Summary
Summary Management Research Methods 1 (grade 8,5!)
- Course
- Institution
Total summary of management research methods 1.
[Show more]
Seller
Follow
Ninavdtop
Reviews received
Content preview
SUMMARY MRM1Week 1
1. Data
Unit = what/who you are measuring
Variable = how you are measuring
Example: Unit = student, variable = grade and group
Levels of measurement:
1. Categorical
a) Binary variable = 2 outcomes (dead or alive, yes or no).
b) Ordinal variable = with ranking “order” (good, better, best).
c) Nominal variable = a lot of options, with no order (blood type, eye color, zip code).
2. Numerical
a) Discrete data = always a whole number (amount of children, age, number of
employees).
b) Continuous data = can have any number (height, weight, temperature, length).
Numerical data contain more information than categorical data. As a result, you need larger
samples for categorical data with less information.
Measurement errors:
- Systematic measurement error (bias) = a consistent or proportional difference
between the observed and true values of something. Difference between the
average measurement result and the true value.
- Random measurement error = (more of a concern) you can’t correct it because
you don’t know where it’s wrong. Unsystematic deviations due to imprecision of
the measurement syste
,2. Data Analysis
Location
- Median = middle number in ordered data
- Mean = average
- Mode = most frequent score
Dispersion
- Range = max – min. (! Very sensitive to outliers)
- Interquartile range = upper – lower quartile (Q3 – Q1) = range of middle 50% of data
- Variance = (alles – gemiddelde)2 + elkaar / aantal getallen – 1
= De mate waarin de waarden onderling verschillen. Hoe groter de variantie, hoe
meer de afzonderlijke waarden onderling verschillen, en dus ook hoe meer de
waarden van het “gemiddelde afwijken”
- Standarddeviation = √ variance
= How far approximately away from the average.
Skewness
Positive skewness your mean is higher than the median.
Negative skewness your mean is lower than your median.
, Bimodal = 2 models
Multimodal = having several models
3. Plotting Data
Categorical data:
- Bar chart (best way!)
- Pie chart
Numerical data:
- Histogram
- Boxplot
Two categorical variables:
- Multiple bars
Two numerical variables:
- Scatterplot
One numerical and one categorical variable:
- Boxplot
Scatterplot going up = positive relation, going down = negative relation. Random = no
relation.
Positive relation:
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 Ninavdtop. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy these notes for $9.39. You're not tied to anything after your purchase.
Can Stuvia be trusted?
4.6 stars on Google & Trustpilot (+1000 reviews)
85169 documents were sold in the last 30 days
Founded in 2010, the go-to place to buy study notes for 14 years now