Midterm Flashcards

1
Q

Measurement Validity

A

When the measure measures what we think it measures.

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2
Q

Generalizability

A

The extent to which info gleaned can be used to inform about population as whole (External validity)

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3
Q

Causal validity

A

Internal Validity - when hypothesis that A causes B is correct.

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4
Q

3 Stages of forming a good research question

A
  1. identifying 2. refining 3. feasible?
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5
Q

Theory

A

logical interraled set of proportions about empirical reality

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6
Q

Inductive Reasoning

A

observed data –> generalization which explains relationships between objects observed
(QUALITATIVE)

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7
Q

Deductive Reasoning

A

theory –> hypothesis –> define variables and operations –> implement measurements and observations to see if they confirm/fail hypothesis
(QUANTITATIVE)

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8
Q

Dependent Variable

A

variable that DEPENDS on another variable

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9
Q

Positive Association/Correlation

A

going in the same direction

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10
Q

Negative Association/Correlation

A

going in different directions

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11
Q

Theoretical Statement

A

social networks positively influence psychological wellbeing.

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12
Q

Moderating Variable

A

Variable that influences relationship between variables

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13
Q

Mediating Variable

A

Variable that explains the relationship between variables

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14
Q

Problem Formulation

A
  1. Problem area (something you are interested in). 2. Idea (what are concepts and possible variations)
  2. Theory (how are concepts related to each other)
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15
Q

Operationalization

A

How we measure variables included in a study

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16
Q

Direct Measurements

A

Visual, physical symptoms, interviews, self-administered questionnaire, written records

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17
Q

Indirect Measurements

A

Unobtrusive/Indirect observations, content analysis

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18
Q

Nominal Measurement

A

categories: types of vanilla, milk, etc. (when you can’t order other things) (gender, ethnicity, religion)

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19
Q

Ordinal Measurement

A

No measureable distance between values, Taste Test: rating of 1-5 (social class, racism, sexism)

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20
Q

Interval/Ratio

A

measureable distance between values, based on absolute zero, degrees, etc. (meaningful intervals)

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21
Q

Discrete variable

A

cannot take on all values within the limits (ex: 1, 2, 3)

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22
Q

Continuous variable

A

variable can take on any variable (ex: 1, 1.25, 1.45, 2)

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23
Q

Measurement Error

A
  1. Systematic (social desirability, acquiescence bias, leading questions)
  2. Random (why respondents feel that way that day, regression to the mean, multiple rating behr’s, inadequate training)
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24
Q

Reliability

A

The measurement is consistent

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25
Q

Validity

A

The results are accurate

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26
Q

Test/Re-Test Reliability

A

same result after multiple trials

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27
Q

Inter-rater reliability vs. Intra-rater reliability

A

correlation between 2 raters (inter) single observer of 2 pts in time (intra)

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28
Q

Sampling

A

Random (probability) and Non-random (non-probability)

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29
Q

Population

A

The entire set of individuals or other entities to which study findings are generalized

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30
Q

Sample

A

Subset of population used to study whole

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31
Q

Sampling Frame

A

Structure for choosing sample (ex: list of Loyola students)

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32
Q

Sampling Units

A

units listed at each stage of multi-stage sampling design

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33
Q

Units of analysis

A

from whom or what are you collecting data (ex: individuals, households, orgs)

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34
Q

Ecological Fallacy

A

making a generalization based on a small sample

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35
Q

Representative Sample

A

looks like population from which it was selected

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36
Q

Unrepresentative Sample

A

doesn’t look like the population from which it was selected

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37
Q

Census

A

a study of the entire population (assumes perfect response)

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38
Q

Sample population generalizability

A

if sample is generalizable to the target population

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39
Q

Cross-population generalizability

A

If sample cannot be generalized to target population

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40
Q

Sampling Error

A

Any diff between characteristics of a sample and characteristics of population from which it was drawn

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41
Q

Recruitment Strategies for Diverse Populations

A
  1. involve key members of community/orgs
  2. demonstrate benefits to community
  3. understand cultural barriers
  4. train interviewers
  5. go where potential participants are
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42
Q

Simple Random Sampling

A

identifies cases on basis of chance

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43
Q

Systematic Random Sampling

A

random sampling where first element randomly chosen and every nth after

44
Q

Stratified Random Sampling

A

elements distinguished according to value (ex: pie chart on race) - can be proportionate or disproportionate

45
Q

Cluster Sampling

A

select one group, then another group within that group, etc. (useful when sampling frame unavailable)

46
Q

Availability Sampling

A

Non-random: convenience sampling - whoever is there

47
Q

Quota Sampling

A

Non-random: preset # based on elements of population (purposely picking people out)

48
Q

Purposive Sampling

A

Non-random: each element selected for a purpose usually b/c of unique position of a sample elements (ex: survivors of sibling violence)

49
Q

Snowball sampling

A

Non-random: identify one member who identifies another member, etc.

