Jesus Tanguma
Biographic Data
| ID | 9253135 |
|---|---|
| NAME | Jesus Tanguma |
| GIVEN NAMES | Jesus |
| FAMILY NAME | Tanguma |
| SIGNATURE | TANGUMA J |
| AFFILIATIONS | . |
| ORCID | 0000-0002-5089-0545 |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2000 |
| LATEST PUBLICATION YEAR | 2001 |
| H-INDEX | 0 |
Effects of Sample Size on the Distribution of Selected Fit Indices
The purpose of the present study was to investigate the effects of sample size on the cumulative distribution of selected fit indices. Two models (i.e., a reduced and a complete model) and six (20, 50, 100, 200, 500, 1,000) sample sizes were used to investigate the effect on the cumulative distribution of the fit indices as sample size was varied. Generally, the comparative fit index (CFI) exhibited very stable patterns and was less influenced by…
Graphing Cumulative Distribution Functions
This article presents a method for producing graphical displays of cumulative distribution functions. Step-by-step instructions on how to produce these graphs are provided using a concrete example. By following the step-by-step instructions, researchers will be able to produce the plots for themselves using SPSS. Thus, they will have an alternative way to analyze and report their data
No prominent works on this page.
Graphing Cumulative Distribution Functions
This article presents a method for producing graphical displays of cumulative distribution functions. Step-by-step instructions on how to produce these graphs are provided using a concrete example. By following the step-by-step instructions, researchers will be able to produce the plots for themselves using SPSS. Thus, they will have an alternative way to analyze and report their data
Effects of Sample Size on the Distribution of Selected Fit Indices
The purpose of the present study was to investigate the effects of sample size on the cumulative distribution of selected fit indices. Two models (i.e., a reduced and a complete model) and six (20, 50, 100, 200, 500, 1,000) sample sizes were used to investigate the effect on the cumulative distribution of the fit indices as sample size was varied. Generally, the comparative fit index (CFI) exhibited very stable patterns and was less influenced by…
Computer Science (2 works) · Mathematics (2 works) · Statistical Methods and Bayesian Inference (2 works) · Statistics (2 works) · Bayesian Modeling and Causal Inference (1 work) · Chemistry (1 work) · Computer graphics (images) (1 work) · Cumulative distribution function (1 work) · Econometrics (1 work) · Goodness of fit (1 work)