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Quantitative Methods for Communication (Spring 2022)
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= Schedule = '''NOTE''' This section may be modified throughout the course to meet the class's needs. Check back in weekly. == Week 1: Variables, Research Questions, and Hypotheses == ==== January 11 ==== '''Assignment Due:''' * [[/Discord Signup|Sign up for Discord]] and introduce yourself * Take [https://forms.gle/Ak9GYuFGer89k6G47 this very brief survey] '''Required Readings:''' * Five Big Words (on Brightspace) '''Concepts:''' * Class overview and expectations โ We'll walk through this syllabus. * Goals of Quantitative Research ==== January 13 ==== '''Assignment Due:''' * Read the entire syllabus (this document) '''Readings (on Brightspace):''' * Variables in non-experimental studies * Conceptualizing * Writing RQs '''Concepts:''' * Constructs * Hypotheses * Research Questions * Independent/Dependent Variables ==== January 14 ==== '''Lab 1: Intro to SPSS''' == Week 2: Surveys == ==== January 18 ==== '''Readings (before class):''' * Scales of Measurement '''Concepts:''' * Scales ====January 20==== '''Readings (before class):''' * How to improve online survey response rates; * Survey questions 101: do you make any of these 7 question-writing mistakes? '''Concepts:''' * Selection effects * Survey Project Assigned ====January 21==== '''Lab 2: Entering and Modifying Data in SPSS''' '''Assignment Due:''' * Lab 1: Intro to SPSS * Completed Homework Survey == Week 3: Descriptive Statistics == ====January 25==== '''Readings (before class):''' * Salkind Chapter 2 * Salkind Chapter 4 '''Concepts:''' * Distributions * Mean * Median * Mode ====January 27==== '''Readings (before class):''' * Salkind Chapter 3 * Interquartile Range * SD and normal curve '''Concepts:''' ====January 28==== '''Lab 3: Modifying data in SPSS''' '''Assignment Due:''' * Lab 2 * SPSS Homework Survey Data File == Week 4: Z-scores and correlation == ====February 1==== '''Assignment Due:''' * SURVEY PROJECT QUESTIONS DUE in Lecture '''Readings (before class):''' * Salkind Ch. 8 pp. 149-165 * Standard scores and the normal curve '''Concepts:''' * Standardization * Z-scores ====February 3==== '''Readings (before class):''' * Salkind Chapter 5 '''Concepts:''' * Correlation * r ====February 4==== '''Lab 4: Descriptive Stats and z scores''' '''Assignment Due:''' * Lab 3 == Week 5: Reliability and Validity == ====February 8==== '''Readings (before class):''' * Salkind Chapter 6 * Reliability and its relationship to Validity '''Concepts:''' * Validity * Generalizability * Replication ====February 10==== '''Readings (before class):''' * Sampling '''Concepts:''' ====February 11==== '''Lab 5: Scatterplots and correlation''' '''Assignment Due:''' * Lab 4 == Week 6: Sampling (cont'd) == ====February 15==== '''Assignment Due:''' * Survey project '''Readings (before class):''' * Sampling distribution * Sampling error '''Concepts:''' ====February 17==== '''Review for Midterm''' ====February 18==== '''Lab 6: Reliability and Cronbach's alpha''' '''Assignment Due:''' * Lab 5 == Week 7: Experimental Design == ====February 22==== '''MIDTERM EXAM''' ====February 24==== '''Readings (before class):''' '''Concepts:''' ====February 25==== '''Lab 7: Review for SPSS Quiz 1''' == Week 8: Causality == ==== March 1 ==== Final Project Assigned '''Readings (before class):''' * Cialdini EPH Experiment (pp. 599-601) * True Experimental Designs '''Concepts:''' * "True" experiments * ====March 3==== '''Readings (before class):''' * Establishing Cause and Effect * Internal Validity * External Validity '''Concepts:''' ====March 4==== '''Lab 8: SPSS Quiz 1''' == Week 9: Central Limit Theorem and standard errors == ====March 8==== '''Readings (before class):''' * Salkind Ch. 9, pp. 186-187 * Probability and Normal Curve & Standard Error of Mean (same PDF) '''Concepts:''' ====March 10==== '''Readings (before class):''' * Salkind Chapter 9 pp. 192-194 * Confidence interval for the mean '''Concepts:''' ====March 11==== '''Lab 9: Final Project Data Collection''' ====SPRING BREAK MARCH 14-18==== == Week 10: Testing hypotheses == ====March 22==== '''Readings (before class):''' * Salkind Chapter 7 * Salkind Chapter 9 pp. 188-192 * Salkind Chapter 10 '''Concepts:''' * The null hypothesis * Hypothesis testing * Statistical significance * One sample z-test ====March 24==== '''Readings (before class):''' * Chapter 17 * Computation of Two-way Chi-Square '''Concepts:''' * Chi-squared tests ====March 25==== '''Lab 10: Survey Analysis Project: Data Entry''' '''Assignment Due:''' * Final Project data must be gathered == Week 11: Significance tests == ====March 29==== '''Readings (before class):''' * Cramerโs Phi '''Concepts:''' * Chi-Square: Effect Size ====March 31==== '''Readings (before class):''' * Salkind Chapter 15 '''Concepts:''' * Testing ''r'' for statistical significance ==== April 1 ==== '''Lab 11: Two-way Chi-squared''' '''Assignment Due:''' * Lab 10 == Week 12: t-tests == ====April 5==== '''Readings (before class):''' * Salkind Chapter 11 '''Concepts:''' * t-tests for independent groups ====April 7==== '''Readings (before class):''' * Introduction to Effect Size '''Concepts:''' * Cohen's ''d'' ====April 8==== '''Lab 12: t-test and Pearson's r''' '''Assignment Due:''' * Lab 11 == Week 13: Errors and Ethics == ====April 12==== '''Readings (before class):''' * Salkind Chapter 9, pp. 177-186 '''Concepts:''' * Type I and Type II errors * Statistical power ====April 14==== Final project review + Q&A ====April 15==== '''No Lab: Workday for Final Project''' '''Assignment Due:''' * Lab 12 == Week 14 == ====April 19==== Review for SPSS Quiz 2 ====April 21==== Open Topic: Buffer Day / Out-of-class workday ====April 22==== '''SPSS Quiz 2''' == Week 15 == ====April 26==== Out-of-class work day for final project ====April 28==== Review for Final exam '''Assignment Due:''' * '''Final Project''' ====April 29==== '''No Lab''' == Week 16: Final Exam == May 5, 1:00 pm - 3:00 pm
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