Most longitudinal studies are plagued by drop-out related to variables at earlier assessments (systematic attrition). Although systematic attrition is often analysed in longitudinal studies, surprisingly few researchers attempt to reduce biases due to systematic attrition, even though this is possible and nowadays technically easy. This is particularly true for studies of stability and the long-term prediction of developmental outcomes. We provide guidelines how to reduce biases in such cases particularly with multiple imputation. Following these guidelines does not require advanced statistical knowledge or special software. We illustrate these guidelines and the importance of reducing biases due to selective attrition with a 25-year longitudinal study on the long-term prediction of aggressiveness and delinquency.
AsendorpfJ. B.DenissenJ. J. A.van AkenM. A. G. (2008). Inhibited and aggressive preschool children at 23 years of age: Personality and social transitions into adulthood. Developmental Psychology, 44, 997–1011.
2.
BaltesP. B.ReeseH. W.NesselroadeJ. R. (1988). Life-span developmental psychology: An introduction to research methods. Hillsdale, NJ: Erlbaum.
3.
CaspiA.MoffittT. E.ThorntonA.FreedmanD.AmellJ. W.HarringtonH.SilvaP. A. (1996). The Life History Calendar: A research and clinical assessment method for collecting retrospective event-history data. International Journal of Methods in Psychiatric Research, 6, 101–114.
4.
CollinsL. M.SchaferJ. L.KamC. M. (2001). A comparison of inclusive and restrictive strategies in modern missing data procedures. Psychological Methods, 6, 330–351.
5.
EndersC. K. (2010). Applied missing data analysis. New York, NY: Guilford Press.
6.
EndersC. K. (2011). Missing not at random models for latent growth curve analyses. Psychological Methods, 16, 1–16.
7.
FraleyR. C.RobertsB. W. (2005). Patterns of continuity: A dynamic model for conceptualizing the stability of individual differences in psychological constructs across the life course. Psychological Review, 112, 60–74.
8.
GöttertR.AsendorpfJ. B. (1989). Eine deutsche Version des California Child Q Sort, Kurzform [A German short version of the California Child Q-Set]. Zeitschrift für Entwicklungspsychologie und Pädagogische Psychologie, 21, 70–82.
9.
GrahamJ. W. (2009). Missing data analysis: Making it work in the real world. Annual Review of Psychology, 60, 549–576.
10.
GrahamJ. W.OlchowskiA. E.GilreathT. D. (2007). How many imputations are really needed? Some practical clarifications of multiple imputation theory. Prevention Science, 8, 206–213.
11.
HardtJ.HerkeM.LeonhartR. (2012). Auxiliary variables in multiple imputation in regression with missing X: A warning against including too many in small sample research. BMC Medical Research Methodology, 12, 184–196.
12.
HoxJ. J. (2010). Multilevel analysis: Techniques and applications (2nd ed.). London, UK: Routledge.
13.
HuttemanR.DenissenJ. J. A.AsendorpfJ. B.van AkenM. A. G. (2009). Changing dynamics in problematic personality: A multiwave longitudinal study of the relationship between shyness and aggressiveness from childhood to early adulthood. Development and Psychopathology, 21, 1083–1094.
14.
LittleJ. A.RubinD. B. (2002). Statistical analysis with missing data (2nd ed.). Hoboken, NJ: John Wiley and Sons.
15.
MarshH. W. (1993). Stability of individual differences in multiwave panel studies: Comparison of simplex models and one-factor models. Journal of Educational Measurement, 30, 157–183.
16.
MoffittT. E. (1993). Adolescence-limited and life-course-persistent antisocial behavior: A developmental taxonomy. Psychological Review, 100, 674–701.
17.
PearsonK. (1903). Mathematical contributions to the theory of evolution: II. On the influence of natural selection on the variability and correlation of organs. Royal Society Philosophical Transactions, 200(Series A), 1–66.
18.
SackettP. R.YangH. (2000). Correction for range restriction: An expanded typology. Journal of Applied Psychology, 85, 112–118.
19.
TremblayR. E. (2000). The development of aggressive behavior during childhood: What have we learned in the past century?International Journal of Behavioral Development, 24, 129–141.
20.
van BurenS. (2012). Flexible imputation of missing data. Boca Raton, FL: CRC Press.
21.
van de SchootR.KaplanD.DenissenJ. J. A.AsendorpfJ. B.NeyerF. J.van AkenM. A. G. (2014). A gentle introduction into Bayesian analysis: Applications to developmental research. Child Development, 85(3), 842–860. doi:10.1111/cdev.12169
22.
WeinbergerD. A.TublinS. K.FordM. E.FeldmanS. S. (1990). Preadolescents’ social-emotional adjustment and selective attrition in family research. Child Development, 61, 1374–1386.
