PSYC 2629 01: Data-Based Decision Making

PSYC 2629 - Data-Based Decision Making

Fall 2026 Syllabus, Section 01, CRN 43328,

Credit hours: 3

Course Meeting Times

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Instructor

Matthew Lindberg

Professional Qualifications:
Ph.D. Experimental Psychology from The Ohio University (2010)
M.S. Experimental Psychology from The Ohio University (2007)
B.S. Psychology from the University of Florida (2002)
B.A. Criminology from the University of Florida (2002)

Associate Professor

Email: mjlindberg@ysu.edu

Office: Beeghly Hall 4107

Office Phone: 330-941-1615

Preferred Contact Method: email

Communication Expectations:
I strive to respond to emails within 48 hours. If you do not receive a response within 48 hours, please send me another email.

How to Refer to me:
Dr. Lindberg

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Public Instructor Information

Instructor Title: Dr. Matthew J Lindberg
Instructor Professional Qualifications:

Ph.D. Experimental Psychology from The Ohio University (2010)

M.S. Experimental Psychology from The Ohio University (2007)

B.S. Psychology from the University of Florida (2002)

B.A. Criminology from the University of Florida (2002)

Instructor Office Location: Beeghly Hall 4107

Instructor Office Phone: 330-941-1615

Private Instructor Information

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Course Description

2629. Data-Based Decision Making. Students will learn to make decisions and draw inferences from statistical analyses, with emphasis on hypothesis-testing and inferential techniques. Prereq.: C or better in both PSYC 2617 and PSYC 2618. 3 s.h.

Course Readings

Group Title Author ISBN
Required MindTap for Essentials ofStatisticsfor the Behavioral Sciences Frederick J Gravetter; LarryB.Wallnau; Lori-Ann B. Forzano;JamesE. Witnauer 9780357585047

The course readings are subject to change in the event of extenuating circumstances, research developments, current events, and/or to ensure better learning.  

Additional Course Materials

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Course Learning Outcomes/Objectives/Goals

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How to Succeed in This Course

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Attendance Expectations

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Late Work Submission Policy

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Additional Course Expectations

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Artificial Intelligence Policy Statement

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Assignments/Assessments

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Grading and Grading Scale

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University Policies

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Schedule of Topics and Assignments

