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PSYC 3525 (3)

SPSS lecture.docx

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York University
PSYC 3525
Josee Rivest

Review of table of variance: - Need to input data differently based on design you have - Source of noise will be different based on design also The same denominator, the same noise= individual differences This is our design, our error term will stay the same because we always have the same source of noise. All participants see all levels of all independent variables. Each main effect has its own error term= how the subjects interact with each of the variables. Table of variance is more complex and different because both have different sources of noise- individual differences (for between subject variable) and participant interaction with the variable (for within). The way to tell SPSS what design- recording data differently. SPSS is focused around the Liberal Type 1 error, p value, important. Close to 1 that means your independent variable has no effect Probability of difference if no independent variable in play at all. SPSS: Between Subject Design ***In data file, each row is always one participant*** Therefore, since we have a between subject design, we should not have more than one data per row. This was a 2x2 design where age was one IV (younger and older), and cognitive state (intact or MCI-mild cognitive impairment). Need to associate numbers with different levels of variables. Ie. Younger is 1, Older is 2. Intact is 1, MCI is 2. Will have 3 different subset of data Every subject who’s young and intact will have 1 1 followed by data. Ie. Row 2 means young MCI participant. Long, long file, each participant in their own row. Open or existing data source Opens to data view Need to name your variables in variable view - Change under values - (Values are the levels of your variables) - Changerdnder labels - And 3 line need to tell it what you measured, your DV o This measure needs to be SCALE, not NOMINAL like the others Once you do this in variable view, you need to input the data (in data view) Once you have this you can run the analysis. Under analyze, select general linerar model, and select univariate. Choose 2 IV and bring them into box under fixed factor, same with the DV under dependent variable. Options, select desc
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