Midterm 2 Review Flashcards

1
Q

Define and explain the differences between construct validity, internal validity, and external validity

A

Construct validity: the extent to which the measurement or manipulation of a variable accurately represents the theoretical variable (construct being studied)

Internal validity: the accuracy of conclusions drawn about cause and effect

External validity: the extent to which a study’s findings can accurately be generalized to other populations and settings

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2
Q

Explain what it means to operationalize a variable

A

To operationalize a variable, you are defining it terms of the specific method used to measure or manipulate it

Ex. Bowling skill: a person’s avg. bowling score over the past 20 games

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3
Q

Describe positive linear, negative linear, curvilinear, and no relationship patterns between variables, using examples

A

+: as x goes up y goes up

-: as y goes down x goes down

curvilinear: there’s a curve

no relationship: no relationship

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4
Q

What is the purpose of a correlation coefficient? What info does it contain?

A

A correlation coefficiant shows how strongly variables are related to one another

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5
Q

Explain the key difference between no experimental and experimental research methods,

A

No experimental: observations

Experimental: direct manipulation and control of variables

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6
Q

In an experiment, what is the purpose of randomization?

A

Randomization ensures extraneous variables are just as likely to affect one group as another

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7
Q

Describe a possible experiment identifying the independent and dependent variables

A

Experiment: study whether exercise reduces anxiety

Independent variable: one group being manipulated (have them exercise everyday for week)

Dependent variable: one group not doing anything

measure level of anxiety at the end of the week

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8
Q

What are the strengths are weaknesses of laboratory experiments, compared to field expierments?

A

Lab
+ easily able to manipulate variables
+strong internal validity
- can limit external validity

Field
+ independent variable is investigate in natural setting
- loss of ability to directly control many aspects

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9
Q

Explain the idea of an “ex post facto” study, distuingishing it from a true experiment

A

In an ‘ex post facto’ study, groups are formed on the basis of actual differences rather than through randomization

a true experiment has completely random groups

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10
Q

Discuss the idea of a ‘true score’ and measurement error. Use words “variability”, “validity” and reliability” to help explain

A

A “true score” refers to the theoretical, perfect underlying value of a variable that would be obtained if a measurement could be taken without any error, representing the true underlying characteristic of an individual or phenomenon, while “measurement error” is the difference between the observed score (what is measured) and the true score, essentially the degree of inaccuracy in a measurement due to various factors that can introduce variability into the data, impacting the reliability and validity of the measurement.

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11
Q

What is reliability? Give examples of low and high reliability.

A

Reliability refers to the consistency or stability of a measure

low reliability: range of scores is big
high reliability: range is small

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12
Q

Explain how to read a Pearson product- moment coefficiant, and explain what this number can mean in the context of reliability

A

can range from 0.00 to 1.00 (+ or -) the stronger the relationship

0.00 tells us there’s no relationship

+/- tells the direction of the relaitonship

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13
Q

How do you conduct tests of test-retest alt forms, or split-half reliability? What would the results tell you?

A

Test-retest is done by measuring the same individual at the 2 points in time

Alt forms is done by administering 2 different forms of the same test to the same individual at 2 points in time

Split-Half is the correlation of the total score on the other half 2 halves are created by randomly dividing the items in 2 parts

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14
Q

What is Chronbach’s alpha? How is it calculated and what does it mean?

A

Chronbach’s alpha is a reliability indicator based on internal consistency; provides avg. of all possible split-half coefficiants
- To calculate scores on each item are correlated with scores on every other item; large # of correlation coefficients are produced

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15
Q

Define interrator reliability and offer an example?

A

Interrator reliability is the extent to which raters agree in their observations

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16
Q

What is construct validity?

A

Construct validity refers to the adequacy of the operational def of variables
- to what extent does the o.d. reflect the true theoretical meaning of the variable

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17
Q

Define and give examples of face validity, content validity, predictive validity, concurrent validity, and discriminant validity

A

Discriminant validity: when measure is not related to variables with which it should be

Face validity- the evidence for validity is that the measure seems to measure what it’s supposed to

content validity- based on comparing the content of the measure with the universe of content that defines the construct ex. measure of depression would have content that links to each symptom that defines the depression construct

Predictive vvalidity- research shows scores do predict behavior it is intended to predict

concurrent validity- research examines relationship between measurement and criterion behavior at the same true

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18
Q

What does it mean for a measure to be reactive? How can reactivity be reduced?

