chapter 3 Flashcards

1
Q

What are used to describe, make inferences from, and draw conclusions about numbers?

A

Statistical Tools

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2
Q

What is the act of assigning numbers or symbols to characteristics of things (people, events, etc.) according to rules?

A

Measurement

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3
Q

What are the guidelines for representing the magnitude (or some other characteristic) of the object being measured?

A

Rules Used to Assign Numbers

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4
Q

What is a set of numbers (or other symbols) whose properties model empirical properties of the objects to which the numbers are assigned?

A

Scale

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5
Q

What are the two ways to categorize scales?

A

Continuous Scale, Discrete Scale

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6
Q

What is a scale used to measure a continuous variable, where it is theoretically possible to divide any of the values of the scale?

A

Continuous Scale

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7
Q

What is a scale used to measure a discrete variable? Give an example.

A

Discrete Scale; Example: Male or Female

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8
Q

What does the division of a continuous scale depend on?

A

Factors such as the purpose of the measurement and practicality

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9
Q

What refers to the collective influence of all of the factors on a test score or measurement beyond those specifically measured by the test?

A

Error

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10
Q

What are some sources of error in measurement?

A

A distracting thunderstorm, Particular selection of test items the instructor chose to use for the test

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11
Q

What type of scale is continuous when used for psychological and educational assessment and is expected to contain some error?

A

Measuring Scale

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12
Q

What are the four levels or scales of measurement?

A

Nominal, Ordinal, Interval, and Ratio Scales

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13
Q

What determines whether statistical manipulation is appropriate?

A

The level or scale of measurement

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14
Q

What type of scales involve classification or categorization based on one or more distinguishing characteristics?

A

Nominal Scales

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15
Q

What arithmetic operations can be performed with nominal data?

A

Counting cases, determining proportions or percentages

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16
Q

What type of scales permit classification and rank ordering but have no absolute zero point?

A

Ordinal Scales

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17
Q

Who developed an intelligence test and believed intelligence data was ordinal in nature?

A

Alfred Binet

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18
Q

What survey uses the ordinal form of measurement?

A

Rokeach Value Survey

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19
Q

Why does zero have no meaning in an ordinal scale survey?

A

The number of units separating one score from another is unknown

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20
Q

What type of scale contains equal intervals between numbers but no absolute zero point?

A

Interval Scales

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21
Q

What type of scale has a true zero point, allowing all mathematical operations to be performed?

A

Ratio Scales

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22
Q

What is an example of ratio-level measurement used in neurological testing?

A

Hand grip test, timed perceptual-motor ability test

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23
Q

What level of measurement is used in psychology for intelligence, aptitude, and personality tests?

A

Ordinal level of measurement

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24
Q

A set of test scores arrayed for recording or study

A

Distribution

25
Q

A straightforward, unmodified accounting of performance, usually numerical

26
Q

A list of all scores alongside the number of times each score occurred

A

Frequency Distribution

27
Q

A frequency distribution where individual scores are used without grouping

A

Simple Frequency Distribution

28
Q

A frequency distribution where test-score intervals replace individual scores

A

Grouped Frequency Distribution

29
Q

What are test-score intervals called?

A

Class Intervals

30
Q

A diagram or chart composed of lines, points, bars, or other symbols illustrating data

31
Q

It allows easy understanding of a single score’s place in a distribution

A

Good graph

32
Q

What are the types of graphs?

A

Histogram, Bar Graph, Frequency Polygon

33
Q

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

34
Q

What is the X-axis of a graph called, and what is placed on it?

A

Abcissa; Test Scores

35
Q

What is the Y-axis of a graph called, and what is placed on it?

A

Ordinate; Frequency of occurrence

36
Q

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

A

Measure of central tendency

37
Q

The sum of observations divided by the number of observations, denoted as “X bar”

38
Q

The middle score in a distribution

39
Q

The most frequently occurring score in a distribution

40
Q

An indication of how scores in a distribution are scattered or dispersed

A

Variability

41
Q

The spread of data from the lowest to the highest value in the distribution

42
Q

The dividing points between the four quarters in a distribution

43
Q

What is another tool that describes the amount of variability in a distribution?

A

Average distribution

44
Q

The measure of variability equal to the square root of the average squared deviations about the mean/ a measure of how dispersed the data is in relation to the mean.

A

Standard deviation

45
Q

The arithmetic mean of the squares of the differences between scores and their mean

46
Q

The nature and extent to which symmetry is absent in a distribution

47
Q

When relatively few scores fall at the high end of a distribution

A

Positive Skew

48
Q

When relatively few scores fall at the low end of a distribution

A

Negative skew

49
Q

What does a negatively skewed test indicate?

A

The test was too easy

50
Q

The steepness of a distribution at its center

51
Q

A bell-shaped, smooth, mathematically defined curve that is highest at its center

A

A normal curve

52
Q

A raw score converted to another scale with a set mean and standard deviation

A

Standard Score

53
Q

A score indicating how many standard deviation units a raw score is above or below the mean

54
Q

A score on a scale with a mean of 50 and a standard deviation of 10

55
Q

A contraction of “standard” and “nine” / a method of scaling test scores on a nine-point standard scale with a mean of five (5) and a standard deviation of two (2)

56
Q

A transformation that retains a direct numerical relationship to the original raw score

A

Linear formation of standard score

57
Q

When the data are not normally distributed but need to be compared with normal distributions

A

Non-Linear formation

58
Q

Stretching a skewed curve into the shape of a normal curve and creating a corresponding scale of standard scores

A

Normalizing a distribution