Hello... I nee your help!
I have a SPSS Data file that is complete with N = 29 participants.
The data file is very large however, as each participant undertook a series of experimental trials (participants were given 90 minutes to complete as many trials as they could - MAX = 30)
yielding a high volume of (repeated measures) data.
Because of this, it is a very large data file, with over 3000 variables relating to these experimental trials.
What is needed:
Univariate, Multivariate, and Repeated Measures ANOVAs to explore effects of three main (categorical) IVs on three main (continuous) DVs.
So I need descriptive stats, main effects, interactions, and effect sizes.
> IVs (all categorical): Feedback (2 conditions: YES/NO), Ellipse Condition (3 Conditions: 50%, 95%, None), Number of Targets (3 Conditions: 1, 3, 7), and Gender (2 conditions: Male, Female)
> DVs (all continuous): Timeliness/speediness in terms of Reaction Times, Confidence, and Accuracy
The issue is the complexity of the data. Some variable rearranging and new variable computations is needed I believe to allow the data to fit the tests to be carried out.
I have attached the data file for you and also an Excel spreadsheet that explains the data set for you.
I expect you to be able to rearrange the data in a way that allows you to run all the analyses and outputs.
I can interpret the data, I just need you to run the outputs for the above stated variables.
If you know SPSS well, this should be pretty straightforward and may take a few hours.
The job is quite urgent, so I expect you to start immediately and have it completed within 48 hours.
Any questions, let me know!