Methodology In Marketing And Strategic Management Research (MANMMA032A)
Institution
Radboud Universiteit Nijmegen (RU)
Book
Multivariate Data Analysis
- Author scored a 10 on the exam - A total overview of all obligatory topics for MMSR; based on the key glossary terms of the chapters from Hair and the video clips, I have made an overview per topic. Every topic has some theoretical background listed, whereafter the analysis process is depicted. F...
Summary of Methodology in Marketing & Strategy Research (MMSR)
Complete uitwerking colleges/videos Methodology Marketing & Strategic Management Research (MMSR
Summary Advanced Research Methods Part B
All for this textbook (4)
Written for
Radboud Universiteit Nijmegen (RU)
Master Business Administration
Methodology In Marketing And Strategic Management Research (MANMMA032A)
All documents for this subject (4)
5
reviews
By: sophieclaesen1803 • 11 months ago
By: anouk108335 • 3 year ago
By: vaymelis • 3 year ago
Translated by Google
Hi Anouk,
May I ask what the reason behind your review is?
Greetings!
By: hoferpedro • 4 year ago
By: polobarcelo • 4 year ago
By: xaranikolaou • 4 year ago
Very useful as a revision guide. Includes all important information from the MMSM class.
Seller
Follow
vaymelis
Reviews received
Content preview
MMSR
Inhoud
Overview of multivariate methods.........................................................................................................2
Examining your data...............................................................................................................................3
Rules...................................................................................................................................................3
Figures................................................................................................................................................4
Exploratory and confirmatory factor analysis.........................................................................................6
Rules...................................................................................................................................................7
Figures................................................................................................................................................8
(M)AN(C)OVA.......................................................................................................................................11
Rules.................................................................................................................................................12
Figures..............................................................................................................................................13
Multiple and logistic regression analysis..............................................................................................17
Rules.................................................................................................................................................18
Figures..............................................................................................................................................19
Partial Least Squares Structural Equation Modeling (PLS-SEM)............................................................23
Rules.................................................................................................................................................24
Figures..............................................................................................................................................24
,Overview of multivariate methods
Multivariate analysis = any simultaneous analysis of more than two variables.
,Examining your data
Imputation method = process of estimating the missing data of an observation based on valid values
of the other variables. Possibilities:
Cold-deck imputation: from data outside your database
EM: maximum likelihood (MAR)
Hot deck imputation: from existing observation deemed similar
Mean substitution: substituting by means
Multiple imputation: MAR
Regression imputation: calculating it based on regression models
In case you are not going to replace the data with values, two options are possible:
Complete case approach: handling missing data based on complete cases, cases with no
missing data. Also known as the listwise deletion approach.
All-available approach: handling missing data based on all available data, also known as
pairwise approach.
Positive kurtosis means a steep line, negatively kurtosis is a flatter line. Positively skewed is many
observations on the left, negatively skewed is many observations on the right. The threshold values
for kurtosis and skewness are -3 to 3 (without dividing it by the standard error!).
Always consider both the practical and substantive impact of your missing data.
Rules
How much missing data is too much?
o Over 10%
o Under 10% is acceptable, but assess the MAR/MCAR
When is a value an outlier?
o For small samples a standard score of 2.5
o For large samples a standard score of 4
o If standard scores are not given, use the threshold values with standard deviations
Normality
o Above 200 sample size, normality is often okay
o Skewness and kurtosis values between -3 and 3.
, Figures
The benefits of buying summaries with Stuvia:
Guaranteed quality through customer reviews
Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.
Quick and easy check-out
You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.
Focus on what matters
Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!
Frequently asked questions
What do I get when I buy this document?
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
Satisfaction guarantee: how does it work?
Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.
Who am I buying these notes from?
Stuvia is a marketplace, so you are not buying this document from us, but from seller vaymelis. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy these notes for $6.28. You're not tied to anything after your purchase.