A

A measure is reactive if awareness of being measured changes an individual behavior

can be reduced by allowing time for individuals to become used to the observer’s presence or recording equiment

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19
Q

Define and give examples of nominal/categorical, ordinal, interval, and ratio measurement scales

A

Nominal- categories (ex. left handed/right handed)
Ordinal- categories ordered from first to last (ex. movie ratings)
Interval- number order (0 does not mean ‘none’) (ex. measure of intellgence)
Ratio- number order (0 means ‘none’) (ex. age or frequency of behavior)

20
Q

Explain the difference between qualititative and quantitative research using examples

A

Qualitative
- collect data in natural settings
- data analysis both inductive and deductive
- establishes patterns or themes

Quantitative
- focuses on variables that can be quantified
- results expressed in numerical terms
- investigations using experiments surveys, structured interviews, and systematic observations

21
Q

Describe how naturalistic observation works, and the kind of data that usually results

A
  • in naturalistic observation, the researcher makes observations of individuals in their natural setting
  • usually describes what occurred in the setting, rather than testing a hypothesis
22
Q

Explain the diff between non participant and participant observations. what are the pros and cons of each strategy. Also consider the options of non concealed vs. concealed observation

A

Nonpartticipant: an outsider who does snot become an active part of the setting
Participant: experience events in the same way as a natural participant (may lose objectivity)

23
Q

Provide examples of naturalistic observation and systematic observations. What are the differences between these two strategies? What are the pros and cons?

A

Naturalistic:
- less useful for studying well defined hypotheses
- seeks to observe specific behaviors
- equipment and reactivity are issues

Ex. of Naturalistic: observing frienships

Ex. of Systematic: observing children play
0 solitary play
- together
- parallel play

24
Q

How is reliability measured in a systematic observations study?

A
  • reliability is measured using 2 or more raters that code behavior
  • reliability is indicated by a high agreement among the raters
25
Q

Explain what a case study is, using examples. Would an intervention performed in a particular classroom be considered a case study?

A

A case study is an observational method that provides description of an individual, group, setting or situation, naturalistic sometimes called a case study

26
Q

Define “archival research.” offer examples of research questions for which this method is best suited

A

Archival research involves using previously compiled info to answer research q
- number of texting related traffic incidents

27
Q

Explain how content analysis works, using examples

A
  • content analysis is the systematic analysis of existing documents

ex: easy to code [whether the address of the applicants on marriage license applications are the same or diff]

28
Q

What is a ‘response set’ in survey research? Explain the social desirability response set, and how we should interpret it in survey results

A

Response set: tendency to respond to all questions from a particular perspective rather than provide answers that are divertly related to the questions

Social desirability: “faking good”
- underreports undesirable behavioors and over reports positive behaviors
- researchers should openly and honestly communicate purpose and uses of research, promise to provide feedback of results, and ensure confidentiality

29
Q

Create examples of survey questions for facts and demographics, behaviors, and attitudes and beliefs

A

Facts and Demographics
“What is your ethnicity”

Behaviors
“How many children do you plan to have”

Attitudes and Beliefs
“How would you rate the lost movie you saw”

30
Q

What is a ‘response set’ in survey research? Explain the social desirability response set, and how we should interpret it in survey results

A

Response set: tendency to respond to all questions from a particular perspective rather than provide answers that are divertly related to they questions

Social desirability: “faking good”
- underreports underirable behaviors and overreports positive behaviors
- researchers should openly and honestly communicate purposes and uses of research, promise to provide feedback of results, and ensure confidentiality

31
Q

Explain what ‘yea-saying’ or nay-saying refers to in survey research, and how to compensate for this tendency

A

When you ask several questions about a topic, a respondent may employ a response set to year saying (agree) or disagree( nay saying) with all the questions

You can detect this response set by wording the questions so that consistent agreement is unlikely

32
Q

What are the pros and cons of using open ended vs closed- ended questions in survey research?

A

Open ended
+ free to answer any way they like
-require time to categorize and code responses
~more likely to be used variables are well defined

Closed
- limited number of response alt.
+ provide more structure
+ responses are same for everyone

33
Q

Where should the most interesting and important questions be placed in a survey

A

first to keep their attention

34
Q

Which m/ scale? Lefty/righty

A

Nomial

35
Q

Which m/ scale? Introverts/extraverts

A

Nomial Scale

36
Q

Which m/ scale? Star rating reastraunts

A

Ordinal

37
Q

Which m/ scale? Ranking TV programs by popularity

A

Ordinal

38
Q

Which m/ scale? Intelligence

A

Interval

39
Q

Which m/ scale? Aptitude test score

A

Interval

40
Q

Which m/ scale? Temperature

A

Interval

41
Q

Which m/ scale? Reaction time

A

ratio

42
Q

Which m/ scale? Age

A

ratio

43
Q

Which m/ scale? Frequencies of behaviors

A

Ratio

44
Q

Internal Validity and Experimental Method

A

Temporal precedence

Co variation

Eliminate plausible alt explanations

45
Q

Changes the fed makes in the money supply

A

money policy

46
Q

An increase in the money supply

A

expansionary monetary policy

47
Q

A decrease in the money supply

A

contractionary monetary policy