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Understanding relative and absolute change in discontinuous growth models : coding alternatives and implications for hypothesis testing

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Abstract
Organizational researchers routinely have access to repeated measures from numerous time periods punctuated by one or more discontinuities. Discontinuities may be planned, such as when a researcher introduces an unexpected change in the context of a skill acquisition task. Alternatively, discontinuities may be unplanned, such as when a natural disaster or economic event occurs during an ongoing data collection. In this article, we build off the basic discontinuous growth model and illustrate how alternative specifications of time-related variables allow one to examine relative versus absolute change in transition and post-transition slopes. Our examples focus on interpreting time-varying covariates in a variety of situations (multiple discontinuities, linear and quadratic models, and models where discontinuities occur at different times). We show that the ability to test relative and absolute differences provides a high degree of precision in terms of specifying and testing hypotheses.
Keywords
COGNITIVE-ABILITY, SLEEP RESTRICTION, ADAPTATION, TIME, PRODUCTIVITY, ACQUISITIONS, SATISFACTION, PERFORMANCE, ADJUSTMENT, RECOVERY, change, multilevel models, mixed-effects models, discontinuity, events

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MLA
Bliese, Paul D, and Jonas Lang. “Understanding Relative and Absolute Change in Discontinuous Growth Models : Coding Alternatives and Implications for Hypothesis Testing.” ORGANIZATIONAL RESEARCH METHODS 19.4 (2016): 562–592. Print.
APA
Bliese, P. D., & Lang, J. (2016). Understanding relative and absolute change in discontinuous growth models : coding alternatives and implications for hypothesis testing. ORGANIZATIONAL RESEARCH METHODS, 19(4), 562–592.
Chicago author-date
Bliese, Paul D, and Jonas Lang. 2016. “Understanding Relative and Absolute Change in Discontinuous Growth Models : Coding Alternatives and Implications for Hypothesis Testing.” Organizational Research Methods 19 (4): 562–592.
Chicago author-date (all authors)
Bliese, Paul D, and Jonas Lang. 2016. “Understanding Relative and Absolute Change in Discontinuous Growth Models : Coding Alternatives and Implications for Hypothesis Testing.” Organizational Research Methods 19 (4): 562–592.
Vancouver
1.
Bliese PD, Lang J. Understanding relative and absolute change in discontinuous growth models : coding alternatives and implications for hypothesis testing. ORGANIZATIONAL RESEARCH METHODS. Thousand oaks: Sage Publications Inc; 2016;19(4):562–92.
IEEE
[1]
P. D. Bliese and J. Lang, “Understanding relative and absolute change in discontinuous growth models : coding alternatives and implications for hypothesis testing,” ORGANIZATIONAL RESEARCH METHODS, vol. 19, no. 4, pp. 562–592, 2016.
@article{8511298,
  abstract     = {Organizational researchers routinely have access to repeated measures from numerous time periods punctuated by one or more discontinuities. Discontinuities may be planned, such as when a researcher introduces an unexpected change in the context of a skill acquisition task. Alternatively, discontinuities may be unplanned, such as when a natural disaster or economic event occurs during an ongoing data collection. In this article, we build off the basic discontinuous growth model and illustrate how alternative specifications of time-related variables allow one to examine relative versus absolute change in transition and post-transition slopes. Our examples focus on interpreting time-varying covariates in a variety of situations (multiple discontinuities, linear and quadratic models, and models where discontinuities occur at different times). We show that the ability to test relative and absolute differences provides a high degree of precision in terms of specifying and testing hypotheses.},
  author       = {Bliese, Paul D and Lang, Jonas},
  issn         = {1094-4281},
  journal      = {ORGANIZATIONAL RESEARCH METHODS},
  keywords     = {COGNITIVE-ABILITY,SLEEP RESTRICTION,ADAPTATION,TIME,PRODUCTIVITY,ACQUISITIONS,SATISFACTION,PERFORMANCE,ADJUSTMENT,RECOVERY,change,multilevel models,mixed-effects models,discontinuity,events},
  language     = {eng},
  number       = {4},
  pages        = {562--592},
  publisher    = {Sage Publications Inc},
  title        = {Understanding relative and absolute change in discontinuous growth models : coding alternatives and implications for hypothesis testing},
  url          = {http://dx.doi.org/10.1177/1094428116633502},
  volume       = {19},
  year         = {2016},
}

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