REACH Dictionary
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Latent class analysis "identifies unobservable (latent) subgroups within a population based on individuals' responses to multiple observed variables."
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Data analyses
Latent class growth analysis is used to identify distinct classes, or subgroups, in a population. This analysis assumes the growth trajectories within each class are homogenous, as they are assumed to be fixed at zero.
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Data analyses
The latent congruency model is a measurement model designed for organizational research which creates two factors to represent the mean and difference of two interdependent component measures. It can estimate and control for measurement error, provide straightforward ways for examining measurement equivalence, allow for the examination of complex theoretical models, and allow the examination antecedents and consequences of congruence constructs and component measures.
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Data analyses
Latent constructs are abstract variables which cannot be observed or measured directly.
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Study methods and variables
Latent profile analysis can model relationships between three or more variables by identifying groups in a sample with similar patterns of variables.
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Data analyses
Latent transition analysis "is an extension of LCA that uses longitudinal data to identify movement between the subgroups over time."
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Data analyses
The logistic regression model is used to either predict or explain the relationships between independent and dependent variables.
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Data analyses
Longitudinal studies are studies in which researchers collect data on a group of participants over time and examine how the responses change from the introduction of an intervention. This type of study does allow researchers to analyze relationships for causality, as it can take into account other variables that could explain the relationship.
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Study methods and variables