[R] Anova Help?

[Dar]

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... at 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... at aol.com> wrote:
> > I’m 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... at 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... at 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... at 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... at 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... at 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... at 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.