Glossary

1¶

10% of the cases — 1 page
15. Regression assumptions and diagnostics

A¶

absolute deprivation — 1 page
Sociology of poverty

adjusted r-squared — 2 pages
11. Linear regression basics · 12. Dummy variables

alphabetical — 1 page
Glossary

anonymity — 1 page
Research ethics

appointment — 1 page
Office hours

B¶

bad variables, good variables — 1 page
The ABC’s of a research project

balanced — 1 page
Survey questions

bar graph — 1 page
03. Descriptive statistics

binary — 4 pages
03. Descriptive statistics · 07. T-test analysis · 11. Linear regression basics · 13. Logistic regression basics

bivariate correlation — 1 page
10. Correlation analysis

by importance — 1 page
Glossary

by page — 1 page
Glossary

C¶

categorical — 5 pages
03. Descriptive statistics · 04. Recoding variables · 05. Computing variables · 06. Chi-square analysis · 09. Visualization

characteristics of survey — 1 page
Introduction to survey methodology

check asterisks — 1 page
06. Chi-square analysis

chi-square — 1 page
06. Chi-square analysis

closed-ended questions — 2 pages
Introduction to survey methodology · Survey questions

coefficient — 1 page
11. Linear regression basics

cohort study — 1 page
Introduction to survey methodology

commenting — 1 page
02. Introduction to data and scripting

common computing issues and troubleshooting — 1 page
05. Computing variables

common recoding issues and troubleshooting — 1 page
04. Recoding variables

comparison dummy variable — 1 page
12. Dummy variables

complex questions — 1 page
Survey questions

computed variables are always continuous — 1 page
05. Computing variables

computing — 2 pages
05. Computing variables · 15. Regression assumptions and diagnostics

concept — 1 page
Concepts and indicators

concept graph — 2 pages
Pane · Graphs

confidence interval — 1 page
Probability sampling methods

confidentiality — 1 page
Research ethics

confounding variable — 2 pages
10. Correlation analysis · 11. Linear regression basics

construct validity — 1 page
Concepts and indicators

content analysis — 1 page
Social research: why and how

content of the variable — 1 page
The ABC’s of a research project

content tags — 1 page
Content tags

content validity — 1 page
Concepts and indicators

contextual variables — 1 page
The ABC’s of a research project

continuous — 5 pages
03. Descriptive statistics · 04. Recoding variables · 05. Computing variables · 07. T-test analysis · 11. Linear regression basics

contributions of extended family members — 1 page
Sociology of poverty

convenience sampling — 1 page
Non-probability sampling methods

copy the code — 1 page
01. Introduction to RStudio

correlation analysis — 2 pages
10. Correlation analysis · 11. Linear regression basics

correlation table — 1 page
10. Correlation analysis

correlation table matrix — 1 page
10. Correlation analysis

coverage error — 1 page
Survey modes

criterion validity — 1 page
Concepts and indicators

cross-sectional surveys — 1 page
Introduction to survey methodology

current poverty snapshot — 1 page
Sociology of poverty

curvilinear relationship — 1 page
15. Regression assumptions and diagnostics

D¶

data — 2 pages
Social research: why and how · 02. Introduction to data and scripting

data analysis — 1 page
Social research: why and how

data creation — 1 page
08. Probabilistic sampling

data security — 1 page
Research ethics

data terminology — 1 page
02. Introduction to data and scripting

dataset — 1 page
02. Introduction to data and scripting

delineate the dimensions — 1 page
Concepts and indicators

demographic variables — 1 page
The ABC’s of a research project

descriptive modeling — 1 page
11. Linear regression basics

descriptive table — 4 pages
03. Descriptive statistics · 04. Recoding variables · 05. Computing variables · 08. Probabilistic sampling

descriptive table for index variable — 1 page
05. Computing variables

deserving poor — 1 page
Sociology of poverty

develop indicators and questionnaire items — 1 page
Concepts and indicators

develop indicators and survey questions — 1 page
Concepts and indicators

different recoding codes for different variables — 1 page
04. Recoding variables

dimension — 1 page
Concepts and indicators

direction of correlation — 1 page
10. Correlation analysis

double negative questions — 1 page
Survey questions

double-barreled questions — 1 page
Survey questions

due dates — 1 page
Structure and due dates

dummy variable — 3 pages
12. Dummy variables · 13. Logistic regression basics · 15. Regression assumptions and diagnostics

E¶

elements of surveys — 1 page
Introduction to survey methodology

empirical social research — 1 page
The ABC’s of a research project

ethical research — 1 page
Research ethics

ethnographic research — 1 page
Social research: why and how

exhaustive — 1 page
Survey questions

explanatory modeling — 1 page
11. Linear regression basics

F¶

face validity — 1 page
Concepts and indicators

face-to-face surveys — 1 page
Survey modes

factor variable — 8 pages
The ABC’s of a research project · 06. Chi-square analysis · 07. T-test analysis · 09. Visualization · 11. Linear regression basics · 12. Dummy variables · 13. Logistic regression basics · 14. Modeling exercises

factors affecting sampling — 1 page
Probability sampling methods

faking data — 1 page
Research ethics

faking surveys — 1 page
Research ethics

family poverty — 1 page
Sociology of poverty

files tab — 1 page
01. Introduction to RStudio

find this working code in the r script file — 1 page
02. Introduction to data and scripting

finding data — 1 page
Social research: why and how

flexibility day — 1 page
Structure and due dates

frequency table — 3 pages
03. Descriptive statistics · 04. Recoding variables · 15. Regression assumptions and diagnostics

