CMST 3700 01: Quantitative Comm Research

CMST 3700 - Quantitative Communication Research

Fall 2026 Syllabus, Section 01, CRN 41141,

Credit hours: 3

Course Meeting Times

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Instructor

Rebecca Curnalia

Email: rmcurnalia@ysu.edu

Public Instructor Information

Professor: Dr. Rebecca Curnalia

Credentials:

Ph.D., 2007, Kent State University, Communication Studies (Media and Persuasion emphasis)

M.A., 2003, Northern Illinois University, Communication Studies (Theory emphasis)

B.A., 2001, Olivet College, Communication (Journalism emphasis)

Office: Bliss 2013

Phone: 330-475-9295 (cell)

Private Instructor Information

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Course Description

3700. Quantitative Communication Research. This course introduces students to quantitative research methods in communication studies, focusing on designing, conducting, and analyzing communication research. Students will gain skills in statistical analysis, survey design, and experimental methods. Prereq.: 15 sh of Communication Studies including CMST 2600 with a grade of C or better and ENGL 1551. 3 s.h.

Course Readings

Group Title Author ISBN
Required The practice of social research Babbie, E. 9780357360798

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

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

Week of Reading(s) Proposed Topic Due/To Prepare for Class
8/24 Chapter 1 Social Scientific Process
8/31 Chapter 2 Theory and Research Research Problem / Idea
9/7 Chapter 3 Ethics Ethics Training Cert
9/14 Writing Background Research
9/21 Chapter 4 Research Design
9/28 Chapter 5 Operationalization & Measurement
10/5 Exam
10/12 Chapters 6 & 7 Indexes, Scales, & Sampling
10/19 Chapter 9 Surveys Research Proposal
10/26 Chapter 8 Experiments IRB Paperwork
11/2 Chapter 11 Content Analysis
11/9 Chapter 14 Quant Analysis
11/16 Data Collection Data Collection
11/23 Chapter 16 Data Analysis Initial Data Analysis
11/30 Chapter 17 Writing Results Results Report
12/7 Exam
Research Report

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.