RM - Types of Data Flashcards
(14 cards)
Quantitative Data Definition
Expressed numerically (MP1) can be gained from individual scores in experiments (e.g no of words recalled) (MP2)
Strength of Quantitative Data:
P: simple to analyse
E: allows comparisons to be drawn and patterns + trends to be established
E: easier to make conclusions about behaviour (CONTEXT)
L: qualitative data = wordy = difficult to summarise statistically = harder to draw comparisons
Weakness of Quantitative Data:
P: lacks depth and meaning
E: prevents ppts from developing thoughts, feelings, opinions on subject (CONTEXT)
E: may lack vital detail, ↓ internal validity
L: qualitative data = rich in detail = greater understanding of human behaviour
Qualitative Data Definition:
Descriptive data (MP1) written description of thoughts/feelings/opinions of ppts (e.g notes from interview, open question answers) (MP2)
Strength of Qualitative Data:
P: provides rich detail and depth
E: ppts can develop their thought + feelings on subject
E: greater understanding of behaviour being studied (CONTEXT)
L: quantitative data = data is numerical = lacks depth and meaning
Weakness of Qualitative Data:
P: harder to analyse
E: difficult to statistically summarise to establish patterns and trends
E: opens data up to potential researcher bias as analysis based on own subjective interpretations of data(CONTEXT)
L: quantitative data = analysed statistically = establish patterns and trends = easier to make objective conclusions about behaviour
Primary Data Definition:
Gained directly from ppts (MP1) specific to aim of study (MP2)
Strength of Primary Data:
P: specific to aim of study
E: allows researchers to target the specific info they need
E: ↑ internal validity
L: secondary data = may not meet direct aims of researcher = may be less useful
Weakness of Primary Data
P: takes time and effort
E: conducted by researcher (CONTEXT)
E: will take time to obtain data and analyse findings (CONTEXT)
L: secondary data = easily accessed = requires minimal effort = ↓ time and cost needed to conduct research
Secondary Data Definition
Previously collected by a 3rd party (other researcher or official (e.g government)) and used by researcher(MP1) not specific to aim of study (MP2)
Strength of Secondary Data
P: easily accessed, requires minimal effort to obtain
E: data the researcher needs may already exist
E: no need to collect primary data
L: primary data = requires time and effort to obtain data and analyse findings
Weakness of Secondary Data:
P: poor quality/inaccuracies
E: may be valuable at first but could be outdated or incomplete
E: might not meet direct needs of researcher (CONTEXT)
L: primary data = collected directly from ppts and specifically for aims of research = requires minimal effort = ↑ overall internal validity
Strength of Meta Analysis
P: data gathered from a number of studies
E: allows us to view data with much more confidence
E: ↑ generalisability of findings across much larger populations
L: ↑ external validity
Weakness of Meta Analysis
P: open to publication bias
E: researcher may not select all the relevant studies, leaving out studies with negative/non-significant results
E: data = biased = only represents some of the relevant data
L: incorrect conclusion drawn = ↓ internal validity