frequency table for recoded variable — 1 page
04. Recoding variables

functions of the variable — 1 page
The ABC’s of a research project

G¶

glossary views — 1 page
Glossary

graphs — 1 page
Graphs

gss — 1 page
01. Introduction to RStudio

H¶

hand and finger positions — 1 page
02. Introduction to data and scripting

health issues among poor children — 1 page
Sociology of poverty

heterogeneity of the population — 1 page
Probability sampling methods

heteroscedasticity — 1 page
15. Regression assumptions and diagnostics

highlighting and running — 1 page
01. Introduction to RStudio

histogram graph — 1 page
03. Descriptive statistics

homoscedasticity — 1 page
15. Regression assumptions and diagnostics

how to clarify concepts — 1 page
Concepts and indicators

how to move a file in google drive — 1 page
Assignment submission

how to post a comment on an assignment — 1 page
Assignment submission

how to rename a file in google drive — 1 page
Assignment submission

how to rename a folder in google drive — 1 page
Assignment submission

how to submit an assignment — 1 page
Assignment submission

how to work with codes — 1 page
02. Introduction to data and scripting

hypotheses — 2 pages
Social research: why and how · The ABC’s of a research project

I¶

in-depth interview — 1 page
Social research: why and how

in-person meeting — 1 page
Office hours

index variable — 2 pages
05. Computing variables · 15. Regression assumptions and diagnostics

indicator — 1 page
Concepts and indicators

individualistic perspective — 1 page
Sociology of poverty

informed consent — 1 page
Research ethics

institutional review board — 1 page
Research ethics

inter-rater reliability — 1 page
Concepts and indicators

internal consistency — 1 page
Concepts and indicators

interviewer effect — 1 page
Survey modes

interviewer variance — 1 page
Survey modes

interviewer-administered survey — 1 page
Survey modes

is my p-value less than 0.05? — 2 pages
06. Chi-square analysis · 07. T-test analysis

item nonresponse — 1 page
Survey modes

K¶

keyboard shortcuts — 1 page
02. Introduction to data and scripting

L¶

leading questions — 1 page
Survey questions

linear regression — 3 pages
11. Linear regression basics · 12. Dummy variables · 15. Regression assumptions and diagnostics

linear regression assumptions — 1 page
15. Regression assumptions and diagnostics

linear regression interpretation specifics — 1 page
11. Linear regression basics

linearity — 1 page
15. Regression assumptions and diagnostics

literature review — 2 pages
Social research: why and how · The ABC’s of a research project

logistic regression — 3 pages
11. Linear regression basics · 13. Logistic regression basics · 14. Modeling exercises

long questions — 1 page
Survey questions

longitudinal surveys — 1 page
Introduction to survey methodology

M¶

mean — 1 page
03. Descriptive statistics

measurement — 1 page
Concepts and indicators

measurement error — 1 page
Survey modes

merging values — 2 pages
04. Recoding variables · 07. T-test analysis

mode effect — 1 page
Survey modes

model code — 1 page
02. Introduction to data and scripting

moderate correlation — 1 page
10. Correlation analysis

mouse shortcuts — 1 page
02. Introduction to data and scripting

multi-stage cluster random sampling — 1 page
Probability sampling methods

multicollinearity — 1 page
15. Regression assumptions and diagnostics

multivariate correlation — 1 page
10. Correlation analysis

mutually exclusive — 1 page
Survey questions

N¶

negative correlation — 1 page
10. Correlation analysis

neutral questions — 1 page
Survey questions

nominal — 1 page
03. Descriptive statistics

nominal definition — 1 page
Concepts and indicators

non-probability sampling — 1 page
Non-probability sampling methods

non-random sampling — 1 page
08. Probabilistic sampling

nonnormal distribution — 1 page
15. Regression assumptions and diagnostics

nonresponse error — 1 page
Survey modes

nonsignificant correlation — 1 page
10. Correlation analysis

normal distribution — 1 page
15. Regression assumptions and diagnostics

normative social research — 1 page
The ABC’s of a research project

O¶

obtain a range of definitions — 1 page
Concepts and indicators

odds ratio — 1 page
13. Logistic regression basics

office hours — 1 page
Office hours

omitting dummy variable — 1 page
12. Dummy variables

online meeting — 1 page
Office hours

online surveys — 1 page
Survey modes

open-ended questions — 2 pages
Introduction to survey methodology · Survey questions

ordered — 1 page
Survey questions

ordinal — 2 pages
03. Descriptive statistics · 04. Recoding variables

outcome variable — 8 pages
The ABC’s of a research project · 06. Chi-square analysis · 07. T-test analysis · 09. Visualization · 11. Linear regression basics · 12. Dummy variables · 13. Logistic regression basics · 14. Modeling exercises

outline view — 1 page
02. Introduction to data and scripting

P¶

p-value — 5 pages
06. Chi-square analysis · 07. T-test analysis · 10. Correlation analysis · 11. Linear regression basics · 13. Logistic regression basics

page graph — 1 page
Graphs

pane — 1 page
Graphs

panel design — 1 page
Introduction to survey methodology

parental relations — 1 page
Sociology of poverty

pasting variable names — 1 page
02. Introduction to data and scripting

path — 2 pages
Pane · Graphs

performance diagnostic — 1 page
15. Regression assumptions and diagnostics

perspectives of poverty — 1 page
Sociology of poverty

phrasing variables — 1 page
The ABC’s of a research project

plots tab — 1 page
01. Introduction to RStudio

population — 1 page
Non-probability sampling methods

positive correlation — 1 page
10. Correlation analysis

positive questions — 1 page
Survey questions

postal surveys — 1 page
Survey modes

poverty — 1 page
Sociology of poverty

poverty rate — 1 page
Sociology of poverty

poverty threshold — 1 page
Sociology of poverty

predictive modeling — 1 page
11. Linear regression basics

primacy effect — 1 page
Survey modes

primary data — 2 pages
Social research: why and how · The ABC’s of a research project

