Chloë's Summary Shop

In the last statistics course of the ILS program at BUAS, I got familiar with the more advanced statistics. A broad overview over a range of correlational and experimental data analysis techniques was provided including an introduction into factor analysis, reliability, chi-square and binary logistic regression, ANOVA, ANCOVA, factorial ANOVA and ANOVA for repeated measures. All lectures and personal notes are summarized in this document.

During Research Methods 3 (bachelor course ILS - BUAS Breda) we dived more into the quantitative research methods and statistics for survey research. We got more knowledge about the questionnaire design and bivariate statistics. A lot of different analyses were covered including simple linear regression, multiple linear regression, dummy coding, moderation analysis, mediation analysis, reliability analysis and t-tests. Next to that the corresponding assumptions were discussed.

Research Methods 2 dives deeper into the qualitative side of research, including interviewing techniques, participant observation, positioning, sampling, ethnography. It is part of the ILS program of BUAS Breda.

Research Methods 1 is a first step into statistics at the ILS program at BUAS Breda. For this course, I made a summary of all the lectures including personal notes. It contains an introduction into quantitative and qualitative research, but continues mainly with quantitative statistics.

For the course Value-based Marketing I made an extended summary including all articles (see list), tutorial notes, and guest lecture. There were no regular lectures hence they are not included in the document. The summary helped me study for and pass the exam. Article list: Customer Value Propositions in Business Markets – Anderson, Narus & van Rossum (2006); Developing superior value propositions: a strategic marketing imperative - Payne & Frow (2014); Consumer segmentation within the sha...

For the course of Marketing Analytics at Maastricht University we made an Advisory Report for the Orange County Register including a logistic regression model with validation and classification trees (CRT and CHaID) with validation.

For the course of Marketing Analytics at Maastricht University, we had to write an advisory report for Verhouten (a chocolate company) in which we elaborated on building a statistical and dynamical model, competition, control variables as well as price elasticity.

For my course Service Management at Maastricht University I wrote an extended summary including all the articles (see list) and tutorial notes. Lectures are not included because there were none. The summary helped me study for and pass the exam. Article list: Berry, L. (2015). Revisiting big ideas in services marketing 30 years later; Vargo & Lusch (2016). Institutions and axioms: an extension and update of service-dominant logic; Rust & Huang (2014). The Service Revolution and the Transform...

This bundle includes an extended summary of the course including lectures, articles and tutorial notes, as well as two advisory reports we had to write for Verhouten and Orange County Register

I wrote this extended summary for my Marketing Analytics course at Maastricht University. It includes all lectures, articles (see list), and tutorial notes, which helped me to prepare for the open book exam. Article List: Koschmann & Bowman (2018). Evaluating marketplace synergies of ingredient brand alliances; Wedel & Kannan (2016). Marketing Analytics for Data-Rich Environments; Papies & van Heerde (2017). The dynamic interplay between recorded music and live concerts: the role of piracy, ...