EBP Week 8

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101 Terms

1
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What are variables in research?

Characteristics of individuals, objects, or environmental conditions that can have more than one value

2
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How are variables defined in quantitative studies?

Through operational definitions under controlled conditions

3
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What is an independent variable?

A factor intentionally manipulated by researchers to cause a change in an outcome

4
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In clinical research, what are often independent variables?

Interventions evaluated in experimental and quasi-experimental designs

5
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What are “levels” of an independent variable?

The different forms a variable takes in a study such as high, moderate, and placebo

6
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What are independent variables called in prognostic studies?

Factors or predictors

7
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Are independent variables used in purely descriptive studies?

No, only in studies with a predictive or causal model

8
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What is a dependent variable?

The outcome of interest in a study

9
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What is the goal in intervention studies regarding dependent variables?

To investigate the causal link between an independent variable and a change in the dependent variable

10
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In prognostic studies, how is the dependent variable related to the independent variable?

It is presumed to be predicted by it, not caused by it

11
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What is an extraneous variable?

A factor other than the independent variable that can influence or confound the dependent variable

12
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Give examples of sources of extraneous variables?

Subjects such as fatigue or alertness, investigators such as experience, equipment, and environment such as room temperature

13
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Why must researchers control extraneous variables?

To avoid misleading conclusions about study results

14
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What is measurement in research?

The process of assigning descriptive or numeric values to variables based on defined, consistent rules

15
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What are the four levels of measurement?

Nominal, Ordinal, Interval, Ratio

16
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Describe nominal level of measurement?

Named categories without rank or equal distance such as hair color or sex

17
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What analysis is used for nominal data?

Frequency counts or percentages

18
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Describe ordinal level of measurement?

Ranked order without known equal distance such as satisfaction scale or weight-bearing status

19
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Can mathematical functions be done with ordinal data?

No, because distances between ranks are not known

20
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Describe interval level of measurement?

Numeric values with rank and equal distance but no true zero such as temperature in Celsius or Fahrenheit

21
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What mathematical operations are allowed with interval data?

Addition and subtraction but not multiplication or division

22
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Describe ratio level of measurement?

Has rank, equal distance, and a true zero such as height, weight, or blood pressure

23
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What operations can be done with ratio data?

Addition, subtraction, multiplication, and division

24
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What is a norm-referenced measurement?

Scores compared to a standard from a previously tested group such as growth charts

25
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What is a criterion-referenced measurement?

Scores compared to an absolute standard such as discharge criteria or standardized exams

26
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What is responsiveness?

The ability of a measurement instrument to detect change in a phenomenon

27
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What factors affect responsiveness?

Instrument-to-definition fit, number of values, and standard error of measurement

28
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What is instrument-to-definition fit?

The instrument must match the operational definition of what’s being measured such as a goniometer for joint angles

29
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How does the number of values affect responsiveness?

More scale values increase the chance of detecting change

30
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What is the Standard Error of Measurement (SEM)?

The dispersion of observed scores around a true score where a large SEM means less responsiveness

31
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What is the Minimal Detectable Change (MDC)?

The smallest change that exceeds the SEM of an instrument

32
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What are floor and ceiling effects?

When a scale can’t register lower (floor) or higher (ceiling) scores for individuals

33
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How can floor and ceiling effects be avoided?

By designing instruments with a wide enough scale and clear definitions

34
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What is the Minimal Clinically Important Difference (MCID)?

The smallest change in a treatment effect that is meaningful to the patient and influences management decisions

35
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What is the Guide to PT Practice definition of tests and measures?

The means of gathering information about the patient or client

36
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What do tests and measures help identify and characterize?

  • Health condition

  • Impairments of body structure and function

  • Activity limitations

  • Participation

37
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What is an example of a health condition?

Pathology or disease

38
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What is an example of an impairment of body structures and functions?

Aerobic capacity or blood pressure

39
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What is an example of an activity limitation?

Self-care or ADLs

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What is an example of participation?

Ability to engage in community, leisure, social, or work roles

41
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What are tests and measures used to establish?

The diagnosis and prognosis

42
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What are tests and measures used to select?

Interventions

43
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What are tests and measures used to document?

Changes in patient or client status

44
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What do tests and measures indicate?

Achievement of outcomes that are the endpoints of care

45
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What is APTA’s Standard for Tests and Measurements definition of measurement?

Numbers assigned to an object, event, or person, or the class to which they are assigned according to rules

46
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What kinds of measurements do PTs obtain?

Many different types, depending on what is being assessed

47
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What are variables?