privacy — 1 page
Research ethics

private funders — 1 page
Research ethics

probability sampling — 2 pages
Non-probability sampling methods · Probability sampling methods

processing error — 1 page
Survey modes

purposive sampling — 1 page
Non-probability sampling methods

Q¶

qualitative research — 2 pages
Social research: why and how · The ABC’s of a research project

quantitative research — 2 pages
Social research: why and how · The ABC’s of a research project

question types — 1 page
Introduction to survey methodology

question wording — 1 page
02. Introduction to data and scripting

questionnaire — 1 page
02. Introduction to data and scripting

quota sampling — 1 page
Non-probability sampling methods

R¶

r — 1 page
01. Introduction to RStudio

r packages — 1 page
01. Introduction to RStudio

r script file — 1 page
02. Introduction to data and scripting

r-value — 1 page
10. Correlation analysis

randomness — 2 pages
Non-probability sampling methods · Probability sampling methods

reasons for recoding — 1 page
04. Recoding variables

recency effect — 1 page
Survey modes

recoded variables are always categorical — 1 page
04. Recoding variables

recoding — 3 pages
04. Recoding variables · 05. Computing variables · 15. Regression assumptions and diagnostics

recoding model codes — 1 page
04. Recoding variables

refresh gss data if variables are misplaced — 1 page
04. Recoding variables

regression — 1 page
11. Linear regression basics

relative deprivation — 1 page
Sociology of poverty

reliability — 1 page
Concepts and indicators

repeated cross-sectional design — 1 page
Introduction to survey methodology

reporting of adjusted r-squared — 1 page
11. Linear regression basics

reporting of coefficients — 1 page
11. Linear regression basics

reporting of standardized coefficients — 1 page
11. Linear regression basics

research methods — 1 page
Social research: why and how

research question — 2 pages
Social research: why and how · The ABC’s of a research project

research topic — 1 page
Social research: why and how

respondents — 1 page
02. Introduction to data and scripting

response category — 1 page
02. Introduction to data and scripting

response rate — 2 pages
Probability sampling methods · Survey modes

reversing values — 2 pages
04. Recoding variables · 05. Computing variables

rstudio — 1 page
01. Introduction to RStudio

rstudio cloud — 1 page
01. Introduction to RStudio

rstudio console — 1 page
01. Introduction to RStudio

rstudio interface — 1 page
01. Introduction to RStudio

run the computing codes to create a new variable — 1 page
05. Computing variables

run the recoding codes to create a new variable — 1 page
04. Recoding variables

S¶

sample — 1 page
Non-probability sampling methods

sample size — 2 pages
Non-probability sampling methods · Probability sampling methods

sampling — 1 page
Non-probability sampling methods

sampling concepts — 1 page
Non-probability sampling methods

sampling error — 1 page
Probability sampling methods

sampling methods — 1 page
Non-probability sampling methods

save r script file — 1 page
02. Introduction to data and scripting

scatterplot graph — 1 page
10. Correlation analysis

scatterplot graph matrix — 2 pages
10. Correlation analysis · 15. Regression assumptions and diagnostics

scheduling an in-person meeting — 1 page
In-person office hours

scheduling an online meeting — 1 page
Online office hours

screenshot — 1 page
How to take a screenshot

search — 1 page
Search

secondary data — 2 pages
Social research: why and how · The ABC’s of a research project

self-completion survey — 1 page
Survey modes

short questions — 1 page
Survey questions

significance of correlation — 1 page
10. Correlation analysis

significance of extended family members — 1 page
Sociology of poverty

significant correlation — 1 page
10. Correlation analysis

simple questions — 1 page
Survey questions

simple random sampling — 2 pages
Probability sampling methods · 08. Probabilistic sampling

single-barreled questions — 1 page
Survey questions

site graph — 1 page
Graphs

snowball sampling — 1 page
Non-probability sampling methods

social desirability bias — 1 page
Survey modes

social research — 2 pages
Social research: why and how · The ABC’s of a research project

social research process — 1 page
Social research: why and how

sociological perspective — 1 page
Sociology of poverty

software — 1 page
01. Introduction to RStudio

specific questions — 1 page
Survey questions

stacked bar graph by groups — 1 page
09. Visualization

stacked bar graph for multiple variables — 1 page
09. Visualization

standard deviation — 1 page
03. Descriptive statistics

standard error — 2 pages
11. Linear regression basics · 13. Logistic regression basics

standardized coefficient — 1 page
11. Linear regression basics

standardized odds ratio — 1 page
13. Logistic regression basics

statistical significance — 2 pages
06. Chi-square analysis · 07. T-test analysis

steps of using rstudio — 1 page
01. Introduction to RStudio

stratified random sampling — 1 page
Probability sampling methods

strength of correlation — 1 page
10. Correlation analysis

strong correlation — 1 page
10. Correlation analysis

summary statistics — 1 page
03. Descriptive statistics

survey — 2 pages
Social research: why and how · Introduction to survey methodology

survey errors — 1 page
Survey modes

survey modes — 1 page
Survey modes

survey questions — 1 page
Survey questions

survey terminology — 1 page
02. Introduction to data and scripting

syllabus — 1 page
Syllabus

systematic random sampling — 2 pages
Probability sampling methods · 08. Probabilistic sampling

