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1 Αυγ 2021 · An outlier is a data value that is so unlike other values in the sample that ignoring it can lead to significantly incorrect estimates (Chambers, Hentges, & Zhao, 2004). Outliers have the potential to exert a disproportionately large influence on a statistical analysis (i.e., high leverage).
- So Many Ways for Assessing Outliers
Proper outlier identification and handling are important...
- Causes of Disruption to Franchise Operations
1.. IntroductionMuch of the early franchising literature was...
- Tests of The Generalizability of Altman's Bankruptcy Prediction Model
Altman (1968) developed his well-known Z-score model using a...
- Instructional Manipulation Checks
One theory that has addressed this problem is Krosnick’s...
- So Many Ways for Assessing Outliers
14 Ιαν 2013 · Our article provides specific guidelines regarding how to define, identify, and handle outliers within the context of the three most popular data-analytic techniques in organizational science research.
30 Ιουν 2010 · Outliers are observations or measures that are suspicious because they are much smaller or much larger than the vast majority of the observations. These observations are problematic because...
1 Ιαν 2004 · The goal of this paper is to summarize the various potential causes of extreme scores in a data set (e.g., data recording or entry errors, motivated mis-reporting, sampling errors, and...
1 Νοε 2020 · Outlier detection is the process of detecting outliers in a data set, usually used in the preprocessing phase of data analytic. The detection of potential outliers could be very important for several reasons.
14 Ιαν 2013 · The presence of outliers, which are data points that deviate markedly from others, is one of the most enduring and pervasive methodological challenges in organizational science research. We provide evidence that different ways of defining, identifying, and handling outliers alter substantive research conclusions.
1 Απρ 2013 · The presence of outliers, which are data points that deviate markedly from others, is one of the most enduring and pervasive methodological challenges in organizational science research. We...
