secondary data analysis

Question 1

Expert coded data sets

Answer 1

experts provide estimates and assessments of various measures ; usually opinion based

Question 2

Researcher coded datasets

Answer 2

coded by teams of researchers based on publicly available information i.e news sources, academic articles

Question 3

types of secondary data

Answer 3

surveys , official statistics , quantified text

Question 4

data repositories

Answer 4

datasets used by researchers in their own work

Question 5

what to look for ?

Answer 5

variables - columns in data sets
coded book - lists all variable names what they measure and range variable can take on
file formats - what file extension does the dataset use ?

Question 6

types of variables

Answer 6

Categorical, ordinal, continuous

Question 7

categorical variable

Answer 7

binary-only 2 categories
nominal-more than 2

Question 8

ordinal variable

Answer 8

same as nominal BUT CATEGORIES HAVE logical order

Question 9

continuous

Answer 9

interval - equal intervals on the variable represent equal differences in property being measured
ratio variable - same as interval but the ratios of scores on the scale must also make sense

Question 10

benefits of using secondary data

Answer 10

Quality : secondary data often of higher quality , part of collective project , usually of larger scale
Longer time scale :collected over periods of time
valid and reliable

Question 12

Disadvantages

Answer 12

-unable to make CAUSAL INFERENCES because secondary data sources not experimental
- inaccuracies
-limitations on samples : these samples covered may not be what pop u want