Bootstrapped Confidence Intervals as an Approach to Statistical Inference
By Michael Wood. 2005
185 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/4c497dce5f4a300a164128c879811f5084c00fd3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Christian Nitzl
- Matt C. Howard
- M. Harvey
- Francis L. Huang
- F. Marmolejo‐Ramos
- Andrew F. Hayes
- Joseph F. Hair
- Joerg Evermann
In Statistics and Probability
- Andrew F. Hayes
- Kristopher J Preacher
- Christian Nitzl
- M. Harvey
- Francis L. Huang
- F. Marmolejo‐Ramos
- Matt C. Howard
- Joseph F. Hair
Citations in the corpus
- Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models (2008, background): “bootstrapping, see Mooney and Duval (1993) and Wood (2005) .”
- A Demonstration of a Systematic Item-Reduction Approach Using Structural Equation Modeling (2012, background): “Narrow bandwidths for most of the items suggest a high level of reliability in the original model data (Sturgis, 2005; Wood, 2005).”
- The shifting boxplot. A boxplot based on essential summary statistics around the mean. (2010, methodology): “…of CI boot is a computer-intensive method and accurate results depend ultimately on the quality of the available data set (see Efron, 1988; Wood, 2005) One of the existent CI boot is called bias-corrected and accelerated CI (here CI BCa ) which incorporates a bias constant and an…”
- A Critical Examination of Common Beliefs About Partial Least Squares Path Modeling (2013, methodology): “The use of bootstrapped confidence intervals (Wood, 2005) is an alternative to NHST for statistical inference.”
- Multilevel Modeling and Ordinary Least Squares Regression: How Comparable Are They? (2018, methodology): “Some commonly used alternative procedures include cluster robust adjustments (Cameron & Miller, 2015), Taylor series linearization (Huang, 2014; Rust, 1985), design effect adjustments (Hahs-Vaughn, 2005), and bootstrapped confidence intervals (Efron & Tibshirani, 1986; Huang, 2016b; Wood, 2005).”
- Are ‘Qualitative’ and ‘Quantitative’ Useful Terms for Describing Research? (2010, unknown): “…to statistics is always a null hypothesis, but there are very strong arguments against null hypothesis testing in many contexts (e.g. Lindsay, 1995; Mingers, 2006; Morrison and Henkel, 1970; Wood, 2003; Wood, 2005; Wood, 2009) (One of these arguments is explained above in relation to Example 1.)”
- Assessing measurement model quality in PLS-SEM using confirmatory composite analysis (2020, methodology): “Alternatively, Wood (2005) introduced the use of confidence intervals with PLS-SEM.”