Chapter 2 Flashcards

1
Q

A concept, for example temperature and weight

A

Construct

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2
Q

When a construct is not directly observable, observable measures representing the actual
construct are substituted

A

Indicators

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3
Q

The process of selecting an indicator(s) of a construct is called ___________

A

operatizing

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4
Q

How an indicator is defined for measurement is its ________

A

operational definition

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5
Q

Concepts such as “workplace violence” have several distinct subdimensions
or subconstucts are ________

A

multi-dimensional

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6
Q

characteristics or measures that can be several possible values (as opposed to constants which have only one possible value such as the speed of light sans gravity).

A

Variables

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7
Q

A variable’s set of possible values is called its

A

range

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8
Q

Variables that only have one value, for example weight, sex, body temp

A

Single-valued

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9
Q

variables that have multiple values, for example, race, majors

A

multi-valued

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10
Q

type of variables that can be any value in their range, for example, the temperature can be 70, 70.5, 81.6, depending on precise measurement

A

Continuous variable

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11
Q

type of variables that can only be specific values in a variable’s range, for example, school range, 1st - 12th grade (no 1.5 grades)

A

Discrete variables

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12
Q

Variables that can only be one of two possible values are often called indicator variables and can also be called

A

dichotomous or dummy variables

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13
Q
  • the variable characteristic that has values that can be ranked and/or their differences calculated
  • can be discrete or continuous
A

Quantitative

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14
Q
  • variable characteristic that can only be categorized

* always discrete

A

Qualitative

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15
Q

common in academic research to represent abstract constructs that are not directly observable or measurable.

A

latent variable

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16
Q

how much quantitative information the variable provides for analysis.

A

level of measurement

17
Q

Four levels of measurement in rank order

A
  1. nominal
  2. ordinal
  3. interval
  4. ration
18
Q
  • Level of measure that can only be classified
  • discrete and qualitative
  • usually single-valued
A

nominal variable

19
Q
  • Level of measurement of a variable that can be classified but can also be ranked, for example, a letter grade in a class
  • always discrete and quantitative
A

ordinal variable

20
Q
  • Level of measurement of a variable that can be classified, ranked, the difference between values can be calculated, and the differences between values are consistent but it does not have a true, absolute zero
  • the difference between values are always equal
A

Interval variable

21
Q

• Level of measurement of a variable that includes interval variables but has a true, absolute, non-arbitrary zero.

A

ratio variable

22
Q

The combination of indicators into a single measure for a construct

A

composite measure

23
Q

the two types of composite measures often called measurement instruments

A

Index and scales

24
Q

presume indicators are separate components that together form the concept, for example, the many components of job satisfaction

A

index

25
Q

composite measure where the indicators are seen as causing the construct

A

formative constructs

26
Q

a composite measure that presumes indicators are reflections of a concept

A

scales

27
Q

composite measure where the construct is seen as causing the construct and the indicators reflect its variation

A

reflective constructs

28
Q

The field that concerns the development and testing of composite measures in psychology
and education.

A

psychometrics

29
Q

indicators that are simple yes/no type items denoting the existence of an attribute or event

A

indexes

30
Q

Type statistics that provide summary information organizing and describing the data whether a sample or population

A

Descriptive

31
Q

Type of statistics that use sample data to infer the value of an attribute or relationship in a full population.

A

Inferential

32
Q

Descriptive and inferential statistics can be divided by the number of variables
they entail.

A

Univariate involves one, bivariate two, and multivariate statistics include three or more variables.

33
Q

Most common bivariate descriptive technique which provides a crosstabulation of the frequencies for two variables simultaneously

“crosstabs”

A

contingency table

34
Q

variables that are seen as affecting, or causing, others

A

independent variables

35
Q

Variables that are being affected

A

dependent variables

36
Q

Variables that are not affected by any others but are seen as causing one or more are

A

exogenous

37
Q

Variables that have at least one variable affecting it are

A

endogenous