Based on your description so far and on my making a reasonable set of assumptions that would still need to be checked, your analysis would appear to be a multivariate (connectedness, learning) analysis of covariance of a 5 (information exposure) by 3 (previous experience) design with 2 covariates (frequency, duration). You really should consult one of the myriad of analysis of variance texts.
Joseph F. Lucke Senior Statistician Research Institute on Addictions University at Buffalo SUNY Dar <darre...@aol.com> Sent by: r-help-boun...@r-project.org 02/25/2009 01:22 PM To r-help@r-project.org cc Subject Re: [R] Anova Help? Iâm just setting up the experiment and need help explaining what the data analysis would be. Let me know of any questionsâ¦.. what would be compared and how it would be measured. Is it a multi-way or 1-way anova? Thanks! A 5 X 1 between-subject design will be used for the experiment. Four tool groups (Group1, Group2, Group3, Group4) will be able to view one category of information that their groups are allowed to in their tools. The control group, however, will have no access to the experimental tool. Pre-survey has demographic and previous experience questionnaire. The independent variable is the exposure to the information. The independent variable has five levels: no information, appearance information, educational information, contact information, and personal information. The dependent variable will be (2 dependent variables) gathered through a questionnaire at the end of the study. Connectedness. This variable will be operationalized as the Connectedness score Learning. This variable will be operationalized as the Learning score Covariates: Frequency of using tool Duration of tool use Previous experience (three types of previous experience). On Feb 25, 11:35 am, Tal Galili <tal.gal...@gmail.com> wrote: > Hi Dar. > > I am not sure I got your question - > Are you asking what analysis to perform ? > Or how to perform it ? > > Could you please give more details ? > > On Wed, Feb 25, 2009 at 5:52 PM, Dar <darre...@aol.com> wrote: > > I am conducting an experiment where students are put into 5 total > > groups (one is the control group). They are given a task and then I'm > > measuring if there are differences (A 5 X 1 between-subject design > > will be used for the experiment). I'm a little confused on the data > > explanation (or should I say how do I explain what is being analyzed > > versus just comparing values) Any help? > > > ______________________________________________ > > r-h...@r-project.org mailing list > >https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide > >http://www.R-project.org/posting-guide.html > > and provide commented, minimal, self-contained, reproducible code. > > -- > ---------------------------------------------- > > My contact information: > Tal Galili > Phone number: 972-50-3373767 > FaceBook: Tal Galili > My Blogs:www.talgalili.comwww.biostatistics.co.il > > [[alternative HTML version deleted]] > > ______________________________________________ > r-h...@r-project.org mailing listhttps://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guidehttp://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. [[alternative HTML version deleted]]
______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
