjects
  foregone or financial cost of additional time at
  school
• Return also depends on other benefits of
  longer time in school potentially including
  – reduced crime and deviant behavior
  – Improvements in other valued outcomes

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INEE. Ponencia Prof. Rivkin. Universidad Ilinois. Horas clase en materias instrumentales y resultados PISA.

  • 1. Instruction Time, Classroom Quality, and Academic Achievement Steven G. Rivkin and Jeffrey C. Schiman February 2013
  • 2. Policy Background • Increase in the quantity of an input would be expected to increase output in virtually all circumstances – Evidence on school resources suggests the presence of extensive inefficiencies in public schools – Raises questions about the benefits of increased instructional time
  • 3. Longer Instruction Time and Higher Achievement • Poland substantially increased time devoted to 9th grade mathematics instruction in 2001 by over 80 minutes per week on average • Instruction time at KIPP Charter schools is 60% higher than the US average • In each case a number of other factors also differ, raising uncertainty about the effects of instructional time
  • 4. Existing Literature • Supports positive effect of instructional time • Most research designs fail to account for the non-random allocation of instructional time • Higher achieving students attend schools with a greater emphasis on academics • Lavy (2010) is an exception – Method uses within student and school time variation by subject – Deficiencies of 2006 categorical time data
  • 5. Conceptual Framework • Allocation of instruction time depends upon many factors including ability • Benefit of additional time likely depends on classroom quality – Teacher skills – Curriculum – Student behavior • Behavior and instruction quality may vary with time
  • 6. Empirical Framework • Use panel data methods to account for differences in ability and quality of instruction that could be related to instructional time • Aggregate instructional time information to the school-grade-subject level to mitigate problems introduced by student class assignments • Use survey questions to generate measures of learning environment that will be used to investigate heterogeneity in time effects
  • 7. Structure of 2009 PISA data • Tests in mathematics and language arts • 15 year old students are in multiple grades • School representative reports class length – Typically samefor all grades and subjects • Students report number of classes attended • School representative answers questions on classroom environment
  • 8. Empirical model A sgjc M sgjc sgjc sgjc s g j c sgc sj gj sgjc
  • 9. School by grade Fixed Effects • School by grade fixed effects accounts for student and school differences common across subjects (similar to student fixed effects) • Subject specific factors that vary at the individual or school level could introduce bias
  • 10. Accounting for subject specific factors • Country by grade by subject fixed effects account for factors such as national curricula, investments, or emphasis • School by subject fixed effects account for differences among subjects in ability, teacher skill, or quality of curriculum
  • 11. Identification with school by subject fixed effects • Cumulative nature of learning attenuates estimates – Assumption that 9th grade instructional time has no effect on 10th grade achievement likely violated • Uses within subject instructional time differences between grades – Assumes cohort differences in ability and grade differences in the quality of instruction are not related to grade differences in instructional time
  • 12. Presentation of Results • Distribution of instructional time and corresponding test score differences • OLS and Fixed Effect Estimates of weekly minutes and weekly classes effects • Non-linear estimates of instructional time effects • Construction of classroom quality variable • Estimates of interaction with quality
  • 13. Joint Distribution of Classes Per Week Mathematics Language Arts 0-2 3 4 5 6+ 0-2 15,776 7,690 3,943 2,580 1,687 3 6,565 32,226 19,054 6,942 2,385 4 5,433 20,260 68,412 23,464 5,623 5 1,930 4,410 27,530 62,870 11,384 6+ 1,081 1,586 9,746 16,800 36,011
  • 14. Mathematics minus reading score difference by numbers of classes Mathematics Language Arts 0-2 3 4 5 6+ 0-2 -2.3 3.5 -2.2 5 11.5 3 1.4 -1 4.6 3.2 6.6 4 -4.3 -1.4 0.4 0 9.2 5 -12.2 -3.7 -9.6 -1.3 5.6 6+ -14.7 3.1 -0.2 0.2 10.5
  • 15. Table 3. Estimated Effects of Weekly Instructional Minutes and Classes per Week on Achievement Panel A: Weekly Minutes of Instruction 0.072*** 0.030*** 0.018*** 0.006 (0.008) (0.005) (0.007) (0.009) Panel B: Weekly Number of Classes 5.597*** 2.426*** 1.142*** 0.270 (0.495) (0.335) (0.482) (0.482) School-by-grade fixed effects N Y N Y
  • 16. Table 4. Estimated Effects of Weekly Minutes Weekly Minutes 0.069*** 0.108*** (0.014) (0.018) Weekly Minutes Squared -0.00006*** -0.00013*** (0.00002) (0.00002) School-by-grade fixed effects Y N School-by-subject fixed effects N Y
  • 17. Table 6. Estimated Effects of Classes per Week on Achievement, By Class Length 40 3.251*** 0.905 (0.821) (0.644) 45 1.850*** 1.071* (0.531) (0.564) 50 3.263*** 1.910*** (0.60) (0.58) 55 4.017*** 1.988*** (0.94) (0.64) 60 3.250*** 0.946 (1.11) (0.74) School-by-grade fixed effects Y N
  • 18. Variation in benefits of instructional time by classroom quality • Hindrances to learning – Disruption – Lower teacher quality – Ineffective curriculum • Quality of learning environment might decrease as class length increases
  • 19. Measurement of Learning Hindrances Teachers’ low expectations of students Student absenteeism Poor student-teacher-relations Disruption of classes by students Teachers not meeting individual student needs Teacher absenteeism Students skipping classes Students lacking respect for teachers
  • 20. Table 8. Estimated Effects of Instructional Time, by Classroom Hindrances Weekly Minutes of Instruction 0.080*** 0.051* (0.017) (0.028) Weekly minutes-by- Classroom Hindrances -0.020*** -0.013 (0.006) (0.010) Weekly Number of Classes 4.560*** 3.338** (1.033) (1.692) Weekly Classes-by- Classroom Hindrances -0.824** -0.819 (0.369) (0.607) School-by-grade fixed effects Y N School-by-subject fixed effects N Y
  • 21. Summary and Policy Implications • Evidence supports the hypothesis that additional instructional time raises achievement – Significant school by subject estimates likely provide a lower bound on effects • Modest diminishing returns to additional time • Evidence that benefits depend on quality of learning environment
  • 22. Determinants of return to instructional time • Quality of learning environment • Opportunity costs in terms of other subjects foregone or financial cost of additional time at school • Return also depends on other benefits of longer time in school potentially including – reduced crime and deviant behavior – Improvements in other valued outcomes

Notes de l'éditeur

  1. Noisy proxies for share of class time available for learning