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This video introduces the concept of matching participants. Sometimes random assignment is impossible, which increases the selection threat to internal validity. One way to mitigate this threat is to…
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English - en Department
FMG
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In this video Matthijs answers the following questions using an example of two variables: 1. Is there a linear relationship? 2. What is the Pearson's r? 3. What is the regression equation and…
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English - en Department
FMG
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This video explains why you have to be very careful interpreting the results of a regression analysis. Matthijs explains two key messages: that correlation is not the same as causation (e.g. with…
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English - en Department
FMG
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In this video Matthijs explains you how to assess how well the regression line fits the data using R-squared. R-squared tells you how much better a regression line predicts the value of a dependent…
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English - en Department
FMG
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This video shows how you can describe a regression line with a regression equation. Matthijs explains the different parts of the regression equation: predicted value of y, intercept, regression…
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English - en Department
FMG
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In this video you learn how to find the regression line. This is important, because it is the basis for many statistical analyses. Matthijs explains the calculation of residuals and drawing the line…
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English - en Department
FMG
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This video discusses four very common experimental designs: two-group design, two-group pre/post design, Solomon four-group design and within/repeated measures design.
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English - en Department
FMG
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This video looks at the population regression equation. You see how it models the relation between predictor and response variable in the population.
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English - en Department
FMG
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In this video we discuss the link between analysis of variance and multiple regression. In fact, multiple regression and analysis of variance are technically the same. To illustrate this we perform a…
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English - en Department
FMG
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In this video we will go through all the steps of performing a regression analysis, from checking assumptions to interpreting results. We will also compare the different regression models we…
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English - en Department
FMG
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In this video you learn how you can use quantitative predictors and indicator variables to predict a binary response variable, using multiple logistic regression.
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English - en Department
FMG
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In this video you learn how to include categorical predictors called indicators, and how to interpret them in multiple linear regression.
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English - en Department
FMG
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In this video you learn how to check whether the assumptions of multiple linear regression hold. The assumptions discussed here are: linearity, normality, homoscedasticity, independence, sufficient…
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English - en Department
FMG
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In this video you learn how to perform individual T-tests to see for each predictor separately whether it's significantly related to the response variable, while controlling for the other…
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English - en Department
FMG
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In this video you learn how to test whether the predictors together as a set are significantly related to the response variable. This test is referred to as the overall F-test of a multiple…
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English - en Department
FMG
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In this video you learn about the multiple correlation coefficient used to assess the strength of association between a response variable and a set of predictors. You also learn about the properties…
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English - en Department
FMG
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