CH3: Statistics

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Continuous scale

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28 Terms

1

Continuous scale

Theoretically possible to divide any values of the scale (e.g., height, depression).

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2

Discrete scales

Categorical values (e.g., male or female).

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3

Error

Collective influence of all factors on a test score beyond those specifically measured by the test.

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4

Nominal Scales

Involve classification or categorization based on one or more distinguishing characteristics (e.g., DSM-4 diagnoses, degree program).

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5

Ordinal Scale

Involve classifications like nominal scales but allow rank ordering (e.g., Olympian medalists, Likert scales).

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6

Interval Scale

Contain equal intervals between numbers; each unit on the scale is equal to any other unit (e.g., IQ scores, temperature).

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7

Ratio Scale

Interval scales with a true zero point; zero represents something (e.g., height & weight, reaction time).

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8

Ordinal, Interval

Psychological disorders are naturally _ but are treated as _

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9

Distributions

A set of test scores arrayed for recording or study.

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10

Raw score

Straightforward, unmodified accounting of performance, usually represented by a number.

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11

Histogram

A graph with vertical lines drawn at the true limits of each test score forming a series of contiguous rectangles.

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12

Y-axis, X-axis

In a Bar graph, numbers of indicative frequency appear on the _ and reference to some categorization appears on _

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13

J shaped curve

Identify the type of distribution.

<p>Identify the type of distribution.</p>
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14

Bimodal distribution

Identify the type of distribution

<p>Identify the type of distribution</p>
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15

Positively skewed distribution

Identify the type of distribution.

<p>Identify the type of distribution.</p>
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16

Negatively skewed distribution

Identify the type of distribution.

<p>Identify the type of distribution.</p>
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17

Rectangular distribution

Identify the type of distribution.

<p>Identify the type of distribution.</p>
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18

Central Tendency

A statistic that indicates the average or midmost score between extreme scores in a distribution.

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19

Mean

Sum of observations divided by the number of observations.

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20

Median

Middle score in a distribution.

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21

Mode

Most frequently occurring score in a distribution.

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22

Variability

Indication of the degree to which scores are scattered or dispersed in a distribution.

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23

Range

Difference between the highest and lowest scores.

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24

Interquartile range

Difference between 3rd and 1st quartile.

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25

Semi-Interquartile Range

Interquartile range divided by 2.

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26

Variance

Arithmetic mean of the squares of the differences between the scores in a distribution and their mean.

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27

Standard deviation

The square root of the average squared deviations about the mean.

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28

Kurtosis

Steepness of a distribution in the center.

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