Hi Dar. It sounds like anova is a good way to go. The command to look into in R is: ?aov you might also go into manova (for anova for two dependent variables together) But make sure you understand the background of it when you work the commands.
Cheers, Tal On Wed, Feb 25, 2009 at 11:06 PM, Dar <darre...@aol.com> wrote: > Independent Variables: 5 different levels of exposure to information: > no information, appearance > information, educational information, contact information, and > personal information. The types Unranked Categorical Variable > > Dependent Variables: 2 and are numerical > > 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 > > On Feb 25, 3:24 pm, Tal Galili <tal.gal...@gmail.com> wrote: > > Hi Dar. > > > > could you please specify what type of variables the dependent and > > independent variables are ? (numeric/ordered/categorical , what is their > > range) > > could you please specify how many dependent and independent variables you > > have ? (numeric/ordered/categorical , what is their range) > > > > In either way - reading more on anova is a good way to go. > > > > Tal > > > > > > > > On Wed, Feb 25, 2009 at 8:22 PM, Dar <darre...@aol.com> wrote: > > > Im just setting up the experiment and need help explaining what the > > > data analysis would be. Let me know of any questions .. 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-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. > -- ---------------------------------------------- My contact information: Tal Galili Phone number: 972-50-3373767 FaceBook: Tal Galili My Blogs: www.talgalili.com www.biostatistics.co.il [[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.