T¶

t-test — 1 page
07. T-test analysis

telephone surveys — 1 page
Survey modes

terminologies — 1 page
02. Introduction to data and scripting

test-retest — 1 page
Concepts and indicators

the three-step test — 1 page
The ABC’s of a research project

the uses of surveys — 1 page
Introduction to survey methodology

the “higher or lower” test — 1 page
The ABC’s of a research project

the “is there a causality” test — 1 page
The ABC’s of a research project

the “what about it” test — 1 page
The ABC’s of a research project

time and cost — 1 page
Probability sampling methods

tjur r-squared — 2 pages
13. Logistic regression basics · 14. Modeling exercises

transforming continuous variables into groups — 1 page
04. Recoding variables

two poor — 1 page
Sociology of poverty

types of regression modeling based on modeling type — 1 page
11. Linear regression basics

types of regression modeling based on outcome variable — 1 page
11. Linear regression basics

types of survey design — 1 page
Introduction to survey methodology

types of the variable — 1 page
03. Descriptive statistics

U¶

undeserving poor — 1 page
Sociology of poverty

unethical practices — 1 page
Research ethics

unit nonresponse — 1 page
Survey modes

unit of analysis — 1 page
11. Linear regression basics

use a model code — 1 page
04. Recoding variables

use the new (recoded) variables in computing code — 1 page
05. Computing variables

use the recoded (new) variable in analyses — 1 page
04. Recoding variables

using r script files — 1 page
02. Introduction to data and scripting

V¶

vague questions — 1 page
Survey questions

validity — 1 page
Concepts and indicators

value — 1 page
02. Introduction to data and scripting

value label — 1 page
02. Introduction to data and scripting

variable — 2 pages
The ABC’s of a research project · 03. Descriptive statistics

variable label — 1 page
02. Introduction to data and scripting

variable name — 1 page
02. Introduction to data and scripting

variables and data types — 1 page
The ABC’s of a research project

viewer tab — 1 page
01. Introduction to RStudio

vif — 1 page
15. Regression assumptions and diagnostics

voluntary participation — 1 page
Research ethics

vulnerabilities of poor single-parent families — 1 page
Sociology of poverty

W¶

wait — 2 pages
RStudio install · 01. Introduction to RStudio

weak correlation — 1 page
10. Correlation analysis

word count — 1 page
Word count and writing

working code — 1 page
02. Introduction to data and scripting

working space — 1 page
02. Introduction to data and scripting

Most mentioned concepts¶

outcome variable — 25 mentions · 8 pages
The ABC’s of a research project · 06. Chi-square analysis · 07. T-test analysis · 09. Visualization · 11. Linear regression basics · 12. Dummy variables · 13. Logistic regression basics · 14. Modeling exercises

descriptive table — 24 mentions · 4 pages
03. Descriptive statistics · 04. Recoding variables · 05. Computing variables · 08. Probabilistic sampling

factor variable — 24 mentions · 8 pages
The ABC’s of a research project · 06. Chi-square analysis · 07. T-test analysis · 09. Visualization · 11. Linear regression basics · 12. Dummy variables · 13. Logistic regression basics · 14. Modeling exercises

linear regression — 20 mentions · 3 pages
11. Linear regression basics · 12. Dummy variables · 15. Regression assumptions and diagnostics

p-value — 18 mentions · 5 pages
06. Chi-square analysis · 07. T-test analysis · 10. Correlation analysis · 11. Linear regression basics · 13. Logistic regression basics

dummy variable — 15 mentions · 3 pages
12. Dummy variables · 13. Logistic regression basics · 15. Regression assumptions and diagnostics

frequency table — 15 mentions · 3 pages
03. Descriptive statistics · 04. Recoding variables · 15. Regression assumptions and diagnostics

reversing values — 13 mentions · 2 pages
04. Recoding variables · 05. Computing variables

categorical — 12 mentions · 5 pages
03. Descriptive statistics · 04. Recoding variables · 05. Computing variables · 06. Chi-square analysis · 09. Visualization

merging values — 12 mentions · 2 pages
04. Recoding variables · 07. T-test analysis

continuous — 11 mentions · 5 pages
03. Descriptive statistics · 04. Recoding variables · 05. Computing variables · 07. T-test analysis · 11. Linear regression basics

t-test — 11 mentions · 1 page
07. T-test analysis

transforming continuous variables into groups — 11 mentions · 1 page
04. Recoding variables

correlation table — 10 mentions · 1 page
10. Correlation analysis

scatterplot graph — 10 mentions · 1 page
10. Correlation analysis

scatterplot graph matrix — 10 mentions · 2 pages
10. Correlation analysis · 15. Regression assumptions and diagnostics

frequency table for recoded variable — 9 mentions · 1 page
04. Recoding variables

logistic regression — 9 mentions · 3 pages
11. Linear regression basics · 13. Logistic regression basics · 14. Modeling exercises

chi-square — 8 mentions · 1 page
06. Chi-square analysis

concept graph — 7 mentions · 2 pages
Pane · Graphs

multicollinearity — 7 mentions · 1 page
15. Regression assumptions and diagnostics

r-value — 7 mentions · 1 page
10. Correlation analysis

homoscedasticity — 6 mentions · 1 page
15. Regression assumptions and diagnostics

variable — 6 mentions · 2 pages
The ABC’s of a research project · 03. Descriptive statistics

adjusted r-squared — 5 mentions · 2 pages
11. Linear regression basics · 12. Dummy variables

bar graph — 5 mentions · 1 page
03. Descriptive statistics

coefficient — 5 mentions · 1 page
11. Linear regression basics

histogram graph — 5 mentions · 1 page
03. Descriptive statistics

hypotheses — 5 mentions · 2 pages
Social research: why and how · The ABC’s of a research project