50
Q

Sampling Error Rule

A

larger sample size = less sampling error, except homogenous population can have smaller sample

51
Q

Replication

A

duplicating a study to see if the same evidence and conclusions are produced

52
Q

Empirical

A

valuation of observation-based evidence

53
Q

Straw person argument

A

someone attacks a particular position by distorting it in a way that makes it easier to attack

54
Q

Ad Hominem Attack

A

tries to discredit the person making the argument rather than the argument itself

55
Q

Bandwagon appeal

A

when new interventions promoted on their new-ness

56
Q

Evidence-Based Practice

A

a process in which practioners make practice decisions in light of the best research evidence available

57
Q

Process of EBP

A
  1. Formulate a Question
  2. Search for Evidence
  3. Critically Appraise the Relevant Studies
  4. Determine Which EBP Intervention is most appropriate
  5. Apply Evidence-based interventions
  6. Evaluation and Feedback
58
Q

Randomized Clinical Trials

A

experiments that use random means (coin toss) to assign clients who share similar problems or diagnoses into groups to receive different interventions

59
Q

Paradigm

A

a fundamental model or scheme that organizes our observations and makes sense of them

60
Q

Postmodernism

A

paradigm that rejects the notion of an objective reality and of objective standards of truth and logical reasoning associated with scientific methods

61
Q

Contemporary Positivism

A

paradigm that there is an objective answer to the question of what really happened

62
Q

Interpretivism

A

paradigm that doesn’t focus on isolating and objectively measuring causes or on developing generalizations

63
Q

Critical social science

A

paradigm that views social life as a struggle among competing individuals and groups

64
Q

Independent Variable

A

variable that explains or causes something

65
Q

Idiographic model

A

when trying to explain a person’s behavior by enumerating the many reasons for it

66
Q

Nomothetic model

A

Instead of understand person as fully as possible, try to understand general phenomenon partially

67
Q

Anchor Points

A

pieces of information about the various places you might be able to find a particular participant (phone tracking, mail tracking, agency tracking, field tracking)

68
Q

Linguistic Equivalence

A

translation equivalence - when an instrument has been translated into another language successfully

69
Q

Back-translation

A

When bilingual person translates instrument and instructions into target language

70
Q

Forward-translation

A

several bilingual people examine both version to ascertain whether both versions contain same conceptual meanings

71
Q

Conceptual equivalence

A

instrument and observed behr’s have same meanings across cultures

72
Q

Metric equivalence

A

psychometric equivalence/scalar equivalence - scores on a measure are comparable across cultures

73
Q

Cross-sectional studies

A

research studies that examine some phenomenon by taking a cross section of it at one time and analyzing that cross section carefully

74
Q

Longitudinal studies

A

studies intended to describe processes occurring over time and conduct observations over an extended period

75
Q

Trend Studies

A

studies that study changes within some general population over time

76
Q

panel attrition

A

some respondents who are studied in first wave may not participate later

77
Q

Reductionism

A

overly strict limitation on the kinds of concepts and variables to be considered as the causes in examining a broad range of human behavior

78
Q

Conceptualization

A

refining and specifying abstract concepts

79
Q

attributes

A

concepts that make up a broader concept

80
Q

curvilinear relationship

A

one in which the nature of the relationship changes at certain levels of the variables

81
Q

extraneous variables

A

alternative explanations for relationships that are observed between independent and dependent variables

82
Q

Moderating variables

A

variables that affect the strength or direction of the relationship between the independent and dependent variables.

83
Q

Spurious relationship

A

one that no longer exists when third variable introduced

84
Q

Categories of operationalizing variables

A
  1. self-reports
  2. direct observation
  3. available records
85
Q

Systematic error

A

when information collected reflects a false picture of the concept we seek to measure because of way data is collected or dynamics of those who are providing the data

86
Q

Triangulation

A

using several different research methods to collect data in order to decrease systematic error

87
Q

Internal Consistency Reliability

A

a method that assumes that the instrument contains multiple items

88
Q

Face validity

A

if the measure pertains to concepts being measured

89
Q

Content validity

A

does the measure cover the full range of the concept’s meaning?

90
Q

Known-groups validity

A

Criterion validity: when scores on measurement are similar to already validated or other measures

91
Q

Construct validity

A

measure is related to other measurements as specified in the theory

92
Q

Convergent validity

A

exists when you can show a relationships between two measures of the same construct

93
Q

Discriminant validity

A

when measures correspond highly to similar measures of similar constructs

94
Q

Factorial validity

A

how many different constructs a scale measures and whether the number of constructs and the items that make up those constructs are what the researcher intends

95
Q

Likert Scale

A

strongly agree, agree, disagree

96
Q

Semantic Differential

A

Asking about two opposite positions

97
Q

Univariate Analysis

A

the examination of the distribution of cases on only one variable at a time

98
Q

frequency distribution

A

the number of times the various attributes are observed in a sample

99
Q

Standard deviation

A

bell-curve, how similar to the curve

100
Q

Bivariate analysis

A

an analysis that examines the relationship between two variables

101
Q

Contingency tables

A

values of the dependent variable are contingent on values of the independent variable

102
Q

Descriptive statistics

A

when statistics are reported to DESCRIBE the relationships among the variables in a sample

103
Q

Inferential statistics

A

when statistics go beyond just describing a set of sample observations and attempt to make INFERENCES about causes processes or about a larger population

104
Q

Mail Surveys - ADV/DISADV

A

ADV: cheaper and quicker that interview, large samples, anonymous
DISADV: expensive, time consuming, lower response rate

105
Q

Online Surveys - ADV/DISADV

A

ADV: inexpensive, not time-consuming, large samples, automatic data entry, anonymity, fast
DISADV: under-representative of poor, elders, lower response than face-to-face

106
Q

Face to Face Interviews - ADV/DISADV

A

ADV: high response rate, more info collected - fewer missing items, opportunity to clarify, observe, probe
DISADV: more expensive, time-consuming, physical appearance bias, lack of anonymity

107
Q

Telephone Surveys - ADV/DISADV

A

ADV: less expensive, less time-consuming, no physical appearance bias, fewer missing items, opportunity to clarify, interviewer safety, computer-assistance possible
DISADV: unlisted numbers, cell phone regularity, easy of hanging up, caller ID