Dealing with Attrition and Missing Data in Longitudinal Studies: A Critique

  • Meshack Nzesei Mutua Institute of Education, University College London, 20 Bedford Way, WC1H 0AL, UK
  • Shiro Mogeni Mount Kenya University, P.O Box 13495, Nairobi – 00100, Kenya
  • Janet Mueni Kilonzi University of Nairobi, P.O Box 30197, Nairobi – 00100, Kenya
Keywords: attrition, missing data, longitudinal studies.


Longitudinal studies in teenage pregnancy, like any other topical issue, have been greatly affected by the problem of participant drop out and missing data. Although existing evidence indicate that data from longitudinal studies can provide useful insights regarding individual behaviours; the quality of the data and representativeness of the findings can adversely be compromised by attrition and missing data. Using literature review, this article criticises two papers on teenage pregnancy that have utilised longitudinal data by examining the effectiveness of the measures taken to correct for the attrition and missing data. The article concludes that procedural strategies used to eliminate or reduce attrition and missing data before and during data collection are more effective than employing statistical strategies to deal with the effects afterwards. If statistical procedures have to be used, it is important to first make distinctions of the missing data mechanisms since this has a bearing on whether certain strategies of handling missing data – such as list-wise deletion, pairwise deletion, mean imputation or multiple imputation –will result in biases or not.


S. Arndt. “Data quality in longitudinal research.” American Journal of Psychiatry, vol. 148, issue 9, pp.1257-1267, 1991.

L.R. Bergman. “Measurement and data quality in longitudinal research.” European Child & Adolescent Psychiatry, vol. 5 (suppl 1), pp. 28-32, 1996.

K. Biering, N.H. Hjiollund and M. Frydenberg. “Using multiple imputation to deal with missing data and attrition in longitudinal studies with repeated measures of patient-reported outcomes.” Clinical Epidemiology, vol. 7, pp. 91-106.

C.C. Bijleveld, L.J.Kamp, A. Mooijaart, W.A. Kloot, R. Leeden and E. Burg. Longitudinal data analysis: designs, models and methods. London: SAGE Publications Ltd, 1998.

A. Boys, J. Marsden, G. Stillwell, K. Hatchings, P. Griffiths and M. Farrell. “Minimizing respondent attrition in longitudinal research: practical implications from a cohort study of adolescent drinking.” Journal of Adolescence, vol. 26, issue 3, pp. 363-73, 2003.

F.D. Callan and E.M. “Parenting constraints and supports of young low-income mothers in rural United States.” Journal of Comparative Family Studies, vol. 44, issue 2, pp. 157-174, 2013.

J.J. Card and L.L. Wise. “Teenage mothers and teenage fathers: the impact of early childbearing on the parents’ personal and professional lives.” Family Planning Perspectives, vol. 10, issue 4, pp. 199-205, 1978.

E.J. Caruana, M. Roman, J. Hernandez-Sanchez and P. Solli. “Longitudinal studies.” Journal of Thoracic Disease, vol. 7, issue 11, pp. 537-540, 2015.

J. Cumming and H. Goldstein. “Handling attrition and non-response in longitudinal data with an application to a study of Australian youth.” Longitudinal and Life Course Studies, vol. 7, issue 1, pp. 53-63, 2016.

Y. Deng, D.S. Hillygus, J.P Reiter, Y. Si and S. Zheng. “Handling attrition in longitudinal studies: the case for refreshment samples.” Statistical Science, vol. 28, issue 2, pp. 238-256, 2013.

L. Fumagalli, H. Laurie and P. Lynn. “Experiments with methods to reduce attrition in longitudinal surveys.” Journal of the Royal Statistical Society, vol. 176, issue 2, pp. 499-519, 2012.

R.D. Gibbons. “Design and Analysis of Longitudinal Studies.” Psychiatric Annals, vol. 38, issue 12, pp. 758-761, 2008.

K. Gustavson, T. Soest, E. Karevold and E. Roysamb. “Attrition and generalizability in longitudinal studies: findings from a 15-year population-based study and a Monte Carlo simulation study.” BMC Public Health, Vol. 12, pp. 918, 2012.

J.B. Kane, S.P. Morgan, K.M. Harris and D.K. Guilkey. “The Educational Consequences of Teen Childbearing.” Demography, vol. 50, issue 6, pp. 2129-2150, 2013.

D. Kneale, A. Fletcher, R. Wiggins and C. Bonell. “Distribution and determinants of risk of teenage motherhood in three British longitudinal studies: implications for targeted prevention interventions.” Journal of Epidemiology and Community Health, vol. 67, issue 1, pp. 48-55, 2013.

