Social Research Methods

#24 The Psychology of Writing a Thesis

Writing a thesis is often a challenging and complex enterprise. This episode helps you to understand what will go on inside you and between you and your supervisor. All

#23 Academic Writing

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 wit

#22 Multidimensional Scaling

Multidimensional scaling is a statistical procedure to translate distances and dissimilarities into a visual representation. In social science it is used to visualize soc

#21 Multiple Regression Analysis

We use multiple regression analysis to determine the relation between many (multiple) independent variables and one single dependent variable. All slides to the entire s

#20 Factor Analysis

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 ana

#19 Variance Analysis

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.

#18 Hypothesis Testing

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 alt

#16 Estimating Mean and Standard Deviation of Population

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 estima

#17 Z 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.

#15 Bivariate 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

#14 Descriptive Statistics

Descriptive statistics involves methods, that describe the central tendency and dispersion of data. In most practical cases they relate to single (univariate) variables.

#13 Nominal, Ordinal, Interval and Ratio Data

Data can vary in their nature. We differentiate between different levels. They could be either nominal, ordinal, interval or on ratio level. This really matters with rega

#12 Sampling

You always run your study based on a subset of the entire population, you intent to generalize on. External validity refers to the extent to which you really could do so.

#11 Research Design (Part 2)

Good research designs lead to a high internal validity. A study is internally valid when you really can assume the independent variable effects the dependent variable. Of

#10 Research Design (Part 1)

Research design relates to the architecture of your study. One major aspect is, whether you manipulate or just measure the independent variable. All slides to the entire

#09 Systematic Observation & Content Analysis

In systematic observation you observe people. Very often the subjects are not aware of the fact that they are being observed. Content analysis is about the consideration

#08 Survey Design (Part 2)

Responding to questions is a complex process in psychological terms. Once you understand how people respond to questions you’ll see what to consider when creating questio

#07 Survey Design (Part 1)

Creating a good survey is difficult. There is a clear roadmap on how you’d better do it. It involves various steps like defining the scope and related criteria. One essen

#06 Validity, Reliability & Objectivity

There are three criteria, which tell you something about the quality of your measurement. They are validity, reliability and objectivity. When estimating these criteria,

#05 Testing

In social science we often test variables. Think for instance of intelligence, personality and others. Testing is based on the classical test theory. All slides to the e