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Getting the most out of family data with the R package fSRM

Lara Stas (UGent) , Felix Schönbrodt and Tom Loeys (UGent)
(2015) JOURNAL OF FAMILY PSYCHOLOGY. 29(2). p.263-275
Author
Organization
Project
G020115N
Abstract
Family research aims to explore family processes, but is often limited to the examination of unidirectional processes. As the behavior of 1 person has consequences that go beyond that individual, family functioning should be investigated in its full complexity. The social relations model (SRM; Kenny & La Voie, 1984) is a conceptual and analytical model that can disentangle family data from a round-robin design at 3 different levels: the individual level (actor and partner effects), the dyadic level (relationship effects), and the family level (family effect). Its statistical complexity may however be a hurdle for family researchers. The user-friendly R package fSRM performs almost automatically those rather complex SRM analyses and introduces new possibilities for assessing differences between SRM means and between SRM variances, both within and between groups of families. Using family data on negative processes, different type of research questions are formulated and corresponding analyses with fSRM are presented.
Keywords
attachment, designs, negativity, adolescents, perceptions, SOCIAL-RELATIONS MODEL, interdependence, social relations model, family research, R software, structural equation model, INTERDEPENDENCE, PERCEPTIONS, ADOLESCENTS, NEGATIVITY, ATTACHMENT, DESIGNS

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Citation

Please use this url to cite or link to this publication:

MLA
Stas, Lara, Felix Schönbrodt, and Tom Loeys. “Getting the Most Out of Family Data with the R Package fSRM.” JOURNAL OF FAMILY PSYCHOLOGY 29.2 (2015): 263–275. Print.
APA
Stas, L., Schönbrodt, F., & Loeys, T. (2015). Getting the most out of family data with the R package fSRM. JOURNAL OF FAMILY PSYCHOLOGY, 29(2), 263–275.
Chicago author-date
Stas, Lara, Felix Schönbrodt, and Tom Loeys. 2015. “Getting the Most Out of Family Data with the R Package fSRM.” Journal of Family Psychology 29 (2): 263–275.
Chicago author-date (all authors)
Stas, Lara, Felix Schönbrodt, and Tom Loeys. 2015. “Getting the Most Out of Family Data with the R Package fSRM.” Journal of Family Psychology 29 (2): 263–275.
Vancouver
1.
Stas L, Schönbrodt F, Loeys T. Getting the most out of family data with the R package fSRM. JOURNAL OF FAMILY PSYCHOLOGY. 2015;29(2):263–75.
IEEE
[1]
L. Stas, F. Schönbrodt, and T. Loeys, “Getting the most out of family data with the R package fSRM,” JOURNAL OF FAMILY PSYCHOLOGY, vol. 29, no. 2, pp. 263–275, 2015.
@article{5944916,
  abstract     = {Family research aims to explore family processes, but is often limited to the examination of unidirectional processes. As the behavior of 1 person has consequences that go beyond that individual, family functioning should be investigated in its full complexity. The social relations model (SRM; Kenny & La Voie, 1984) is a conceptual and analytical model that can disentangle family data from a round-robin
design at 3 different levels: the individual level (actor and partner effects), the dyadic level (relationship effects), and the family level (family effect). Its statistical complexity may however be a hurdle for family researchers. The user-friendly R package fSRM performs almost automatically those rather complex SRM analyses and introduces new possibilities for assessing differences between SRM means and between SRM variances, both within and between groups of families. Using family data on negative processes, different type of research questions are formulated and corresponding analyses with fSRM are presented.},
  author       = {Stas, Lara and Schönbrodt, Felix and Loeys, Tom},
  issn         = {0893-3200},
  journal      = {JOURNAL OF FAMILY PSYCHOLOGY},
  keywords     = {attachment,designs,negativity,adolescents,perceptions,SOCIAL-RELATIONS MODEL,interdependence,social relations model,family research,R software,structural equation model,INTERDEPENDENCE,PERCEPTIONS,ADOLESCENTS,NEGATIVITY,ATTACHMENT,DESIGNS},
  language     = {eng},
  number       = {2},
  pages        = {263--275},
  title        = {Getting the most out of family data with the R package fSRM},
  url          = {http://dx.doi.org/10.1037/fam0000058},
  volume       = {29},
  year         = {2015},
}
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