Research Design - Theories, Hypotheses And Variables Flashcards
theory
- A formal statement of relations among the observable phenomena.
- May contain hypothetical and unmeasurable constructs.
- Can give order to a body of scientific data.
Are not just merely descriptive but can be used to make testable predictions about unknown outcomes.
its a set of logically consistent statements about some phenonmenon that best summarises existing empirical knowledge of the phenomenon, organises this knowledge in the form of precise statements of relationships among variables ie laws, proposes sn explanation for then phenomenon and serves as the basis for making predictions. these predictions are then tested with research. theories in psychology differ in scope. some cover broad expanses of behaviour and are general theories. however more often a theory is focused on a specific aspect of behaviour. theories also differ in levels of precision some are strict in mathematical terms and others
described more simply as a set of logically connected statements.
an important feature of any theory is its continual evolution in light of new research. no theory is ever complete.
theories in psychology
- STM and LTM memory
- Attachment theory
- Cognitive dissonance theory
Triangle theory of love
hypothesis
- specific and way of testing a theory
- An attempt to organise certain data and specific relationships within a specific portion of a larger, more comprehensive theory.
- Generated from a theory.
- Can be precisely stated as a relationship between two measurable properties.
Can be falsifiable.
generate hypotheses from these theories
- Selective serotonin reuptake inhibitors (SSRIs) reduces depression…
- A lack of access to books in the home reduces child literacy…
- Listening to Mozart improves pupils’ learning…
Attending lectures improves grades…
null hypothesis
- What must be true if the hypothesis is not true.
- H1: SSRI treatment reduces BDI scores
- H0: SSRI treatment has no effect or increases BDI scores
- H1: Women have different IQs than men
H0: Women have the same IQs as men
directionality of hypothesis
- Directional hypothesis: one tailed
- Specifies a specific direction of effect
- Group A will have higher scores than Group B
- H1: A > B. H0: A ≤ B
- Non directional hypothesis: two tailed
- Direction of difference not specified
- Group A will have different scores than Group B
H1: A ≠ B. H0: A = B
a hypothesis leads an experiment
Experiments can provide evidence that a hypothesis is true.
* Typically, by showing the null hypothesis to be probably false.
* Experiments need variables…
What is a variable?
* Something that varies or can be varied!
* Must have at least two possible values.
* Must be observable and recordable.
Research is all about operationalized variables
operationalisation
- Each variable needs to be described clearly and unambiguously:
- A description of a construct such that another researcher can produce or measure the same thing.
- It is typically not a definition.
Eg An IQ test is not a definition of intelligence but it might be the operationalization of intelligence for the purpose of the experiment.
what do experimental psychologists do?
How does ______ affect _____?
e.g.:
How does smiling affect mood?
How does authority affect compliance?
How does inversion affect face recognition?
How does SSRIs affect depression scores?
How do hormones affect perception?
Independent variables
Dependent variables
Dependent variables
What we measure as outcomes (effects)
Dependent variable
* A response or behaviour that is measured that may be affected by changes to the independent variable.
* It needs to accurately reflect the performance being assessed.
It must show good variability over legitimate changes.
Independent variables
What we manipulate as predictors (causes)
variables must be
- Valid: That it measures what is supposed to be measured.
- How valid is recalling numbers strings a measure of cognitive function?
- The write up of a results should discuss what was measured (recalling digits) rather than what we hope we measured (cognitive function).
- Validity is a continuum not an absolute.
- Reliable: Produces consistent measurement in the same situations.
- Can be assessed by test-retest procedure
- Test of correlations between individual items
Cronbach’s Alpha - Multiple measurements are more reliable.
- Inter-rater reliability
Reliability is a continuum not an absolute. - test-retest and split-half
Becks depression inventory 21 four-option questions -
· Validity - good
· Good face validity
· Good correlation with clinical assessment through symptoms. (.66 - .76)
· BDI correlates with sense of humour loss
· BDI correlates with pessimism
· Reliability - good
· Test-retest reliability .90
· Cronbach’s Alpha .75 - .90
Over .7 is considered reliable
Hypothesis testing
- H1: A ≠ B. H0: A = B
- Tests whether we can reject the null hypothesis.
- Finds a p value. [Probability of the observed difference if the null hypothesis were true]
- p < .05 ‘accept’ the hypothesis
- Significant.
If stats are not significant (often p > .05) then we cannot reject H1 or H0.
More than one dependent variable
- With one IV and 100 different DVs (from 100 different cognitive tests) we are bound to find some ‘significant effects’.
- In fact, increasing the number of DVs means that it is harder to get a real significance effect (Bonferroni correction).
- Target p value (alpha) is divided by number of tests.
So if there are 5 tests done, p must be less than .05/5 which is .01.
significance and publishing the scientific literature
two conflicting theories - identify different predictions - construct a hypothesis that would be true for only one of the theories - operationalise the hypothesis into IVs and DVs - run the experiment to test the hypothesis
- nonsignificant - p > 0.05 - can’t distinguish between theories, don’t publish results
- significant - p < 0.05 - support one theory over the other, publish results