Course Identification

Quantitative Methods in Educational Research
20195093

Lecturers and Teaching Assistants

Prof. David Fortus
N/A

Course Schedule and Location

2019
Full Year
Monday, 12:30 - 14:00, Musher, Meeting Rm
05/11/2018

Field of Study, Course Type and Credit Points

Science Teaching: Lecture; Obligatory; 2.00 points

Comments

Once every two weeks.

All assignments, including the mid-term test, are to be done at home, in groups of three or less. Each group of students should turn in a single copy of the group homework or mid-term test with all names listed; all group members will receive the same grade. The final exam is individual. You can use books, calculators or computers. The homework will contain tasks and questions that will require you to use a statistical computer program. All assignments must be submitted electronically by the beginning of class, two weeks after they were distributed.

Prerequisites

Introduction to the Methodology of Science Education Research.

Restrictions

20

Language of Instruction

Hebrew

Attendance and participation

Required in at least 80% of the lectures

Grade Type

Numerical (out of 100)

Grade Breakdown (in %)

45%
20%
35%

Evaluation Type

Final assignment

Scheduled date 1

08/07/2019
N/A
-
בחינת בית - תינתן ב-3.6 -להגשה
עד 8.7.

Estimated Weekly Independent Workload (in hours)

6

Syllabus

  • Introduction: Collecting Data - Slide Show #1 Homework #1
  • Graphical & Numerical Descriptive Statistics - Slide Show #2
  • Graphical & Numerical Descriptive Statistics - Slide Show #2 Homework #2
  • Probability & Probability Distribution - Slide Show #3
  • Parameter Estimation - Slide Show #4
  • Parameter Estimation & Hypothesis Testing - Slide Show #4
  • Hypothesis Testing - Slide Show #4 Homework #3
  • t-tests & Different Types of Errors - Slide Show #5
  • t-tests & Different Types of Errors - Slide Show #5 Homework #4
  • Comparing 2 Population Means - Slide Show #6
  • Comparing 2 Population Means - Slide Show #6
  • Comparing 2 Population Means - Practice Session Homework #5
  • Comparing variances - Slide Show #7
  • Comparing variances - Slide Show #7 Homework #6
  • Comparing more than 2 Populations: ANOVA - Slide Show #8
  • Comparing more than 2 Populations: ANOVA - Slide Show #8 Homework #7
  • Categorical Data: Chi-square tests - Presentation #9
  • Categorical Data: Chi-square tests - Presentation #9 Homework #8
  • Correlation & Regression - Presentation #10
  • Correlation & Regression - Presentation #10 Homework #9

Learning Outcomes

Upon successful completion of this course- students should be able to:

  1. Specify the objective of a published study or survey.
  2. Identify the variables of interest.
  3. Choose an appropriate design.
  4. Design data collection procedures.
  5. Use appropriate software to prepare various graphical representations of data (histograms, bar charts, scatterplots, boxplots, etc.).
  6. Calculate measures of central tendency and variability (mean, mode, median, standard deviation, and skewness).
  7. Compare the advantages and disadvantages of the various representations of data.
  8. Critique the representations of data chosen by existing studies.
  9. Define what the probability of an event is.
  10. Calculate and estimate probabilities under various conditions.
  11. Distinguish between different types of variables, nominal, ordinal, and interval.

Reading List

  1. Ott, R.L. (1993). An Introduction to Statistical Methods and Data Analysis (4th ed.). Bekmont, CA: Wadsworth, Inc. This is the best textbook to be found in Weizmann's library. A newer edition of it (2001) is excellent.
  2. Ott, R.L. and Longnecker, M. (2001). An Introduction to Statistical Methods and Data Analysis (5th ed.). Pacific Grove, CA: Duxbury.
  3. Computer Software: You will be required to use SPSS statistical analysis software to complete some assignments. It is your responsibility, together with your academic advisor, to obtain a student version of the software. There are a number of resources that can be used to learn how to use the software. Those who prefer to consult a book might find the following reference helpful:
  4. George, D. & Mallery, P. (2005). SPSS for Windows Step by Step: A Simple Guide and Reference (5th ed. Covers SPSS 12.0). Allyn and Bacon.
  5. There are also a number of on-line resources that you might find helpful. UCLA Academic Technology services offer exceptional web-pages for SPSS:
  6. For SPSS: http://www.ats.ucla.edu/stat/spss/

Website

N/A