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Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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Two-part mixed-effects location scale models.

Shelley A Blozis1, Melissa McTernan2, Jeffrey R Harring3

  • 1Department of Psychology, University of California, Davis, CA, USA. sablozis@ucdavis.edu.

Behavior Research Methods
|February 12, 2020
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Summary

This study introduces two-part mixed-effects models to analyze complex longitudinal time use data. These models effectively capture individual differences in engaging in behaviors like leisure activities.

Keywords:
daily diary dataleisure activitiessemicontinuous datatime use data

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Area of Science:

  • Behavioral Science
  • Statistics
  • Psychology

Background:

  • Longitudinal time use data present analytical challenges due to a high number of zero responses and continuous positive time use.
  • Semicontinuous data, characterized by zeros and positive continuous values, require specialized statistical approaches.
  • Existing cross-sectional two-part models effectively analyze time use but do not fully address longitudinal complexities.

Purpose of the Study:

  • To present and apply two-part mixed-effects models for analyzing longitudinal semicontinuous time use data.
  • To address the complexities of within- and between-individual differences in time use behaviors.
  • To study individual variations in time spent on leisure activities using daily diary data.

Main Methods:

  • Utilized two-part mixed-effects models to analyze longitudinal semicontinuous time use data.
  • Applied models to daily diary data from an adult sample.
  • Simultaneously modeled the decision to engage in an activity and the time spent conditional on engagement.

Main Results:

  • The models successfully addressed the challenges of semicontinuous longitudinal data, including excess zeros and correlated repeated measures.
  • Demonstrated the ability to study heterogeneity in time use behaviors both between and within individuals.
  • Provided insights into individual differences in time spent on relaxing or leisure activities.

Conclusions:

  • Two-part mixed-effects models are a robust statistical framework for analyzing longitudinal time use data.
  • These models offer a powerful approach to understanding individual differences in behavioral patterns over time.
  • The application to leisure activities highlights the utility of these models in behavioral research.