Marketing Research Aaker, Kumar, Leone and Day Eleventh Edition

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Presentation transcript:

Marketing Research Aaker, Kumar, Leone and Day Eleventh Edition Instructor’s Presentation Slides

Sampling Fundamentals Chapter Fourteen Sampling Fundamentals http://www.drvkumar.com/mr11/ Marketing Research 11th Edition

Sampling Fundamentals When is census appropriate? Population size is quite small Information is needed from every individual in the population Cost of making an incorrect decision is high Sampling errors are high http://www.drvkumar.com/mr11/ Marketing Research 11th Edition

Sampling Fundamentals (Contd.) When is sample appropriate? Population size is large Both cost and time associated with obtaining information from the population is high Quick decision is needed To increase response quality since more time can be spent on each interview Population being dealt with is homogeneous If census is impossible http://www.drvkumar.com/mr11/ Marketing Research 11th Edition

Error in Sampling Total Error Sampling Error Non-sampling Error Difference between the true value and the observed value of a variable Sampling Error Error is due to sampling Non-sampling Error Error is observed in both census and sample http://www.drvkumar.com/mr11/ Marketing Research 11th Edition

Error in Sampling (contd.) Sources of non-sampling error Measurement Error Data Recording Error Data Analysis Error Non-response Error http://www.drvkumar.com/mr11/ Marketing Research 11th Edition

Sampling Process Determining Target Population Well thought out research objectives Consider all alternatives Know your market Consider the appropriate sampling unit Specify clearly what is excluded Should be reproducible Consider convenience http://www.drvkumar.com/mr11/ Marketing Research 11th Edition

Sampling Process (Contd.) Determining Sampling Frame List of population members used to obtain a sample Issues: Obtaining appropriate lists Dealing with population sampling frame differences Superset problem Intersection problem Selecting a Sampling Procedure Choose between Bayesian and Traditional sampling procedure Decide whether to sample with or without replacement http://www.drvkumar.com/mr11/ Marketing Research 11th Edition

The Sampling Process http://www.drvkumar.com/mr11/ Marketing Research 11th Edition

Sampling Techniques Probability Sampling Simple Random Sampling All population members have a known probability of being in the sample Simple Random Sampling Each population member and each possible sample has equal probability of being selected Stratified Sampling The chosen sample is forced to contain units from each of the segments or strata of the population http://www.drvkumar.com/mr11/ Marketing Research 11th Edition

Types of Stratified Sampling Proportionate Stratified Sampling Number of objects/sampling units chosen from each group is proportional to number in population Can be classified as directly proportional or indirectly proportional stratified sampling Disproportionate Stratified Sampling Sample size in each group is not proportional to the respective group sizes Used when multiple groups are compared and respective group sizes are small http://www.drvkumar.com/mr11/ Marketing Research 11th Edition

Directly Proportional Stratified Sampling http://www.drvkumar.com/mr11/ Marketing Research 11th Edition

Inversely Proportional Stratified Sampling Assume that among the 600 consumers in the population, 200 are heavy drinkers and 400 are light drinkers. If a research values the opinion of the heavy drinkers more than that of the light drinkers, more people will have to be sampled from the heavy drinkers group. If a sample size of 60 is desired, a 10 percent inversely proportional stratified sampling is employed. The selection probabilities are computed as follows: Denominator Heavy Drinkers proportional and sample size Light drinkers proportional and sample size 600/200 + 600/400 = 3 + 1.5 = 4.5 3/ 4.5 = 0.667; 0.667 * 60 = 40 1.5 / 4.5 = 0.333; 0.333 * 60 = 20 http://www.drvkumar.com/mr11/ Marketing Research 11th Edition

Cluster Sampling Involves dividing population into subgroups Random sample of subgroups/clusters is selected and all members of subgroups are interviewed Very cost effective Useful when subgroups can be identified that are representative of entire population http://www.drvkumar.com/mr11/ Marketing Research 11th Edition

Comparison of Stratified & Cluster Sampling Processes Homogeneity within group Heterogeneity between groups All groups are included Sampling efficiency improved by increasing accuracy at a faster rate than cost Homogeneity between groups Heterogeneity within groups Random selection of groups Sampling efficiency improved by decreasing cost at a faster rate than accuracy. Stratified sampling Cluster sampling http://www.drvkumar.com/mr11/ Marketing Research 11th Edition

Systematic Sampling Involves systematically spreading the sample through the list of population members Commonly used in telephone surveys Sampling efficiency depends on ordering of the list in the sampling frame http://www.drvkumar.com/mr11/ Marketing Research 11th Edition

Non Probability Sampling Costs and trouble of developing sampling frame are eliminated Results can contain hidden biases and uncertainties Used in: The exploratory stages of a research project Pre-testing a questionnaire Dealing with a homogeneous population When a researcher lacks statistical knowledge When operational ease is required http://www.drvkumar.com/mr11/ Marketing Research 11th Edition

Types of Non Probability Sampling Judgmental "Expert" uses judgment to identify representative samples Snowball Form of judgmental sampling Appropriate when reaching small, specialized populations Each respondent, after being interviewed, is asked to identify one or more others in the field Convenience Used to obtain information quickly and inexpensively Quota Minimum number from each specified subgroup in the population Often based on demographic data http://www.drvkumar.com/mr11/ Marketing Research 11th Edition

http://www.drvkumar.com/mr11/ Marketing Research 11th Edition

Quota Sampling - Example http://www.drvkumar.com/mr11/ Marketing Research 11th Edition

Non-Response Problems Respondents may: Refuse to respond Lack the ability to respond Be inaccessible Sample size has to be large enough to allow for non response Those who respond may differ from non respondents in a meaningful way, creating biases Seriousness of non-response bias depends on extent of non response http://www.drvkumar.com/mr11/ Marketing Research 11th Edition

Solutions to Non-response Problem Improve research design to reduce the number of non-responses Repeat the contact one or more times (call back) to try to reduce non-responses Attempt to estimate the non-response bias http://www.drvkumar.com/mr11/ Marketing Research 11th Edition

Shopping Center Sampling 20% of all questionnaires completed or interviews granted are store-intercept interviews Bias is introduced by methods used to select Source of Bias Selection of shopping center Point of shopping center from which respondents are drawn Time of day More frequent shoppers will be more likely to be selected http://www.drvkumar.com/mr11/ Marketing Research 11th Edition

Shopping Center Sampling (Contd.) Solutions to Bias Shopping Center Bias Use several shopping centers in different neighborhoods Use several diverse cities Sample Locations Within a Center Stratify by entrance location Take separate sample from each entrance To obtain overall average, strata averages should be combined by weighing them to reflect traffic that is associated with each entrance http://www.drvkumar.com/mr11/ Marketing Research 11th Edition

Solutions to Bias (contd.) Time Sampling Stratify by time segments Interview during each segment Final counts should be weighed according to traffic counts Sampling People versus Shopping Visits – Options: Ask respondents how many times they visited the shopping center during a specified time period, such as the last four weeks and weight results according to frequency Use quotas, which serve to reduce the biases to levels that may be acceptable Control for sex, age, employment status etc. The number sampled should be proportional to the number of the quota in the population http://www.drvkumar.com/mr11/ Marketing Research 11th Edition

Different Levels of Sampling Frames http://www.drvkumar.com/mr11/ Marketing Research 11th Edition

End of Chapter Fourteen http://www.drvkumar.com/mr11/ Marketing Research 11th Edition