Research Methods Flashcards

1
Q

The Research Cycle

A

1.Figure out what matters to you (values, context, state of field)
2.Formulate a testable theory (tentative explanation of a phenomenon that usually specifies cause[s] + effect[s])
•Choices governed by social context/funding

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

The Research Cycle

A
  1. Review existing literature for inspiration + prevent duplication, we want to add to knowledge
  2. Select method(s) appropriate for the problem
  3. Collect data
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

The Research Cycle

A
  1. Treat subjects ethically to ensure no harm, anonymity, etc.
    •aware of risks, respect of privacy
  2. Analyze data
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

The Research Cycle

A
  1. Report results so they can be evaluated, rejected/accepted, applied
    Conference, journal, book: we can’t contribute if we keep knowledge a secret – science is a social institution
    •rule is attack: everybody else is obliged to systematically find flaws in research
    •encourages researchers to do better next time
    •add to stock of knowledge + formulate policies
    •give others opportunity to criticize
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Operationalization

A

establishing criteria for assigning numerical value or qualitative values to variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

reliable

A

consistent results

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

valid

A

measurement procedure measures what it is supposed to

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Causality

A

measurement of causes and their effects

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

generalizable

A

research findings hold in many contexts

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Validity, reliability, and generalizability may be explained by drawing an analogy between measuring a variable and firing at a bull’s-eye

A

case 1, measures far apart (not reliable) + far from bull’s-eye (not valid)
case 2, shots close (reliable) but far from bull’s-eye (not valid)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Validity, reliability, and generalizability may be explained by drawing an analogy between measuring a variable and firing at a bull’s-eye

A

case 3, shots close to bull’s-eye (valid) + close to each other (reliable).
case 4, use a second target - shots close to each other (reliable) + close to the bull’s-eye (valid) again.
Because measures were valid + reliable in both cases 3 + 4, we conclude that our results are generalizable.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

participant observation

A

observe social setting from outsider’s POV + take part in activities of subjects
•analytically, systematically, from the outside observe
•participation only: not able to observe objectively, lack of outside information
•only by regularly stepping apart do we get the chance to see what subjects are blind to
•only outside: we don’t understand the culture or why, we don’t know what it means
•we have to move back and forth

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Participant Observation: Advantages

A

Promotes understanding meaning of subjects’ actions
Good for exploratory research (theory construction)
•Often engaged in process of theory construction – mechanism for causal theory

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Participant Observation: Disadvantages

A

High potential for reactivity
Bad for theory testing (establishing cause and effect)
Low reliability: subjective – might be different if someone else did it
•Researchers right there – subjects acting in way to please researchers
•Gotta gain confidence + trust – important if subjects are very different from you

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

experiment

A

carefully controlled artificial situation that allows researchers to isolate hypothesized cause + measure effect precisely
•Remove some of the problems from observation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Experiments

A

1 Recruit subjects: need ppl, advertise
2 Randomly assign them: randomization removes bias
3 Experimental group: group exposed to independent variable (hypothesized cause)
3 Control group: group not exposed

17
Q

Experiments

A

4 Measure dependent variable in experimental + control
5 Expose experimental group to independent variable
5 Do not expose control group to independent variable
6 Re-measure dependent variable in experimental + control to determine the degree to which it has changed
•if any change there can only be 1 cause
•we have to do this over and over again to ensure both groups are alike

18
Q

Experiments: Advantages

A

Very high reliability
Very good for theory testing (establishing cause and effect)
•Measure things precisely consistently

19
Q

Experiments: Disadvantages

A
Do not promote understanding of motives + culture
Not useful for exploratory research (theory construction)
Low validity (in sociology): not real life setting
20
Q

Surveys

A

form containing questions mailed to the respondent + returned to the researcher through the mail system, not very effective
face-to-face interview survey: questions presented by the interviewer during a meeting

21
Q

Surveys

A

telephone survey: questions presented by the interviewer over the phone, frequent
•Self select – must be highly motivated, not representative

22
Q

Surveys

A

closed-ended question provides respondent with a list of permitted answers
open-ended question allows respondents to answer in their own words.

23
Q

Sampling

A

sample is part of a group.

voluntary response sample: group of people who chose themselves in response to a general appeal – not scientific

24
Q

Sampling

A

convenience sample: ppl easiest to reach – results not reliable, don’t like this
representative sample: group chosen randomly so characteristics closely match those of the population of interest

25
Q

Sampling

A

sampling frame: list of all ppl in the pop of interest.
randomizing method: way of ensuring every person in sampling frame has chance of being selected
•1000-1500 – gonna be pretty accurate
•because of unknown biases/bad luck – it might be outside standard error

26
Q

Sampling Error

A

•conventionally tolerate 5% chance that sample is different than population
Support for party A is 48%. Support for party B is 50%
measures are accurate ± 2.5%, with margin of error measures fall within overlapping margins of error, conclude measured diff in pop not statistically significant

27
Q

Sampling Error

A

48%-55% measures fall outside margins of error, conclude measured diff in pop statistically significant.
•probability sampling permit us to generalize within known margins of error

28
Q

Surveys: Advantages

A

Good reliability + validity
Good for theory testing (ease of quantification)
•because it can be repeated
•allow us to see relationship between causes + effects

29
Q

Surveys: Disadvantages

A

Not great for exploratory research

30
Q

contingency table

A

cross-classification of cases by at least two variables that allows you to see how/if variables are associated

31
Q

contingency table

A

Percent of cases in each column that fall into a category of each row variable
Independent variable in column
Dependent variable: rows

32
Q

contingency table

A

total frequency (n): Number of cases in each column
total percent: Percent of cases in each column
percentage difference: Measure of strength of association
•bigger the percentage, the stronger the association
•no difference means there is no effect
•strength of association determined by percentage difference

33
Q

Testing an Association for Spuriousness (= “phoniness”)

A

(1) believe there is a causal relationship between TV viewing and aggressiveness
(2) By controlling for gender we can see whether gender has created a spurious association between TV viewing and aggressiveness

34
Q

Testing an Association for Spuriousness (= “phoniness”)

A

•engaging in statistical manipulation to eliminate irrelevant variable
•analysis of survey data looking at relationship between hypothesized causes + effects through statistical
control factors: explain original association
•allows you to conclude original association was spurious it was actually the control factors

35
Q

Positive + Negative Freedom

A
  • Negative freedom: freedom from constraints that would otherwise prevent me from doing as I wish
  • Positive freedom: capacity to act rationally, involves taking control of one’s life and realizing one’s best interest
36
Q

Conclusions

A
  • Peace in the Middle East
  • Decreasing social solidarity = lower rate of altruistic suicide
  • higher standards of security + well-being to most vulnerable - natural disasters
  • More negative + positive freedom
  • State intervention
  • engaging + higher-quality schools, widely accessible childcare programs to inner-city
37
Q

Spuriousness - Experimental

A

remove effect of extraneous variables by randomizing allocation of subjects to experimental + control groups + repeating experiments many times

38
Q

Spuriousness - Nonexperimental

A

remove the effect of extraneous variables by controlling for variables that we expect may be irrelevant