Does High School Homework Increase Academic Achievement? Charlene Marie Kalenkoski Texas Tech University Sabrina Wulff Pabilonia U.S. Bureau of Labor Statistics.

Slides:



Advertisements
Similar presentations
MICS 3 DATA ANALYSIS AND REPORT WRITING. Purpose Provide an overview of the MICS3 process in analyzing data Provide an overview of the preparation of.
Advertisements

Estimating the Level of Underreporting of Expenditures among Expenditure Reporters: A Further Micro-Level Latent Class Analysis Clyde Tucker Bureau of.
1 The Social Survey ICBS Nurit Dobrin December 2010.
This material is based upon work supported by the National Science Foundation under Grant No: HRD Any opinions, findings, conclusions, or recommendations.
Section 6: Uninsurance and the Safety Net Statewide measures of uninsurance Specific population groups Age, income, race/ethnicity, country of birth, region.
'Exploring the changing temporalities of everyday life: multiple methods of attack.' Dale Southerton (Sociology & The Morgan Centre, Manchester University)
Laura L. McDermott, PhD, FNP, RN Gale A. Spencer, PhD, RN Binghamton University Decker School of Nursing THE RELATIONSHIP AMONG BARRIERS AND FACILITATORS.
Working While Learning or Learning While Working ? Aviad Tur-Sinai Dmitri Romanov Noam Zussman March 11, 2008.
Estimation of Sample Size
Spending time and money within the household Martin Browning University of Oxford Mette Gørtz AKF, Copenhagen IFS Family Workshop, September 2006.
Combining the strengths of UMIST and The Victoria University of Manchester An analysis of the relationship between time spent on active leisure and educational.
Relationships Between Quantitative Variables
1 James P. Smith Childhood Health and the Effects on Adult SES Outcomes.
BACKGROUND RESEARCH QUESTIONS  Does the time parents spend with children differ according to parents’ occupation?  Do occupational differences remain.
The Influence of Parent Education on Child Outcomes: The Mediating Role of Parents Beliefs and Behaviors Pamela E. Davis-Kean University of Michigan This.
Household Production and the Distribution of Income in the United States Cathleen D. Zick, University of Utah, W. Keith Bryant, Cornell University Sivithee.
Women, Minorities, and Technology Jacquelynne Eccles (PI), Pamela Davis-Kean (co-PI), and Oksana Malanchuk University of Michigan.
Calculating sample size for a case-control study
Are Those Who Bring Work Home Really Working Longer Hours? Implications for BLS Productivity Measures Lucy P. Eldridge Sabrina Wulff Pabilonia Dislaimer:
The Effect of Obesity on Children’s Educational Attainment: The Korean Case Kwanghyun Lee (Busan National University of Education) Yongjae Kwon (Kookmin.
University Center Research Team Dr. Scott Dempwolf, Ph.D., EDA Center Director Zhi Li, Ph.D. student Matthew Earls, Ph.D. student Kerry Li Fang, Ph.D.
The possible effects of target language learning prior to secondary dual language school studies by Anna Várkuti 10th Summer School of Psycholinguistics.
WOMEN FACULTY AND THE SOCIAL–CULTURAL NEXUS IN HIGHER EDUCATION Karla A. Henderson, North Carolina State University To examine the social- cultural nexus.
1. Purpose Examine how maternal employment at the child’s age of three affects his/her educational outcome at age of eighteen, using Korean panel data.
DISENTANGLING MATERNAL DECISIONS CONCERNING BREASTFEEDING AND PAID EMPLOYMENT Bidisha Mandal, Washington State University Brian E. Roe, Ohio State University.
EMPLOYMENT QUALITY INDICATORS. NATIONAL DEFINITIONS AND DATA SOURCES MAY CHANGE A LOT. CENTRAL STATISTICAL OFFICE POLAND Radoslaw Antczak | Geneve,
Introduction: While factors within the classroom no doubt play a major part in students’ academic achievement, there is growing interest in how psychosocial.
How do youth with emotional and substance use problems fare in the juvenile justice system? Alison Evans Cuellar, PhD Mailman School of Public Health Columbia.
Tasks and Opportunities within Indian Families Sripad Motiram IGIDR, Mumbai Lars Osberg Department of Economics, Dalhousie University, Halifax Conference.
Father Involvement and Child Well-Being: 2006 Survey of Income and Program Participation (SIPP) Child Well-Being Topical Module 1 By Jane Lawler Dye Fertility.
Assessing the Impact of the Ishraq Program in Egypt Ghada Barsoum, PhD Senior Program Manager Poverty, Gender and Youth Program Population Council International.
Student Engagement Survey Results and Analysis June 2011.
Are Those Who Bring Work Home Really Working Longer Hours? Implications for BLS Productivity Measures Lucy P. Eldridge Sabrina Wulff Pabilonia Disclaimer:
9/18/2015Slide 1 The homework problems on comparing central tendency and variability extend the focus central tendency and variability to a comparison.
8.Implications for Analysis: School Survey, Student Assessment, and Transcript Data.
The Effect of Elderly Household Members on School Enrollment of Children in Tibet Barbara A. Anderson*, Cheong-Seok Kim**, John H. Romani*, John Traphagan***
