Uploaded April 2024 | Updated September 2026, 7 minutes ago
In this video, we're going to explore the four levels of measurement —Nominal, Ordinal, Interval, and Ratio. Each level gives us important information about the variable and supports different types of statistical analysis.
► Statistics Calculator
numiqo.com/statistics-calculator/descriptive-statistics
► EBOOK
numiqo.com/statistics-book
► Tutorial
numiqo.com/tutorial/level-of-measurement
0:00 What are Levels of Measurement?
2:37 What are nominal variables?
3:59 What are ordinal variables?
5:00 What are metric variables?
5:38 Example of nominal, ordinal and metric data.
7:47 What is the difference between interval and ratio data
10:16 Exercise on Levels of Measurement
In this video, we're going to explore the four levels of measurement —Nominal, Ordinal, Interval, and Ratio. Each level gives us important information about the variable and supports different types of statistical analysis.
► Statistics Calculator
numiqo.com/statistics-calculator/descriptive-statistics
► EBOOK
numiqo.com/statistics-book
► Tutorial
numiqo.com/tutorial/level-of-measurement
0:00 What are Levels of Measurement?
2:37 What are nominal variables?
3:59 What are ordinal variables?
5:00 What are metric variables?
5:38 Example of nominal, ordinal and metric data.
7:47 What is the difference between interval and ratio data
10:16 Exercise on Levels of Measurement
![Hierarchical Cluster Analysis [Simply explained]](https://i.ytimg.com/vi/8QCBl-xdeZI/mqdefault.jpg "Hierarchical Cluster Analysis [Simply explained]
What is Hierarchical Cluster Analysis? And how is it calculated?
A hierarchical cluster analysis is a clustering method that creates a hierarchical tree of objects to be clustered (Dendrogram). The tree represents the relationships between the objects and shows how the objects are clustered at different levels.
► Load sample data set
https://numiqo.com/statistics-calculator/cluster/hierarchical-cluster-analysis-calculator?example=hierarchical_cluster_analysis
► Online Calculator Hierarchical Cluster Analysis
https://numiqo.com/statistics-calculator/cluster/hierarchical-cluster-analysis-calculator
► Hierarchical Cluster Analysis Tutorial
https://numiqo.com/tutorial/hierarchical-cluster-analysis
► E-BOOK
https://numiqo.com/statistics-book
00:00 What is Hierarchical Cluster Analysis?
00:31 Example of Hierarchical Cluster Analysis
00:50 Calculate hierarchical cluster analysis
06:32 Calculate hierarchical cluster analysis online")
![Two Factor ANOVA [without repeated measures]](https://i.ytimg.com/vi/8uUKkL7qgFk/mqdefault.jpg "Two Factor ANOVA [without repeated measures]
This video is about two-factor analysis of variance without repeated measures (2-Way-ANOVA). We discuss what you need two-factorial analysis of variance for and what the difference is between one-factor and two-factor.
Then well go over the hypotheses and the assumption. After that, Ill show you how to calculate the two-factor analysis of variance online with DATAtab, how to interpret the results, and we will discuss what the interaction effects are. Finally, well go over the formulas so you can better understand what happens in two-factor analysis of variance.
Statistics Calculator:
https://numiqo.com/statistics-calculator/hypothesis-test/anova
Calculate the example directly with DATAtab for free, just click the link:
https://numiqo.com/statistics-calculator/hypothesis-test/anova?example=two_factorial_anova
Tutorial:
https://numiqo.com/tutorial/two-factorial-anova-without-repeated-measures")
![Fragetypen im Fragebogen [Fragebogen leichtgemacht]](https://i.ytimg.com/vi/9diXUjG437o/mqdefault.jpg "Fragetypen im Fragebogen [Fragebogen leichtgemacht]
Welche Fragetypen gibt es in einem online Fragebogen? In diesem Video geht es um die wichtigsten Fragetypen, die du in deinem Fragebogen verwenden kannst. Wir besprechen jeweils, worauf du bei den Fragetypen achten musst und wie du sie auswertest.
Beginnen wir mit einem kurzen Überblick. Was sind die wichtigsten Fragetypen bzw. auf welche gehen wir ein? Da gibt es die offenen Fragen, Fragen mit einer Einfachantwort, Fragen mit Mehrfachantwort, Fragen mit Einfachantwort in Tabellen- bzw. Matrixform, Fragen mit Mehrfachantworten in Tabellenform und das semantische Differential.
Dieses Video hilft dir beim sauberen wissenschaftlichen Arbeiten und der empirischen Forschung.
Hier geht es zum Online-Umfragetool:
https://numiqo.com/survey/
Und zum Buch Fragebogen leichtgemacht
https://numiqo.com/statistik-buch#fragebogen-leichtgemacht
Videos Zum Thema Fragebogenkonstruktion:
1) Aufbau eines Fragebogens
https://youtu.be/7Vd_5ssg66k
2) Fragetypen im Fragebogen
https://youtu.be/9diXUjG437o
3) Likert-Skala
https://youtu.be/2d7rgIiTvvQ
4) Online-Fragebogen erstellen mit DATAtab
https://youtu.be/OPLWB3ONyh4")
![Normality test [Simply Explained]](https://i.ytimg.com/vi/AVketBmpUTE/mqdefault.jpg "Normality test [Simply Explained]
One of the most common requirements for statistical test procedures is that the data used must be normally distributed. For example, if a t-test or an ANOVA is to be calculated, it must first be tested whether the data or variables are normally distributed. This is done with a test of normality.
If the normal distribution of the data is not given, the above procedures cannot be used and the non-parametric tests, which do not require normal distribution of the data, must be used.
How do I test normal distribution?
Normal distribution can be tested either analytically or graphically. The most common analytical tests to check data for normal distribution are the:
1) Kolmogorov-Smirnov Test
2) Shapiro-Wilk Test
3) Anderson-Darling Test
For the graphical test either a histogram or the Q-Q plot is used. Q-Q stands for Quantile Quantile Plot, it compares the actual observed distribution and the expected theoretical distribution.
Normality test
https://numiqo.com/tutorial/test-of-normality
Statistics Calculator:
https://numiqo.com/statistics-calculator/descriptive-statistics")
