research-methods-in-marketing-syllabus-mkt-450-–-0-sections-(編輯修改稿)
2025-08-20 14:39 本頁(yè)面
【文章內(nèi)容簡(jiǎn)介】 ll be used in this class. Students have three options to access this software: – 1) SPSS Version is included with the Marketing Research Essentials remended text, – 2) SPSS can be accessed in the Kellogg Computer Lab, or – 3) a 30 day free trial can be accessed on the SPSS web page Marketing Research Project Guidelines 1) Student teams are responsible for identifying the sponsor for their Marketing Research project. An ideal sponsor: 1) has an important marketing decision to make, 2) needs customer insight to decide between several decision alternatives, and 3) is willing to provide financial resources for purchase of a sample frame and for respondent incentives. 2) Students should review projects posted at 3) All munications and negotiations with the project sponsor will be with the student team, not with the Professor. 4) Student teams are responsible for designing and executing all phases of the project. Teams should avoid sponsors who have the project designed and want students to execute it for them. 5) Students who plan to collect data via the Inter can access from the KIS web page 6) Respondents to your survey are to remain anonymous. 7) While students are expected to calculate the required sample size for their project, it will sometimes be difficult to plete large numbers of interviews in the course of a 10 week quarter. Students should discuss this in their project critique. Fall 2022 Marketing Research Project Plan DATE and PHASE Written Assignment Due Professor Meeting F Sept 22 T Sept 26 PROJECT SPONSOR IDENTIFIED F Sept. 29 SPONSOR MEETINGS T Oct 3 SPONSOR DECISION IDENTIFIED F Oct 6 PROBLEM FORMULATION Thursday or Friday, Oct 5 or 6 T Oct 10 RESEARCH DESIGN F Oct 13 RESEARCH DESIGN Thursday or Friday, Oct 12 or 13 T Oct 17 SECONDARY RESEARCH F Oct 20 EXPLORATORY RESEARCH T Oct 24 SECONDARY and EXPLORATORY RESEARCH SUMMARY F Oct 27 Plan DATA COLLECTION and ANALYSIS T Oct 31 SAMPLE DESIGN DATA COLLECTION and ANALYSIS PLANS F Nov 3 QUESTIONNAIRE DESIGN and PRETEST T Nov 7
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