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Psychometrics dott. Andrea Greco andrea.greco@unibg.it Office - PowerPoint PPT Presentation

Psychometrics dott. Andrea Greco andrea.greco@unibg.it Office hours (for students): Wednesday, 15-17 Schedule of lessons Course program - 1 Prerequisites : Basic knowledge of statistics (descriptive statistics, probability distributions).


  1. Psychometrics dott. Andrea Greco andrea.greco@unibg.it Office hours (for students): Wednesday, 15-17

  2. Schedule of lessons

  3. Course program - 1 • Prerequisites : Basic knowledge of statistics (descriptive statistics, probability distributions). • Educational goals : The students will gain the theoretical and methodological knowledge that is required: and methodological knowledge that is required: (1) to identify the right statistical test for answering different research questions, (2) to compute the test, (3) to interpret the results. The students will be presented with several examples from different fields of Psychology.

  4. Course program - 2 • Hypothesis testing and effect size in one-sample experiments. • Hypothesis testing, effect size, confidence intervals, post-hocs and contrasts in single factor experiments and two-way factorial experiments. • Course text: • Course text: Slides Keppel, G., & Wickens, T. D. (2004). Design and Analysis. A researcher’s handbook (Fourth Edition). Pearson Prentice Hall: Upper Saddle River, New Jersey. The textbook is not mandatory. The slides are enough to prepare students for the exam.

  5. Course program - 3 • The exam is written and consists of multiple choice and open response questions covering the entire programme. The questions pertain to the knowledge of theoretical aspects and to the solution of statistical problems. There is no penalty for incorrect answers. The results will be communicated to students via institutional email through the University information system. through the University information system. • The students are encouraged to actively participate during lessons and to do the exercises. • All the students (and especially the non-attending students) are strongly encouraged to contact the lecturer during office hours to discuss the theoretical and practical concepts that are not clear, as well as to solve the exercises.

  6. Exams date • 2018/06/06 h 10-13 • 2018/06/28 h 10-13 • 2018/07/17 h 14-17 • 2018/09/12 h 10-13 • 2018/09/25 h 14-17 • Pre-esam: 2018/05/24 h 11-13

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