V.L. Kristman, M. Manno and P. Côté. “Methods to Account for Attrition in Longitudinal Data: Do They Work? A Simulation Study.” European Journal of Epidemiology, vol. 20, issue 8, pp. 657-662, 2005.

K.M. MacDonald, S. Vancayzeele, A. Deblander and I.L. Abraham. “Longitudinal observational studies to study the efficacy-effectiveness gap in drug therapy: Application to mild and moderate dementia.” Nursing Clinics of North America, vol. 41, issue 1, pp. 105-117, 2006.

D. Magnusson and L.R. Bergman. (Eds.) Data Quality in Longitudinal Research. New York: Cambridge University Press, 1990.

S. Mollborn. “Exploring variation in teenage mothers’ and fathers’ educational attainment.” Perspectives on Sexual and Reproductive Health, vol. 42, issue 3, pp. 152-159, 2010.

S. Mollburn and E. Morningstar. “Investigating the relationship between teenage childbearing and psychological distress using longitudinal evidence. Journal of Health and Social Behaviour, vol. 50, issue 3, pp. 310-326, 2009.

J.T. Newsom. Longitudinal Structural Equation Modelling: A Comprehensive Introduction. New York: Routledge, 2015.

R.E. Ployhart and R.J. Vandenberg. “Longitudinal research: The theory, design and analysis of change.” Journal of Management, vol. 36, issue 1, pp. 94-120, 2010.

F. Rajulton. “The fundamentals of longitudinal research: an overview.” Special Issue on Longitudinal Methodology, Canadian Studies in Population, vol. 28, issue 2, pp.169-185, 2001.

H.T. Reis and C.M. Judd. (Eds). Handbook of Research Methods in Social and Personality Psychology. Cambridge: Cambridge University Press, 2000.

L.M. Rich and S.B. Kim. “Patterns of later life education among teenage mothers.” Gender and Society, vol.13, issue 6, pp. 798-817, 1999.

M. Rosenberg, A. Pettifor, W.C. Miller, H. Thirumurthy, M. Emch, S.A. Afolabi, K. Kahn, M. Collinson and S. Tollman. “Relationship between school dropout and teen pregnancy among rural South African young women.” International Journal of Epidemiology, vol. 44, issue 3, pp. 928 - 936, 2015.

C. Rosengerd, M.G. Phipps, N.E. Adler and J.M. Ellen. “Adolescent pregnancy intentions and pregnancy outcomes: A longitudinal examination.” Journal of Adolescent Health, vol. 35, issue 6, pp. 453-461, 2004.

T. Shefer, D. Bhana and R. Morrell. “Teenage pregnancy and parenting at school in contemporary South African contexts: Deconstructing school narratives and understanding policy implementation.” Perspectives in Education, vol. 31, issue 1, pp. 1-10, 2013.

M.A. Silles. “The effect of schooling on teenage childbearing: evidence using changes in compulsory education laws.” Journal of Population Economics, vol. 24, issue 2, pp. 761-777, 2011.

J.D. Singer and J.B. Willett. Applied longitudinal data analysis: modelling change and event occurrence. New York: Oxford University Press, 2003.

R. Stratford, J. Mulligan, B. Downie and L. Voss. “Threats to validity in the longitudinal study of psychological effects: the case of short stature.” Child: Care, Health and Development, vol. 25, issue 6, pp. 401-409, 1999.

C.T. Street and K.W. Ward. “Improving validity and reliability in longitudinal case study timelines.” European Journal of Information Systems, vol. 21, issue 2, pp. 160-175, 2012.

T.W. Tarris. A Primer in Longitudinal Data Analysis. London: SAGE Publications, 2002.

T.W. Tarris and M.A.J. Kompier. “Cause and effect: Optimising the design of longitudinal studies in occupational health psychology.” Work & Stress, vol. 28, issue 1, pp. 1-8, 2014.

J. Twisk and W. de Vente. “Attrition in longitudinal studies. How to deal with missing data.” Journal of Clinical Epidemiology, vol. 55, issue 4, pp. 329-337, 2002.

L. Warrick, J.B. Christianson, J. Walruff and P.C. Cook. “Educational outcomes in teenage pregnancy and parenting programs: results from a demonstration.” Family Planning Perspectives, vol. 25, issue 4, pp. 148-55, 1993.

C.W. Whitney, B.K. Lind and P.W. Wahl. “Quality assurance and quality control in longitudinal studies.” Epidemiologic Reviews, vol. 20, issue 1, pp. 71-80, 1998.