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: > > 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...@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.