Cross-Lagged Panel Design: An Overview
Cross-lagged panel designs are a powerful tool for investigating the relationships between variables over time. This type of design is frequently employed in social science research to measure change in relationships between two or more variables over a period of time. In this article, we provide an overview of cross-lagged panel design and the different approaches used to conduct this type of study.
Cross-lagged panel design is a type of longitudinal study in which two or more variables are observed repeatedly across two or more time points. This type of design can be used to examine the relationships between variables over time and to assess the stability of the relationships over a period of time. Generally, cross-lagged panel designs involve the collection of data from a sample of participants at two or more points in time. The data are then used to assess the relationships between the variables over time.
The primary strength of this type of design is that it allows researchers to investigate the relationships between variables over time, as well as the stability of those relationships. This type of design is especially useful when examining the relationship between two or more variables that may change over time. For example, a cross-lagged panel design could be used to study the relationship between stress and academic performance over the course of a semester.
Cross-lagged panel designs can be conducted using different methods. The most common approach is to use a repeated measures design, in which the same sample of participants is studied repeatedly across two or more time points. This type of design is useful for assessing the stability of a relationship over time, as well as for examining changes in the relationship over time. Additionally, panel designs can also be conducted using two independent samples of participants, or a combination of the two.
In conclusion, cross-lagged panel designs are a powerful tool for investigating relationships between variables over time. This type of design is particularly useful when studying relationships that may change over time. The different approaches used to conduct this type of study can be tailored to the particular research question being addressed.
References
Fowler, F.J., Jr., & Leon, J. (2011). Survey research methods (5th ed.). Thousand Oaks, CA: Sage.
Kline, R.B. (2015). Principles and practice of structural equation modeling (4th ed.). New York, NY: Guilford Press.
McCrae, J. (2016). Longitudinal research designs. In H. Cooper (Ed.), APA handbook of research methods in psychology (Vol. 1, pp. 83-99). Washington, DC: American Psychological Association.