Rank #1: #23 Academic Writing
Reporting your study
Writing an academic report or article mainly follows a specific structure, format and style since academic papers differ from all other media most people are familiar with (e.g. news-paper article)
Writing an academic report or article mainly follows a specific structure, format and style since academic papers differ from all other media most people are familiar with (e.g. news-paper article)
Dec 20 2020
24mins
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Rank #2: #22 Multidimensional Scaling
Turning distances into a map
Multidimensional scaling is a statistical procedure to translate distances and dissimilarities into a visual representation. In social science it is used to visualize social relations among people and groups
Multidimensional scaling is a statistical procedure to translate distances and dissimilarities into a visual representation. In social science it is used to visualize social relations among people and groups
Dec 02 2020
15mins
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Rank #3: #21 Multiple Regression Analysis
Many independent and one dependent variable
We use multiple regression analysis to determine the relation between many (multiple) independent variables and one single dependent variable
We use multiple regression analysis to determine the relation between many (multiple) independent variables and one single dependent variable
Dec 02 2020
13mins
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Rank #4: #20 Factor Analysis
Reducing complexity
Factor analysis reduces complexity of data by extracting a few factors. It delivers underlying coordinates in an otherwise complicated set of variables. We use factor analysis for instance to understand the basic independent dimensions of personality
Factor analysis reduces complexity of data by extracting a few factors. It delivers underlying coordinates in an otherwise complicated set of variables. We use factor analysis for instance to understand the basic independent dimensions of personality
Dec 02 2020
24mins
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Most Popular Podcasts
Rank #5: #19 Variance Analysis
Comparing variance within and between groups
We use variance analysis (ANOVA) to compare variance within and between groups. It is a method to test hypothesis that is in particular suitable for experimental designs. Once there are more than one independent variables we name this MANOVA
We use variance analysis (ANOVA) to compare variance within and between groups. It is a method to test hypothesis that is in particular suitable for experimental designs. Once there are more than one independent variables we name this MANOVA
Dec 01 2020
28mins
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Rank #6: #18 Hypothesis Testing
Rejecting Null Hypothesis or not
In social science we estimate the probability of the null hypothesis being wrong even though it might be true. Should we reject or accept the null hypothesis over the alternative hypothesis? This is an essential idea in inferential statistics
In social science we estimate the probability of the null hypothesis being wrong even though it might be true. Should we reject or accept the null hypothesis over the alternative hypothesis? This is an essential idea in inferential statistics
Dec 01 2020
18mins
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Rank #7: #16 Estimating Mean and Standard Deviation of Population
Statistics is about estimation
While we know the mean and standard deviation of our sample we don’t know the real ones. That’s why we estimate. There is a reason, why using n-1 instead of N when estimating standard deviation of the population based on a sample.
While we know the mean and standard deviation of our sample we don’t know the real ones. That’s why we estimate. There is a reason, why using n-1 instead of N when estimating standard deviation of the population based on a sample.
Dec 01 2020
18mins
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Rank #8: #17 Z Distribution
Standardization of values and distribution
With z transformation you can transform any kind of variable into a variable that has a mean of 0 and a standard deviation of 1. By doing so, variables become comparable. It’s an essential idea when it comes to inferential statistics.
With z transformation you can transform any kind of variable into a variable that has a mean of 0 and a standard deviation of 1. By doing so, variables become comparable. It’s an essential idea when it comes to inferential statistics.
Dec 01 2020
10mins
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Rank #9: #15 Bivariate Statistics
Analysing relations
Bivariate statistics help to understand the statistical relation between the independent and the dependent variable. Once you test a hypothesis you always need this kind of statistics.
Bivariate statistics help to understand the statistical relation between the independent and the dependent variable. Once you test a hypothesis you always need this kind of statistics.
Oct 26 2020
23mins
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Rank #10: #14 Descriptive Statistics
Statistics for just one Variable
Descriptive statistics involves methods, that describe the central tendency and dispersion of data. In most practical cases they relate to single (univariate) variables.
Descriptive statistics involves methods, that describe the central tendency and dispersion of data. In most practical cases they relate to single (univariate) variables.
Oct 26 2020
33mins
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