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EDS 8823 Representation and Analysis of Quantitative Data

College

College of Education

Section

KBES6

Term

2023SP

Class Time & Place

Asynchronous

Campus

Online

Course Description

This course focuses on: (1) describing and summarizing data; (2) creating and interpreting standard scores, and; (3) using inferential statistics to make decisions. Students will be introduced to these quantitative procedures using the SPSS software. The skills developed in this course are a prerequisite to understanding educational research.

Credits

3

Instructor

Ben Andrews, PhD

Email Address

bandrews@piedmont.edu

Office

Athens 223

Phone

706-548-8505 x8007

Office Hours

By appointment. Schedule a meeting with me here: https://appt.link/meet-with-dr-andrews/office-hours

Textbooks and Class materials

Salkind, N. J., & Frey, B. B. (2019). Statistics for people who (think they) hate statistics. Sage Publications, Incorporated. (REQUIRED)

You will also need a Premium membership to Laerd Statistics for this course: https://statistics.laerd.com/pricing.php Discount code for 3 months’ access: CP-USD-3M-799 (REQUIRED)

Student Learning Outcomes

Upon the completion of this course, students will be able to:

  1. Explain how levels of measurement connects to which hypothesis test we conduct.
  2. Evaluate the appropriate fit between data and the statistical analysis approach.
  3. Describe characteristics of quantitative data using appropriate statistical tools like central tendency and measures of dispersion.
  4. Apply key probability principles in hypothesis testing.
  5. Build useful quantitative summaries for outside audiences.
 

Educational Technology Requirements

  • Online/Hybrid

    Minimum technology requirements for online and hybrid courses may be found at the following URL:  https://www.piedmont.edu/academics/technology-requirements/.

    Active, weekly participation is required as a minimum standard to register attendance in an online or hybrid course. Logging onto a course, in the absence of active participation, is not sufficient to register attendance.

Grading Scale

To promote fair and consistent assessments, the following grading guidelines will be applied on the total points:

A 100% to 90%
B less than 90% to 80%
C less than 80% to 70%
D less than 70% to 60%
F less than 60% to 0

Grading System

OVERVIEW OF ASSIGNMENTS

Module quizzes                                               10%

SPSS labs                                                         20%

SPSS homework assignments                      40%

Data in Practice Activity                                 10%

Final exam                                                        20%

                                                            Total:  100%

Course Outline/Schedule

COURSE SCHEDULE

 

Week

Module

Topics

Readings

Assignments/Activities

Start Here

Course Introduction

Meet Your Instructor

Syllabus, Course Overview, Piedmont Policies

Course Syllabus

 

Week 1:

1/9 – 1/15

1

Due 1/15

Introduction to Statistical Reasoning and Quantitative Data Basics

Ch. 1, Salkind & Frey

Laerd guide on descriptive and inferential statistics 

**All Laerd readings will be linked in Canvas

"Monty Hall" game applet activity

Intro to SPSS Lab

Module 1 Quiz

Intro to SPSS Homework

 

 

Week 2:

1/16 – 1/22

2

Due 1/22

Levels of Measurement

Laerd guide on types of variables

Levels of Measurement activity

Levels of Measurement Lab

Module 2 Quiz

Levels of Measurement Homework

Week 3:

1/23 – 1/29

3

Due 1/29

Measures of Central Tendency and Measures of Dispersion

Chs. 2-3, Salkind & Frey

2 Laerd guides on descriptive statistics

Descriptive Statistics applet activity

Descriptive Statistics Lab

Module 3 Quiz

Descriptive Statistics Homework

 

 

Week 4:

1/30 – 2/5

4

Due 2/5

Graphs and Visual Representations of Quantitative Data

Ch. 4, Salkind & Frey

5 Laerd guides on graphing data

Building Visuals in SPSS Lab

Module 4 Quiz

Building Visuals in SPSS Homework

Week 5:

2/6 – 2/12

5

Due 2/12

The Normal Curve and Standardized Scores

Ch. 8, Salkind & Frey

Laerd guide on testing for normality

One Proportion applet activity

Testing Normality in SPSS Lab

Module 5 Quiz

Testing Normality in SPSS Homework

 

 

Week 6:

2/13 – 2/19

6

Due 2/19

Sample, Populations, and Confidence Intervals

Laerd guide on sampling

Sampling Words applet activity

Simulating Confidence Intervals applet activity

Sampling in SPSS Lab

Sampling in SPSS Homework

Week 7:

2/20 – 2/26

7

Due 2/26

Probability and the P-Value

Ch. 7, Salkind & Frey

One Proportion applet activity

Data in Practice Activity

 

Week 8:

2/27 – 3/5

8

Due 3/5

Introduction to Hypothesis Testing and the One-Sample T-Test

Ch. 9, Salkind & Frey

2 Laerd guides on hypothesis testing and the one sample t-test

One Proportion applet activity

One-Sample T-Test Lab

One-Sample T-Test Homework

 

 

PIEDMONT UNIVERSITY SPRING BREAK

MARCH 6-12

 

Week 9:

3/13 – 3/19

9

Due 3/19

Independent Samples T-Test

Ch. 11, Salkind & Frey

Laerd guide on independent samples t-test

Independent Samples T-Test Lab

Module 9 Quiz

Independent Samples T-Test Homework

 

Week 10:

3/20 – 3/26

10

Due 3/26

Dependent (Paired) Samples T-Test

Ch. 12, Salkind & Frey

Laerd guide on paired samples t-test

Dependent Samples T-Test Lab

Module 10 Quiz

Dependent Samples T-Test Homework

 

Week 11:

3/27 – 4/2

11

Due 4/2

One-Way ANOVA

Ch. 13, Salkind & Frey

Laerd guide on one-way ANOVA

One-Way ANOVA Lab

Module 11 Quiz

One-Way ANOVA Homework

Week 12:

4/3 – 4/9

12

Due 4/9

Correlation

Chs. 5 and 15, Salkind & Frey

Laerd guide on Pearson’s product moment correlation

Correlation Lab

Module 12 Quiz

Correlation Homework

Week 13:

4/10 – 4/16

13

Due 4/16

Linear Regression

Ch. 16, Salkind & Frey

Laerd guide on simple linear regression

Linear Regression Lab

Module 13 Quiz

Linear Regression Homework

 

Week 14:

4/17 – 4/23

14

Due 4/23

Chi-Square Goodness of Fit Test and Chi-Square Test for Association

Ch. 17, Salkind & Frey

2 Laerd guides on chi-square tests

Chi-Square Lab

Module 14 Quiz

Chi-Square Homework

Week 8:

4/24 – 4/29

15

Due 4/29

Course Wrap Up and Final Exam

 

Final Exam

Submit Field Experience Reflection

Submit Program Outcome Reflection

Course Evaluation

Piedmont Policies

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Additional Information

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