McMillan Educational Research: Fundamentals for the Consumer, 6e © 2012 Pearson Education, Inc. All rights reserved. Educational Research: Fundamentals.
Has Public Health Insurance for Older Children Reduced Disparities in Access to Care and Health Outcomes? Janet Currie, Sandra Decker, and Wanchuan Lin.
Business and Finance Colleges Principles of Statistics Eng. Heba Hamad week
High rates of attrition exist among college students in science, technology, engineering and math (STEM) fields, especially among women and minorities.
1 Data Linkage for Educational Research Royal Statistical Society March 19th 2007 Andrew Jenkins and Rosalind Levačić Institute of Education, University.
Statistics: Introduction Healey Ch. 1. Outline The role of statistics in the research process Statistical applications Types of variables.
Panel Study of Entrepreneurial Dynamics Richard Curtin University of Michigan.
HAOMING LIU JINLI ZENG KENAN ERTUNC GENETIC ABILITY AND INTERGENERATIONAL EARNINGS MOBILITY 1.
Global Forum on Gender Statistics, Manila, Philippines, October, 2010 中华人民共和国国家统计局中华人民共和国国家统计局中华人民共和国国家统计局中华人民共和国国家统计局 NATIONAL BUREAU OF STATISTICS.
A Regression Analysis of Student Motivation and the Effect of SI on Student Success Kathryn Beck Graduate Student, Applied Economics.
Managerial Economics Demand Estimation & Forecasting.
CHAPTER 12 Descriptive, Program Evaluation, and Advanced Methods.
Longitudinal Links between Neighborhood Problems, Collective Efficacy, and Adolescents’ Academic and Socioemotional Outcomes Shay M. Galto, Danielle M.
Does time spent on Facebook affect your grades? Study results presented by: Mary Vietti : Power Point Creator Justin Price : Editor & Conclusion Jacob.
Modeling and Forecasting Household and Person Level Control Input Data for Advance Travel Demand Modeling Presentation at 14 th TRB Planning Applications.
Tasks and Opportunities Within Indian Families Sripad Motiram Lars Osberg Department of Economics, Dalhousie University, Halifax Canadian Economics Association.
Competition to get into a Post- Secondary institution has greatly increased and the change in the school curriculum has, and will continue to, affect.
Lost but not forgotten : attrition in the Étude longitudinale du développement des enfants du Québec (ÉLDEQ), Julien BÉRARD-CHAGNON and Simona.
Studying the transition to college: A new prospective study IMPACTS Supported by National Institute on Alcohol Abuse and Alcoholism Grant 4 R37 AA
® Changes in Opioid Use Over One Year in Patients with Chronic Low Back Pain Alejandra Garza, Gerald Kizerian, PhD, Sandra Burge, PhD The University of.
© Federal Statistical Office of Germany In-depth review on Time use surveys Presentation by the Federal Statistical Office of Germany Bernd Stoertzbach,
Who’s Minding the Kids in the Summer? Child Care Arrangements for Summer 2006 Lynda Laughlin - U.S. Census Bureau Joseph Rukus - Cornell University Annual.
Do Your Parents Affect Your Future? A survey at Deering High School tells you why. By Sarah Muzzy.
Muskie School of Public Service University of Southern Maine Who Uses Individual Health Insurance & For How Long? Erika Ziller Andrew Coburn Timothy McBride.
How to Examine Your State's Family Outcomes Data: Asking and Answering Critical Questions Melissa Raspa (ECTA) Gary Harmon (NC) Alice Ridgway (CT) Lisa.
Does Classroom Gender Composition Affect School Dropout? Bulent Anil Tuba Toru Delibaşı Gokce Uysal 2/19/20161Labor Market Network Meeting.
Children’s Emotional and Behavioral Problems and Their Parents’ Labor Supply Patrick Richard, Ph.D., M.A. Nicholas C. Petris Center on Health Markets and.
Chapter 9 Estimation using a single sample. What is statistics? -is the science which deals with 1.Collection of data 2.Presentation of data 3.Analysis.
BUS 308 Entire Course (Ash Course) For more course tutorials visit BUS 308 Week 1 Assignment Problems 1.2, 1.17, 3.3 & 3.22 BUS 308.
Investigating the Relationship between Incoming A Level Grades and Final Degree Classification Tomas James Introduction Universities use A Levels as the.
How Can High School Counseling Shape Students’ Postsecondary Attendance? Exploring the Relationship between High School Counseling and Students’ Subsequent.
Residential Mobility, Heterogeneous Neighborhood effects and Educational Attainment of Blacks and Whites Li Gan Texas A&M University and NBER Yingning.
Does time spent on Facebook affect your grades?
Presentation transcript:

Does High School Homework Increase Academic Achievement? Charlene Marie Kalenkoski Texas Tech University Sabrina Wulff Pabilonia U.S. Bureau of Labor Statistics June 24, 2014

Introduction Previous Research  High school homework improves students’ performance on math tests (Betts, 1996; Aksoy & Link, 2000; Eren and Henderson, 2008)  Studies of middle school students (Eren & Henderson, 2011) and college students (Stinebrickner & Stinebrickner, 2008; Grodner & Rupp, 2013) have found that homework improves students’ performance on math and other tests and first- semester GPAs.

