Measurement and statistics in research

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125 Terms

1
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where can statistics commonly be found

newspapers, advertisements, financial news, sports, weather, and journal articles

2
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how are statistics used in journal articles

to measure relationships between variables, summarize and depict data, and evaluate experimental results

3
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what is the goal of learning statistics in this context

to understand simple calculations, evaluate statistical use, and interpret results correctly

4
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what do we usually work with in research—samples or populations

samples

5
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what is a population

larger group from which a sample is drawn

6
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what type of letters are used to describe sample values

latin

7
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what type of letters are used to describe population parameters

greek

8
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what is a variable in measurement

a defined phenomenon that is being measured

9
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what does measurement involve

assigning values to outcomes

10
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what are objective measures

measurements of physical quantities and qualities using equipment

11
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are objective measures usually numeric

yes

12
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what are subjective measures

ratings or judgments made by humans about quantities or qualities

13
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what are examples of subjective measures

pain, quality of life, patient satisfaction

14
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what are some categorical subjective variables

gender, religion, blood type

15
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what are the four categories of measurement scales

nominal, ordinal, interval, and ratio

16
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how are the four measurement scales ordered

in order of increasing complexity

17
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why does the type of measurement scale matter

because certain types of statistics are best used with specific types of data

18
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which scale type is the simplest

nominal

19
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which scale type is the most complex

ratio

20
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what is the origin of the term "nominal"

it comes from the Latin nomin, meaning "name”

21
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what do nominal scales do

they place variables into categories using labels

22
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do nominal categories differ in quality or quantity

quality

23
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what comparisons can be made with nominal data

A = B or A ≠ B (equivalence or non-equivalence)

24
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can someone belong to more than one nominal category at the same time

no

25
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what are examples of nominal variables

diagnosis, gender, religion, blood type, political preference

26
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how useful are nominal scales for statistical analysis

not much can be done

27
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what do ordinal scales measure

variables ordered along a continuum (rank order)

28
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what does ranking in ordinal scales tell us

whether one observation is above or below another

29
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can ordinal data show how large the differences are between ranks

no

30
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what are examples of ordinal variables

pain scale, satisfaction levels, and height ranked

31
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how useful is ordinal data for statistical analysis

not much can be done

32
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what does "interval" in interval scales mean

it refers to equal spaces between measurement units

33
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what is a key feature of interval scales

they have equal intervals between values

34
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do interval scales have a true zero point

no

35
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what does an interval scale allow you to identify

equal intervals between any two measurements

36
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what are examples of interval scales

fahrenheit and celsius temperature

37
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what can be concluded from interval-scale temperature differences

whether something is warmer or colder, but not true ratios

38
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can interval data be used for statistical analysis

yes

39
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what does "ratio" in ratio scales mean

it comes from the Latin ratio, meaning calculation

40
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what is the defining feature of ratio scales

they have equal intervals and an absolute zero

41
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what does an absolute zero mean

the complete absence of the variable

42
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why are ratio scales the most precise

they include all characteristics of nominal, ordinal, and interval scales plus a true zero

43
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what does an absolute zero allow you to do

make true ratio statements (twice as much)

44
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what is an example of a ratio vs. interval scale

interval: 0°C (arbitrary zero).
ratio: 0 Kelvin (absolute zero, no heat)

45
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what does a nominal scale show

how many cases are in each category

46
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what does an ordinal scale show

the relative position of things on a continuum

47
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what does an interval scale show

how many points units one measure is greater or less than another

48
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what does a ratio scale show

how many times larger or smaller one is to another with the chance of absolute zero

49
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what happens if measurement tools are faulty

it is difficult to accept or reject a research hypothesis

50
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what should good measurement do

minimize error

51
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what are the two qualities any assessment tool must have

reliability consistency and validity does what it should

52
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what is test-retest reliability

same measurement twice on the same participant to test stability over time and correlate the two tests

53
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what is the ideal correlation coefficient for test-retest reliability

aim for plus 0.8

54
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what is inter observer reliability

two or more clinicians independently assess the same patient to check consistency from rater to rater and correlate results

55
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what is internal consistency

the extent that results on different items correlate with each other

56
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how is internal consistency measured

using cronbach alpha aim for alpha above 0.8

57
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give an example of internal consistency

exams on a topic in a class should show consistency on how different questions are answered

58
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what is measurement validity

the test does what it is supposed to do accuracy of the test

59
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does validity refer to the test or the results

validity refers to the results of the test not the test itself

60
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can test results be partially valid

yes

61
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what is content or face validity

how well items represent the entire universe of items for an exam ask an expert if items assess what you want low content validity means test did not reflect material presented

62
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what is predictive or criterion validity

how well a test predicts a criterion predicts future values

63
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what is construct validity

verified by comparing the test to other tests measuring similar qualities to see correlation often difficult to establish

64
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what is the purpose of a screening test

identifying the presence of disease or not

65
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what are the four possible outcomes of a screening test

true positive, false positive, false negative, true negative

66
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what is sensitivity

proportion of people who test positive who really have the condition true positive

67
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what is specificity

proportion of people who test negative who really do not have the condition true negative

68
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what does sensitivity of 1 and specificity of 1 mean

perfect valid test

69
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what is the purpose of descriptive statistics

organizing and summarizing raw data to get an accurate look at what the data looks like

70
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what are examples of descriptive statistics

frequency distribution average score degree one score varies from another tables graphs histograms polygons

71
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what does central tendency measure

the most typical or representative scores in a group of data

72
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what does variability measure

the extent to which scores are spread out

73
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what are parametric tests

assume samples are drawn from a normal distribution and have the same variability use interval or ratio data

74
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what are non parametric tests

do not assume normal distribution or homogeneity use ordinal or nominal data

75
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what is the first step with a set of data

find an average

76
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what are the three commonly used averages

mean, median, mode

77
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what is the mean

arithmetic center of gravity

78
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what is the median

middle score

79
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what is the mode

the most common score

80
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what does the mean describe

the center or balance point of a frequency distribution

81
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how do you calculate the mean

sum of scores divided by number of cases sigma over n

82
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what is the median

the middle value of a set of ordered numbers with 50 percent of scores on each side

83
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how do you calculate the median for an even number of cases

take the two middle values and find their average

84
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how do you calculate the median for an odd number of cases with no duplicates

select the middle value

85
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does the median change if data at the center repeats

yes

86
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how do you calculate the median with repeating data

first divide n by 2 to find the middle position count cases from the left use lower limit of repeated number then go fraction of the way needed between lower and upper limits

87
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what is the mode

the most frequent value or category in a distribution

88
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what is the mode used for

most frequently occurring value used for nominal ordinal and sometimes interval ratio data

89
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what is the median used for

exact center of rank ordered data when odd or average of two middle values when even used for ordinal and interval ratio data particularly when skewed

90
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what is the mean used for

arithmetic average sum of xs divided by n used for interval ratio data

91
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why should measures of variability be reported

reporting only an average without variability may misrepresent a set of data two datasets can have the same average but different variability

92
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what are three measures of variability

range, variance, standard deviation

93
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what is the range

difference between the highest and lowest score

94
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why can the range be unreliable

if the high or low is an outlier

95
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what is the most important measure of variability

standard deviation

96
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what is the variance

the average of the squared deviations from the mean divided by the number of cases

97
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what is the standard deviation

the square root of the variance

98
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what is the range

difference between the highest and lowest score easy to calculate but highly unstable

99
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why do we square deviations when calculating variance

the sum of the average deviation about the mean is zero squaring makes all positive

100
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how is sample variance calculated

sum of squared differences between observations and their mean divided by n minus 1