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Related Concept Videos

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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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Published on: July 3, 2020

Analyzing longitudinal data with the linear mixed models procedure in SPSS.

Brady T West1

  • 1University of Michigan-Ann, Arbor, USA. bwest@umich.edu

Evaluation & the Health Professions
|August 15, 2009
PubMed
Summary
This summary is machine-generated.

Applied researchers can analyze longitudinal data using hierarchical linear models (HLMs) in general statistical software like SPSS. This approach avoids the need for specialized software, making advanced statistical analysis more accessible.

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Area of Science:

  • Statistics
  • Applied Research
  • Data Analysis

Background:

  • Many researchers mistakenly believe specialized software is required for hierarchical linear models (HLMs).
  • Traditional methods often necessitate dedicated statistical packages for complex longitudinal data analysis.

Purpose of the Study:

  • To demonstrate that general-purpose statistical software can effectively fit HLMs.
  • To provide a practical guide for analyzing longitudinal data using SPSS's HLM procedure.

Main Methods:

  • Utilizing the Linear Mixed Models (LMMs) procedure within SPSS.
  • Applying LMMs to longitudinal data sets with continuous outcomes.

Main Results:

  • SPSS offers a flexible and powerful procedure for fitting HLMs.
  • Researchers can perform advanced longitudinal data analysis using commonly available software.

Conclusions:

  • Specialized software is not essential for fitting HLMs to longitudinal data.
  • SPSS provides a viable and accessible alternative for researchers analyzing longitudinal data with HLMs.