2017年5月6日 · If the categories have order, one can use either nominal or ordinal. If the categories do not have order, one must use nominal. When there is order, one should perform model diagnostics to see which of ordinal and nominal is preferred. Although, the ordinal may have better interpretation.

2015年7月4日 · Almost the same is true when nominal or ordinal data are being considered, as any analyses of such data hinge on first counting how many fall into each category and then you can be as quantitative as you like. Pie charts and bar charts, as first encountered in early years, show that, so it is puzzling how many accounts miss this in explanations.

The question about "correlation" measure between a nominal and an ordinal variable is less apparent. The reason of the difficulty is that ordinal scale is, by its nature, more "mystic" or "twisted" than interval or nominal scales. No wonder that statistical analyses specially for ordinal data are relatively poorly formulated so far.

Ordinal vs. ordinal, you may consider Spearman's correlation coefficient. (Analyze > Bivariate) You'd need the check the box "Spearman" in order to get the statsitics. Nominal vs. nominal, probably a chi-square test. (Analyze > Descriptive statistics > Crosstab Put in the variables into row and column, and then click Statistics and check Chi ...

2017年9月2日 · Correlation coefficient between a (non-dichotomous) nominal variable and a numeric (interval) or an ordinal variable (2 answers) Closed 6 years ago . I would be very grateful if you would tell me how I can find the degree of correlation between a nominal dependent variable and an independent ordinal variable.

2018年1月23日 · Ordinal, I suggest, means "can be placed in a definite and repeatable order" and doesn't exclude that order being circular. Evidently it's just a convention to start with January: we all know at least a little about calendars associated with particular religions or say academic, financial and hydrological years.

2020年9月14日 · Ordinal vs. Nominal? Ask Question Asked 4 years, 4 months ago. Modified 4 years, 4 months ago. Viewed 376 ...

The analysis I want to perform is to test the hypothesis that the experimental group performed better then the control group. Therefore I need to establish the correct types, nominal or ordinal, to determine which statistical tests I might run to test the hypothesis. The first variable can take three possible values:

2015年9月8日 · Let's say that the dataset only consists of categorical (i.e. nominal) data and ordinal data (from Likert scales). For 1 nominal vs 1 nominal variable, I use the Fisher Exact Test or the Chi-Square Test of Independence. For 1 nominal vs 1 ordinal variable or vice-versa, I would like to do a non-parametric test, but which one should I use?

2016年5月31日 · IRT fitting certainty quickly decreases as the number of factors grows, which is a problematic side of this approach. IRT is extandible in its own way to incorporate mixed interval+binary+ordinal and possibly nominal variables. Factor scores in approaches (2) and (3) are more difficult to estimate than factor scores in classic FA or in approach ...