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| * [[Statistics/PearsonTest|Pearson test]] | * [[Statistics/PearsonsChiSquaredTest|Pearson's chi-squared test]] |
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| * [[Statistics/GeneralizedEstimatingEquation|Generalized estimating equation]] * [[Statistics/GeneralizedLeastSquares|Generalized least squares]] |
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| * [[Statistics/PooledOrdinaryLeastSquaresModel|Pooled OLS model]] | |
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| * [[Statistics/UnexpectedEventDuringSurveyDesignFramework|Unexpected event during survey design framework]] | |
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| * [[LatentVariableModelingInHeterogeneousPopulations|Latent Variable Modeling in Heterogeneous Populations]], Bengt O. Muthén, 1989 | |
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| * [[MultilevelCovarianceStructureAnalysis|Multilevel Covariance Structure Analysis]], Bengt O. Muthén, 1994 | |
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| * [[HierarchicalLinearModels|Hierarchical Linear Models: Applications and Data Analysis Methods]], Stephen W. Raudenbush and Anthony S. Bryk, 2002 | |
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| * [[TheCalibrationApproachInSurveyTheoryAndPractice|The calibration approach in survey theory and practice]], Carl-Erik Särndal, 2007 | |
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| * [[RespondentUseOfStraightliningAsAResponseStrategyInEducationSurveyResearch|Respondent use of straight-lining as a response strategy in education survey research: Prevalence and implications]]; James S. Cole, Alexander C. Mc``Cormick, Robert M. Gonyea; 2012 | |
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| * [[StraitliningInWebSurveyPanelsOverTime|Straightlining in Web survey panels over time]], Matthias Schonlau and Vera Toepoel, 2015 | |
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| * [[UnexpectedEventDuringSurveyDesign|Unexpected Event during Surveys Design: Promise and Pitfalls for Causal Inference]]; Jordi Muñoz, Albert Falcó-Gimeno, and Enrique Hernández; 2020 | |
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| * [[InvitationLettersIncreaseResponseRatesInEliteSurveys|Invitation Letters Increase Response Rates in Elite Surveys: Evidence from Germany and the United Kingdom]], Nathalie Giger and Miguel M. Pereira, 2025 |
Statistics
A branch of mathematics.
Foundations
Probability
Probability distributions
Probability tests
Samples
Prediction
Modeling
Panel modeling
Non-parametric modeling
Analysis
Survey analysis
Natural language processing
Reading Notes
Measurement Error Models, Wayne A. Fuller, 1987
Latent Variable Modeling in Heterogeneous Populations, Bengt O. Muthén, 1989
The Effect of Weight Trimming on Nonlinear Survey Estimates, Frank J. Potter, 1993
Evidence on the Validity of Cross-sectional and Longitudinal Labor Market Data, John Bound, Charles Brown, Greg J. Duncan, and Willard L. Rodgers, 1994
Sampling Weights and Regression Analysis, Christopher Winship and Larry Radbill, 1994
Multilevel Covariance Structure Analysis, Bengt O. Muthén, 1994
Improving on Probability Weighting for Household Size, Andrew Gelman and Thomas C. Little, 1998
Statistical Modeling: The Two Cultures, Leo Breiman, 2001
Hierarchical Linear Models: Applications and Data Analysis Methods, Stephen W. Raudenbush and Anthony S. Bryk, 2002
Ascertaining the validity of individual protocols from Web-based personality inventories, John A. Johnson, 2004
Struggles with Survey Weighting and Regression Modeling, Andrew Gelman, 2007
The calibration approach in survey theory and practice, Carl-Erik Särndal, 2007
Identifying Careless Responses in Survey Data, Andrew Meade, S. Bartholomew Craig, 2012
Respondent use of straight-lining as a response strategy in education survey research: Prevalence and implications; James S. Cole, Alexander C. McCormick, Robert M. Gonyea; 2012
Estimating Measurement Error in Annual Job Earnings, John M. Abowd and Martha H. Stinson, 2013
How Robust Standard Errors Expose Methodological Problems They Do Not Fix, and What to Do About It, Gary King and Margaret E. Roberts, 2015
Straightlining in Web survey panels over time, Matthias Schonlau and Vera Toepoel, 2015
Sampling-based vs. Design-based Uncertainty in Regression Analysis; Alberto Abadie, Susan Athey, Guido W. Imbens, and Jeffrey M. Wooldridge; 2017
When Should You Adjust Standard Errors for Clustering?; Alberto Abadie, Susan Athey, Guido W. Imbens, and Jeffrey M. Wooldridge; 2017
Regression and Other Stories, Andrew Gelman, Jennifer Hill, and Aki Vehtari, 2020
Unexpected Event during Surveys Design: Promise and Pitfalls for Causal Inference; Jordi Muñoz, Albert Falcó-Gimeno, and Enrique Hernández; 2020
The Independent Contractor Workforce: New Evidence on Its Size and Composition and Ways to Improve Its Measurement in Household Surveys; Katharine G. Abraham, Brad J. Hershbein, Susan N. Houseman, and Beth C. Truesdale; 2023
The effect of online interviews on the University of Michigan Survey of Consumer Sentiment, Ryan Cummings and Ernie Tedeschi, 2024
Measurement error when surveying issue positions: a MultiTrait MultiError approach; Kim Backström, Alexandru Cernat, Rasmus Sirén, and Peter Söderlund; 2025
Invitation Letters Increase Response Rates in Elite Surveys: Evidence from Germany and the United Kingdom, Nathalie Giger and Miguel M. Pereira, 2025