Exam 1 Terms Flashcards

1
Q

Alternative explanations

A

These are used to rule out other reasons for the observed outcomes.

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2
Q

Applied research

A

Scientific study focusing on solving problems, real world situations.

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3
Q

Basic research

A

Answers questions about nature of behavior

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4
Q

What is the measured thing within research?

A

Dependent variable

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5
Q

What is manipulated in research?

A

Independent variable

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6
Q

What is the control?

A

What you are comparing your independent variable to. Gives a base line.

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7
Q

Hypothesis

A

One possible answer to the question being asked. It is an the idea or questioned being studied

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8
Q

What type of review summaries past research?

A

Literature review, meta analysis is many studies about the same topic.

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9
Q

What is a theory article?

A

Gives the framework to understand a phenomenon.

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10
Q

Empirical research

A

Is the research that had been conducted and the data gathered to answer the question.

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11
Q

What are the goals of social science?

A

Describe the signs and symptoms
Predict the larger issues
Determine the cause or reason
Explain findings

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12
Q

Present/present bias

A

Focuses only on what is there and not what is missing or absent.

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13
Q

Conformation bias

A

Only looking for evidence that supports their claim

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14
Q

What are the three principles of Bulmont?

A

Beneficence: benefits and risks should be minimal
Respect for persons: they are able to decide to be in the study or not
Justice: receiving benefits of research as well as bearing the risks

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15
Q

Construct validity

A

Measuring the idea being asked

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16
Q

Internal validity

A

Are there other explanations for the results and how do you remove these confounds

17
Q

External validity

A

The results need to be generalized based on populations. This can be manipulated depending on who you are studying

18
Q

Statistical validity

A

Use a large sample to look at effect size

19
Q

What is the difference between type I errors and type II errors?

A

Type I - Conclude that there is an effect when there is not (false alarm)
Type II - Conclude that there is not an effect when there actual is one (miss)

20
Q

What is operational definition?

A

A definition of a variable is the set o procedures used to measure or manipulate the variable.

21
Q

Construct validity

A

The accuracy of the definition. Does the variable actually reflect the theoretical meaning of the variable?

22
Q

What are third-variable problem?

A

The relationship between the two variables

23
Q

Confounding variables

A

When tow variables are intertwined

24
Q

What are is the different between measure and manipulation?

A

Variables that are measured are dependent

Variables that are manipulated is independent

25
Q

What are the three types of claims?

A

Frequency
Association
Causal

26
Q

What is a frequency claim?

A

Single variable

How often? How many? What problem?

27
Q

What is association claim?

A

Two variables

No causation is implied: it is not clear what the cause is.

28
Q

What is causal claim?

A

At least two variables

One variable causes the other variable

29
Q

What are the three parts to causal claims?

A

Covariance
Temporal precedence
Internal validity

30
Q

Covariance

A

There is an association between A and B

31
Q

Temporal precedence

A

A comes before B in time

32
Q

Internal validity

A

There is not other possible causes for B except A

33
Q

What is internal consistency reliability?

A

Assessment of reliability using responses at only one point in time

34
Q

Nominal Scale

A

No numerical or quantitative properties categories groups by differences (sex, age, species)

35
Q

Orainal Scale

A

Ranks order of levels of the variables

gold, silver, bronze

36
Q

Intervals and Ratio Scales

A

Difference between numbers on scale are meaningful, have absolute zero point that indicate absences of variable being measured

37
Q

Double barreled questions

A

Questions that ask two things

38
Q

Loaded Questions

A

Written two long or not clear

39
Q

Negative wording

A

Negative words in the question that would put a bias