Principles of Survey Research
Chapters
▾
Chapter 1: Introduction
Chapter 2: Survey: Measurement and Scaling
Chapter 3: Questionnaire
Chapter 4: Sampling
Chapter 5: Data Analysis: A Concise Overview of Statistical Techniques
Chapter 6: Advanced Techniques of Market Analysis
Chapter 7: Reporting Results
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Principles of Survey Research
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Chapter 4
Chapter 4
Sampling
37
slides · Slide 117–153
Start chapter →
117
Chapter opener
118
Dewey Defeats Truman
119
Sampling
120
Sampling
121
Sampling: Two General Methods
122
Sampling Techniques
123
Sampling
124
Convenience Sampling
125
Judgmental Sampling
126
Quota Sampling
127
Snowball Sampling also chain sampling
128
Sampling
129
Sampling Techniques
130
Simple and Systematic Random Sampling
131
Stratified Sampling
132
Cluster Samplingalso called cluster sampling
133
Sampling
134
Strengths and Weaknesses of Basic Sampling Techniques
135
Sampling
136
Determining the Sample Size
137
Sample Sizes Used in Marketing Research Studies
138
A survey result — and how certain is it?
139
Margin of Error Approach to Determining Sample Size
140
Margin of error approach: two formulas
141
Margin of Error Approach: Two Formulas
142
Margin of Error Approach: Two Formulas
143
z-Values and Maximum Margin of Error
144
What Is the Margin of Error?
145
How Large Must the Sample Be?
146
What If the Population Is Small?
147
Correcting the Sample Size
148
Correction for a small population: ± 1 %
149
Correction for a small population: ± 5 %
150
Correction for a small population: ± 10 %
151
Confidence Interval and Confidence Level
152
Confidence Interval, Margin of Error, and Sample Size
153
What the Margin of Error Formula Tells Us