The appropriateness of a traditional correlational measure of halo error (the difference between dimensional rating intercorrelations and dimensional true score intercorrelations) is reexamined in the context of three causal models of halo error. Mathematical derivations indicate that the traditional correlational measure typically will underestimate halo error in ratings and can suggest no halo error or even "negative" halo error when positive halo error actually occurs. A corrected correlational measure is derived that avoids these problems, and the traditional and corrected measures are compared empirically. Results suggest that use of the traditional correlational measure of halo error be discontinued. Index terms: halo, ...
This study focused on the issue of measurement reliability and its attenuation on correla-tion betwe...
A common set of statistical metrics has been used to summarize the performance of models or measurem...
Hierarchical modeling is becoming increasingly popular in epidemiology, particularly in air pollutio...
Numerous studies reveal that the performance evaluation is done by using more than one measurement o...
It is the purpose of this investigation to quantitatively assess the effect of halo in peer ratings ...
Correlation coefficients are abundantly used in the life sciences. Their use can be limited to simpl...
This study focuses on how the presence or absence of an overall rating item on a performance evaluat...
The halo effect is raters’ undesirable tendency to assign more similar ratings across rating criteri...
• The modules in this presentation provide insight into errors made in performance evaluations and h...
A procedure is presented for the analysis of rating data with correlated intrajudge and uncorrelated...
This paper demonstrates that measurement error can conspire with multicollinearity among explanatory...
This study aimed not only to examine the effect of the objective measure and controllability on subj...
In purchase situations where attribute information is either missing or difficult to judge, a well-k...
We determine the error introduced in a joint halo model analysis of galaxy-galaxy lensing and galaxy...
In Cannon & Cipriani (2022) we contributed to the literature on halo effects in student evaluati...
This study focused on the issue of measurement reliability and its attenuation on correla-tion betwe...
A common set of statistical metrics has been used to summarize the performance of models or measurem...
Hierarchical modeling is becoming increasingly popular in epidemiology, particularly in air pollutio...
Numerous studies reveal that the performance evaluation is done by using more than one measurement o...
It is the purpose of this investigation to quantitatively assess the effect of halo in peer ratings ...
Correlation coefficients are abundantly used in the life sciences. Their use can be limited to simpl...
This study focuses on how the presence or absence of an overall rating item on a performance evaluat...
The halo effect is raters’ undesirable tendency to assign more similar ratings across rating criteri...
• The modules in this presentation provide insight into errors made in performance evaluations and h...
A procedure is presented for the analysis of rating data with correlated intrajudge and uncorrelated...
This paper demonstrates that measurement error can conspire with multicollinearity among explanatory...
This study aimed not only to examine the effect of the objective measure and controllability on subj...
In purchase situations where attribute information is either missing or difficult to judge, a well-k...
We determine the error introduced in a joint halo model analysis of galaxy-galaxy lensing and galaxy...
In Cannon & Cipriani (2022) we contributed to the literature on halo effects in student evaluati...
This study focused on the issue of measurement reliability and its attenuation on correla-tion betwe...
A common set of statistical metrics has been used to summarize the performance of models or measurem...
Hierarchical modeling is becoming increasingly popular in epidemiology, particularly in air pollutio...