literature review — 5 mentions · 2 pages
Social research: why and how · The ABC’s of a research project

open-ended questions — 5 mentions · 2 pages
Introduction to survey methodology · Survey questions

primary data — 5 mentions · 2 pages
Social research: why and how · The ABC’s of a research project

research question — 5 mentions · 2 pages
Social research: why and how · The ABC’s of a research project

secondary data — 5 mentions · 2 pages
Social research: why and how · The ABC’s of a research project

standardized coefficient — 5 mentions · 1 page
11. Linear regression basics

binary — 4 mentions · 4 pages
03. Descriptive statistics · 07. T-test analysis · 11. Linear regression basics · 13. Logistic regression basics

computing — 4 mentions · 2 pages
05. Computing variables · 15. Regression assumptions and diagnostics

correlation table matrix — 4 mentions · 1 page
10. Correlation analysis

face-to-face surveys — 4 mentions · 1 page
Survey modes

online surveys — 4 mentions · 1 page
Survey modes

path — 4 mentions · 2 pages
Pane · Graphs

performance diagnostic — 4 mentions · 1 page
15. Regression assumptions and diagnostics

postal surveys — 4 mentions · 1 page
Survey modes

predictive modeling — 4 mentions · 1 page
11. Linear regression basics

reliability — 4 mentions · 1 page
Concepts and indicators

stacked bar graph by groups — 4 mentions · 1 page
09. Visualization

stacked bar graph for multiple variables — 4 mentions · 1 page
09. Visualization

statistical significance — 4 mentions · 2 pages
06. Chi-square analysis · 07. T-test analysis

telephone surveys — 4 mentions · 1 page
Survey modes

validity — 4 mentions · 1 page
Concepts and indicators

anonymity — 3 mentions · 1 page
Research ethics

data creation — 3 mentions · 1 page
08. Probabilistic sampling

empirical social research — 3 mentions · 1 page
The ABC’s of a research project

explanatory modeling — 3 mentions · 1 page
11. Linear regression basics

index variable — 3 mentions · 2 pages
05. Computing variables · 15. Regression assumptions and diagnostics

institutional review board — 3 mentions · 1 page
Research ethics

nonsignificant correlation — 3 mentions · 1 page
10. Correlation analysis

ordinal — 3 mentions · 2 pages
03. Descriptive statistics · 04. Recoding variables

qualitative research — 3 mentions · 2 pages
Social research: why and how · The ABC’s of a research project

quantitative research — 3 mentions · 2 pages
Social research: why and how · The ABC’s of a research project

recoding — 3 mentions · 3 pages
04. Recoding variables · 05. Computing variables · 15. Regression assumptions and diagnostics

research topic — 3 mentions · 1 page
Social research: why and how

significant correlation — 3 mentions · 1 page
10. Correlation analysis

simple random sampling — 3 mentions · 2 pages
Probability sampling methods · 08. Probabilistic sampling

site graph — 3 mentions · 1 page
Graphs

systematic random sampling — 3 mentions · 2 pages
Probability sampling methods · 08. Probabilistic sampling

tjur r-squared — 3 mentions · 2 pages
13. Logistic regression basics · 14. Modeling exercises

10% of the cases — 2 mentions · 1 page
15. Regression assumptions and diagnostics

alphabetical — 2 mentions · 1 page
Glossary

by importance — 2 mentions · 1 page
Glossary

by page — 2 mentions · 1 page
Glossary

closed-ended questions — 2 mentions · 2 pages
Introduction to survey methodology · Survey questions

concept — 2 mentions · 1 page
Concepts and indicators

confidentiality — 2 mentions · 1 page
Research ethics

confounding variable — 2 mentions · 2 pages
10. Correlation analysis · 11. Linear regression basics

convenience sampling — 2 mentions · 1 page
Non-probability sampling methods

correlation analysis — 2 mentions · 2 pages
10. Correlation analysis · 11. Linear regression basics

cross-sectional surveys — 2 mentions · 1 page
Introduction to survey methodology

curvilinear relationship — 2 mentions · 1 page
15. Regression assumptions and diagnostics

data — 2 mentions · 2 pages
Social research: why and how · 02. Introduction to data and scripting

data analysis — 2 mentions · 1 page
Social research: why and how

data security — 2 mentions · 1 page
Research ethics

delineate the dimensions — 2 mentions · 1 page
Concepts and indicators

descriptive modeling — 2 mentions · 1 page
11. Linear regression basics

dimension — 2 mentions · 1 page
Concepts and indicators

ethical research — 2 mentions · 1 page
Research ethics

faking data — 2 mentions · 1 page
Research ethics

faking surveys — 2 mentions · 1 page
Research ethics

how to submit an assignment — 2 mentions · 1 page
Assignment submission

indicator — 2 mentions · 1 page
Concepts and indicators

interviewer effect — 2 mentions · 1 page
Survey modes

is my p-value less than 0.05? — 2 mentions · 2 pages
06. Chi-square analysis · 07. T-test analysis

linearity — 2 mentions · 1 page
15. Regression assumptions and diagnostics

longitudinal surveys — 2 mentions · 1 page
Introduction to survey methodology

measurement — 2 mentions · 1 page
Concepts and indicators

mode effect — 2 mentions · 1 page
Survey modes

moderate correlation — 2 mentions · 1 page
10. Correlation analysis

negative correlation — 2 mentions · 1 page
10. Correlation analysis

nominal — 2 mentions · 1 page
03. Descriptive statistics

nominal definition — 2 mentions · 1 page
Concepts and indicators

non-probability sampling — 2 mentions · 1 page
Non-probability sampling methods

nonresponse error — 2 mentions · 1 page
Survey modes

normative social research — 2 mentions · 1 page
The ABC’s of a research project

obtain a range of definitions — 2 mentions · 1 page
Concepts and indicators

page graph — 2 mentions · 1 page
Graphs

positive correlation — 2 mentions · 1 page
10. Correlation analysis

poverty rate — 2 mentions · 1 page
Sociology of poverty

privacy — 2 mentions · 1 page
Research ethics

private funders — 2 mentions · 1 page
Research ethics

probability sampling — 2 mentions · 2 pages
Non-probability sampling methods · Probability sampling methods

