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You can do a regression analysis on him.
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The first stressor is not having money, and the second stressor is looking down on illness for so long, not just money...
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Hello, Psychology major. Your problem needs to process data first, and you need to combine several questions into dimensions, and use the dimensions to do Pearson correlation analysis, T-test, analysis of variance, etc. (Nanxin.com SPSS Processing Psychology Questionnaire).
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After the two sets of data are in line with the normal distribution and the homogeneity of the variance, the paired t-test can be used.
If either of the two sets of data does not conform to the normal distribution, then the Wilcoxon test of the two sets of relevant samples is used.
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1. Define three variables, row, column, and frequency variables, pay attention to the gold standard as column variables, and weight the frequency.
2. Descriptive Statistics-CrossTabs, call in the corresponding row and column variables, click the cells button, and select counts:observed; percentage:row, column, and total options, and finally OK is OK.
The ** given by SPSS includes sensitivity and specificity.
Resources. Hope it helps! Liu Deyi Statistical Services.
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You have to find the data yourself.
I do a lot of this kind of data analysis for other people.
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The two are not the same. Generally speaking, the significance of ANOVA will be much higher in the analysis, while the general linear analysis you said is for the main effect, and its significance is a little more affected than ANOVA, so it is also a little lower. However, from the perspective of standardized statistical analysis, when multiple factors are involved, it is generally required to do the main effect first, and then conduct an in-depth analysis of the main effect.
I don't know if my understanding is accurate, but if you throw bricks and lead the way, there will definitely be a master to solve it.
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On the top floor, in fact, it is acceptable.
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Here is the tutorial of SPSS, there are examples, you can refer to them.
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