Skip to content
Free planNo credit card requiredStart writing
AI for Research home
AI for Research home
Dashboard
Sign inGet started

article · PubMed · 1997

[Examples of pitfalls in statistical analysis--5: Analysis of a multiple factor model].

O Nagata

Cited by 0Abstract and details only

Abstract

When we analyze the effects of multiple factors, it is inadequate to repeat simple comparisons of the groups divided by a factor. The reasons for this are twofold, i.e., the total error rate of the study grows higher in proportion to the number of comparisons, and we cannot evaluate the relationships between the factors. It is reasonable in such a situation to use multivariate analyses which are developed to analyze multiple factor models, by changing the analytic point of view. In this article, I present an example to illustrate several types of mistakes which occur when we simply compare the two groups divided by one factor for other multiple factors, and explain the evaluation with correlation analysis and factor analysis.

Cite this paper

APA 7

Nagata, O. (1997). [Examples of pitfalls in statistical analysis--5: Analysis of a multiple factor model]. PubMed, 46(1), 42–8.

MLA 9

Nagata, O. “[Examples of pitfalls in statistical analysis--5: Analysis of a multiple factor model].” PubMed, vol. 46, no. 1, 1997, pp. 42–8.

Chicago

Nagata, O. 1997. “[Examples of pitfalls in statistical analysis--5: Analysis of a multiple factor model].” PubMed 46 (1): 42–8.

Harvard

Nagata, O. (1997) ‘[Examples of pitfalls in statistical analysis--5: Analysis of a multiple factor model]’, PubMed, 46(1), pp. 42–8.

BibTeX
@article{nagata1997examples,
  title = {{[Examples of pitfalls in statistical analysis--5: Analysis of a multiple factor model].}},
  author = {Nagata, O},
  journal = {PubMed},
  volume = {46},
  number = {1},
  pages = {42--8},
  year = {1997}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.

Related papers