week 4 Flashcards
what variable do we use to measure population
N
what are the five phases in a quantitative study
- conceptual: start to think about the issue
- design and planning: matching research question to design
- empirical phase: go out and collect evidence
- analytic phase: analysis of evidence found
- decimation of evidence: rationale, share results and conference about it
what are the five key elements of quantitative research
- hypothesis
- theoretical framework: how they will approach the question
- literature review: used to identify problem statement
- problem statemetn
- design
whats the difference between sampling, data collection, and data analysis
all are used in quant designs
sampling: units of the target population selected for the study
data collection: ways info was collected
data analysis: manipulating data to answer the research question
what is an independent variable
the intervention in the study what
what is a dependent variable
outcome of the intervention
what are extraneous variables
variables that are not the focus of the study but can influence the outcome if not controlled
random things that could influence the outcome
what are confounding variables
variables that unintentionally affect the dependent and independent variable
more caused by the independent variable
more predictable
what are the two non experimental types of quantitative research
descriptive : no intervention, just observation and data collection
correlational research: measures relationship but does not imply causation (relationship between x and y)
what are the two experimental types of quantitative research
quasi-experimental: same level of manipulation without random assignment (intent is to test, not prove)
experimental: involves randomisation and manipulation of control groups and manipulation of all other variables
what type of quantitative research is a randomised control trial
experimental
what type of testing is considered the gold standard for testing cause and effect relationships
RCT
what is temporal ambiguity threat to validity
order in which variables influence each other
what is selection threat to validity
pre-existing differences between groups
what is history threat to validity
concurrent events happening during the study that could influence outcomes