SOCY 2112
http://methods2.shortell.nyc
enGroup Exercise: Model Specification
http://methods2.shortell.nyc/?q=node/43
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"><p>Each group will build a causal model to explain one DV. Compute the linear model and interpret the results, as appropriate. Paste your R code beneath your interpretation.</p>
<p>A. political view<br />
B. feminism<br />
C. religiosity<br />
D. party affiliation</p>
</div></div></div>Mon, 14 May 2018 19:29:52 +0000Professor Shortell43 at http://methods2.shortell.nychttp://methods2.shortell.nyc/?q=node/43#commentsGroup Exercise: Another Linear Model
http://methods2.shortell.nyc/?q=node/42
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"><p>Develop a multiple regression model to explain our DV, favorability toward Trump. Compute the model. Interpret the results, as appropriate. Paste your R code beneath your interpretation. Include any recoding or indexing you did.</p>
</div></div></div>Wed, 09 May 2018 20:18:38 +0000Professor Shortell42 at http://methods2.shortell.nychttp://methods2.shortell.nyc/?q=node/42#commentsFinal Examination
http://methods2.shortell.nyc/?q=node/41
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"><FORM METHOD=POST ACTION=""> <p><em>Directions:</em><br />
Respond to each item in a clear and concise paragraph. <strong>Before you submit, make a note of the number in the first comment, below. You will need to input this number into the form to submit your work. (This is to prevent spammers from using the form. Sorry about that. Spammers ruin everything.)</strong></p>
<p>Identify a sociological question that can be investigated with the ANES 2016. Identify the dependent variable (DV) you are trying to explain.</p>
<p>Next, identify three to five potential independent variables. Identify the level of measurement of those variables. Select the appropriate analysis for your question with the variables you've selected.</p>
<p>Compute the analysis in R and interpret the results, as appropriate.</p>
<p>1. Explain your research question and why it is sociologically meaningful. Explain the DV you selected and why it is a good indicator of this phenomenon.<br />
<textarea name="A" cols="100" rows="20"></textarea></p>
<p>2. Assess the reliability and validity of the variable you selected as DV. How could this variable be improved?<textarea name="B" cols="100" rows="20"></TEXTAREA></p>
<p>3. Using your DV and several IVs, perform a hypothesis test using the correct statistical test and discuss the results. (This might involve one test, such as a regression model or factorial analysis of variance, or several crosstabulations or means.)<br /><textarea name="C" cols="100" rows="20"></TEXTAREA></p>
<p>4. What has your analysis revealed about the phenomenon? What is the sociological significance of what you've learned?<br /><textarea name="D" cols="100" rows="20"></TEXTAREA></p>
<p>5. Show your R code used for this analysis.<br /><textarea name="E" cols="100" rows="30"></TEXTAREA></p>
<p>FORM SECURITY<br />Type the number in the first comment, below, here: <input type="text" name="SKELETONKEY"></p>
<p>Please confirm that the work you are submitting is your own: <input type="radio" name="pledge" value="Yes">Yes <input type="radio" name="pledge" value="No">No</p>
<p class=form><input type="submit" value="Send"> <input type="reset"></p>
</form></div></div></div>Wed, 09 May 2018 19:26:23 +0000Professor Shortell41 at http://methods2.shortell.nychttp://methods2.shortell.nyc/?q=node/41#commentsGroup Exercise: Multiple Regression
http://methods2.shortell.nyc/?q=node/39
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"><p>Identify a set of numeric or binary IVs that you think could explain our DV, favorability toward big business. You can retain some or all of the variables from the example and add additional ones, or you can select a different set of IVs. You must explain each variable that you put into the model.</p>
<p>Compute the linear model. Interpret the results, as appropriate. We'll see which group has the best fitting model (explains the most variation in our DV). Paste your R code below your interpretation.</p>
</div></div></div>Mon, 07 May 2018 20:20:52 +0000Professor Shortell39 at http://methods2.shortell.nychttp://methods2.shortell.nyc/?q=node/39#commentsGroup Exercise: Bivariate Linear Regression
http://methods2.shortell.nyc/?q=node/38
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"><p>Identify a numeric IV that you think could explain our DV, favorability toward big business. Compute the linear model. Interpret the results, as appropriate. We'll see which group has the best fitting model (explains the most variation in our DV). Paste your R code below your interpretation.</p>
</div></div></div>Wed, 02 May 2018 20:35:38 +0000Professor Shortell38 at http://methods2.shortell.nychttp://methods2.shortell.nyc/?q=node/38#commentsGroup Exercise: Correlations
http://methods2.shortell.nyc/?q=node/37
