Week
1: Course overview: Introduction
1-1. Bass 1972
1-2. Hunt1976
1-3. Marketing Analytics
1-4. Researching
Onion
1-5. What
should be included in your thesis proposal
Week
2: Research Design I: Design1
2-1. LogicalEmpirism_JM1983
2-2. MSI_RP18-20
2-3.崇越論文大賞_評審感言
2-4. Consumer Reading
2-5. Marketing Readings
Week
3: Research Design II: Design2
3-1. Chen_AMC-theory_SMJ2015
3-2. Competitive-Advantage_Syllogism
3-3. Fighting with Porter
3-4. Kotler_GenericConcept
3-5. Realism_Hunt_JM1990
Week
4: Causal Research Design: Causal
4-1. Bass_Empirical-Generalization
4-2. Bass_Wind1995
4-3. Field-dependence_SBP2016
4-4. POPPER_ObjectiveKnowledge2012
Week
5: Measurement & Scaling: Measurement
5-1. Poiesis-Geist
5-2. Coombs1950
5-3. Theory-of-Data_Coombs1964
5-4. Measurement2
Week
6: Questionnaire/Constructs Design: Questionnaire
6-1. Typology
6-2. MP3 Data Variables
6-3. Multivariate Statistics
Analysis
6-4. Solar Energy
Week
7: Sampling Design, Hypothesis testing: Sampling
7-1. CMR488C14_edited
7-2. Getting
Started with Statistics Concepts
7-3. Hunt_Discovery-Justification
Week
8: ANOVA & Regression: ANOVA_Regression
8-1. B2B-to-B2C
8-2. Cross-selling_BFJ2012
8-3.行銷科學學報2011_Compromise
Week
9: Discriminant & Logit Analysis: Discriminant_Logit
9-1. Health Science
9-2. CANDISC
9-3. SMJ2010_TangLiou
Week
10: Factor Analysis, matrix algebra: FA-SEM_Algebra
10-1. IBRC_Award_paper
10-2. Procurment2011
10-3. SAS_FactorAnalysis
10-4. matrix
Week
11: Cluster Analysis & Structural Equation: Cluster
11-1. Cluster_SAS
11-2. Distance_SAS
11-3 Aircon2007
11-4. Ad-SalesCausality_JM1990
11-5. Marketing Analytics
11-6. Theoretical
constructs for COMPUSTAT
Week
12:MDS and Conjoint Analysis: Conjoint_MDS
12-1. MDS_SAS
12-2. Multinomial-Logit SAS
Week
13: Bayesian Epistemology: Bayesian
Epistemology
13-1. CD-NOW2014
13-2. Fooled-by-Randomness_SMJ2011
13-3. Intra-Org-learning-SMJ2017
13-4. Market_imperfection
13-5. 機運與能力2016
13-6. Bayesian_統計前傳2
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