Chapter 2 - METHODS Flashcards

1
Q

What are goals of science?

A
  • Description (accurate portrayal/depiction of phenomenon)
  • Explanation (gathering knowledge about “why” phenomenon exists it its causes)
  • Prediction (anticipate an event prior to its occurrence)
  • Control (manipulation of conditions to affect behavior)
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2
Q

What is science?

A

A process or method for generating a body of knowledge
(Represents a logic of inquiry - way of doing things to increase understanding of concepts, processes, & relationships)

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3
Q

Interrelated constructs(concepts), definitions, & propositions that present a systematic view of a phenomenon by specifying a relations among variables, with the purpose of explaining & predicting the phenomenon

A

What is “Theory”?

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4
Q

Statements about the supposed relationships between or among variables

A

What is hypothesis?

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5
Q

What are 5 things that make a good theory?

A
  • Parsimonious: explains a lot, yet simple
  • Precision: specific & accurate in its wording
  • Testability: verifiable by experimentation/study
  • useful: practical, helpful in describing/explaining/predicting important phenomena
  • Generativity: stimulates additional research
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6
Q

What is induction?

A

Data —> Theory

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7
Q

What is deduction?

A

Theory —> Data

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8
Q

What is an independent variable & what are some other names we use for it?

A

Anything that is systematically manipulated

&

Predictor, precursor, & antecedent

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9
Q

What is a dependent variable & what are some other names we use for it?

A

What we’re measuring/assessing

&

Criteria, outcome, or consequence

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10
Q

What is an extraneous variable?

A

Any other variable that can contaminate results

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11
Q

What is validity?

A

Are we measuring what we’re supposed to be measuring?

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12
Q

What is the research process order?

A
Design the study
Analyze data
Collect data
Formulate hypothesis
Report findings
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13
Q

What is internal validity?

A

Extent to which causal inferences can be drawn about variables
(Relating our alternative explanations)

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14
Q

What is external validity?

A

Extent to which results generalize to other people, settings, time (student participants & “real world” applicability

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15
Q

Types of Research Designs: Overview

A
  • Experimental Methods
  • Lab Experiment
  • Field & quasi-experiments
  • observational methods
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16
Q

What are field experiments?

A

Random assignment & manipulation of IV in a naturally occurring, real-world setting

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17
Q

What are quasi-experiments?

A

Field experiment without random assignment and not always practical to randomly assign participants; use of intact groups

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18
Q

What is manipulation in experimental methods?

A

Systematic control of one or more independent variables

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19
Q

What is Random Assignment in experimental methods?

A

Each participant has an equally likely chance of being assigned to each condition

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20
Q

What are observational methods in research designs?

A

Also called, correlations designs, descriptive research

  • do not involve random assignment or manipulation of IVs
  • make use of available resources
  • can draw conclusions about relationships but NOT casualty
  • common in field settings
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21
Q

Examinations of a single individual, group, company, or society
—> interviews, historical analysis, research into the writings of policies of an individual/organization

—> main purpose: is to describe &/or explain

A

Case studies

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22
Q

What type of research relies on “secondary” data sets?

A

Archival research

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23
Q

What type of data is collected at one point in time from a single group of respondents?

A

Cross-sectional data

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24
Q

What type of data is collected over multiple time periods so that changes in attitudes & behaviors can be examined

A

Longitudinal data

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25
What are self-administered questionnaires & where are they used?
Used in both lab & field settings - Surveys that are completed by respondents in the absence of an investigator - can be given to large groups at once - easy to administer - give respondents anonymity
26
What are the two approaches to using method of data collection?
- self-administered | - interviews
27
What are the two major concerns of accuracy of measurement?
- reliability | - validity
28
What is reliability?
Consistently/stability of a measure
29
What is test-retest reliability? | Give an example of it
The stability of a test over time Also called coefficient of stability Example: participants are given a test at Time 1 & then given the exact same test at Time 2
30
What is parallel forms reliability? Give an example of it
The two tests are measuring the same thing Ex: Two different forms of a final, survey on paper & computer, test for disabled applicants
31
What is interrater reliability?
Extent to which multiple judges/raters agree on ratings of a particular thing or person
32
What is internal consistency reliability?
Extent to which individual test items seem to be measuring the same thing
33
What type of reliability is split the test in half to see if one half is equivalent to the other?
Split-half reliability
34
What type of reliability is examining the correlations among all test items to determine consistency.
Inter-item reliability (Cronbach’s coefficient alpha)?
35
What is the rule of thumb for reliability?
.70
36
Extent to which a test measures the underlying construct that it was intended to measure Ex: self-esteem, intelligence, motivation, cognitive ability
Construct Validity
37
Degree to which a test/predictor covers a representative sample of the quality being assessed
Content Validity
38
Degree to which a test is a good predictor of attitudes, behavior, or performance
Criterion-related Validity
39
Extent to which test scores obtained at one point in time predict criteria obtained at some later time Ex’s: GREs, GPAs, research experience, predicting later success in graduate school
Predictive Validity
40
How well a test predicts a criterion that is measured at the same time test is administered Ex: want to see if newly developed selection tests predict performance of current employees
Concurrent Validity
41
Degree to which a measure of the construct is related to measures of other, similar constructs
Convergent Validity
42
Degree to which a measure of the construct is related to measures of other, dissimilar products
Divergent Validity
43
What are the two approaches to construct validity?
- content validity | - criterion-related Validity
44
What are the two approaches to criterion-related Validity?
- predictive validity | - concurrent validity
45
Summarized in a single # the values, characteristics, or scores describing a series of cases
Statistics
46
What are the measures of Central Tendency?
- Mode - Median - Mean
47
Score in the middle of a distribution - extreme scores do not affect this - mostly use this for skewed data
Median
48
Most frequent single score in a distribution - useful with categorical data
Mode
49
Arithmetic average of a group of scores | - sensitive to extreme scores
Mean
50
Characterize a typical member of the group
Measures of Central Tendency
51
Inform us how closely scores are grouped around the measure of Central Tendency; “spread-outedness” of the data
Measures of Dispersion
52
What are the three measures of dispersion?
- range - variance - standard deviation
53
Spread of scores from the lowest to the highest
Range
54
Most useful measure of dispersion | - sum of squared differences between each score & the mean
Variance
55
Square root of the variance; retains original metric of scores
Standard deviation
56
This distribution is - symmetrical - bell shaped curve - proportions will be same for (+) & (-) scores Ex: job attitudes, intelligence, performance
Normal Distribution
57
What does correlation coefficient (r) indicate?
- indicates direction of the relationship - indicates the strength/sign of the relationship between two variables Magnitude —> 0 - 1.00
58
What is coefficient of determination (r2)?
Coefficient of determination (r2): percentage of variance accounted for by the predictor
59
Allows us to predict one variable from another - how much variance in a criterion variable is accounted for by a predictor variable (The higher the overlapping is, the better the predictor is)
Regression
60
- methodology used to conduct quantitative literature reviews - used to combine the results of multiple studies to arrive at the best estimate of the true relationship
Meta-Analysis