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"><p>Select two numeric variables from ANES 2016 and compute the correlation coefficient. Interpret the results, as appropriate.</p>
<p>Select a third numeric variable that you think might mediate the relationship between the first two variables. Compute the partial correlation coefficient. Interpret the results, as appropriate.</p>
<p>What have you learned from the correlation and partial correlation?</p>
</div></div></div>Mon, 30 Apr 2018 19:20:31 +0000Professor Shortell37 at http://methods2.shortell.nychttp://methods2.shortell.nyc/?q=node/37#commentsLab 6. Correlation and Bivariate Regression
http://methods2.shortell.nyc/?q=node/36
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"><p><em>Compose your answers in a Word/Pages/Google document (or the equivalent kind of file) and email prior to the due date or print and bring to class on the due date. Test your code in R before submitting your lab, so that you know it is correct. Be careful to write the code exactly, or copy the code from the R console into your word processor to ensure accuracy.</em></p>
<p>1. Select two numeric variables in ANES 2016. Compute the correlation coefficient. Interpret the results, as appropriate.</p>
<p>2. Identify a third numeric variable that you think might mediate the relationship between the variables in (1). Compute the partial correlation coefficient. Interpret the results, as appropriate.</p>
<p>3. Using the same two variables in (1), compute the bivariate linear regression model. Interpret the results, as appropriate. </p>
<p>4. What is the advantage of using regression instead of correlation to investigate the relationship between these two variables?</p>
</div></div></div>Sun, 29 Apr 2018 19:46:00 +0000Professor Shortell36 at http://methods2.shortell.nychttp://methods2.shortell.nyc/?q=node/36#commentsGroup Exercise: One More Factorial ANOVA
http://methods2.shortell.nyc/?q=node/35
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"><p>Keep the same DV and select two new categorical IVs and compute the factorial model. Interpret the results, as appropriate. Paste your R code beneath your interpretation.</p>
</div></div></div>Wed, 18 Apr 2018 20:02:46 +0000Professor Shortell35 at http://methods2.shortell.nychttp://methods2.shortell.nyc/?q=node/35#commentsGroup Exercise: More Practice with Factorial ANOVA
http://methods2.shortell.nyc/?q=node/34
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"><p>We'll examine another example of a linear model with two categorical independent variables and a numeric dependent variable. In the group exercise, you'll select new independent variables to explain variation in the same dependent variable.</p>
<p># Our DV will be favorability toward the Tea Party movement, V162109</p>
<p># Our initial independent variables will be gender, V161342, and party affiliation, V161155.<br />
# We'll recode these variables to make the comparisons clearer:<br />
Gender<-0; Gender[V161342==1]<-1; Gender[V161342==2]<-2<br />
PartyAffil<-0; PartyAffil[V161155==1]<-1; PartyAffil[V161155==2]<-2; PartyAffil[V161155==3]<-3</p>
<p># Now, we'll compute means for the DV by the IVs<br />
describeBy(V162109,Gender)<br />
describeBy(V162109,PartyAffil)<br />
describeBy(V162109,list(Gender,PartyAffil))</p>
<p># Finally, we'll test the significance of the model. This is the hypothesis test.<br />
summary(lm(V162109~Gender*PartyAffil))</p>
<p>Group Exercise:<br />
Identify different independent variables that you think could explain favorability toward the Tea Party movement and perform the hypothesis test. Interpret the results as appropriate. Paste your R code beneath your interpretation.</p>
</div></div></div>Mon, 16 Apr 2018 16:44:16 +0000Professor Shortell34 at http://methods2.shortell.nychttp://methods2.shortell.nyc/?q=node/34#commentsLab Assignment 5
http://methods2.shortell.nyc/?q=node/33
<div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"><p><em>Compose your answers in a Word/Pages/Google document (or the equivalent kind of file) and email prior to the due date or print and bring to class on the due date. Test your code in R before submitting your lab, so that you know it is correct.<br />
Be careful to write the code exactly, or copy the code from the R console into your word processor to ensure accuracy.</em></p>
<p>1. Identify one numeric variable in ANES 2016. Perform the hypothesis test, and interpret the results as appropriate.</p>
<p>2. Using the numeric variable in (1), identify a categorical variable as an independent variable. Recode into a binary if needed. Perform the hypothesis test using the t-test, and interpret the results as appropriate.</p>
<p>3. Using the numeric variable from (1), identify a different categorical variable as an independent variable. Perform the hypothesis test using the F-test, and interpret the results as appropriate.</p>
</div></div></div>Wed, 11 Apr 2018 01:12:09 +0000Professor Shortell33 at http://methods2.shortell.nychttp://methods2.shortell.nyc/?q=node/33#comments