Please enable JavaScript.
Coggle requires JavaScript to display documents.
Introduction to social science methods (Secondary data analysis…
Introduction to social science methods
The problem with surveys
Inaccuracies
Omissions (lacking categories)
Phrasing and question sequence
MEmory
Social desirability
Interviewer effects
Intensive data collection
Designing and conducting surveys costs a lot of time and money
Obtrusive
People know that they are filling in a survey, so they may alter their response
BEhaviour
In a survey you can only ask about behaviour, but what people say may differ from what people do
Secondary data analysis
Data from other researchers
Replication of others' analyses from fresh perspective
Data collection is expensive, so often researchers collect more data than they actually see
Official statistics and administrative data (e.g. governments)
Often based on officially relevant characteristics (sex, job, education, revenue, etc)
ADVANTAGES
Cheap and fast
People dont know that they are being studied
Longitudinal and comparative
DISADVANTAGES
Not collected for researcher purposes
Categories may differ over time
REgistration may be incomplete or sloppy
Sometimes not yet digitized
Meta analysis
Big data
Data from research institutes
Professional organizations specialized in data collection
Constant stream of new data
Often freely available (for scientific purposes)
Professionally collected data
High quality data
MEasurement validity extensively tested
High response rates
LArge samples
External validity
Subgroup analysis
OFten longitudinal
OFten comparative
ADVANTAGES
cheap and fast
More time for analysis
DISADVANTAGES
Large datasets are organised in complicated ways
Unfamiliarity with data
Costs a lot of time to understand
No control over the quality of the data
Restricted to variables that are avaliable in the research
Quantitative content analysis
DEFINITION: The quantification of the contents of visual, written or spoken communication
Research questions have a massive impact on sampling and categorizing
Sampling
Which types of texts and media are going to be studied?
Which samples will be drawn and on what basis?
What time frame?
Coding
What is going to be quanitfied
ACtors
Words
Subjects and themes
Dispositions
Relevant elements need to be categorized by assigning a code to them