purposive sampling — 2 mentions · 1 page
Non-probability sampling methods

quota sampling — 2 mentions · 1 page
Non-probability sampling methods

randomness — 2 mentions · 2 pages
Non-probability sampling methods · Probability sampling methods

recoding model codes — 2 mentions · 1 page
04. Recoding variables

response rate — 2 mentions · 2 pages
Probability sampling methods · Survey modes

rstudio console — 2 mentions · 1 page
01. Introduction to RStudio

sample size — 2 mentions · 2 pages
Non-probability sampling methods · Probability sampling methods

snowball sampling — 2 mentions · 1 page
Non-probability sampling methods

social desirability bias — 2 mentions · 1 page
Survey modes

social research — 2 mentions · 2 pages
Social research: why and how · The ABC’s of a research project

standard error — 2 mentions · 2 pages
11. Linear regression basics · 13. Logistic regression basics

stratified random sampling — 2 mentions · 1 page
Probability sampling methods

survey — 2 mentions · 2 pages
Social research: why and how · Introduction to survey methodology

survey modes — 2 mentions · 1 page
Survey modes

survey questions — 2 mentions · 1 page
Survey questions

voluntary participation — 2 mentions · 1 page
Research ethics

wait — 2 mentions · 2 pages
RStudio install · 01. Introduction to RStudio

weak correlation — 2 mentions · 1 page
10. Correlation analysis

absolute deprivation — 1 mention · 1 page
Sociology of poverty

appointment — 1 mention · 1 page
Office hours

bad variables, good variables — 1 mention · 1 page
The ABC’s of a research project

balanced — 1 mention · 1 page
Survey questions

bivariate correlation — 1 mention · 1 page
10. Correlation analysis

characteristics of survey — 1 mention · 1 page
Introduction to survey methodology

check asterisks — 1 mention · 1 page
06. Chi-square analysis

cohort study — 1 mention · 1 page
Introduction to survey methodology

commenting — 1 mention · 1 page
02. Introduction to data and scripting

common computing issues and troubleshooting — 1 mention · 1 page
05. Computing variables

common recoding issues and troubleshooting — 1 mention · 1 page
04. Recoding variables

comparison dummy variable — 1 mention · 1 page
12. Dummy variables

complex questions — 1 mention · 1 page
Survey questions

computed variables are always continuous — 1 mention · 1 page
05. Computing variables

confidence interval — 1 mention · 1 page
Probability sampling methods

construct validity — 1 mention · 1 page
Concepts and indicators

content analysis — 1 mention · 1 page
Social research: why and how

content of the variable — 1 mention · 1 page
The ABC’s of a research project

content tags — 1 mention · 1 page
Content tags

content validity — 1 mention · 1 page
Concepts and indicators

contextual variables — 1 mention · 1 page
The ABC’s of a research project

contributions of extended family members — 1 mention · 1 page
Sociology of poverty

copy the code — 1 mention · 1 page
01. Introduction to RStudio

coverage error — 1 mention · 1 page
Survey modes

criterion validity — 1 mention · 1 page
Concepts and indicators

current poverty snapshot — 1 mention · 1 page
Sociology of poverty

data terminology — 1 mention · 1 page
02. Introduction to data and scripting

dataset — 1 mention · 1 page
02. Introduction to data and scripting

demographic variables — 1 mention · 1 page
The ABC’s of a research project

descriptive table for index variable — 1 mention · 1 page
05. Computing variables

deserving poor — 1 mention · 1 page
Sociology of poverty

develop indicators and questionnaire items — 1 mention · 1 page
Concepts and indicators

develop indicators and survey questions — 1 mention · 1 page
Concepts and indicators

different recoding codes for different variables — 1 mention · 1 page
04. Recoding variables

direction of correlation — 1 mention · 1 page
10. Correlation analysis

double negative questions — 1 mention · 1 page
Survey questions

double-barreled questions — 1 mention · 1 page
Survey questions

due dates — 1 mention · 1 page
Structure and due dates

elements of surveys — 1 mention · 1 page
Introduction to survey methodology

ethnographic research — 1 mention · 1 page
Social research: why and how

exhaustive — 1 mention · 1 page
Survey questions

face validity — 1 mention · 1 page
Concepts and indicators

factors affecting sampling — 1 mention · 1 page
Probability sampling methods

family poverty — 1 mention · 1 page
Sociology of poverty

files tab — 1 mention · 1 page
01. Introduction to RStudio

find this working code in the r script file — 1 mention · 1 page
02. Introduction to data and scripting

finding data — 1 mention · 1 page
Social research: why and how

flexibility day — 1 mention · 1 page
Structure and due dates

functions of the variable — 1 mention · 1 page
The ABC’s of a research project

glossary views — 1 mention · 1 page
Glossary

graphs — 1 mention · 1 page
Graphs

gss — 1 mention · 1 page
01. Introduction to RStudio

hand and finger positions — 1 mention · 1 page
02. Introduction to data and scripting

health issues among poor children — 1 mention · 1 page
Sociology of poverty

heterogeneity of the population — 1 mention · 1 page
Probability sampling methods

