Manual Statistics in Psychology Using R and SPSS

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Statistics in Psychology Using R and SPSS

Patricia Leavy. Thomas S. James Harvey Robinson. Barbara A. Joseph Murphy. Helen E. Peter A. Sharon Lawner Weinberg. Scott Baldwin. Fred Pyrczak. Insu Paek.

Mildred L. George E. Sarah Tomley. Andrew M. David Seamon. Per Jensen.

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Timothy C. John Steiner. Alan Carr. Rosemarie Anderson. Paul Watzlawick. Dennis Howitt. MS Evette Rose. Peter Clough. Andy Field. Colin Cameron. Thomas H. Donncha Hanna.

R for Psychological Science?

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Thank-you for taking the time and sharing your expertise in such a useful way. Great post, and very detailed. Unfortunately, it highlights the biggest problem with R. Having to go through all of R's genuflections just to get this type of basic analysis done is precisely why it won't make a dent in this space. Until there is further development on a user-friendly front end, that doesn't involve all this coding, installing various packages, loading libraries, arcane error messages, massively disconnected support options, etc R just can't compete with SPSS for this purpose.

I'm no fan of SPSS, and in fact am increasingly irritated by their business model, which is leaving academics behind in pursuit of their enterprise level strategy. I'd love to make the switch, and think the Field's text is outstanding.

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Sure you can Google any question with R. Students could spend inordinate amounts of time massaging code examples just to make an example work for them. Although it's technically not "fragmentation" per se, working with R can sure feel that way. I do have my Ph. At this point, I really believe I'd be doing the students a disservice switching my curriculum to R, as it just doesn't suit their needs. Hi Jeff, They are all good points, and they are the issues that I'm pondering at the moment.

The result probably would have been very technical and obscure also. This would all be relatively simple in R. I imagine each that to replicate any of those steps in SPSS would take a bit of work looking up syntax workarounds, add-on packages, and so on. If not, then R is often a lot easier to work with. Hi, According to my understanding regression one of the assumptions of regression is linearity.

Forgive me if you have done that. I am not able to find it. Rule 1 for linearity There should exist a linear relation between each independent and dependent variable.

Where are you checking it statistically, besides the scatter plot? Is there a lack of fit test? Rule 2 for linearity Overall all the independent variables should possess a linear relationship with dependent variable. Where have you checked that. I can see you have checked for the other 3 assumptions of regression.

Again if you have checked already, I may be missing it. Could you help find it? That said, if you want to assess linearity. A few options include: 1.