Chapter 4 Flashcards

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1
Q

Reliability

A

reliability means that a measurement will produce the same

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2
Q

what is the three ways to test reliability ?

A

Test-Retest Reliability, Internal Consistency Reliability ,Interrater Reliability

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3
Q

Test-Retest Reliability

A

Conduct the same test at a different time with the same participants to see if you obtain the same results

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4
Q

Internal Consistency Reliability

A

Examines how well the questions (items) relate to each other

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5
Q

Interrater Reliability

A

Look at if other researchers, who use the same methodology will achieve the same results. These researchers can be part of your research team

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6
Q

Validity

A

A synonym for validity would be accuracy. Results that are considered “valid” are representative of the real world

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7
Q

Internal Validity

A

means that we are certain that the changes in the IV caused the response in the DV and there are no alternative explanations

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8
Q

Construct Validity

A

is the degree to which this operationalized construct represents the true theoretical nature of the variable

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9
Q

Face Validity

A

Face validity implies that if something appears or looks valid, then it is valid

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10
Q

Content Validity

A

The content of the measure captures all the neccessary aspects of the construct and nothing more.

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11
Q

Concurrent Validity

A

Scores on the measure are related to ther measure of the same or very similar constructs

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12
Q

Discriminatory Validity

A

Scores on the measure are no related to other measures that capture theoretically different constructs

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13
Q

Predictive Validity

A

Scores on the measure predict behaviour on a criterion measured in the future

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14
Q

Reactivity

A

is when the participant is aware he/she is being observed and as a result changes his/her behaviour in some way (in other words they “react” to your presence”)

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15
Q

What are the four measurement scales?

A

Nominal (most basic)
Ordinal
Interval
Ratio (most advanced)

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16
Q

Nominal Scale

A

It is important to note that there is no rank or order in nominal scales. Number may assigned to represent these categories (Example: 1 = female; 2 = male 3 = prefer not to say)

17
Q

Ordinal Scale

A

The ordinal scale is used when there is a bit more information about the data. In this case, we can determine that this is some sort of order or rank to the data. However, we cannot quantify what the difference is

18
Q

Interval scale

A

The interval scale allows us to identify the order and quantify the difference between the elements. However, in the interval scale, the zero is arbitrary. It is a fake zero. (Ex: Temperature)

19
Q

Ratio Scale

A

The ratio scale is the same as the interval scale, except that in the ratio scale the zero is real. In other words, it makes a total absence of something. Ratio and Real.

20
Q

Discrete data

A

data cannot be divided into parts

21
Q

Continuous data

A

data can be divided into parts

22
Q

Central Tendency

A

Mode, Median, Mean

23
Q

what is the symbol for mean?

A

is X (called x bar) or M (for mean)

24
Q

Range

A

Range is the difference between the largest score and smallest score

25
Q

What are two additional scales of measurement?

A

Continous or discrete data.

26
Q

Chronbach’s alpha

A

an indicator of internal consisstency reliability assesed by examing the average correlation of each item (quesiton) in a measure with every other question

27
Q

Pearson product- moment correlation coeefiicient

A

A type of correlation coeeficent use with interval and ratio scale data. In addition to providing information on the streagth of relationship between two vairables, the Peasron product- moment correlation coeeficient indicates the direction ( positive or negatve of the relationshi