If HE is accepted
and later turns out
not to be true
More likely if a
lenient probability is
used e.g. 10% level.
Type II Error
If HE is rejected and it
later turns out to be true
More likely if a
strict probability is
used e.g. 1%
Parametric and
Non-Parametric Tests
Non-Parametric
Use nominal + ordinal data,
simple, often subjective
scales, tests for
significance, convert scores
to ranks
sign test,
Wilcoxon test,
Mann-Whitney,
chi-squared +
Spearman's
Rank Order
Correlation test
Parametric
Use interval/ratio data,
contains info. about size of
difference between scores,
more powerful test of
significance
Related t-test,
independent t-test,
Pearson's Product
Moment
Correlation test
Correlations
Test for a link/ association
between 2 key variables
Research Hypothesis (instead of HE) used
to predict relationship e.g. 'there will be a
significant correlation between variable A
and variable B'
Positive Correlation
Variable A
increases as
variable B increases
Negative
Correlation
Variable A increases
as variable B decreases
Zero Correlation
No pattern/ relationship
Directional Hypotheses
& Tails of Test
Non-directional
Hypotheses
There will be a
significant difference in
the DV when IV is
changed
Used by researchers to
reduce experimenter bias
(e.g. when rejecting
anomalies
2-tailed statistical
test
Directional Hypotheses
Predict a significant
increase or significant
decrease in DV when IV
is changed
Only used when there is
strong previous evidence
about the direction of the
results
1-tailed Statistical
test
Reliability
External Reliability (test
re-test)
How consistent a
method measures
over time when
repeated (same
people under same
conditions e.g. IQ test
Correlate the results of a test
conducted on one occaision with the
results of a test conducted on a later
occaision (with same subjects). High
positive correlation = reliable method
Inter rater/ Observer Reliability
content
analysis/
observational
studies
1.) Clearly describe behaviour
to record (categorise)
2.) Observe same
ppts. for same amount
of time, independently
3.) Compare
results, if 90%
similar = reliable,
consistent
method
Validity
To what extent have you
measured the factor you
set out to measure;
whether other factors have
affected your results
e.g. Bigelow set out to measure children's
understanding of friendship, but instead
may have measured their language ability
Methods of
establishing Validity::
1.) Face Validity: look
at the method to see if
it appears to measure
what it is supposed to
measure; open to bias
2.) Concurrent Validity: give same ppts. the new
test, and an established test which measures the
same thing (or questionnaire). Test scores for
correlation - significant positive = valid
3.) Ecological Validity:where
the conditions of a test are so
controlled that they do not
represent how a situation
would occur naturally
Sampling
Target Population =
people that your
hypothesis relates
to and from whom
the sample is taken
Generalise = predict
future behaviour of
TP on basis of the
result of sample
Q-Sort Cards: used to measure
self esteem, select 4 cards,
convert into score of mood
Reliability: test re-test = do test
again on same ppts. after two
weeks, same results = reliable
Validity: Compare result's
correlation with an established
study (questionnaire), significant
+ve correlation = valid
Random/ Systematic Sample:
everyone in TP has an equal chance
of being selected, assigned numbers
Opportunity Sample: people who
are willing and convenient, likely to
be unrepresentative
Stratified Sample: Divided into groups (e.g.
gender, nationality, age) then random
representative sample from each group
Ethical Guidelines
Informed Consent
Verbal or written consent
after information about task
is explained, no deception
Consent for studies
involving children
Consent from parents (if
under 16) and child
wherever possible
Right of Withdrawal
Informed of right to
leave study at any
time in brief,
informed of right to
withdraw information
in debrief
Deceiving Participant
Explained in debrief,
consent to be
deceived, knowing aim
may affect behaviour
Protection from Physical
and Psychological Harm
Must be aware of consequences of
investigation, should feel no worse about
themselves after investigation, normalise by
informing of other ppts., counselling
Hypotheses
Experimental (HE)
Null
(Ho)
Alternative (H1)
Research (HR)
Descriptive Statistics
Averages
summarise set of
data into 1 value
Compare 2 sets of scores
Central point of
2 sets of scores
Mean: interval/ratio data
Median: Ordinal data
Mode:
Nominal data
Measures of Dispersal
How spread out a set of scores are
Tells yous if your
ppts. scores are
consistent or variable
Range: largest - smallest value,
affected by extreme scores
Standard Deviation: uses all
scores, use for interval/ ratio
data, measures the deviation
of each score from the mean
Quantitative
& Qualitative
Methods
Quantitative
+Controls extraneous
variables, +Establish
C&E. +Can test
hypothesis, +Can carry
out statistical tests
Qualitative
+Generates new theories, +High face validity, +High ecological
validity, +High level of detail; understand behaviour better