1. Read the following list of characteristics and think about their measurement level: a) Socioeconomic status (index from 1 to 10 calculated according to education and parents’ occupation) b) Verbal fluency (number of words beginning with letter F pronounced in 1 minute) c) Keyboard typing speed (mean number of keystrokes per 1 minute) d) Favourite food (answer to the question “What do you order most often in a restaurant?” e) Nationality f) Assertiveness (result of a 10-item self-report scale) g) Year of birth h) Religious belief i) Age j) Hand dominance k) Membership in a political party (answer to the question “Are you member of some political party?” l) Occupation m) School grades n) Ranking of tennis players o) Weight (as number shown on weighing-machine in kilograms) p) Education (measured as number of years of school attendance) q) Education (measured as the highest education level completed, e.g. primary, secondary, high school, college etc.) r) Sex 2. Which of the listed variables are measured on nominal scale? 3. Which of the listed variables are measured on interval, but not ratio scale? 4. Which of the listed variables are measured on ratio scale? 5. Which of the listed variables are measured on ordinal scale, but probably not on interval scale? 6. If all the subjects in your sample are of Czech nationality, what would happen with the variable nationality? Would it still be a variable? 7. Are there any dichotomous variables in the list? Which variables are polytomous? 8. Is it possible to transform the interval or ratio measurement level to ordinal level? 9. On which scale is “weight” measured? How would you transform it to ordinal level? 10. Which measurement level is necessary to say: “This value is 25% higher than the other value?” 11. Subjects in our study are measured on interval scale. On which scale are measured the differences between the individuals? 12. Is the variable “the number of books in library catalogue” discrete? On which level is this variable measured? 13. Below, you can see the results of an experiment which examined whether different teacher attitude in experimental and control group influences tests scores. However, the following table is not a data matrix. Rearrange data in a data matrix. 14. Below, you can see the data from a survey about what beverages people drink most often. A. Create a data matrix from following data: Question: Which of these beverages have you drunk in the last week? Woman 1 Woman 2 Woman 3 þ Sweet lemonades o Water þ Tea þ Sweet lemonades o Water o Tea o Sweet lemonades þ Water o Tea Man 1 Man 2 Man 3 þ Sweet lemonades þ Water o Tea o Sweet lemonades þ Water þ Tea þ Sweet lemonades þ Water þ Tea B. Question in the following data was stated a bit differently. Create a data matrix for these data. Question: Which of these beverages have you drunk most often in the last week? Woman 1 Man 2 Woman 3 ¤ Sweet lemonades ¡ Water ¡ Tea ¡ Sweet lemonades ¤ Water ¡ Tea ¡ Sweet lemonades ¤ Water ¡ Tea Man 1 Woman 2 Man 3 ¡ Sweet lemonades ¡ Water ¤ Tea ¤ Sweet lemonades ¤ Water ¡ Tea ¡ Sweet lemonades ¡ Water ¤ Tea C. The variables “drinking of sweet lemonades”, “drinking of water” and “drinking of tea” from the question 12.A are (check all that apply): a) nominal b) ordinal c) interval d) ratio e) continuous f) discrete g) cardinal h) categorical j) dichotomous D. The variable “the most often drunk beverage” from the question 12.B is (check all that apply): a) nominal b) ordinal c) interval d) ratio e) continuous f) discrete g) cardinal h) categorical j) dichotomous E. The variable “gender” from the questions 12.A and B is (check all that apply): a) nominal b) ordinal c) interval d) ratio e) continuous f) discrete g) cardinal h) categorical j) dichotomous