Introduction Previous Research  These studies primarily used retrospective questionnaire data that provided information about assigned or completed homework during a typical week.  Exception: Stinebrickner & Stinebrickner (2008), but only examined students from one college.

Introduction Time-diary Data  Are more accurate  Are less subject to social desirability bias  May capture information about secondary activities that survey data do not  Usually do not include information on future outcomes

Contribution We use a nationally-representative time-diary data set that includes future outcome measures  Panel Study of Income Dynamics (PSID) Main interviews Child Development Supplements (CDS): 1997, , Transition to Adulthood Surveys (TA): 2005, 2007, 2009, 2011

Contribution We merge in additional data on  School characteristics from the National Center for Education Statistics Common Core of Data (CCD)  Weather data from the National Climate Data Center (NCDC) of the National Oceanic Atmospheric Administration (NOAA)

Sample High school graduates who were enrolled in grades 9 through 12 in or (when the CDS time-diary data were collected)  805 respondents, including 438 females and 367 males

Outcome Variables Measures of Academic Achievement  High school GPA (ranges from 0 to 100)  College attendance by age 20

Explanatory Variables Homework Measures  Total weekly hours spent doing homework  Weekly hours spent doing homework as a primary activity  Weekly hours spent doing homework as a sole activity

Explanatory Variables Family Characteristics  Number of other household children under age 20  Average real family income over the 5 years prior to the time diary and its square  Indicators for whether the mother had a college degree and whether the mother’s education was missing  Indicators for whether the student lived with a single mother or in some other non-two-parent family arrangement

Explanatory Variables School Characteristics  Fraction of the respondent’s high school that was white (averaged over the respondent’s high school years)  Fraction of the respondent’s high school that was free- or reduced-price-lunch eligible (averaged over the respondent’s high school years)  Respondent’s high school’s student-teacher ratio (averaged over the respondent’s high school years)

Explanatory Variables Instruments: Indicator for whether the weekday diary day was a Friday Indicator for whether the weekend diary day was a Saturday Indicator for whether the diary was in a spring month Indicator for whether the student was older than the state minimum driving age at the time of the weekday diary Average precipitation in the county of residence on the weekday diary day

Select Descriptive Statistics Females (N=438) Males (N=367) MeanStandard Deviation MeanStandard Deviation High school GPA Attend college by age Total homework Primary homework Sole homework

Differences in Average Hours Spent on Total Homework by GPA Above- Average GPA Below- Average GPA DifferenceP-value Female7.84 (7.32) 7.22 (8.64) Male5.58 (7.26) 4.83 (8.01)

Differences in Average Hours Spent on Total Homework by College Attendance by Age 20 Attend College by Age 20 Not Attend College by Age 20 DifferenceP-value Female7.65 (7.95) 6.66 (7.69) Male5.62 (7.80) 2.37 (4.15)

Econometric Analyses First set of analyses: Homework time (H) is treated as exogenous in the outcome equation.  Outcome equation is either Z = b 0 + b 1 *H + b 2 *X + u (High School GPA) or Y* = a 0 + a 1 *H + a 2 *X + e(College Attendance by Age 20) Y = 1 if Y* > 0 Y = 0 otherwise

Econometric Analyses Second set of analyses: Homework time (H) is treated as endogenous.  Jointly estimate each outcome equation with the following homework equation via limited information maximum likelihood: H = d 0 + d 1 X + d 2 W + γ  W includes variables that are highly correlated with H but not directly correlated with the outcomes (instruments)

The Effects of Homework Time on Achievement (Homework Treated As Exogenous) GPA (OLS)College Attendance by Age 20 (Probit) Female (N = 438) Male (N = 367) Female (N = 438) Male (N = 367) Total Homework (0.0825) (0.1434) (0.0020) ** (0.0036) Primary Homework (0.0874) (0.1409) (0.0020) ** (0.0036) Sole Homework (0.1129) *** (0.1302) (0.0030) ** (0.0036)

The Effects of Homework Time on Achievement (Homework Treated As Endogenous) GPA (OLS)College Attendance by Age 20 (Probit) Female (N = 438) Male (N = 367) Female (N = 438) Male (N = 367) Total Homework (0.4028) (0.4784) (0.0397) (0.0584) Primary Homework (0.3961) (0.4860) (0.0388) (0.0560) Sole Homework (2.3868) (0.9096) (0.1424) (0.1560)

Conclusion When we treat homework as exogenous (our preferred specification) we find that  Homework as a sole activity has a small positive significant effect on GPA for males.  Homework has a significant positive effect on the probability of attending college by age 20 for males.

Conclusion When we treat homework as endogenous (non- preferred specification) we find that  All effects of homework disappear.