Evaluating the relative efficiency among robust estimation methods for multilevel factor analysis with categorical data

2021 ◽  
pp. 1-14
Author(s):  
R. Noah Padgett ◽  
Grant B. Morgan
Keyword(s):  
Factor Analysis ◽  
Robust Estimation ◽  
Categorical Data ◽  
Relative Efficiency ◽  
Estimation Methods ◽  
Multilevel Factor Analysis

Self-Reports of Academic Performance: Response Errors Are Not Well Behaved

1981 ◽  
Vol 10 (2) ◽  
pp. 165-185 ◽  
Author(s):  
Lawrence C. Hamilton
Keyword(s):  
College Students ◽  
Data Analysis ◽  
Robust Estimation ◽  
Exploratory Data Analysis ◽  
Estimation Methods ◽  
Self Reports ◽  
Performance Response ◽  
Exploratory Data ◽  
Survey Sample ◽  
Response Errors

Exploratory data analysis (EDA) is used to study errors in self-reports of lest scores and grades from a survey sample of college students. Both response and non-response are found to be systematically biased, with unfortunate effects in combination. Errors are not normally distributed, and would be better modeled as contaminated distributions made up of two or more simple distributions. Errors are correlated with each other and with other variables, leading to spuriously inflated as well as deflated intervariable correlations. These findings may be typical of survey data in general; hence, more realistic error models and robust estimation methods are desirable.

scholarly journals Application of Robust Estimation Methods for the Analysis of Outlier Measurements / Aplikácia Robustných Odhadovacích Metód Pri Analýze Odľahlých Meraní

2011 ◽  
Vol 57 (3) ◽  
pp. 14-29
Author(s):  
Silvia Gašincová ◽  
Juraj Gašinec ◽  
Gabriel Weiss ◽  
Slavomír Labant
Keyword(s):  
Linear Programming ◽  
Least Squares ◽  
Robust Estimation ◽  
Mathematical Analysis ◽  
Physical Environment ◽  
Regression Line ◽  
Measured Data ◽  
Estimation Methods ◽  
Method Of Least Squares ◽  
The Impact

Abstract The basis of mathematical analysis of geodetic measurements is the method of least squares (LSM), whose bicentenary we celebrated in 2006. In geodetic practice, we quite often encounter the phenomenon when outlier measurements penetrate into the set of measured data as a result of e.g. the impact of physical environment. That fact led to modifications of LSM that have been increasingly published mainly in foreign literature in recent years. The mentioned alternative estimation methods are e.g. robust estimation methods and methods in linear programming. The aim of the present paper is to compare LSM with the robust estimation methods on an example of a regression line.

scholarly journals A Comparison of two Robust Estimation Methods for Business Surveys

2016 ◽  
Vol 85 (2) ◽  
pp. 270-289 ◽  
Author(s):  
Robert Graham Clark ◽  
Philip Kokic ◽  
Paul A. Smith
Keyword(s):  
Robust Estimation ◽  
Estimation Methods

Are robust estimation methods useful in the structural errors-in-variables model?

Metrika ◽  
1984 ◽  
Vol 31 (1) ◽  
pp. 33-41 ◽  
Author(s):  
R. H. Ketellapper ◽  
A. E. Ronner
Keyword(s):  
Robust Estimation ◽  
Estimation Methods ◽  
Errors In Variables
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