Steps in the Sampling Process Define the population
Frame the population
Choose a sample design
Draw the sample
Execute the research

Designing the Sampling Procedure:

Designing the Sampling Procedure Probability (random) samples
simple random sampling; systematic sampling
stratified sampling
cluster sampling
Nonprobability samples
judgment sampling
convenience sampling
volunteer sampling
quota sampling

Probability Samples:

Probability Samples When to use stratified sampling over SRS:
Primary research objective is to compare groups
There are separate confidence interval objectives by strata
Variances differ by strata
Costs differ by strata
Prior information differs by strata

Probability Samples:

Probability Samples Examples of cluster sampling: Blocks (for consumers); dormitories or classes(for college students)
When to use cluster sampling over SRS:
When travel costs can be reduced as a result
When there are substantial fixed costs associated with each data collection location
When there is a list of clusters but not of individual population members

Probability vs. Nonprobability Samples:

Probability vs. Nonprobability Samples Probability samples allow hypotheses tests through inferential statistics
Biases of nonprobability samples:
Subjects not typical of population
Easily manipulated
Biased toward well-known population members
Biased against unusual population members

Probability vs. Nonprobability Samples:

Probability vs. Nonprobability Samples Nonprobability samples are adequate when:
the sample is very small
the population is homogenous on the variable being studied
informal, exploratory research is being done
it is desired to screen out “loser” products

Discussion:

Discussion Provide the marketing researcher’s definitions for each of the following populations:
Columbia House, a mail order house specializing in tapes and CDs, wants to determine interest in a 10-for-1 offer on hard rock CDs.
The manager of your student union is interested in determining if students desire a “universal checking account ID card” that will be accepted anywhere on campus and in many stores off campus.
Joy Mfg. Co. decides to conduct a survey to determine the sales potential of a new type of air compressor used by construction companies.

Discussion:

Discussion Taco Bell approaches an official at your university and proposes to locate one of its restaurants on campus. Because it would be the first commercial interest of this sort on this campus, the administration requires Taco Bell to conduct a survey of students to assess the desirability of this operation. Analyze the practical difficulties with doing a census in this situation, and provide specific examples of each one. For example, how long might such a census take? How much might it cost? What types of students are more accessible than others?...

Sampling and Nonsampling Errors:

Sampling and Nonsampling Errors Nonsampling error:
Unrelated to the sampling of respondents
Sampling error
Samples do not always reflect a populations’ true characteristics. Controlled by sample size.
Sample bias
Members of sample differ from larger population in some systematic fashion. Controlled by defining population and selective representative sample.

Sampling Error:

Sampling Error Sampling error is the standard deviation of the distribution of sample means.
The larger the sample, the smaller the sampling error

The Confidence Interval Approach:

The Confidence Interval Approach Confidence intervals
Example: 95% of values in normal distribution fall within ± 1.96 standard deviations from the mean of the distribution.
Therefore, for the population mean, 95% of values in normal distribution will fall within the interval

The Confidence Interval Approach:

The Confidence Interval Approach To determine sample size using a mean:
Use the formula
For 95% CI, z = 1.96
Must estimate s
Must assign a value to e

The Confidence Interval Approach:

The Confidence Interval Approach To determine sample size using a percentage:
Use the formula
For 95% CI, z = 1.96
Must estimate p. Then, q = 1 - p
Must assign a value to e

The Confidence Interval Approach:

How to estimate variability in a population:
Prior research (secondary sources,…)
Experience
Intuition
Range divided by 6 (for means)
Worst possible scenario = .5 (for percentages)
How to determine amount of precision desired:
Cost and feasibility of having a large sample
Client’s tolerance for uncertainty The Confidence Interval Approach

Discussion:

Discussion Last year, Lipton Tea Company conducted a mall-intercept study at six regional malls in the U.S. and found that 20% of the public preferred tea over coffee as a mid-afternoon hot drink. This year, Lipton wants to have a nationwide telephone survey performed with random digit dialing. What sample size should be used in this year’s study in order to achieve an accuracy level of ± 2.5% at the 99% level of confidence? What about at the 95% level of confidence?

Value of Information Approach:

Value of Information Approach CI method ignores:
Relative importance of project
New versus old products
Cost per observation
Value of information is more decision-oriented: best for “problem solving” research

Value of Information Approach:

Value of Information Approach Factors relating to the value of information:
Uncertainty about the proper course of action
Gains or losses available from the decision
Nearness to breakeven
Calculating sample size. Two main considerations:
marginal value of additional units decreases
marginal cost of additional units increases

Nonstatistical Approaches:

Nonstatistical Approaches Using previous sample sizes
Using typical sample sizes
Using a “magic number”
Anticipation of subgroup analyses
Use of resource limitations
Use of expert guidance

Discussion:

Discussion What sample size would you use? Why?
Design for a new microwave oven
Major new product introduction for company
Research objective: what would the market share for this new product be?
Previous introductions:
Similarly-designed conventional oven: 36% of those questioned prefer new design over any other
Similarly-designed deep fryer: 17% of those questioned prefer new design over any other
1% market share = $5,000,000

You do not have the permission to view this presentation. In order to view it, please
contact the author of the presentation.

Send to Blogs and Networks

Processing ....

Premium member

Use HTTPs

HTTPS (Hypertext Transfer Protocol Secure) is a protocol used by Web servers to transfer and display Web content securely. Most web browsers block content or generate a “mixed content” warning when users access web pages via HTTPS that contain embedded content loaded via HTTP. To prevent users from facing this, Use HTTPS option.

By: aaartii (18 month(s) ago)

This is really nice one