To adjust the "Top inner frame", highlight it in the Border menu section ( below). Once in the "Borders" tab, there are three elements that we are going to adjust: Once your table is produced ( below), right click on the table and click on "Edit Content" and then either "In Viewer" or "In Separate Window" (it doesn't really matter which you choose, for our purposes). For our purposes, a simple frequency does the trick (in the SPSS drop-down menus, navigate to: Analyze>descriptives>frequencies). The first step to make your SPSS adjustment is to produce an initial table for editing.
Let's get into the specifics about how to accomplish these three steps. Adjust your SPSS settings (options) so that SPSS recognizes your newly created "Look Style" as the default table "Look Style".įrom there, you can simply run your analyses as you typically would and your tables should be formatted in APA format.Create a custom "Table Look Style", by "Editing" the initial table's "Look Style" and saving the changes as a custom "style" ("APA Table" seems like a reasonable choice).Produce an initial table for alteration (using any analysis a simple frequency table is sufficient).The necessary changes can be accomplished in 3 steps: The adjustments to SPSS that are needed to produce tables like the ones on the right are only necessary to be made once, after which the adjustments are made automatically by SPSS and you'll find all of your future tables are ready for insertion into your APA manuscript immediately after analysis. The default font type and size has been changed to Times New Roman 12pt.The table borders have been adjusted appropriately (details of specific changes to follow shortly).The title has been changed from center justified and bold to left justified, italics, and NOT bold ( above-right APA format).The table on the right more closely aligns with APA format than the table on the left in several ways: Liz's math test included a survey question asking how many hours students spent studying for the test the scatterplot below shows the relationship between how many our students been studying and their score on the test a line was fit to the data to model the relationship they don't tell us how the line was fit but this actually looks like a pretty good fit if I just eyeball it which of these linear equations best describes the given model so as you know this point right over here this shows that some students at least self-reported they studied a little bit more than half an hour and they didn't actually do that well on the test looks like they scored a 43 or 44 on the test this right over here shows our like this one over here is a student who says they studied two hours and looks like they scored about a 64 65 on the test and this over here or this over here took a study students who studied over four hours or they reported that and they got looks like a 95 or 96 on the exam and so then and these are all the different students each of these points is represents a student and then they fit a line and when they say which of these linear equations best describes the given model they're really saying which of these linear equations describes or is or is being plotted right over here by this line that's trying to fit to them that's trying to fit to the data so essentially we just want figure out what is the equation of this line well it looks like the y-intercept right over here is 20 and looks like all of these choices here have a y-intercept of 20 so that doesn't help us much but let's think about what the slope is when we increase by one when we increase along our x-axis by one so change in X is 1 what is our change in Y our change in Y looks like let's see we went from 20 to 40 it looks like we got went up by 20 so our change in Y over change in X for this model for this line that's trying to fit to the data is 20 over 1 so this is going to be our slope and if we look at all of these choices only this one has a slope of 20 so it would be this choice right over here based on this equation estimate the score for a student that spent three point eight hours studying so we would go to three point eight which is right over Alice II this would be three point eight would be right around here so let's estimate that score so if I go straight up where do we intersect our model where do we intersect our line so it looks like we would get a pretty high score let's see if I were to take it to the vertical axis it looks like they would get about a ninety seven so I would write my estimate is that they would get a ninety seven based on this model and once again this is only a model it's not a guarantee that if someone studies 3.Pictured ( above) are examples of standard SPSS tables ( left) and tables produced in SPSS after a few adjustments ( right) to the settings.