heteroscedasticity — 1 mention · 1 page
15. Regression assumptions and diagnostics

highlighting and running — 1 mention · 1 page
01. Introduction to RStudio

how to clarify concepts — 1 mention · 1 page
Concepts and indicators

how to move a file in google drive — 1 mention · 1 page
Assignment submission

how to post a comment on an assignment — 1 mention · 1 page
Assignment submission

how to rename a file in google drive — 1 mention · 1 page
Assignment submission

how to rename a folder in google drive — 1 mention · 1 page
Assignment submission

how to work with codes — 1 mention · 1 page
02. Introduction to data and scripting

in-depth interview — 1 mention · 1 page
Social research: why and how

in-person meeting — 1 mention · 1 page
Office hours

individualistic perspective — 1 mention · 1 page
Sociology of poverty

informed consent — 1 mention · 1 page
Research ethics

inter-rater reliability — 1 mention · 1 page
Concepts and indicators

internal consistency — 1 mention · 1 page
Concepts and indicators

interviewer variance — 1 mention · 1 page
Survey modes

interviewer-administered survey — 1 mention · 1 page
Survey modes

item nonresponse — 1 mention · 1 page
Survey modes

keyboard shortcuts — 1 mention · 1 page
02. Introduction to data and scripting

leading questions — 1 mention · 1 page
Survey questions

linear regression assumptions — 1 mention · 1 page
15. Regression assumptions and diagnostics

linear regression interpretation specifics — 1 mention · 1 page
11. Linear regression basics

long questions — 1 mention · 1 page
Survey questions

mean — 1 mention · 1 page
03. Descriptive statistics

measurement error — 1 mention · 1 page
Survey modes

model code — 1 mention · 1 page
02. Introduction to data and scripting

mouse shortcuts — 1 mention · 1 page
02. Introduction to data and scripting

multi-stage cluster random sampling — 1 mention · 1 page
Probability sampling methods

multivariate correlation — 1 mention · 1 page
10. Correlation analysis

mutually exclusive — 1 mention · 1 page
Survey questions

neutral questions — 1 mention · 1 page
Survey questions

non-random sampling — 1 mention · 1 page
08. Probabilistic sampling

nonnormal distribution — 1 mention · 1 page
15. Regression assumptions and diagnostics

normal distribution — 1 mention · 1 page
15. Regression assumptions and diagnostics

odds ratio — 1 mention · 1 page
13. Logistic regression basics

office hours — 1 mention · 1 page
Office hours

omitting dummy variable — 1 mention · 1 page
12. Dummy variables

online meeting — 1 mention · 1 page
Office hours

ordered — 1 mention · 1 page
Survey questions

outline view — 1 mention · 1 page
02. Introduction to data and scripting

pane — 1 mention · 1 page
Graphs

panel design — 1 mention · 1 page
Introduction to survey methodology

parental relations — 1 mention · 1 page
Sociology of poverty

pasting variable names — 1 mention · 1 page
02. Introduction to data and scripting

perspectives of poverty — 1 mention · 1 page
Sociology of poverty

phrasing variables — 1 mention · 1 page
The ABC’s of a research project

plots tab — 1 mention · 1 page
01. Introduction to RStudio

population — 1 mention · 1 page
Non-probability sampling methods

positive questions — 1 mention · 1 page
Survey questions

poverty — 1 mention · 1 page
Sociology of poverty

poverty threshold — 1 mention · 1 page
Sociology of poverty

primacy effect — 1 mention · 1 page
Survey modes

processing error — 1 mention · 1 page
Survey modes

question types — 1 mention · 1 page
Introduction to survey methodology

question wording — 1 mention · 1 page
02. Introduction to data and scripting

questionnaire — 1 mention · 1 page
02. Introduction to data and scripting

r — 1 mention · 1 page
01. Introduction to RStudio

r packages — 1 mention · 1 page
01. Introduction to RStudio

r script file — 1 mention · 1 page
02. Introduction to data and scripting

reasons for recoding — 1 mention · 1 page
04. Recoding variables

recency effect — 1 mention · 1 page
Survey modes

recoded variables are always categorical — 1 mention · 1 page
04. Recoding variables

refresh gss data if variables are misplaced — 1 mention · 1 page
04. Recoding variables

regression — 1 mention · 1 page
11. Linear regression basics

relative deprivation — 1 mention · 1 page
Sociology of poverty

repeated cross-sectional design — 1 mention · 1 page
Introduction to survey methodology

reporting of adjusted r-squared — 1 mention · 1 page
11. Linear regression basics

reporting of coefficients — 1 mention · 1 page
11. Linear regression basics

reporting of standardized coefficients — 1 mention · 1 page
11. Linear regression basics

research methods — 1 mention · 1 page
Social research: why and how

respondents — 1 mention · 1 page
02. Introduction to data and scripting

response category — 1 mention · 1 page
02. Introduction to data and scripting

rstudio — 1 mention · 1 page
01. Introduction to RStudio

rstudio cloud — 1 mention · 1 page
01. Introduction to RStudio

rstudio interface — 1 mention · 1 page
01. Introduction to RStudio

run the computing codes to create a new variable — 1 mention · 1 page
05. Computing variables

run the recoding codes to create a new variable — 1 mention · 1 page
04. Recoding variables

