EDP/COE 502

Introduction to Data Analysis

Spring 2003: Dr. Gorin

Professor Joanna Gorin

E-mail:

joanna.gorin@asu.edu

Work phone:

480-965-1142

Office Location:

Payne 308H

Office hours:

Thursday 2 - 4 and by appointment

Notes:
Dr. Gorin is also available via email or posting messages on the discussion boards.

 

Meeting Times
Thursdays 4:40 PM to 7:30 PM
Computer Commons 107

 

Course Goals
This course is designed to familiarize students with descriptive and introductory inferential statistics often utilized in educational and psychological research. Students will learn to select appropriate statistical procedures, calculate statistics, and perform statistical tests both by hand and with SPSS (statistical software package). In addition to calculations, students will learn to interpret the results of statistical tests in terms of the experimental design and hypotheses.

Note, it is assumed that students have basic skills with high school level algebra such that they can isolate and solve for a single variable in an equation. Instruction in algebra will not be covered in class or office hours. However, although some simple calculations will be required, the emphasis of the course will be on statistical concepts and applications.
 

Some of the topics to be covered include:

Variables
Scales of Measurement
Samples
Measures of Central Tendency
Measures of Variablility
Graphical Representations of Descriptive Stats
The Normal Curve
Probability
Sampling Distributions
Standard Scores
Confidence Intervals
Hypothesis Testing
Z-Tests
T-Tests
Simple Regression
Correlation

 

Course Requirements
1. Class participation and attendance.
Though there is no attendace policy, in general, students missing more than three class sessions in one semester are not likely to receive a passing grade.

2. Problem Sets
Problem Sets are optional, and are not graded. However, students are encouraged to use these problem sets and the corresponding solution sets to practice concepts learned in lecture.

3. Computer mini-projects.
Two take-home computer mini-projects will be distributed prior to the midterm and final examination. These projects will require students to select, perform, and interpret statistical tests using the SPSS statistical software package.

4. Written exams.
A midterm exam and final exam are given at midsemester and then on the last day of class. NO MAKE-UP EXAMS WILL BE GIVEN. Check the given dates of the exams. Please make sure that you can attend class on these dates. The professor must be notified of any conflicts within the first week of class.
The final exam is not "cummulative", per se. However, the material covered on the midterm is necessary to understand the material covered on the final exam.

Grading Policies
Breakdown of percentages for exams and quizzes:

SPSS Quiz 1 - 15%
Midterm - 30%
SPSS Quiz 2 - 20%
Final - 35%
____________________
Total - 100%

COE/EDP 502 Course Topics, Readings and Problem Sets

Date

 

 

Session

 

 

Topic

 

 

Glass and Hopkins Reading

 

 

Green and Salkind Reading

 

Associated Problem Set

Jan 22

 

1

 

Introduction of Course, Blackboard Site, and Students; Statistical Terms and Scales of Measure

 

Ch. 1 & 2, Ch. 10 sections 10.1 - 10.8

 

 

 

Problem Set 1

Jan 29

 

2

 

Rounding, Distributions, Frequencies, Graphical Displays, Intro to SPSS

 

Ch. 3 (except section 3.8);

 

 

Units 1 - 4

 

Problem Set 2

Feb 5

 

3

 

Percentiles, Summation Notation, Measures of Central Tendency

 

Ch. 3 section 3.8, Ch. 4

 

Unit 5

 

Problem Set 3

Feb 12

 

4

 

Measures of Variability

 

Ch. 5

 

Unit 5

 

Problem Set 4

Feb 19

 

5

 

Normal Curves, Standard Scores,

z-scores, T-scores, and Other Distributions; SPSS Mini Project 1 Distributed

 

Ch. 6

 

 

 

Problem Set 5

Feb 26

 

6

 

Point and Interval Estimates, Sampling Distributions, Standard Error of the Mean, Confidence Intervals, Central Limit Theorem; SPSS Mini Project 1 Due

 

Ch. 10, sections 10.9 to end of chapter

 

 

 

Problem Set 6

Mar 4

 

7

 

Midterm Exam

 

 

 

 

 

 

Mar 11

 

8

 

Introduction to Hypothesis Testing

 

Ch. 11

 

 

 

 

Mar 18

 

9

 

Hypothesis Testing and Single Sample Tests

 

Ch. 11

 

Unit 6 Lesson 21

 

Problem Set 7

Mar 25

 

10

 

Hypothesis Testing and Independent Sample t-tests

 

Ch. 12 sections 12.1 - 12.12

 

Unit 6 Lesson 23

 

Problem Set 8

Apr 1

 

 

11

 

 

Hypothesis Testing and Dependent Sample t-tests

 

Ch. 12 sections 12.13 to end of chapter

 

Unit 6 Lesson 22

 

Problem Set 9

Apr 8

 

 

12

 

 

Inferential Tests and Reporting APA Results

 

 

 

 

 

Problem Set 10

Apr 22

 

13

 

Correlation and Scatterplots; SPSS Mini Project 2 distributed

 

Ch. 7 sections 7.1 - 7.16, 7.27

 

Unit 8 Lesson 30

 

Problem Set 11

Apr 29

 

14

 

Simple Regression; SPSS Mini Project 2 due

 

Ch. 8 sections 8.1 - 8.10, 8.16-8.18

 

Unit 8 Lesson 32

 

Problem Set 12

May 6

 

15

 

Final Exam