Analyzing developmental trajectories: A semiparametric, group-based approach

@article{Nagin1999, abstract = {A developmental trajectory describes the course of a behavior over age or time. A group-based method for identifying distinctive groups of individual trajectories within the population and for profiling the characteristics of group members is demonstrated. Such clusters might include groups of "increasers," "decreasers," and "no changers." Suitably defined probability distributions are used to handle 3 data types--count, binary, and psychometric scale data. Four capabilities are demonstrated: (a) the capability to identify rather than assume distinctive groups of trajectories, (b) the capability to estimate the proportion of the population following each such trajectory group, (c) the capability to relate group membership probability to individual characteristics and circumstances, and (d) the capability to use the group membership probabilities for various other purposes such as creating profiles of group members.}, author = {Nagin, Daniel S. }, citeulike-article-id = {3033410}, doi = {http://dx.doi.org/10.1037/1082-989X.4.2.139}, journal = {Psychological Methods}, keywords = {statistics}, month = {June}, number = {2}, pages = {139--157}, posted-at = {2008-07-22 19:52:08}, priority = {0}, title = {Analyzing developmental trajectories: A semiparametric, group-based approach}, url = {http://dx.doi.org/10.1037/1082-989X.4.2.139}, volume = {4}, year = {1999} }

TY - JOUR ID - Nagin1999 L3 - citeulike-article-id:3033410 TI - Analyzing developmental trajectories: A semiparametric, group-based approach JF - Psychological Methods VL - 4 IS - 2 SP - 139 EP - 157 N2 - A developmental trajectory describes the course of a behavior over age or time. A group-based method for identifying distinctive groups of individual trajectories within the population and for profiling the characteristics of group members is demonstrated. Such clusters might include groups of "increasers," "decreasers," and "no changers." Suitably defined probability distributions are used to handle 3 data types--count, binary, and psychometric scale data. Four capabilities are demonstrated: (a) the capability to identify rather than assume distinctive groups of trajectories, (b) the capability to estimate the proportion of the population following each such trajectory group, (c) the capability to relate group membership probability to individual characteristics and circumstances, and (d) the capability to use the group membership probabilities for various other purposes such as creating profiles of group members. KW - statistics AU - Nagin, Daniel PY - 1999/06// UR - http://dx.doi.org/10.1037/1082-989X.4.2.139 ER -