Hello everyone!
This is the Yinaoyun scientific research circle, I am sister Miaojun~
Are you still having headaches analyzing experimental data? Are you still suffering from not knowing how to choose the appropriate model to analyze the data?
In this issue, we will bring you a practical tutorial on using SPSS software for advanced statistical analysis~
The content of the first issue includes: descriptive statistics form template, chi-square & T test, correlation & regression analysis, etc.
1 Descriptive statistics table template
2 Whether there is a significant difference between the two: chi-square & T test
1. Chi-square test (categorical data)
1.1 Raw data
1) Spss operation
2) Interpretation of Spss results
1.2 Frequency table
1) Spss operation
2) Interpretation of Spss results
3) Report [Chi-square, p-value]
Chi-square test results show that there is no significant difference in curative effect between the experimental group and the control group, X 2 =0.84 (p=0.361), indicating that this experimental study antidepressants have no effect.
2. Independent sample t-test
1) Spss operation
2) Interpretation of Spss results
Independent sample test: Levine variance equality test: p<0.05 indicates that the variance is not uniform, see the second line; p<span="">>0.05 indicates that the variance is equal, see the first OK.
3) Report [M, SD, t(df), p, cohens' d]
An independent sample t-test was conducted on whether there were gender differences in the satisfaction levels of the five dimensions, and it was found that there were gender differences in price satisfaction and item quality satisfaction, and the price satisfaction of men (M=3.17, SD=1.25) was higher than that of Women (M=2.78, SD=1.24), t(580)=3.61, p<0.001, Cohen's d=0.31; Men's item quality satisfaction (M=3.22, SD=1.37) was significantly higher than women's item satisfaction (M=2.88, SD=1.40), t(580)=2.81, p=0.005, Cohen's d=0.24.
There was no gender difference in category satisfaction, organization satisfaction and service satisfaction (t(580)=0.69, p=0.490, Cohen's d=0.06; t(580)=-0.63, p=0.529, Cohen's d= -0.05; t(580)=-0.21, p=0.831, Cohen's d=-0.02).
3. Related samples t-test
1) Spss operation
2) Interpretation of Spss results
3) Report [M, SD, t(df), P, Cohen'sd]
The sales skills of the subjects in Group 1 and Group 2 were significantly improved before and after participating in the sales training (M11=63.95, SD=13.53; M12=71.65, SD=14.52, t(19)=-4.15, p=0.001 , Cohen's d=-0.93; M21=73.57, SD=10.61; M22=83.45, SD=9.21, t(19)=-3.85, p=0.001, Cohen's d=-0.86); indicating group 1, group 2 The training has achieved certain results. However, the sales skills of the third group did not improve significantly after participating in the sales training, t(19)=-2.03, p=0.057, Cohen's d=-0.45.
3 Correlation & Regression
1. Related
1.1 Bivariate correlation
1) Spss operation
2) Interpretation of Spss results
3) Report [correlation matrix = M, SD, r, p]
1.2 Partial correlation
2. Linear regression
1) Spss operation
2) Interpretation of Spss results
3) Report [B, SE, β, p, ΔR 2 , F and t are also available]
Hierarchical regression analysis was performed on the existing data, with job satisfaction as the predicted variable and intimacy and social support as the predictors. Considering that gender is significantly related to job satisfaction and may have an impact on job satisfaction, gender is used as a control variable.
Table 2 shows that in the case of controlling the first layer of variables, intimacy can significantly negatively predict job satisfaction (β=-0.24, p<0.01); social support (β=0.22, p<0.01) can significantly positively predict To predict job satisfaction.
This is the end of the content of this issue~
In this issue, we introduce the descriptive statistics table template and how to use SPSS software for chi-square & T test, correlation & regression analysis, etc. In the next issue, we will continue to introduce how to perform mediation, adjustment, mediation adjustment and variance analysis.
For more information, welcome to pay attention to us~
See you next time!
Author | Peng Peng
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Proofreading｜Blue Eucalyptus Miaojun Sister