![]() The answer has to do with our sample size (see the figure for N, above). How can a very weak correlation be highly significant? How is it possible to be so confident that such a weak correlation is real? 05, which means that our correlation is highly significant, not just a function of random sampling error, etc. We’re also interested in the 2-tailed significance value – which in this case is <. The more time that people spend doing the test, the better they’re likely to do, but the effect is very small. 094 indicates a very weak positive correlation. 0 means there is no linear correlation at all. Pearson’s r varies between +1 and -1, where +1 is a perfect positive correlation, and -1 is a perfect negative correlation. That’s the Pearson Correlation figure (inside the square red box, above), which in this case is. The first is the value of Pearson’ r – i.e., the correlation coefficient. We’re interested in two parts of the result. This means, in effect, you get two results for the price of one, because you get the correlation coefficient of Score and Time Elapsed, and the correlation coefficient of Time Elapsed and Score (which is the same result, obviously). The first thing you might notice about the result is that it is a 2×2 matrix. You can also select “Flag significant correlations”, though this is just optional. The other thing is to ensure that “Pearson” is selected under Correlation Coefficients. You can do this by dragging and dropping (or using the arrow button in the middle). The first is to move the two variables of interest (i.e., the two variables you want to see whether they are correlated) into the Variables box on the right. There are two things you’ve got to get done here. This will bring up the Bivariate Correlations dialog box. To start, click on Analyze -> Correlate -> Bivariate. Pearson’s correlation coefficient will help us to answer this question. Put simply, do people get more questions right if they take longer answering each question? ![]() We want to find out if these two things are correlated. Time is the amount of time in seconds it takes them to complete the test. Score is the number of questions that people get right. We’re interested in two variables, Score and Time. The Valid or Invalid? exercise is a logic test that requires people to determine whether deductive arguments are valid or invalid. The result will appear in the SPSS output viewerįor the purposes of this tutorial, we’re using a data set that comes from the Philosophy Experiments website.Make sure Pearson is checked under Correlation Coefficients.Move the two variables you want to test over to the Variables box on the right.Click on Analyze -> Correlate -> Bivariate. ![]()
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