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Introduction to Statistics for Experimental Psychology with R

Chapter 2: Quiz

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Exercise 2.1 What does it mean if statistical assumptions are perfectly met?

  1. The results of the statistical analysis are true.
  2. The results of the statistical analysis are likely true.
  3. The evidence provided by the statistical analysis is stronger than if the assumptions were not met.

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Exercise 2.2 Which one of the following is NOT a good way of checking the quality of a measurement?

  1. Reliability
  2. Validity
  3. Operationalisation

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Exercise 2.3 What does it mean if a measure has low reliability?

  1. It means that reliability analysis has not been conducted
  2. It means that repeated applications under the same conditions lead to widely different outcomes
  3. It means that the level of noise in a measurement is low

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Exercise 2.4 Which one of the following is NOT a measure of reliability?

  1. Test-retest reliability
  2. Inter-rater reliability
  3. Split-half reliability
  4. Criterion reliability

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Exercise 2.5 Which one of these is NOT a synonym for a dependent variable?

  1. Result variable
  2. Outcome variable
  3. Response variable
  4. Criterion

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Exercise 2.6 Why is randomisation important in experimental studies?

  1. It allows researchers to theoretically rule out confounders as cause for the effect observed in the dependent variable
  2. It allows researchers to run statistical analysis
  3. It allows researchers to correctly choose dependent and independent variables

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Exercise 2.7 What is true about numbers? 1. Numbers can represent categorical information 2. Numbers can only represent numerical information 3. If we apply a mathematical operation to numbers, we can interpret the results independent of the meaning of the numbers

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Exercise 2.8 Which one of these is NOT a type of a variable in a research design? 1. Dependent variable 2. Epistemic variable 3. Control variable

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Exercise 2.9 What does it mean if the data is presented in a wide format? 1. The data of one participant only spans a single row 2. The data of one participant spans multiple rows 3. There is one row per observation

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Exercise 2.10 What does it mean if a variable represents ‘continuous numerical information’? 1. A variable can in principle take on any real-valued (i.e., decimal) number 2. A certain difference or interval has the same meaning anywhere on the scale 3. Both answers are correct

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