New - Ch 3 (NoteLM) Flashcards

1
Q

Temporal precedence

A

The causal variable comes before the effect variable in time.

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2
Q

Covariance

A

Two variables are observed to change together.

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3
Q

Random assignment

A

Assigning participants to different experimental conditions randomly to minimize systematic differences between groups.

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4
Q

Internal validity

A

he extent to which a study eliminates alternative explanations for the observed effect, establishing a causal link between variables.

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5
Q

Statistical validity:

A

The extent to which the study’s statistical conclusions are accurate and reasonable.

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6
Q

External validity

A

How well the results of a study can be generalized to other populations, settings, and times.

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7
Q

Construct validity

A

How well a conceptual variable is operationalized (measured or manipulated).

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8
Q

Validity

A

The appropriateness, accuracy, and justifiability of a claim or conclusion.

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9
Q

Dependent variable

A

The variable measured in an experiment to see if it is influenced by the independent variable.

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10
Q

Independent variable:

A

The variable manipulated by the researcher in an experiment.

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11
Q

Experiment

A

A research method where a researcher manipulates one variable (independent variable) to observe its effect on another variable (dependent variable).

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12
Q

Zero association:

A

When there is no systematic relationship between two variables.

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13
Q

Negative association:

A

When one variable increases, the other variable tends to decrease.

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14
Q

Positive association:

A

When one variable increases, the other variable tends to increase as well.

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15
Q

Causal claim:

A

A claim that argues one variable is responsible for causing changes in another variable.

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16
Q

Association claim:

A

A claim that suggests two variables are related.

17
Q

Frequency claim:

A

A claim that describes a particular rate or degree of a single variable.

18
Q

Operational definition:

A

A specific way a conceptual variable is measured or manipulated in a research study.

19
Q

Conceptual variable (construct):

A

A theoretical definition of an abstract concept being investigated.

20
Q

Manipulated variable:

A

A variable that a researcher controls, typically by assigning participants to different levels of that variable.

21
Q

Measured variable:

A

A variable whose levels are observed and recorded as they naturally occur.

22
Q

Constant:

A

Something that could potentially vary but has only one level in a particular study.

23
Q

Variable

A

Anything that varies and can take on different values or levels.

24
Q

Why is it challenging for a single study to satisfy all four validities simultaneously?

A

Prioritizing one type of validity often involves trade-offs with others. For example, enhancing internal validity in a lab setting might reduce the external validity of the findings.

25
Q

What is the importance of external validity in research?

A

External validity refers to the extent to which a study’s findings can be generalized to other populations, settings, and times beyond the specific context of the research.

26
Q

How does internal validity relate to causal claims?

A

Internal validity is crucial for causal claims because it establishes that the manipulated variable (and not something else) caused the observed effect. This is achieved by controlling for extraneous factors.

27
Q

Describe the three criteria for establishing causation.

A

The criteria for causation are covariance (variables change together), temporal precedence (the cause precedes the effect), and internal validity (ruling out alternative explanations).

28
Q

What verbs are commonly used in association claims?

A

Association claims often use verbs like “link,” “associate,” “correlate,” “predict,” “tie to,” and “be at risk for.”

29
Q

What is the key characteristic of a frequency claim?

A

Frequency claims focus on a single variable and do not examine relationships between variables.

30
Q

Describe the three types of claims researchers might make.

A

The three types of claims are frequency claims, association claims, and causal claims. Frequency claims describe a rate or degree of a single variable. Association claims propose relationships between two variables. Causal claims assert that changes in one variable directly lead to changes in another.

31
Q

Explain the difference between a conceptual variable and its operational definition.

A

A conceptual variable refers to the abstract or theoretical idea being investigated. Its operational definition specifies how that concept will be measured or manipulated in a study. For example, the conceptual variable “stress” might be operationally defined as scores on a stress questionnaire.

32
Q

Differentiate between a measured variable and a manipulated variable. Provide an example of each.

A

A measured variable is observed and recorded as it naturally exists, while a manipulated variable is controlled by a researcher. For instance, “height” is a measured variable, whereas “dosage of medication” is manipulated.

33
Q

What is a variable? How does a constant differ from a variable?

A

A variable is an element or construct that can change or have different values. It must have at least two levels or values. In contrast, a constant is something that has the potential to vary but holds only a single level within a particular study.