PSY105 Statistics in Psychology

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Course Code Course Title Weekly Hours* ECTS Weekly Class Schedule
T P
PSY105 Statistics in Psychology 3 2 6 Tuesday 11:00-13:00, Thursday 10:00-11:00
Prerequisite It is a prerequisite to
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Course Objectives Statistics in psychology provides an introduction to descriptive and inferential statistics, with the purpose of preparing students for performing and consuming quantitative research. After successful completion of the course student will be able to: Demonstrate basic statistical literacy. Recognise different types of variables and generate appropriate scales for their measurement. Perform basic inferential statistics methods and tests. Distinguish and choose inferential testing methods appropriate to real life situations related to their scient. interestests. Interpret outputs from statistical software packages.
Textbook Statistic without Maths for Psychology, CHRISTINE DANCEY, JOHN REIDY, 7th Edition, Harlow, Pearson, 2017.
Learning Outcomes After successful  completion of the course, the student will be able to:
  1. Demonstrate basic statistical literacy.
  2. Recognise different types of variables and generate appropriate scales for their measurement.
  3. Perform basic inferential statistics methods and tests.
  4. Distinguish and choose inferential testing methods appropriate to real life situations related to their scient. interestests.
  5. Interpret outputs from statistical software packages.
Teaching Methods Class discussions with examples. Group workouts for engaged learning and continuous feedback on progress. Individual and grouped discussions. Visual and written materials will be supplied.
WEEK TOPIC REFERENCE
Week 1 Introduction, syllabus presentation, course presentation
Week 2 Variables and research design Chapter 1
Week 3 Inroduction to SPSS Chapter 2
Week 4 Descriptive statistics: Measures of central tendency Chapter 3 (3.1 - 3.6)
Week 5 Descriptive statistics: Measures of spread Chapter 3 (3.7 - 3.11)
Week 6 Probability sampling and distributions Chapter 4 (4.1 - 4.4)
Week 7 Confidence interval Chapter 4 (4.5 - 4.8)
Week 8 Hypothesis testing Chapter 5
Week 9 T-test Chapter 7
Week 10 Measures of association Chapter 9
Week 11 ANOVA Chapter 11
Week 12 Correlation: Pearson's r Chapter 6
Week 13 Regression Chapter 12
Week 14 Manova Chapter 15
Week 15 Non-parametric statistics Chapter 16
Assessment Methods and Criteria Evaluation Tool Quantity Weight Alignment with LOs
Final Exam 1 40 all
Semester Evaluation Compenents
Project 1 20 all
Quiz-1 1 10 1,2,5
Quiz-2 Midterm 1 10 1,2,3,5
Homework and class tutorials 1 20 1,2,3,5
***     ECTS Credit Calculation     ***
 Activity Hours Weeks Student Workload Hours Activity Hours Weeks Student Workload Hours
Lecture Hours 3 14 42 Interm Exams 4 7 28
Home Study 2 8 16 Final Exam 8 8 64
        Total Workload Hours = 150
*T= Teaching, P= Practice ECTS Credit = 6
Course Academic Quality Assurance: Semester Student Survey Last Update Date: 29/09/2020
QR Code for https://ecampus.ius.edu.ba/syllabus/psy105-statistics-psychology

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