Chapter 4 Flashcards

(37 cards)

1
Q

Hypothesis Testing

A

A procedure for deciding whether the outcome of a study supports a particular theory of practical innovation

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2
Q

Hypothesis

A

Prediction

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3
Q

What are hypotheses based on?

A

Informal observation,
Previous research,
Theory

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4
Q

Theory

A

Set of principles that attempt to explain one or more facts, relationships, or events

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5
Q

What do theories explain?

A

Important psychological processes

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6
Q

What do theories lead to?

A

Various specific hypotheses that can be tested in research studies

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7
Q

Why is hypothesis testing used?

A

Allows experimenters to reject certain hypotheses and ideas based on results of the sample studied

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8
Q

Research Hypothesis

A

Statement in hypothesis testing about the predicted relation between the two populations being tested

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9
Q

Null Hypothesis

A

Statement about a relation between populations that is the opposite of the research hypothesis

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10
Q

What population mean is lower in a research hypothesis?

A

Population 1

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11
Q

What population mean is lower in a null hypothesis?

A

There is no difference

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12
Q

Comparison Distribution

A

Represents the population situation if the null hypothesis is true

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13
Q

When is a comparison distribution used?

A

In hypothesis testing to compare the score based on your sample’s results

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14
Q

Cutoff Sample Score

A

Point in hypothesis testing that if reached or exceeded by the sample score, you reject the null hypothesis

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15
Q

What is the cutoff score also called?

A

The critical value

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16
Q

Example of Conventional Levels of Significance

A

P < .05 or P < .01

17
Q

Statistically Significant

A

Conclusion that the results of a study would be unlikely if in fact the sample studied represents a population that is no different than the population in general

18
Q

Steps for the Hypothesis Testing Process (5)

A
  1. Restate the question as a research hypothesis and a null hypothesis about the populations
  2. Determine the characteristics of the comparison distribution
  3. Determine the cutoff sample score on the comparison distribution at which the null hypothesis should be rejected
  4. Determine your sample’s score on the comparison distribution
  5. Decide whether to reject the null hypothesis
19
Q

What is being said when the null hypothesis is rejected?

A

Your results support the research hypothesis

20
Q

What is being said when the null hypothesis cannot be rejected?

A

Does not support the null hypothesis

Results are not statistically significant

21
Q

Inconclusive

A

Results are not extreme enough to reject the null hypothesis

22
Q

Directional Hypothesis

A

Research hypothesis predicting a particular direction of difference between populations

23
Q

One-Tailed Test

A

Situation in which the region of the comparison distribution (for when the null hypothesis would be rejected) is all on one side (tail) of the distribution

24
Q

Nondirectional Hypothesis

A

Research hypothesis that does not predict a particular direction of difference between the populations

25
Two-Tailed Test
Situation in which the region of the comparison distribution (for when the null hypothesis would be rejected) is divided between the two sides (tails) of the distribution
26
How to determine the cutoff scores with a two-tailed test?
Have to divide the significance percentage between the two tails
27
If a one-tailed test is chosen...
The result is extreme in the direction opposite to what was predicted and cannot be considered statistically significant, no matter how extreme
28
When do you use a one-tailed test?
When you have a clearly directional hypothesis
29
When do you use a two-tailed test?
When you have a clearly nondirectional hypothesis
30
What are some subtle concerns about significance testing?
Does it make sense to worry about rejecting the null hypothesis when it is extremely unlikely to be true that there was no effect at all? The foundation of hypothesis testing, populations, and samples
31
What is the majority view on significance tests?
The way hypothesis testing is used by researchers is reasonable despite the minor adjustments that need to be made
32
Why is Baye's theorem hotly debated?
Using this method sometimes showed results much less strong/significant than other methods
33
Bayesian Approach
Actually computing the odds of the research hypothesis being more likely than the null hypothesis
34
Baye's Factor
The odds calculated from the Bayesian approach
35
When do the Baye's Factor Odds usually favor the research hypothesis?
When the standard method used is significant
36
When do the Baye's Factor Odds usually favor the null hypothesis?
When the standard method used is nonsignificant
37
What is the biggest complaint of significance testing?
The standard meaning is interpreted incorrectly Researchers decide that if a result is not significant then the null hypothesis is shown to be true rather than inconclusive