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Research Method Communications > Final > Flashcards

Final Flashcards

1
Q

Nominal, ratio, or interval?

Year in school

A

Interval

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2
Q

Nominal, ratio, or interval?

Major

A

Nominal

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3
Q

Nominal, ratio, or interval?

Residential hall

A

Nominal

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4
Q

Nominal, ratio, or interval?

Number of hours watched TV per week

A

Ratio

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5
Q

Nominal, ratio, or interval?

Likely scale for flyer news article

A

Interval

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6
Q

Nominal, ratio, or interval?

IQ

A

Interval

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7
Q

Nominal, ratio, or interval?

City birth

A

Nominal

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8
Q

How to reduce something from ratio to nominal?

A

Simplify the question

1) ratio- how much money do you have in your wallet,
2) nominal- do you have money in your wallet

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9
Q

When to use independent samples t test

A

When comparing two groups’ means. Groups randomly sorted. Groups can be sorted by the IV which could be an intervention (control or experiment) or an already established group (men or women)

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10
Q

When to use dependent or paired samples t test

A

When comparing single groups means against itself after intervention

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11
Q

When to use one way anova

A

When comparing 3+ group means. This test ONLY tells you if there is a difference but doesn’t tell you where the difference test is. That what post hoc tests are for

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12
Q

When to use chi square

A

When were comparing free quenched of nominal data

Ex- gum chewing and gender

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13
Q

When do we use a correlation

A

Wen were looking to see if two interval or ratio variables are related

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14
Q

What is the difference between parametric and non parametric tests

A

Bon parametric tests use nominal and ordinal information

Parametric tests use interval and ratio data

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15
Q

Hypothesis design:

Independent samples t test

A

Active hypothesis: non directional(two tailed)- if group one goes through IV, then there will be a difference between the groups on DV scores // directional (one tailed)- if group one goes through IV, then group one will score better or worse than group two.

Null hypothesis: the IV will have no effect on the DV

Research question: would there be an effect of IV on DV?

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16
Q

Hypothesis design:

Dependent samples t test

A

Active hypothesis: non directional(two tailed)- if we introduce the IV, then there will be a difference between the groups on the DV scores // directional (one tail) if we introduce the IV, then the DV scores will be better or worse

Null hypothesis: there will be no effect of the IV on the DV

Research question: will there be an effect of IV on DV?

17
Q

Hypothesis design:

Chi square

A

Active hypothesis: the data is consistent with a specific distribution

Null hypothesis: the data is not consistent with a specific distribution

Research question: will the data be consistent with a specific Distribution?

18
Q

Hypothesis design:

One way anova

A

Active hypothesis: there will be a difference somewhere in DV scores when grouped by IV

Null hypothesis: there will not be a difference between DV scores when grouped by IV

Research question: will there be a difference somewhere in DV scores when grouped by IV?

19
Q

Hypothesis design:

Correlation

A

Active hypothesis: there is a relationship between two variables.

Null hypothesis: there is not a relationship between two variables.

Research question: is there a relationship between two variables.

20
Q

Internal validity:

Selection bias

A

The participant modifies their answer to support or challenge the hypothesis instead of being honest

21
Q

Internal validity:

History

A

A world wide event happens that changed the entire samples experience

22
Q

Internal validity:

Maturation

A

An individual changes in such a way that affects the data

23
Q

Internal validity:

Repeated testing/testing effects

A

The participants end up scoring better on a task not because of an intervention but because by being tested they essentially were practicing

24
Q

Internal validity:

Instrumentality

A

A problem with the actual measuring instrument occurs

25
Q

Internal validity:

Mortality

A

Someone died or drops out of the study

26
Q

Internal validity:

Regression toward the mean

A

When fun enough Gomes. Data set will eventually run closer to the mean

27
Q

Internal validity:

Experimenter bias

A

The experimenter somehow does dorm thing to get people to react in a way the supports the active hypothesis

28
Q

Type one error

A

When the p

29
Q

Type 2 error

A

When the p> or = .05

When you do not find a significant effect

30
Q

Sampling error

A

Anything UNLESS you are using the entire population

31
Q

Nominal, ratio, or interval?

Age

A

Ratio

Research Method Communications (1 decks)

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