quantitative research Flashcards
(20 cards)
nominal/categorial
numbers are used to represent conditions - NOT quantitative - race, marital status
ordinal
values of variables are ranked - likert or pain scale
ratio
differences are measurable - quantitative - # of siblings, income
operationalization
how concepts are translated to variables - (concept: school - Different variables - years of schooling/highest degree achieved/bachelor’s degree or no)
deductive coding
codes developed in advance (quantitative)
inductive coding
codes found in transcripts (qualitative)
secondary analysis
analysis of data already collected
advantages of secondary analysis
large sample size, cost,
disadvantages of secondary analysis
can’t choose questions, little to no control of
data scraping
data of online behaviors
quantitative content analysis
study of what people produce - art, books, magazines
descriptive statistics
tell us about distribution of a variable
central tendency
gives quick picture of content of a variable - mean/median/mode
proportion
percentage of variable
inferential statistics
measure relationship between 2+ variables
knowing 1 variable helps us infer what the next one might be
bivariate statistics
measure relationship between 2 variables
cross tab
useful for calculating relationship between 2 variables when 1 of them is nominal/categorial
negative correlation
increase in variable 1 leads to decrease in variable 2
positive correlation
increase in variable 1 leads to increase in variable 2
correlation coefficient
measures relationship between 2 ratio level variables - between -1&1 - closer to 1 = correspond better to each other
