Chapter 5 Flashcards

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1
Q

How do you measure the types of measurement?

A

Self report- Operationalize a variable by recording people’s answers to verbal questions about themselves in a questionnaire or interview

Observational- (behavior measure) operationalize a variable by recording observable behaviors or physical traces of behaviors

Physiological- Operationalizes a variable by recording biological data such as brain activity, hormone levels, or heart rate. (usually require equipment to measure biological activity. EX: FMRI)

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2
Q

What are the types of measures?

A
  • scale of measurement
  • reliability of measurements
  • validity of measurements
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3
Q

Whats the difference between a categorical variable and quantitative variables?

A

Categorical variable- (nominal variables) Categories.

Quantitative variable- Coded with meaningful numbers

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4
Q

Define the different types of quantitative variables

A

Ordinal Scale- When numerals of a quantitative variable represent a rank order

Interval Scale- When numerals of a quantitative variable represent equal intervals (distance) and there is not “true zero”

Ratio Scale- When numerals of a quantitative variable have equal intervals and when the value of zero truly means “nothing”

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5
Q

Define reliability

A

A measurement and validity of measurement

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6
Q

Define the three types of reliability

A

test-retest reliability- The researcher gets consistent results every time he or she uses the measure.

interrater reliability- Consistent results are obtained no matter who measures or observes.

internal reliability- A study participant gives a consistent pattern of answers, no matter how the researcher phrases the question.

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7
Q

Define correlation coefficient

A

A single number to indicate how close the dots on a scatterplot are to a line drawn through them

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8
Q

When is a relationship strong?

When is a relationship weak?

A

Strong: When the dots on the scatterplot are close to the line

Weak: When the dots on the scatterplot are far from the line

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9
Q

Define Cronbach’s Alpha

A

A correlation-based statistic used to see if their measurement scales have internal reliability.

The closer the Cronbach Alpha is to 1, the better the scale’s reliability

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10
Q

Define face validity

A

It looks as if it should be a good measure.

A plausible measure of the variable in question.

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11
Q

Define content validity

A

Involves subjective judgment about a measure.

A measure must capture all parts of a defined construct.

Assess all parts of the concept.

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12
Q

Define predictive validity/concurrent validity

A

Predictive- An empirically supported type of measurement validity that represents the extent to which a measure is related to a concrete, future outcome that it should be related to.

Concurrent- An empirically supported type of measurement validity that represents the extent to which a measure is related to a concrete, simultaneous outcome that it should be related to

(Ex: wanting to predict how well a sales person would do based on IQ test. Seems like it has face validity, but does IQ really correlate with selling skills?)

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13
Q

Define convergent validity

A

Shows that the measure should correlate more strongly with measures of the same constructs.

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14
Q

Define discriminant validity

A

Shows that the measure should correlate less strongly with measures of others, distinct constructs.

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