Quota Sampling

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***Assignment Details***

• Refine the first four of your Ten Strategic Points 

– Use feedback and reflection to begin revision of:

• Topic

• Literature Review

• Problem Statement

• Population/Target Population/Sample/Location

Research Methodology: Sample and Location

RSD851

College of Doctoral Studies

Greetings & Welcome To Today’s Workshop

Professors’ Introductions

Discussion of Agenda

Two Minute Progress Overview By Student

Please time students’ overviews of their dissertation progress. Students need to be held to a two minute presentation.

2

Population, Target Population and Sample: Why is it so confusing?

12/2/2019

3

Target Population

Sample

Participants or data providing input or information about the sample

Population

The number of people or programs being studied or observed – e.g. Sample size=6

Data Collection/Analysis

This topic tends to be very confusing for the participants. Please take time to explain the slide. Remind them that the sample for quantitative studies needs to be much larger than qualitative studies. Learners will need to do a Power Analysis to determine how large the sample must be for a Quantitative study. For qualitative studies they are smaller especially if doing in-depth interviews– but may be much larger if using questionnaires with open questions since interviews collect a lot more information for each person in much more detail. Therefore interviews yield a lot more data per interview to do coding and thematic analysis.

3

Population And Sample

Identify the population of the study

Identify the sampling design (single stage or clustering)

Describe the selection process and procedure

Determine the sampling size

Sampling Methods

Random Sampling

True Experimental Procedure

Subjects Have Equal Probability of Being Selected

Sample Is Representative of Population

Nonrandom Sampling

Quasi-experimental procedure

Conveniently Selected

Usage of Naturally Formed Groups

Helpful Note: Examples of a Naturally Formed Group include school district, school, classroom, or specific organization

5

Random Sampling Methods

Stratified Random Sampling

Systematic Random Sampling

Cluster (Area) Random Sampling

Multi-Stage Sampling

Please share the following and your experience with students:

Stratified Random Sampling

Selection From Subgroups

Systematic Random Sampling

Selection From An Ordered Sampling Frame

Cluster (Area) Random Sampling

Selection From A Natural Homogeneous Groupings

Multi-Stage Sampling

Selection from pre-structured groups

6

NonRandom Sampling Methods

Convenience Sampling

Sample is conveniently accessible to a researcher

Sample is easy to access

Sample is not an accurate representation of the population

Purposeful Sampling

Selection of a specific group of people within a population

The selected group contains individuals that are most information

The intent is to describe the population as a whole

Examples of Purposeful Sampling

Modal Instance Sampling

Expert Sampling

Quota Sampling

Nonproportional Quota Sampling

Heterogenity Sampling

Snowball Sampling

7

Sampling Terminology

Population

Sample

Theoretical Population

Accessible Population

Sampling Frame

Population And Sample Commonly Held Questions

What is the primary difference between a population and sample?

Who do you want to generalize to?

Should the entire population be used as the sample?

How should the size of the sample be determined?

Professors please provide answers to these questions for students

9

Homework

TONIGHT

Refine the first four of your Ten Strategic Points

Use feedback and reflection from today to begin revision of:

Topic

Literature Review

Problem Statement

Population/Target Population/Sample/Location

Update your 10 Strategic Points on the wall before class tomorrow

12/2/2019

10

Please open the Choosing Methodology and Design tool. Demonstrate how the tool works. Clicking on buttons and using the back button for navigation. Then send the group on the activity.

Please remind students to update their 7 Strategic Points before class tomorrow

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