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Longitudinal research is generally defined as studies that investigate change over time with the same cohort(s). This definition characterizes four key features of longitudinal research.

First, by change, it means that longitudinal studies focus on a dynamic process rather than a static status as the outcome variable. A process is a series of changes from the initial status to the final status through various intermediate statuses. In a methodological term, one status is often called one wave. Thus, longitudinal studies use multiple waves to represent a process.

Second, by over time, it means that longitudinal studies must include the time dimension as the fundamental predictor. A multiwave process can be considered as a function of time, and various substantive predictors (e.g., gender or IQ scores) can be used to explain the process, as in nonlongitudinal studies.

Third, by with the same cohort(s), it means that longitudinal studies typically measure the same group of individuals (i.e., one cohort) repeatedly over time to examine the intraindividual changes (e.g., each student's reading development) as well as interindividual differences (e.g., gender differences in reading development). In some cases, a longitudinal study repeatedly measures just one same individual (e.g., the single-subject study) or multiple cohorts (e.g., the cohort-sequential study). Longitudinal studies focus on changes within the same cohorts, whereas cross-sectional studies focus on differences across different cohorts.

Fourth, by investigate, it means that longitudinal studies are not limited to repeated measurement or analysis of change over time. Instead, longitudinal design, longitudinal measurement, and longitudinal analysis represent not only the three areas of longitudinal research methodology as an established field of study but also three major phases of a longitudinal study.

Learning, teaching, education, development, intervention, and various psychological processes are essentially intended to produce desirable changes among human beings. Thus, focusing on change over time, longitudinal research can be considered the method of choice for the social and behavioral sciences in general and educational psychology in particular. This entry presents basic methodological issues of longitudinal design, measurement, and analysis and provides real-life examples of empirical longitudinal studies.

Longitudinal Design

Longitudinal design concerns how to collect longitudinal data to address longitudinal research questions. To study children's social development, for instance, Anthony Pellegrini and his collaborators conducted a longitudinal study to examine games (e.g., chanting, chasing, playing balls, jumping rope, clapping) that the first graders played on the school playground. Specifically, they addressed two major research questions: whether there were any changes in games and why these changes occurred. They chose to use a single cohort, a total of 77 students in all first-grade classes from two neighboring schools. They collected three waves of data, mainly observing the change in frequency and variation of these students' games that were played in September, January, and May. They focused their observations on children's games at recess, a good time window to see children's free interactions at school, during their entire first-grade year as their first experience of full-day mandatory schooling in the 1995–1996 school year, with an interval of over 3 months. They found that there was a significant increase in frequency of game activities over the entire year, and this increase was significantly influenced by gender and ethical differences. This example illustrates that at least four specific issues, the question design, cohort design, wave design, and time design, need to be considered carefully in designing a sound longitudinal study.

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