What are the key differences between active and passive forms of social media research?
> What is the product moment correlation coefficient? Does a product moment correlation of zero between two variables imply that the variables are not related to each other?
> How is the relative importance of factors measured in a balanced design?
> What is the null hypothesis in one-way ANOVA? What basic statistic is used to test the null hypothesis in one-way ANOVA? How is this statistic computed?
> What interrelated events occur in the environmental context of a research problem?
> What is total variation? How is it decomposed in a one-way analysis of variance?
> What is the relationship between analysis of variance and the t test?
> What is multivariate analysis of variance? When is it appropriate?
> Describe two tests used for examining differences in central tendencies in non-metric ANOVA.
> What are the differences between metric and non-metric analyses of variance?
> What is meant by repeated measures ANOVA? Describe the decomposition of variation in repeated measures ANOVA.
> Discuss the similarities and differences between analysis of variance and analysis of covariance.
> What is the general rule for computing percentages in cross-tabulations?
> What is the major difference between cross-tabulation and frequency distribution?
> What is a skewed distribution? What does it mean?
> Describe some of the reasons why management are often not clear about the ‘real’ research problem that needs to be addressed.
> How is the relative flatness or peakedness of a distribution measured?
> What measures of location are commonly computed?
> Describe the general procedure for conducting a t test.
> Present a classification of hypothesis testing procedures.
> Discuss the reasons for the frequent use of cross-tabulations. What are some of the limitations?
> Describe the procedure for computing frequencies.
> What options are available for the treatment of missing data?
> What kinds of consistency checks are made in cleaning the data?
> What does transcribing the data involve?
> Describe the guidelines for the coding of unstructured questions.
> What is the significance of the ‘background’ section of a research brief and research proposal?
> What is the difference between pre-coding and post-coding?
> How are unsatisfactory responses that are discovered in editing treated?
> What is meant by editing a questionnaire?
> What activities are involved in the preliminary checking of questionnaires that have been returned from the field?
> What considerations are involved in selecting a data analysis strategy?
> Which scale transformation procedure is most commonly used? Briefly describe this procedure.
> Explain why scale transformations are made.
> What are dummy variables? Why are such variables created?
> Describe the weighting process. What are the reasons for weighting?
> What kinds of statistical adjustments are sometimes made to the data?
> How may a researcher be creative in interpreting a research brief and developing a research proposal?
> Describe the data integrity process. Why is this process needed?
> What are wearables? How could they be used in marketing research?
> What is passive data? Give some examples of types of passive data collection that can be carried out with mobile devices.
> What does ‘mobile first’ mean for research designs?
> What kind of research activity is SMS-based research appropriate for?
> What do we mean by ‘mobile devices’? Where does the boundary lie between mobile and non-mobile devices?
> Discuss the key challenges relating to accessing social media data for research.
> Why is analysing image data on social media important?
> What is an MROC? How does use of an MROC differ from passive approaches to research?
> What is gamification and how can gamification techniques be used to improve research?
> What are the components of a marketing research proposal?
> What is crowdsourcing? What are the advantages and disadvantages of this method?
> What is the difference between social media and social networks?
> What is sentiment analysis? Why can automated sentiment analysis of social media be so difficult?
> Describe the nature of social media research.
> How should the survey fieldworker conclude an interview?
> How should the answers to unstructured questions be recorded?
> Outline the advantages and disadvantages of the interviewer developing a rapport with participants.
> Evaluate what may be done to help interviewers probe correctly and consistently.
> Describe and illustrate the differences between probing in a survey and in an in-depth interview.
> What are the components of a marketing research brief?
> What are the guidelines for asking questions?
> What qualifications should survey fieldworkers possess?
> Describe the survey fieldwork/data-collection process.
> Comment on the following field situations, making recommendations for corrective action: a. One of the interviewers has an excessive rate of refusals in face-to-face home interviews. b. In a CATI situation, many phone numbers are giving a busy signal du
> Describe the criteria that should be used for evaluating survey fieldworkers.
> What is validation of survey fieldwork? How is this done?
> How can participant selection problems be controlled?
> What aspects are involved in the supervision of survey fieldworkers?
> Why do researchers need to use survey fieldworkers?
> Describe the procedure for determining the sample size necessary to estimate a population mean, given the degree of precision and confidence but where the population variance is unknown. After the sample is selected, how is the confidence interval genera
> What is the role of the researcher in the problem definition process?
> Describe the procedure for determining the sample size necessary to estimate a population mean, given the degree of precision and confidence and a known population variance. After the sample is selected, how is the confidence interval generated?
> How do the degree of confidence and the degree of precision differ?
> Describe the difference between absolute precision and relative precision when estimating a population mean.
> What strategies are available for adjusting for non-response?
> Define incidence rate and completion rate. How do these rates affect the determination of the final sample size?
> When several parameters are being estimated, what is the procedure for determining the sample size?
> Describe the procedure for determining the sample size necessary to estimate a population proportion given the degree of precision and confidence. After the sample is selected, how is the confidence interval generated?
> Define what is meant by absolute precision and relative precision when estimating a population proportion.
> Define: a. the sampling distribution b. finite population correction c. confidence intervals.
> What is the major difference between judgemental and convenience sampling? Give examples of where each of these techniques may be successfully applied.
> Why is it vital to define the marketing research problem correctly?
> What kinds of decisions are made by marketing managers? How does marketing research help in supporting these decisions?
> What is the least expensive and least time-consuming of all sampling techniques? What are the major limitations of this technique?
> How do probability sampling techniques differ from non-probability sampling techniques? What factors should be considered in choosing between probability and non-probability sampling?
> What qualitative factors should be considered in determining the sample size?
> To what extent may the availability of sampling frames determine the definition of a population?
> What is a sampling unit? How is it different from the population element?
> How should the target population be defined? How does this definition link with the definition of a marketing research problem?
> Describe the sampling design process.
> Describe the cluster sampling procedure. What is the key distinction between cluster sampling and stratified sampling?
> What are the differences between proportionate and disproportionate stratified sampling?
> Describe stratified sampling. What are the criteria for the selection of stratification variables?
> What is the role of theory in the development of a research approach?
> Describe the procedure for selecting a systematic random sample.
> What are the distinguishing features of simple random sampling?
> Describe snowball sampling. How may the technique be supported by qualitative research techniques?
> Under what conditions would a sample be preferable to a census? A census preferable to a sample?
> What are the advantages and disadvantages of unstructured questions?
> What can a researcher do to make the request for information seem legitimate?
> Explain the concepts of aided and unaided recall.
> Explain the errors of omission, telescoping and creation. What can be done to reduce such errors?
