2206 Flashcards

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1
Q

What is theory?

A

Ideas used to explain causes and/or consequences of social phenomena

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2
Q

a mixture of both observations and interpretations

A

Research

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3
Q

. Theory
* 2. Hypothesis – testable statements about your theory * 3. Data collection
* 4. Findings
* 5. Hypotheses confirmed or rejected
* 6. Possible revision of theory
Relationship between Theory and Research

A

deductive research

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4
Q
  1. Gather data – often ‘loose’ in subject and very detailed
  2. Make statements or generalizations about data
  3. Derive explanatory theory from these statements
A

Inductive

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5
Q

What is the nature of being? Of reality? Of existence?

A

ontology

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6
Q

– Mostly use numbers as description/evidence
– Deductive approach most common
* Theory testing and observation important
– Natural science/positivist model
– Social reality is external to the people in it

A

Quantitative approach

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7
Q

Mostly uses words as description/evidence
– Inductive approach most common
– Try to determine how people interpret their social world
– See social reality as an ‘emergent’ property of peoples’ social constructions

A

qualitative approach

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8
Q

Values

A

Personal beliefs and morals, feelings, preconceptions

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9
Q

3 main types of validity

A
  1. Measurement
  2. Internal 3. External
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10
Q

Case Study Design

A
  • A basic case study involves an in-depth study of a
    single case.
    – Can be a person, family, organization, event, etc.
    – Examples:
  • Oscar Lewis ‘The Culture of Poverty’ (Sanchez family: Mexico)
  • Rinehart ‘The Tyranny of Work’ (Auto Factory)
  • White ‘Street Corner Society’ (Italian immigrant community)
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11
Q

Cross-Sectional Designs

A
  • Observations made at only one point in time
  • No manipulation of the independent variable (no ‘treatment’ is given)
  • Two or more variables are measured in order to detect patterns of association
    – Examples: questionnaires, structured interviews
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12
Q

Cross sectional cont

A
  • Can be used to examine the effect of variables that cannot be manipulated in experiments
    – Ex. age, gender, ethnicity, culture, social class, etc.
  • Examples:
  • Obesity and social stigma
  • Alcohol consumption and depression
    Cross-Sectional Designs * Often weak in internal validity and high in external validity
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13
Q
  • Two basic types:
  • Panel study:
    – Cases are examined at a particular time (T1), and again at a
    later time or times (T2, T3, etc.)
    – Ex. National Longitudinal Survey of Children and Youth (NLSCY)
  • Large sample of children aged 0-11 years old in 1994
  • Exact children found again in 1996, 1998, 2000, 2002, 2004, 2006,
    2008
  • Time series analysis (cohort study):
    – different people are studied at each time
  • Sample 1 (S1) at T1, S2 at T2, S3 at T3
    – Ex. ‘Canadian Labour Force Survey’ (LFS) new random sample of Canadians each month
    45
A

longitudinal design

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14
Q

Sampling

A
  • Probablility (scientific) sampling
  • Non-probability (non-scientific) sampling
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15
Q

Only qualitative differences between categories

A

Nominal level of measurement

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16
Q

Categories of variable can be ranked or ordered ( agree, somewhat agree, disagree)

A

Ordinal level of measurement

17
Q

: Categories/values are rank ordered and amount of difference between them is uniform

A

Interval/Ratio level of measurement

18
Q

arithmetic average

A

Mean

19
Q

middle value

A

median

20
Q

: Is this measure/method consistent?

A

Reliability

21
Q

: Anyone should be able to get the results you got, using the same methods and sample

A

Replicability

22
Q

: how believable are the findings?

A

Credibility

23
Q

: Are the findings consistent over time (where we expect them to be)?

A

dependability

24
Q

Would another researcher reach the
same conclusions?

A

confirmability