Research methods Flashcards
type 1 error
false positive
(lenient levels of significance)
type 2 error
false negative
(strict levels of significance)
Hypothesis
Predicted statement
alternate/experimental
IS difference
Null
NO difference
one tailed
directional
in cases of previous research
two tailed
non directional
difference but unsure of what direction
aim
intends to investigate
field experiment
natural setting, IV manipulated
Quasi
IV based on pre existing difference between people e.g age, gender. (not manipulated it simplt exists)
DV may be naturally occuring e.g exam results
stratified sample
participants selected according to frequency in target population
e.g subgroups are identified (gender), percentages of these groups are reflective in the sample
positive correlation
co variables rise or fall together
negative correlation
one co variable rises the other falls
mean
arithmetic average, add all scores and divide by amount there are
median
middle value
mode
most common
range
measure of dispersion
difference between highest and lowest
standard deviation
measure of dispersion
measure of average spread around mean. Larger the SD the more spread out the data
histogram
bars touch one another as data is continuous
probability
likelihood that certain events will occur 0.05
percentage
divide by 100
% to decimal
remove %
move decimal 2 to left
decimal to fraction
work out number of decimal places
2 = denominator 100
3 = denominator 1000
find lowest common denominator
normal distribution
symmetrical, bell curved
mean, median and mode all occupy mid point
skewed distribution
lean to one side
positive- right
negative- left
measures of central tendency
descriptive data statistics that depict an overall ‘central’ trend of a set of data
measures of dispersion
Measures of dispersion describe the spread of data around a central value (mean, median or mode).
They tell us how much variability there is in the data.
There are two measures of dispersion: range (where you subtract the lowest score from the highest score) and standard deviation (SD) – which calculates the spread of scores around the mean
content analysis
identify patterns in recorded communication, coverts qualitative into quantitative
uses coding units and tallies