Ch 12 Flashcards

1
Q

Ordinal scale

A

Levels exhibit minimal quantitive distinction first second third scale rank

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2
Q

Interval scale

A

The intervals between the levels are equal in size there is no absolute zero point

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3
Q

Ratio scale

A

Both have equal intervals and an absolute zero time weight length

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4
Q

Frequency distribution

A

Indicate the number of individuals who receive each possible score on a variable

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5
Q

Frequency polygon

A

Use a line to represent the distribution of frequencies of scores

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6
Q

Histogram

A

Uses bars to display a frequency distribution for a quantitative variable

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7
Q

Descriptive statistics

A

Allows researchers to make precise statements about data and two numbers summarize the information contained in a frequency distribution

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8
Q

Central tendency

A

Tells us what the sample as a whole or on the averages like mean median and mode

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9
Q

Mean

A

Only used one scores are measured on an interval or ratio scale

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10
Q

Median

A

Appropriate when scores are on an ordinal scale

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11
Q

Mode

A

Mode is the only measure of central tendency that is appropriate if nominal scale is used

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12
Q

Variability

A

A number that here during the amount of spread in a distribution of scores

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13
Q

Standard deviation

A

Indicates the average deviation of scores from the mean

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14
Q

Variance

A

Standard deviation is the square root of variance

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15
Q

Range

A

Difference between highest and lowest score

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16
Q

Correlation coefficient

A

A statistic that describes how strongly variables are related to one another

17
Q

Pearson product moment

A

Used in both variables have interval or ratio scale provides info about the strength the relationship and the direction of the relationship

18
Q

Restriction of range

A

Occurs when the individuals in your sample are very similar on the variables you are studying

19
Q

Effect size

A

Refers to the strength of association between variables

20
Q

Regression equation

A

Calculations used to predict a person score on one variable with that person score on another variable is already know

21
Q

Criterion variable

A

When researchers are interested in predicting some future behavior

22
Q

Predictor variable

A

Maybe basis of a person score on some other variable

23
Q

Multiple correlation

A

Used to be combined in number of predictor variables to increase the accuracy of prediction of a given criterion or outcome variable

24
Q

Partial correlation

A

Provides a way of statistically controlling third variables

25
Q

Structural equation modeling

A

Examine models that specify a set of relationships among variables using quantitive or non-quantitive methods

26
Q

Nominal scale

A

Variables that have no numerical quantitative properties