节作者：Rebecca Vederhus, Sebastian Jentschke

From SPSS to jamovi: Correlation

This comparison shows how a point-biserial correlation is conducted in SPSS and jamovi. The SPSS test follows the description in chapter 8.4.5 in Field (2017), especially output 8.4. It uses the data set Roaming cats.sav which can be downloaded from the web page accompanying the book.
SPSS jamovi
In SPSS you can run a correlation using: Analyze → Correlate → Bivariate. In jamovi you do this using: Analyses → Regression → Correlation Matrix.
SPSS_Menu_corr4 jamovi_Menu_corr4
In SPSS, move the variables Time `` and ``Sex to the variable box Variables. Then, tick Pearson under Correlation Coefficients. In jamovi, move the variables Time and Sex into the box on the right. Tick Pearson under Correlation Coefficients and Report significance, Flag significant correlations and N under Additional Options.
SPSS_Input_corr4 jamovi_Input_corr4
The results are the same in SPSS and in jamovi.
SPSS_Output_corr4 jamovi_Output_corr4
In SPSS, you can tell if a correlation is significant by noting the amount of asterisks after the correlation coefficient. The correlation matrix shows the correlation coefficient, the p-value, and the sample size (N). In jamovi, significant correlations are flagged using one (p < .05), two (p < .01) or three (p < .001) asterisks. This differs from SPSS, where all correlation above p < .01 level is simply marked using two instead of three asterisks.
The correlation coefficient is found both underneath and over the diagonal in SPSS, while in jamovi the coefficient is only shown underneath. The numerical values for the statistics are identical: r = 0.38, p < .01.
If you wish to replicate those analyses using syntax, you can use the commands below (in jamovi, just copy to code below to Rj). Alternatively, you can download the SPSS output files and the jamovi files with the analyses from below the syntax. 
CORRELATIONS
  /VARIABLES=Time Sex
  /PRINT=TWOTAIL NOSIG FULL
  /MISSING=PAIRWISE.

jmv::corrMatrix(
    data = data,
    vars = vars(Time, Sex),
    flag = TRUE,
    n = TRUE)
SPSS output file containing the analyses jamovi file containing the analyses
References
Field, A. (2017). Discovering statistics using IBM SPSS statistics (5th ed.). SAGE Publications. https://edge.sagepub.com/field5e