Day Date Reading(s) Proposed Topic Due/To Prepare for Class
Mon 8/24 Module 1: Chapter 8 Introduction to Hypothesis testing
Wed 8/26 Module 1: Chapter 8 Introduction to Hypothesis testing Lecture Annotation 8-1
Fri 8/28 Module 1: Chapter 8 Introduction to Hypothesis testing Lecture Annotation 8-2
Mon 8/31 Module 1: Chapter 8 Introduction to Hypothesis testing Lecture Annotation 8-3
Lecture Annotation 8-4 & 8-5
Wed 9/2 Module 1: Chapter 8 Introduction to Hypothesis testing Lecture Annotation 8-6
Ch.8 MindTap
Fri 9/4 Module 1: Chapter 8 Introduction to Hypothesis testing Ch.8 Exam Opens
Mon 9/7 Legal Holiday - University Closed
Wed 9/9 Module 2: Chapter 9 Introduction to the t-statistic Lecture Annotation 9-1
Fri 9/11 Module 2: Chapter 9 Introduction to the t-statistic Lecture Annotation 9-2
Ch.8 Exam Due
Mon 9/14 Module 2: Chapter 9 Introduction to the t-statistic Lecture Annotation 9-3
Wed 9/16 Module 2: Chapter 9 Introduction to the t-statistic Lecture Annotation 9-4
Fri 9/18 Module 2: Chapter 9 Introduction to the t-statistic Ch.9 MindTap
Ch.9 SPSS Applied Activity
Mon 9/21 Module 2: Chapter 9 Introduction to the t-statistic Ch.9 Exam Opens
Wed 9/23 Module 3: Chapter 10 t-test for two independent samples Lecture Annotation 10-1 & 10-2
Fri 9/25 Module 3: Chapter 10 t-test for two independent samples Lecture Annotation 10-3
Mon 9/28 Module 3: Chapter 10 t-test for two independent samples Ch.9 Exam Due
Lecture Annotation 10-4
Wed 9/30 Module 3: Chapter 10 t-test for two independent samples Lecture Annotation 10-5
Fri 10/2 Module 3: Chapter 10 t-test for two independent samples Ch.10 MindTap
Ch.10 SPSS Applied Activity
Mon 10/5 Module 3: Chapter 10 t-test for two independent samples Ch.10 Exam Opens
Wed 10/7 Module 4: Chapter 11 t-test for two related samples Lecture Annotation 11-1 & 11-2
Fri 10/9 Module 4: Chapter 11 t-test for two related samples Lecture Annotation 11-3
Mon 10/12 Module 4: Chapter 11 t-test for two related samples Ch.10 Exam Due
Lecture Annotation 11-4
Wed 10/14 Module 4: Chapter 11 t-test for two related samples Lecture Annotation 11-5
Ch.11 MindTap
Ch.11 SPSS Applied Activity
Fri 10/16 Module 4: Chapter 11 t-test for two related samples Ch.11 Exam Opens
Mon 10/19 Module 5: Chapter 12 Introduction to Analysis of Variance Lecture Annotation 12-1 & 12-2
Wed 10/21 Module 5: Chapter 12 Introduction to Analysis of Variance Lecture Annotation 12-3
Fri 10/23 Module 5: Chapter 12 Introduction to Analysis of Variance Ch.11 Exam Due
Mon 10/26 Module 5: Chapter 12 Introduction to Analysis of Variance Lecture Annotation 12-4
Wed 10/28 Module 5: Chapter 12 Introduction to Analysis of Variance Lecture Annotation 12-5
Fri 10/30 Module 5: Chapter 12 Introduction to Analysis of Variance Ch.12 MindTap
Ch.12 SPSS Applied Activity
Mon 11/2 Module 5: Chapter 12 Introduction to Analysis of Variance Ch.12 Exam Opens
Wed 11/4 Module 6: Chapter 13 Two-factor Analysis of Variance Lecture Annotation 13-1
Fri 11/6 Module 6: Chapter 13 Two-factor Analysis of Variance Lecture Annotation 13-2
Mon 11/9 Module 6: Chapter 13 Two-factor Analysis of Variance Ch.12 Exam Due
Wed 11/11 Legal Holiday - University Closed
Fri 11/13 Module 6: Chapter 13 Two-factor Analysis of Variance Lecture Annotation 13-3
Mon 11/16 Module 6: Chapter 13 Two-factor Analysis of Variance Ch.13 MindTap
Ch.13 SPSS Applied Activity
Wed 11/18 Module 6: Chapter 13 Two-factor Analysis of Variance Ch.13 Exam Opens
Fri 11/20 Module 7: Chapter 14 Correlation & Regression Lecture Annotation 14-1 & 14-2
Mon 11/23 Module 7: Chapter 14 Correlation & Regression Lecture Annotation 14-3 & 14-4
Wed 11/25 Module 7: Chapter 14 Correlation & Regression Lecture Annotation 14-5
Fri 11/27 Legal Holiday - University Closed
Mon 11/30 Module 7: Chapter 14 Correlation & Regression Lecture Annotation 14-6
Wed 12/2 Module 7: Chapter 14 Correlation & Regression Ch.14 MindTap
Ch.14 SPSS Applied Activity
Fri 12/4 Module 7: Chapter 14 Correlation & Regression Ch.14 Exam Opens
Mon 12/7 Finals Week
Wed 12/9 Finals Week
Fri 12/11 Finals Week Ch.14 Exam Due

The course schedule, policies, procedures, and assignments in this course are subject to change in the event of extenuating circumstances, by mutual agreement, and/or to ensure better learning.