Characteristics of individuals, objects, or environmental conditions that may have more than one value

48
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What are examples of individual variables?

  • Age

  • Gender

  • Ethnicity

  • Pathology type

  • Degree of impairment

  • Strength

  • Flexibility

  • Endurance

  • Balance

49
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What are examples of object variables?

Nature of diagnostic tests and interventions

50
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What are examples of environmental variables?

Conditions such as temperature or surroundings

51
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In what type of study does the investigator not influence behavior or outcomes?

Non-experimental study

52
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In what type of study does the investigator intentionally manipulate variables?

Experimental or quasi-experimental study

53
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What is an independent variable?

A variable purposefully manipulated by investigators

54
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What happens when there is more than one independent variable?

The study becomes more complex and interactions may occur

55
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What is a factorial design used for?

To account for potential interactions between independent variables

56
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What is a dependent variable?

The outcome of interest that depends on the independent variable

57
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What is an extraneous variable?

A factor other than the independent variable that may influence or confound the dependent variable

58
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What is another name for an extraneous variable?

Confounding variable

59
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Why are controls and statistical adjustments used in research?

To reduce the influence of extraneous variables

60
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What does the levels of measurement continuum range from?

Descriptive to numeric

61
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What is a numeral in measurement?

A symbol or label in the form of a number

62
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What are the four classical levels of measurement?

Nominal, ordinal, interval, and ratio

63
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What three properties define a real number system?

Order, distance, and origin

64
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What does order refer to?

Higher numbers representing greater amounts of what is being measured

65
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What does distance refer to?

Whether the magnitude of differences between adjacent numbers is equal or unequal

66
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What does origin refer to?

Whether zero represents an absence of the quality measured

67
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What is a nominal scale?

Values that are named categories without rank or equal distance

68
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What are characteristics of nominal scale categories?

Mutually exclusive and exhaustive

69
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Are arithmetic operations meaningful with nominal data?

No

70
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What is an example of nominal data?

Yes or no responses, disease present or absent, agree or disagree

71
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What is an ordinal scale?

Categories rank-ordered based on a defined characteristic or property

72
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What do ordinal classifications incorporate?

Greater than and less than relationships

73
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Are intervals consistent or known in ordinal scales?

No

74
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Do ordinal scales have arithmetic properties?

No

75
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What is a clinical concern when summing ordinal data?

Intervals between ranks may not be consistent

76
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What is an interval scale?

A numeric scale with rank and known equal distances but no true zero point

77
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Does zero represent the absence of a characteristic in an interval scale?

No

78
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What is a common example of an interval scale?

Temperature in Celsius or Fahrenheit

79
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Can interval data have positive and negative values?

Yes

80
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What mathematical operations can be performed with interval data?

Addition and subtraction

81
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What is a ratio scale?

A numeric scale with equal distances, rank, and a true zero point

82
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A numeric scale with equal distances, rank, and a true zero point

Addition, subtraction, multiplication, and division

83
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What are examples of ratio data?

Height, weight, force

84
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Is classifying a measurement always straightforward?

No

85
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What is an example of a measurement that may fit more than one level?

Use of an assistive device

86
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What determines the level of measurement?

Qualities of the instrument and the investigator’s intention for its use

87
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What are the two types of reference standards?

Norm-referenced and criterion-referenced

88
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What is a norm-referenced measurement?

Scores compared to scores previously obtained from other individuals

89
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What is a criterion-referenced measurement?

Scores compared to a previously established absolute standard

90
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What is nominal data also called?

Qualitative or categorical data

91
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How is nominal data organized?

Into named categories with no inherent order

92
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What are examples of nominal data?

Colors like red, green, blue;

types of fruit like apple, banana, orange;

gender like male, female

93
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What is ordinal data?

Data where the order matters, but the distance between values is not meaningful or quantifiable

94
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What is an example of ordinal data in race rankings?

1st, 2nd, 3rd place where you know order but not exact time differences

95
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What is an example of ordinal data in survey ratings?

Very dissatisfied, dissatisfied, neutral, satisfied, very satisfied

96
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What is interval data?

Data where the order matters and distances between values are equal and meaningful, but with no natural zero point

97
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What is an example of interval data?

Temperature in Celsius or Fahrenheit where differences are consistent but zero does not mean absence of temperature

98
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What is ratio data?

Data where order matters, distances are equal and meaningful, and there is a natural zero point

99
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What does a zero value represent in ratio data?

The complete absence of the measured attribute

100
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What are examples of ratio data?

Weight, height, age, income