Research and Statistics Flashcards

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1
Q

What are the 4 categories of Statistics?

A
  1. Nominal
  2. Ordinal
  3. Interval
  4. Ratio
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2
Q

Define Population in relation to research

A

Complete set of events in which you are interested.

Note that a population is not always a group of people. It can also be a group of stimuli.

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3
Q

What is a sample?

A

A smaller group of the population

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4
Q

What is a Random Sample?

A

Participants selected at complete random in an arbitrary way

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5
Q

What is an Independent Variable (IV)?

A

Variable manipulated by the

experimenter. Variable you want to test.

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6
Q

What is a Dependent Variable (DV)?

A

Variable that you measure. This variable is dependent on the independent variable.

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7
Q

What are Confounding Variables?

A

Variables that have a systematic effect on the dependent variable, but in which you are not interested. It is very important to remove confounding variables from your study.

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8
Q

What are Random Variables?

A

Variable that has a random effect on the dependent variable and which you are not interested. These variables result in “noise” in the data and should be limited as much as possible.

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9
Q

What is an example of a Non-random assignment in between participants design

A

If participants can choose whether they are in the alcohol condition, then bad drivers may be more often in that condition.

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10
Q

How can History affect research?

A

Events that occur between different tests may affect the outcome of the tests. (E.g., researcher investigates effect of exercise programme on health, but during the programme, participants don’t walk outside because of snow and ice.)

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11
Q

How can Maturation affect research?

A

Participants change over time. (E.g., Children’s cognitive performance is higher before than after a training programme. However, children have also become older, resulting in higher cognitive performance.)

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12
Q

Explain:

Order/testing effects

A

Performance on second test is affected by the first. Due to practice effects with the test, participants may score higher on 2nd than 1st test, and due to fatigue they may score lower on the 2nd test.

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13
Q

What is a Placebo effect?

A

Participants perform better because they believe that the manipulation should make them perform better.

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14
Q

What is Regression towards the mean?

A

When you select participants on the basis of their very high/low scores, they tend to have a lower/higher score when you test them a second time, because their initial low score is likely to be partly due to chance.

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15
Q

What is Mortality?

A

Performance improves at the 2nd test because the worst participants have dropped out (sometimes because they died, but often because they did not want to take part in the 2nd test).

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16
Q

What is a Null Hypothesis?

A

In a statistical test the hypothesis that there is no significant difference between specified populations, any observed difference being due to sampling or experimental error.

17
Q

What is a Non-directional/two-tailed hypothesis?

A

States that there will be a difference between the two groups/conditions but does not say which will be greater/smaller, quicker/slower etc.

18
Q

What is a Directional/one-tailed hypothesis?

A

Predicts the nature of the effect of the independent variable on the dependent variable. E.g., adults will correctly recall more words than children

19
Q

What is Naturalistic Observation?

A

An experimenter observes the behaviour of participants in a study and keeps a record of their behaviour and the frequency with which they do certain things.

Frequency and association claims, no causation claims.

20
Q

What are Surveys?

A

A series of questions (either multiple choice or open ended).

Frequency and association claims, generally no causation claims.

21
Q

What is Quasi-experimental research?

A

Examining the effects of one or more naturally occurring independent variables (e.g., gender) on a dependent variable

Frequency and association claims, but causation claims are more difficult. Frequency claims are generally not the purpose of the research.

22
Q

What is Experimental Research?

A

Manipulation of one (or more) independent variables while controlling for other, confounding variables.

Frequency, association and causation claims. Causation claims are generally the purpose of the research.

23
Q

What is a Frequency claim?

A

How often does something happen?

24
Q

What is an Association claim?

A

Is there a relationship between two variables? If participants score high on one variable, do they also score high (or low) on another variable?

25
Q

What is a Causal claim?

A

Does one variable cause differences in another variable?

26
Q

What is External Validity?

A

The results can be generalised to other (more natural) settings, people and circumstances.

27
Q

What is Internal Validity?

A

The relationship between the independent and dependent variable is not due to confounding variables in the study.

28
Q

What are threats to External Validity?

A
  • Sample is not representative of whole population.

- Study situation is not representative of real-life situation

29
Q

What are threats to Internal Validity?

A

-Confounding Variables

30
Q

What is Reliability?

A

Consistency of the measurement. If the study is done again under the same conditions, a reliable measurement procedure will produce the same results.

31
Q

What are some threats to Reliability?

A

Observer error
Equipment error
Environmental changes
Participant changes