Glossary
All concepts tracked across the site. Click any keyword to see every occurrence with full context.
RStudio install¶
1 new
wait
Office hours¶
4 new
office hoursonline meetingin-person meetingappointment
Online office hours¶
1 new
scheduling an online meeting
In-person office hours¶
1 new
scheduling an in-person meeting
Syllabus¶
1 new
syllabus
Structure and due dates¶
1 new
due dates
Assignment submission¶
5 new
how to submit an assignmenthow to move a file in google drivehow to rename a file in google drivehow to rename a folder in google drivehow to post a comment on an assignment
Word count and writing¶
1 new
word count
How to take a screenshot¶
1 new
screenshot
Search¶
1 new
search
Pane¶
2 new
concept graphpath
Content tags¶
1 new
content tags
Graphs¶
4 new + 2 recurring
graphssite graphpage graphconcept graphpanepath
Glossary¶
4 new
glossary viewsby pagealphabeticalby importance
Social research: why and how¶
20 new
social researchresearch methodsquantitative researchsurveyqualitative researchin-depth interviewcontent analysisethnographic researchsamplingpopulationsamplesocial research processresearch topicliterature reviewresearch questionhypothesesfinding datadata analysisprimary datasecondary data
01. Introduction to RStudio¶
14 new + 1 recurring
softwarerrstudiorstudio cloudgssr packagessteps of using rstudiocopy the coderstudio consolewaithighlighting and runningrstudio interfacefiles tabplots tabviewer tab
The ABC’s of a research project¶
0 new + 1 recurring
research question
02. Introduction to data and scripting¶
27 new
terminologiessurvey terminologyquestionnairerespondentsdatadatasetdata terminologyquestion wordingvariable namevariable labelvaluevalue labelresponse categoryusing r script filesr script fileoutline viewcommentingsave r script fileworking spacepasting variable nameshow to work with codesmodel codeworking codefind this working code in the r script filekeyboard shortcutshand and finger positionsmouse shortcuts
03. Descriptive statistics¶
17 new
variablecontent of the variabledemographic variablescontextual variablestypes of the variablecategoricalbinarynominalordinalcontinuoussummary statisticsfrequency tablebar graphdescriptive tablehistogram graphmeanstandard deviation
04. Recoding variables¶
14 new + 5 recurring
recodingreasons for recodingmerging valuesreversing valuestransforming continuous variables into groupscategoricalfrequency tablefrequency table for recoded variableordinalcontinuousdescriptive tablerecoding model codescommon recoding issues and troubleshootingdifferent recoding codes for different variablesuse the recoded (new) variable in analysesrecoded variables are always categoricaluse a model coderefresh gss data if variables are misplacedrun the recoding codes to create a new variable
05. Computing variables¶
7 new + 5 recurring
computingindex variablerecodingreversing valuescategoricalcontinuousdescriptive tabledescriptive table for index variablecommon computing issues and troubleshootinguse the new (recoded) variables in computing codecomputed variables are always continuousrun the computing codes to create a new variable
06. Chi-square analysis¶
8 new + 2 recurring
chi-squarecategoricalvariablefunctions of the variableoutcome variablefactor variablestatistical significancep-valueis my p-value less than 0.05?check asterisks
07. T-test analysis¶
1 new + 8 recurring
t-teststatistical significancep-valueis my p-value less than 0.05?factor variablebinaryoutcome variablecontinuousmerging values
08. Probabilistic sampling¶
9 new + 4 recurring
sampling conceptspopulationsamplesamplingrandomnessdescriptive tablesampling methodsnon-probability samplingnon-random samplingprobability samplingsimple random samplingsystematic random samplingdata creation
09. Visualization¶
2 new + 3 recurring
stacked bar graph for multiple variablescategoricalstacked bar graph by groupsfactor variableoutcome variable
10. Correlation analysis¶
19 new + 1 recurring
correlation analysisp-valuer-valuesignificance of correlationnonsignificant correlationsignificant correlationdirection of correlationpositive correlationnegative correlationstrength of correlationweak correlationmoderate correlationstrong correlationconfounding variablebivariate correlationcorrelation tablescatterplot graphmultivariate correlationcorrelation table matrixscatterplot graph matrix
11. Linear regression basics¶
17 new + 7 recurring
regressionfactor variableoutcome variablecorrelation analysistypes of regression modeling based on outcome variablelinear regressioncontinuouslogistic regressionbinarytypes of regression modeling based on modeling typeexplanatory modelingpredictive modelingdescriptive modelingcoefficientstandard errorstandardized coefficientp-valueadjusted r-squaredconfounding variablelinear regression interpretation specificsreporting of coefficientsunit of analysisreporting of standardized coefficientsreporting of adjusted r-squared
12. Dummy variables¶
3 new + 4 recurring
dummy variableomitting dummy variablecomparison dummy variablelinear regressionfactor variableoutcome variableadjusted r-squared
13. Logistic regression basics¶
3 new + 7 recurring
logistic regressionoutcome variablebinarydummy variableodds ratiostandard errorstandardized odds ratiop-valuetjur r-squaredfactor variable
14. Modeling exercises¶
0 new + 4 recurring
logistic regressionfactor variableoutcome variabletjur r-squared
15. Regression assumptions and diagnostics¶
11 new + 7 recurring
linear regression assumptionshomoscedasticityheteroscedasticitymulticollinearitylinearitycurvilinear relationshipnormal distributionnonnormal distribution10% of the casescomputingindex variablerecodingdummy variablelinear regressionperformance diagnosticvifscatterplot graph matrixfrequency table