1995
DOI: 10.1006/obhd.1995.1013
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On Detecting Nonlinear Noncompensatory Judgment Strategies: Comparison of Alternative Regression Models

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Cited by 26 publications
(22 citation statements)
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“…An alternative explanation is that if one of the practices does not reach a perceptual hurdle, it fails to provide the flanking effect needed to achieve synergy. This explanation is consistent with nonlinear models, such as the conjunctive model, which have been formulated to represent hurdles or minimum criteria in a judgment, decision, or evaluation (Elrod et al 2004, Ganzach andCzaczkes 1995). Our study did not focus on identifying perceptual hurdles or explaining what leads an IT professional to perceive that the HRM practices have exceeded their perceptual hurdles.…”
Section: Implications For Researchsupporting
confidence: 54%
“…An alternative explanation is that if one of the practices does not reach a perceptual hurdle, it fails to provide the flanking effect needed to achieve synergy. This explanation is consistent with nonlinear models, such as the conjunctive model, which have been formulated to represent hurdles or minimum criteria in a judgment, decision, or evaluation (Elrod et al 2004, Ganzach andCzaczkes 1995). Our study did not focus on identifying perceptual hurdles or explaining what leads an IT professional to perceive that the HRM practices have exceeded their perceptual hurdles.…”
Section: Implications For Researchsupporting
confidence: 54%
“…This is due to the fact that the typical method of inductive inference in lens modeling is linear regression and correlation. Therefore, while approximations to noncompensatory rules have been constructed (Einhorn, 1970;Ganzach & Czaczkes, 1995), their direct use within the lens model equation has not been investigated.…”
Section: Figure 1 Lens Model With Labeled Statistical Parameters [Frmentioning
confidence: 99%
“…In particular, it may be a good approximation of rank-dependent judgments-judgments in which the weight of a cue depends on its rank vis-a-vis the other cues. Note that while there are configural models that directly represent rank-dependent judgments (e.g., Birnbaum & Stegner, 1979;Ganzach & Czaczkes, 1995), in the presence of multicollinearity, there are statistical advantages for using a multiplicative function (Edwards & Van Harrison, 1993).…”
Section: Naresmentioning
confidence: 99%