An SAS Macro for Implementing the Modified Bollen-Stine Bootstrap for Missing Data: Implementing the Bootstrap Using Existing Structural Equation Modeling Software

By Craig K. Enders. 2005

85 citations recorded by the source corpus.

Subfields: Food Science, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/be1f7ff7fbefd3a3384b1006b3ec21e7b354edd1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Food Science

1. Liezl-Marié van der Westhuizen
2. Christoph Stöckmann
3. Tobias Kollmann

In Management Science and Operations Research

1. Liezl-Marié van der Westhuizen
2. Christoph Stöckmann
3. Tobias Kollmann

In Statistics and Probability

1. Liezl-Marié van der Westhuizen
2. Christoph Stöckmann
3. Tobias Kollmann

Citations in the corpus

• Filling the Entrepreneurial Orientation–Performance Gap: The Mediating Effects of Exploratory and Exploitative Innovations (2014, methodology): “Therefore, the Bollen–Stine bootstrap has been applied “to correct for the standard error and fit statistic bias [. . .] due to the non-normal data” (Enders, 2005, p. 620).”
• Brand loyalty: Exploring self-brand connection and brand experience (2018, methodology): “Bootstrapping with the bias-corrected confidence interval was used owing to non-normal data to correct for the possible inflation of results (Enders, 2005).”