Measurement Scale and Statistical Analysis #
| Measurement Scale | Description | Data Processing Methods | Statistical Analysis Methods |
|---|---|---|---|
| Nominal Scale | No order, only classification | Frequency analysis, Chi-square test | Chi-square test, Contingency table analysis |
| Ordinal Scale | Ordered, but not equidistant | Median, Rank-sum test | Mann-Whitney U test, Rank-sum test |
| Interval Scale | Ordered, equidistant, but no absolute zero | Mean, Standard deviation, Difference analysis | t-test, ANOVA, Correlation analysis |
| Ratio Scale | Ordered, equidistant, and with absolute zero | All mathematical operations, Mean, Standard deviation, Proportions, etc. | t-test, ANOVA, Correlation analysis, Regression analysis |
Summary #
Choosing the appropriate measurement scale is crucial for more accurate statistical analysis in SPSS. By understanding the nature of your data, you can select the most suitable statistical methods for analysis. This ensures the results are reliable and aligned with the scale of measurement, helping to prevent inappropriate assumptions or calculations.
#SPSSLast modified on 2023-12-19