Chapter 9: Drawing Conclusions Flashcards

You may prefer our related Brainscape-certified flashcards:
1
Q

An experiment is __________ _____ when the effects on the dependent variable are due to the independent variable.

A

Internally valid.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

An internally valid experiment is free of ___________.

A

Confounding.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

This evaluates how well the experimenter manipulated the experimental situation.

A

Manipulation check.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

This determines whether subjects followed directions and were appropriately affected by the treatments.

A

Manipulation check.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Three (3) mistakes that produce a threat to internal validity.

A
  1. Selecting the wrong statistical test.
  2. Improperly using a statistical test.
  3. Drawing the wrong conclusions from a test.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

This is when the findings of an experiment can be extended to other situations and populations.

A

External validity.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

This refers to the extent to which the findings of a study can be generalized to, or have relevance for, settings, people, times, and measures beyond the specific conditions of the study.

A

External validity.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

The three (3) key components of external validity.

A
  1. Population validity.
  2. Ecological validity.
  3. Temporal validity.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

A key component of external validity; asks whether the study participants are representative of the broader population.

A

Population validity.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

A key component of external validity; asks whether the study conditions reflect real-world situations.

A

Ecological validity.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

A key component of external validity; asks whether the findings are applicable over time.

A

Temporal validity.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

To improve external validity, researches can do these three (3) things, which are?

A
  1. Use diverse samples (include participants from various backgrounds, age groups, and settings).
  2. Conduct field studies (perform research in natural settings rather than controlled lab settings).
  3. Replicate studies (conduct the same study in different contexts to see if findings hold true across various conditions).
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

The two (2) requirements that an externally valid study must satisfy.

A
  1. The experiment must be internally valid.
  2. The experimental findings can be replicated.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Four (4) reasons for bias in samples.

A
  1. Convenience sampling.
  2. Self-selection (individuals who are particularly interested in a topic are more likely to participate, leading to overrepresentation in the group).
  3. Limited age range.
  4. Explain generalizing from procedures to concepts.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

A study achieves this when its findings clarify or extend knowledge gained from previous studies and raise implications for broader theoretical issues.

A

Research significance.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

When should we question novel (new) findings?

A

When they contradict prior findings that have been successfully replicated.

17
Q

In 1980, he found that more laboratory than field studies reported a positive correlation between reported attitudes and behavior.

A

Hanson.

18
Q

This refers to the grouping together and averaging of data to increase external validity.

A

Aggregation.

19
Q

This uses statistical analysis to combine and quantify data from many comparable experiments to calculate an average effect size.

A

Meta-analysis.

20
Q

This design studies multiple dependent variables (DVs).

A

Multivariate design.

21
Q

The method used to analyze multivariate experiments.

A

Multivariate analysis of variance (MANOVA).