Lecture 2 - Theories, hypotheses and variables Flashcards

1
Q

Define a theory.

Give a few examples of theories in psychology.

A

Theory -

A formal statement of relations among the observable phenomena.

May contain hypothetical and unmeasurable constructs.

EXAMPLES

  • STM and LTM memory
  • Attachment theory
  • Cognitive dissonance theory
  • Triangle theory of love
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2
Q

What are complementary theories?

A

Complimentary theories -

Same phenomenon at different levels.

e.g.
Pupils contract in bright light
- Functional theory: protects the eye and provides optimal vision.
- Biological theory: retinal signal -> ganglion cells -> sphincter muscles

Both can be correct

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3
Q

What are conflicting theories?

A

Conflicting theories -

Same level but in different ways.

e.g.
Own-race bias in face recognition
- Genetic theory: born with innate ability
- Developmental theory: developed ability

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4
Q

Define hypothesis.

A

Hypothesis -

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.

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5
Q

Define null hypothesis.

A

Null hypothesis -

What must be true if the hypothesis is not true.

e.g.
H1: Swearing reduces pain perception
H0: Swearing has no effect or increases pain perception.

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6
Q

Define a directional hypothesis.

Is it one tailed or two tailed?

A

Directional hypothesis -

  • One tailed

Specifies a specific direction of effect

e.g.
Group A will have higher scores than Group B

H1: A > B
H0: A ≤ B

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7
Q

Define a non directional hypothesis.

Is it one tailed or two tailed?

A

Non directional hypothesis -

  • Two tailed

Direction of difference not specified

e.g.
Group A will have different scores than Group B

H1: A ≠ B
H0: A = B

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8
Q

Define a variable.

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 operationalised variables.

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9
Q

Describe what operationalising means.

A

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.

Typically NOT a definition.
e.g.
An IG test is NOT definition of intelligence but it might be the operationalisation of intelligence for the purpose of the experiment.

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10
Q

Define a dependent variable.

A

Dependent variable -

A response or behaviour that is measured that may be affected by changes to the independent variable.

  • Needs to accurately reflect the performance being assessed.
  • Must show good variability over legitimate changes.
    (no floor or ceiling effects)
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11
Q

What are ceiling effects?

A

Ceiling effects -

Occurs when there is some upper limit on a survey or questionnaire and a large percentage of respondents score near this upper limit.

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12
Q

Define validity.

A

Validity:

The DV measures what is supposed to be measured.

Is a continuum not an absolute.

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13
Q

Define reliability.

A

Reliability -

Produces consistent measurement in the same situations.

Is a continuum not an absolute.

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14
Q

When should you decide to use more than one dependent variable in your research design?

A

To check that something else is not also varying.

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15
Q

Define an independent variable.

A

Independent variable -

What we manipulate as predictors (causes)

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16
Q

What are the three types of IV?

Describe each one.

A

Physiological IV
- An experimenter induced change in physiological state.

Experience IV
- Manipulation of training or experience priorate testing.

Stimulus IV
- A manipulation of environment presented to the participant.

17
Q

If a stats test is significant and we ‘accept’ the hypothesis:

p < 0.05
or
p > 0.05

?

A

If a stats test is significant and we ‘accept’ the hypothesis:

p < 0.05

18
Q

Describe what a p value is.

A

p value -

Probability of the observed difference if the null hypothesis were true.

19
Q

If a stats test is non significant and do not reject H1 or H0:

p < 0.05
or
p > 0.05

?

A

If a stats test is non significant and do not reject H1 or H0:

p > 0.05

20
Q

Define replication.

A

Replication -

Repeat the experiment in the same way in order.

One recent study found only 39% of psychological studies replicated significant results.

21
Q

Define a meta analysis.

A

Meta analysis -

Looks at the effect sizes of all studies in a particular field.