sample — 1 mention · 1 page
Non-probability sampling methods

sampling — 1 mention · 1 page
Non-probability sampling methods

sampling concepts — 1 mention · 1 page
Non-probability sampling methods

sampling error — 1 mention · 1 page
Probability sampling methods

sampling methods — 1 mention · 1 page
Non-probability sampling methods

save r script file — 1 mention · 1 page
02. Introduction to data and scripting

scheduling an in-person meeting — 1 mention · 1 page
In-person office hours

scheduling an online meeting — 1 mention · 1 page
Online office hours

screenshot — 1 mention · 1 page
How to take a screenshot

search — 1 mention · 1 page
Search

self-completion survey — 1 mention · 1 page
Survey modes

short questions — 1 mention · 1 page
Survey questions

significance of correlation — 1 mention · 1 page
10. Correlation analysis

significance of extended family members — 1 mention · 1 page
Sociology of poverty

simple questions — 1 mention · 1 page
Survey questions

single-barreled questions — 1 mention · 1 page
Survey questions

social research process — 1 mention · 1 page
Social research: why and how

sociological perspective — 1 mention · 1 page
Sociology of poverty

software — 1 mention · 1 page
01. Introduction to RStudio

specific questions — 1 mention · 1 page
Survey questions

standard deviation — 1 mention · 1 page
03. Descriptive statistics

standardized odds ratio — 1 mention · 1 page
13. Logistic regression basics

steps of using rstudio — 1 mention · 1 page
01. Introduction to RStudio

strength of correlation — 1 mention · 1 page
10. Correlation analysis

strong correlation — 1 mention · 1 page
10. Correlation analysis

summary statistics — 1 mention · 1 page
03. Descriptive statistics

survey errors — 1 mention · 1 page
Survey modes

survey terminology — 1 mention · 1 page
02. Introduction to data and scripting

syllabus — 1 mention · 1 page
Syllabus

terminologies — 1 mention · 1 page
02. Introduction to data and scripting

test-retest — 1 mention · 1 page
Concepts and indicators

the three-step test — 1 mention · 1 page
The ABC’s of a research project

the uses of surveys — 1 mention · 1 page
Introduction to survey methodology

the “higher or lower” test — 1 mention · 1 page
The ABC’s of a research project

the “is there a causality” test — 1 mention · 1 page
The ABC’s of a research project

the “what about it” test — 1 mention · 1 page
The ABC’s of a research project

time and cost — 1 mention · 1 page
Probability sampling methods

two poor — 1 mention · 1 page
Sociology of poverty

types of regression modeling based on modeling type — 1 mention · 1 page
11. Linear regression basics

types of regression modeling based on outcome variable — 1 mention · 1 page
11. Linear regression basics

types of survey design — 1 mention · 1 page
Introduction to survey methodology

types of the variable — 1 mention · 1 page
03. Descriptive statistics

undeserving poor — 1 mention · 1 page
Sociology of poverty

unethical practices — 1 mention · 1 page
Research ethics

unit nonresponse — 1 mention · 1 page
Survey modes

unit of analysis — 1 mention · 1 page
11. Linear regression basics

use a model code — 1 mention · 1 page
04. Recoding variables

use the new (recoded) variables in computing code — 1 mention · 1 page
05. Computing variables

use the recoded (new) variable in analyses — 1 mention · 1 page
04. Recoding variables

using r script files — 1 mention · 1 page
02. Introduction to data and scripting

vague questions — 1 mention · 1 page
Survey questions

value — 1 mention · 1 page
02. Introduction to data and scripting

value label — 1 mention · 1 page
02. Introduction to data and scripting

variable label — 1 mention · 1 page
02. Introduction to data and scripting

variable name — 1 mention · 1 page
02. Introduction to data and scripting

variables and data types — 1 mention · 1 page
The ABC’s of a research project

viewer tab — 1 mention · 1 page
01. Introduction to RStudio

vif — 1 mention · 1 page
15. Regression assumptions and diagnostics

vulnerabilities of poor single-parent families — 1 mention · 1 page
Sociology of poverty

word count — 1 mention · 1 page
Word count and writing

working code — 1 mention · 1 page
02. Introduction to data and scripting

working space — 1 mention · 1 page
02. Introduction to data and scripting

Social research: why and how¶

18 new

01. Introduction to RStudio¶

14 new + 1 recurring

The ABC’s of a research project¶

16 new + 8 recurring

02. Introduction to data and scripting¶

26 new + 1 recurring

Introduction to survey methodology¶

12 new + 1 recurring

03. Descriptive statistics¶

13 new + 1 recurring

Concepts and indicators¶

19 new

04. Recoding variables¶

14 new + 5 recurring

Sociology of poverty¶

18 new

05. Computing variables¶

7 new + 5 recurring

Non-probability sampling methods¶

13 new

06. Chi-square analysis¶

5 new + 3 recurring

Probability sampling methods¶

10 new + 3 recurring

07. T-test analysis¶

1 new + 8 recurring

Research ethics¶

12 new

08. Probabilistic sampling¶

2 new + 3 recurring

09. Visualization¶

2 new + 3 recurring

Survey questions¶

17 new + 2 recurring

10. Correlation analysis¶

19 new + 1 recurring

11. Linear regression basics¶

17 new + 7 recurring

Survey modes¶

20 new + 1 recurring

12. Dummy variables¶

3 new + 4 recurring

13. Logistic regression basics¶

3 new + 7 recurring

14. Modeling exercises¶

0 new + 4 recurring

15. Regression assumptions and diagnostics¶

11 new + 7 recurring

RStudio install¶

1 new

Office hours¶

4 new

Online office hours¶

1 new

In-person office hours¶

1 new

Syllabus¶

1 new

Structure and due dates¶

2 new

Assignment submission¶

5 new

Word count and writing¶

1 new

How to take a screenshot¶

1 new

Search¶

1 new

Pane¶

2 new

Content tags¶

1 new

Graphs¶

4 new + 2 recurring

Glossary¶

4 new