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Overview

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Sampling occurs when one takes/draws a portion of a population because of reality constraints. ... random sample is drawn from each stratum. Proportionate ... – PowerPoint PPT presentation

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Title: Overview


1
Overview
  • The Syllabus General Overview of Class
  • Review of 5020 Research Designs
  • Introduction to Sampling
  • Methodology Paper Part I

2
SW 5050 Overview
  • Course Structure
  • Assignments
  • Goals

3
5020 Review
  • Definition of Research
  • The Research Process/Standardized Procedures
  • Categories Types of Research Designs

4
Sampling Definitions
  • Population
  • All possible cases. The whole or totality with
    which the research is concerned.
  • Sample
  • One or more elements selected from a population
    for the purpose of study.
  • Sampling
  • The process of selecting participants. Sampling
    occurs when one takes/draws a portion of a
    population because of reality constraints.

5
Categories of Sampling
  • Probability Sampling
  • Also known as random sampling
  • Highly precise, scientific technique
  • Able to calculate sampling error
  • Chance dictates selection
  • Speaks directly to the issue of external validity
  • Must have a sampling frame

6
Categories of Sampling
  • Non-probability Sampling
  • Also known as non-random sampling
  • Much less scientific and precise
  • Self-selection or selection by researcher
  • Serious problems with external validity
  • Cannot calculate sampling error
  • No sampling frame

7
Non-Probability Sampling Strategies
  • Convenience Sampling
  • Purposive Sampling
  • Snowball Sampling
  • Quota Sampling

8
Probability Sampling Strategies
  • Simple Random Sampling
  • Systematic Random Sampling
  • Stratified Random Sampling
  • Proportionate and disproportionate

9
Probability Sampling Strategies (continued)
  • Simple Random Sampling
  • Each element in the population has an equal
    chance of being selected
  • Sampling frame required
  • Random numbers table employed

10
Probability Sampling Strategies (continued)
  • Systematic Random Sampling
  • Variation of simple random sampling
  • Every nth element from the sampling frame is
    selected and included in the sample
  • Must create a sampling interval
  • Periodicity concerns

11
Probability Sampling Strategies (continued)
  • Stratified Random Sampling
  • Population is divided into strata, based on
    important characteristics
  • Simple random sample is drawn from each stratum
  • Proportionate vs. disproportionate

12
Methodology Paper Part I
  • Articulation of how you will answer your
    research question(s)
  • Two Key Parts Research Design Sampling Plan
  • Chapter III of the thesis
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