•  Each team selects an applied case study (to be approved by the lecturer after a proposal) as cases for the methods discussed in class.
•  The empirical methods have to include statistical tests and multiple regression analyses.
•  Approx. 5-10 minutes per student ~> max 30 minutes per team (including the discussion)

Please PREPARE:
- Watch Videos 1 and 2 (leaving out the teamwork and presentations of the teams)
You find all QM videos on the Aulis-page)

General Introduction (Welcome.ppt)
(the research process)

-> Why Research Methods?

Part I: Introduction to Business Research
1. Research in Business
3. Thinking Like a Researcher  
     - Types of variables (reader pp. 3-5)
11. Measurement
       -> Skales of variables (reader pp. 10-12)
12. Measurement Scales

-> analyzing data

Preparing Data:
Basic data management in Excel:
descriptive statistics, tables

Koop: "Analysis of Economic Data"
Overview/Review chapters (1) to ...

(3) (correlation) (reader pp. 35 ff)

Correlation and regression analysis
in Excel: XL_Exercises_Corr_Reg.xls
please download, we'll use it today in class
(spoiler-alert: here you find the solutions)

(4) An introduction to simple regression
(+ preview multiple regression) (reader pp. 39 ff)

- Course Material (reader)
- Statistics-QuickStudy Guide

- Our Memo about the case study: visitors' survey in a museum:
+ Questionnaire + Dataset (Excel)

Videos: data handling & analysis in Excel in my YouTube channel
 (in German: Statistikschritte: Overview webpage and on YouTube)

Correlations and Causes: (source: http://en.wikipedia.org/wiki/Correlation_does_not_imply_causation)
- The more firemen fighting a fire, the bigger the fire is observed to be.   =>   Therefore firemen cause fire.
- Sleeping with one's shoes on is strongly correlated with waking up with a headache.   =>  Therefore, sleeping with one's shoes on causes headache.
- As ice cream sales increase, the rate of drowning deaths increases sharply.    =>   Therefore, ice cream causes drowning.
- With a decrease in the number of pirates, there has been an increase in global warming over the same period. => Therefore, global warming is caused by a lack of pirates.

Please PREPARE:
     (to be announced)

3. The Research Process 

Statistical Inference: Population and sample
chap. 15. Determining Sample Size
               Confidence level and Normal curve

chap. 18. Hypothesis Testing

Teams present proposals for the final presentations!
brief ppt, no specific formal requirements but it should cover:
- Topic (Motivation)
- Research Question(s)
- Your "model"
- Data you want to use (check availability)
                                       -> please upload before class!

---- " ----

       (5) Statistical Aspects of Regression (reader pp. 46 ff)
(6) Multiple Regression (scanned versions of chap 5 and 6 in Aulis) (reader pp. 50 ff)

Causality, Specifications and Applications
with case study "Explaining House Prices"

XL-files by Koop (zip), we are going to use (some of) them in class. Today we will use especially HPrice.xls

(7) Regression with dummy variables
with case study "Explaining House Prices" and "Firm Foundations in Bremen"

Please download the XL-files by Koop (zip), we are going to use (some of) them in class. Today we will use especially: Forest.xls and HPrice.xls

- College Town: students' results for simple linear analysis (see tasks in the table below) -> Material/resmeth/CollegeTownQuestion.doc, College_Town.xls

- Hedonic regression for used cars
We analyse cars like VW Polo, Opel Corsa, Skoda Fabia, Ford Fiesta
-> HedonicCars.xls ++ data

Sample application: Firm Foundations in Bremen:
- Paper and Presentation in German
- Presentation (short version in English)
- Data in Excel format
- SPSS data file, label_en.sps, Reg_Abs_All_en.sps, Reg_Intensi_All_en.sps and an example output

Central Limit Theorem (empty sheet used in class)

              Teams' presentations

The presentation time should be approx. 5-10 minutes per student ~> max 30 minutes per team.
You are expected to deliver a handout for students. (The handout has to be a structured (Word-) file. I recommend to use the same numbered structure as in the presentation).

You are expected to tell a story about your topic:
- why did you select the topic?
- what did you know / find (literature) about it before?
- develop a research question and hypotheses
- introduce and describe you data
- analyze them using descriptive tools (e.g. graphs, tables, correlation, simple regression ...)
- run, present and discuss different specifications of multiple regressions
- what did we learn?

It is expected that you initiate and moderate a discussion about the topic and your findings. So it is strongly recommended that you prepare a discussion question/s. The discussion time doesn't count into the presentation time.

Thank you for uploading the presentations & handouts in Aulis up to 3 p.m.!

Please note the:
- the marking grid that I will use to grade your presentations
- and my "Recommendations for QM presentations.docx"

Here you find a best practice example of a presentation

Don't forget to use - and quote correctly - academic literature, especially articles from academic journals.

To be found in a library database (for example Selected Resources - Faculty 1: International Business at TB Economics and Nautical Sciences at SUUB Bremen).
Recommended database: EconBiz
Recommended literature management tool: ZOTERO
For more information about finding and managing literature see below

Some example papers:
1) The Value of Safety as Revealed in the Swedish Car Market - An Application of the Hedonic Pricing Approach
2) A hedonic analysis of American collectable comic-book prices
3) Cinema Demand in Germany
4) Did you follow the debate about "The 90% question": relationship between debt and growth, see e.g. a report in the Economist or "The Reinhart-Rogoff Reassessment in the Media"?
- The original paper by Reinhart and Rogoff
- The (reply) paper by Herndon, Ash and Pollin, who on their webpage also provide a link to the dataset they used. Why not try it ... ??

Using SPSS
Review of (4) An introduction to simple regression and (5) Statistical Aspects of Regression (some aspects)
-> free ebook: "SPSS: Stats Practically Short and Simple" by Sidney Tyrrell
additional information: if you want (=you don't have to!) you can download a trial version of the statistical program SPSS that we are going to use in class -> product demos

Review and conclusion + YOUR questions