Lecture 2 Flashcards

Introduction to Sociological Quantitative Research Design

1
Q

what are the key steps in quantitative research

A
  1. begin with an interest
  2. establish immediate goal (description/explanation) and an end goal
  3. create a research question (and sometimes a hypothesis)
  4. choose an appropriate research design and research tool
  5. establish population and sample
  6. conceptualization
  7. operationalization variables
  8. observe / collect data
  9. data processing
  10. data analysis
  11. report findings
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2
Q

What is included in step 1?
(begin with an interest)

A

Consider what phenomena you are interested in and what groups of people, and a specific place and time if necessary

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3
Q

what is included in step 2(a)?
(establish a goal)

A

this includes a description and explanation

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4
Q

description

A

you want to know something specific about a population and a social phenomenon

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5
Q

why do you want to discover explanations

A

you want to discover explanations for phenomena in the form of relationships

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6
Q

what is included in step 2(b)?
(what is the end goal of your research)

A

possible end goals:
- to understand social phenomenon for a research paper
- to identify community needs
- to evaluate a program or policy

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7
Q

what is progressive quantitative research

A

the use of quantitative research methods and statistics to promote structural change and social reform

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8
Q

how do we create a research question

A

ensure it is clear and focused, feasible/realistic and relevant

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9
Q

what are the research designs

A
  • cross sectional
  • longitudinal
  • comparative
  • experimental
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10
Q

what is the cross-sectional research design

A

collects data at one point in time from participants. it provides a snapshot of relationships between social phenomenon (variables)

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11
Q

what is the longitudinal research design

A

collects data from the same participants over a longer period of time. it tracks changes and developments in social phenomenon

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12
Q

what is the comparative research design

A

compares two + groups, societies, or cultures to understand differences and similarities in social phenomena

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13
Q

what is the experimental research design

A

involves manipulating one variable to observe its effect on another, often with a control group for comparison

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14
Q

surveys and questionnaires

A

set of fixed questions and closed or open responses, delivered to a sample of a population

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15
Q

statistical software

A

computer program used to describe and analyze social phenomenon (variables) using numeric representations; visualizes this data with tables, graphs, and charts

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16
Q

what are the types of research tools we can choose

A
  • surveys
  • questionnaires
  • statistical software
17
Q

population

A

the entire collection of units (people or objects) about which we want information

18
Q

sample

A

the collection of units (people or objects) we actually measure/acquire information about

19
Q

representative sample

A

a subset of a population that is included in your research study; it should ‘reflect’ the characteristics of the population of actual student population should be reflected in the sample

20
Q

how large does a sample have to be in order to create a representative sample from which we can generalize

A

the answer depends on how much natural variability exists within a population, it also depends how much variability there is within a subgroup

21
Q

what is conceptualization

A

the mental process whereby fuzzy and imprecise notions are converted into specific and precise variables

22
Q

what does conceptualization produce

A

conceptualization produces a specific, agreed-on meaning of a concept for the purposes of research

23
Q

what is a variable

A

variables are a characteristic/experience/attribute that changes from one person to another

24
Q

when can you construct your variables

A

once you have a working definition of the phenomenon you want to study you can construct your variables

25
Q

what is operationalization

A

the development of a specific tool to measure/capture the variable that will result in an empirical observation and it is often helpful to start with an indicator of the variables presence

26
Q

do we need to consider attributes to the variable

A

yes, depending on the variable we might need to determine its attributes (the levels to the variable)