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How to plot growth curves based on SPSS output? Illustrations based on a study on adolescent development

  • Cecilia M.S. Ma und Daniel T.L. Shek EMAIL logo
Veröffentlicht/Copyright: 17. April 2014
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International Journal on Disability and Human Development
Aus der Zeitschrift International Journal on Disability and Human Development Band 13 Heft 2

Abstract

Individual growth curve (IGC) analyses are often used to examine growth curves of participants under different conditions, such as differences in the growth trajectories in an experimental group and a control group. Although researchers can use Linear Mixed Models (LMM) in SPSS to conduct IGC analyses, growth curves are not automatically generated from SPSS output, and researchers have to plot growth curves based on the information derived from the SPSS output. To facilitate the plotting of individual growth curves to aid the interpretation of LMM results, an EXCEL program was written by the researchers. Examples and step-by-step illustrations are presented in the paper regarding how to use this EXCEL program to plot growth curves based on the SPSS output.

Keywords: human development; individual growth curve modeling; linear mixed methods; SPSS
Corresponding author: Professor Daniel T.L. Shek, PhD, FHKPS, BBS, JP, Chair Professor of Applied Social Sciences, Faculty of Health and Social Sciences, Department of Applied Social Sciences, The Hong Kong Polytechnic University, Room HJ407, Core H, Hunghom, Hong Kong, P.R. China, E-mail:

Acknowledgments

The preparation of this paper and the Project P.A.T.H.S. were financially supported by The Hong Kong Jockey Club Charities Trust. The authorship is carried equally between the first and second authors.

References

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Received: 2013-1-1
Accepted: 2013-2-4
Published Online: 2014-4-17
Published in Print: 2014-5-1

©2014 by Walter de Gruyter Berlin/Boston

Artikel in diesem Heft

  1. Frontmatter
  2. Editorial
  3. Statistical analyses in human development research
  4. Reviews
  5. Use of structural equation modeling in human development research
  6. Application of SPSS linear mixed methods to adolescent development research: basic concepts and steps
  7. How to plot growth curves based on SPSS output? Illustrations based on a study on adolescent development
  8. Confirmatory factor analysis using AMOS: a demonstration
  9. Testing factorial invariance across groups: an illustration using AMOS
  10. The use of confirmatory factor analyses in adolescent research: Project P.A.T.H.S. in Hong Kong
  11. Family functioning, positive youth development, and internet addiction in junior secondary school students: structural equation modeling using AMOS
  12. Original Articles
  13. Using structural equation modeling to examine consumption of pornographic materials in Chinese adolescents in Hong Kong
  14. Intention to engage in sexual behavior: influence of family functioning and positive youth development over time
  15. Objective outcome evaluation of a positive youth development program in China
  16. Subjective outcome evaluation of the training program of the project P.A.T.H.S.: findings based on the revised training program
  17. Subjective outcome evaluation of a positive youth development program in China
  18. The Chinese Adolescent Materialism Scale: psychometric properties and normative profiles
  19. The Chinese Adolescent Egocentrism Scale: psychometric properties and normative profiles
https://doi.org/10.1515/ijdhd-2014-0304
Schlagwörter für diesen Artikel
human development; individual growth curve modeling; linear mixed methods; SPSS

Artikel in diesem Heft

  1. Frontmatter
  2. Editorial
  3. Statistical analyses in human development research
  4. Reviews
  5. Use of structural equation modeling in human development research
  6. Application of SPSS linear mixed methods to adolescent development research: basic concepts and steps
  7. How to plot growth curves based on SPSS output? Illustrations based on a study on adolescent development
  8. Confirmatory factor analysis using AMOS: a demonstration
  9. Testing factorial invariance across groups: an illustration using AMOS
  10. The use of confirmatory factor analyses in adolescent research: Project P.A.T.H.S. in Hong Kong
  11. Family functioning, positive youth development, and internet addiction in junior secondary school students: structural equation modeling using AMOS
  12. Original Articles
  13. Using structural equation modeling to examine consumption of pornographic materials in Chinese adolescents in Hong Kong
  14. Intention to engage in sexual behavior: influence of family functioning and positive youth development over time
  15. Objective outcome evaluation of a positive youth development program in China
  16. Subjective outcome evaluation of the training program of the project P.A.T.H.S.: findings based on the revised training program
  17. Subjective outcome evaluation of a positive youth development program in China
  18. The Chinese Adolescent Materialism Scale: psychometric properties and normative profiles
  19. The Chinese Adolescent Egocentrism Scale: psychometric properties and normative profiles
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