Chapter 3 Flashcards

1
Q

Raw Score

A

The first score obtained in testing;usually represents the number or items correct.

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2
Q

Norm-Referenced Tests

A

Tests designed to compare individual students with national averages or norms of expectancy.

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3
Q

Nominal Scale

A

Numerical scale that uses numbers for the purpose of identification.

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4
Q

Ordinal Scale

A

Numerical scale in which numbers are used for ranking.

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5
Q

Interval Scale

A

A scale that uses numbers for ranking in which numerical units are equidistant.

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6
Q

Ratio Scale

A

Numerical scale with the quality of equidistant units and absolute zero.

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7
Q

Derived Score

A

Scores obtained by using a raw score and expectancy tables.

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8
Q

Standard Scores

A

Scores calculated during the norming process of a test that follow normal distribution theory.

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9
Q

Descriptive Statistics

A

Statistics used to organize and describe data.

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10
Q

Measures of Central Tendency

A

Statistical methods for observing how data cluster around the mean.

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11
Q

Normal Distribution

A

A symmetrical distribution with a single numerical representation for the mean, median, and mode.

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12
Q

Frequency Distribution

A

Method of determining how many times each score occurs in a set of data.

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13
Q

Mode

A

The most frequently occurring score in a set of scores.

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14
Q

Bimodal Distribution

A

A distribution that has two most frequently occurring scores.

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15
Q

Multimodal Distribution

A

A distribution with three or more modes.

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16
Q

Frequency Polygon

A

A graphic representation of how often each score occurs in a set of data.

17
Q

Median

A

The middlemost score in a set of data.

18
Q

Mean

A

The arithmetic average of a set of data. Add them up and divide by number of data.

19
Q

Standard Deviation

A

A unit of measurement that represents the typical amount that a score can be expected to vary from the mean in a given set of data.

20
Q

Variability

A

Describes how scores vary.

21
Q

Measures of Dispersion

A

Statistical methods for observing how data spread from the mean.

22
Q

Variance

A

Describes the total amount by which a group of scores varies in a set of data.

23
Q

Range

A

The distance between the highest and lowest scores in a data set.

24
Q

Skewed

A

Describes a distribution that has either more positively distributed scores or more negatively distributed scores.

25
Q

Positively Skewed

A

Describes a distribution in which more of the scores fall below the mean.

26
Q

Negatively Skewed

A

Describes a distribution in which more of the scores fall above the mean.

27
Q

Percentile Ranks

A

Scores that express the percentage of students who scored as well as or lower than a given student’s score.

28
Q

Z Scores

A

Derived scores that are expressed in standard deviation units.

29
Q

Stanines

A

A method of reporting scores that divides data into nine groups, with scores reported as 1 through 9 with a mean of 5.

30
Q

Deciles

A

A method of reporting scores that divides data into 10 groups with each group representing 10% of the obtained scores.