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The too little/too much scale : a new rating format for detecting curvilinear effects

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Keywords
JOB-PERFORMANCE, IDEAL POINT, INVERTED U, SELF, MODEL, LEADERSHIP, ADVANTAGE, DOMINANCE, TURNOVER, BEHAVIOR

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Citation

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

MLA
Vergauwe, Jasmine et al. “ The Too Little/too Much Scale : a New Rating Format for Detecting Curvilinear Effects.” ORGANIZATIONAL RESEARCH METHODS 20.3 (2017): 518–544. Print.
APA
Vergauwe, J., Wille, B., Hofmans, J., Kaiser, R. B., & De Fruyt, F. (2017). The too little/too much scale : a new rating format for detecting curvilinear effects. ORGANIZATIONAL RESEARCH METHODS, 20(3), 518–544.
Chicago author-date
Vergauwe, Jasmine, Bart Wille, Joeri Hofmans, Robert B. Kaiser, and Filip De Fruyt. 2017. “ The Too Little/too Much Scale : a New Rating Format for Detecting Curvilinear Effects.” Organizational Research Methods 20 (3): 518–544.
Chicago author-date (all authors)
Vergauwe, Jasmine, Bart Wille, Joeri Hofmans, Robert B. Kaiser, and Filip De Fruyt. 2017. “ The Too Little/too Much Scale : a New Rating Format for Detecting Curvilinear Effects.” Organizational Research Methods 20 (3): 518–544.
Vancouver
1.
Vergauwe J, Wille B, Hofmans J, Kaiser RB, De Fruyt F. The too little/too much scale : a new rating format for detecting curvilinear effects. ORGANIZATIONAL RESEARCH METHODS. SAGE; 2017;20(3):518–44.
IEEE
[1]
J. Vergauwe, B. Wille, J. Hofmans, R. B. Kaiser, and F. De Fruyt, “ The too little/too much scale : a new rating format for detecting curvilinear effects,” ORGANIZATIONAL RESEARCH METHODS, vol. 20, no. 3, pp. 518–544, 2017.
@article{8524687,
  author       = {Vergauwe, Jasmine and Wille, Bart and Hofmans, Joeri and Kaiser, Robert B. and De Fruyt, Filip},
  issn         = {1094-4281},
  journal      = {ORGANIZATIONAL RESEARCH METHODS},
  keywords     = {JOB-PERFORMANCE,IDEAL POINT,INVERTED U,SELF,MODEL,LEADERSHIP,ADVANTAGE,DOMINANCE,TURNOVER,BEHAVIOR},
  language     = {eng},
  number       = {3},
  pages        = {518--544},
  publisher    = {SAGE},
  title        = { The too little/too much scale : a new rating format for detecting curvilinear effects},
  url          = {http://dx.doi.org/10.1177/1094428117706534},
  volume       = {20},
  year         = {2017},
}

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