Intro to psychology top hat interactive text

Research Design and Analysis II

Section 002

Fall 2019

Lecture: TR 8:00 – 9:15 AM, Uhler 113

Lab: TR 9:30 – 10:20 PM, Uhler 110

Instructor: Dr. Margaret Reardon

Office: Uhler 304

Office Hours: M 1 – 3 PM, T 11 – 1 PM, W 1:30 – 2:30 PM, or by appointment

Email: Margaret.Reardon@iup.edu

Office Phone: (724) 357-2579

Course Purpose: This course is a continuation of Research Design and Analysis I, and is an overview of current research methods used in the various subdisciplines of psychology. Basic principles of research design, data collection, and analysis will be covered. Success in this course requires active participation in class activities and a group research project, timely reading of assigned material, and review of all material on a regular basis outside of class. Assigned readings will be from the required texts and are due on the dates specified below.

Prerequisites: PSYC 101, grade of C or better in PSYC 290

Learning Objectives:

Upon completion of this course, students will:

1. Analyze data from experiments using multiple between-subjects independent variables and one dependent variable.

2. Analyze data from experiments using one within-subjects independent variable and one dependent variable.

3. Analyze data from correlational studies using one or more predictors and one criterion.

4. Analyze data from research designs using categorical variables.

5. Understand the concept of statistical power and its use in sample size estimation.

6. Design and conduct survey research

a. Conduct critical literature reviews

b. Formulate testable hypotheses

c. Understand survey sampling procedures

d. Develop items for a survey

e. Understand the assessment of reliability and validity of measurements

7. Write research reports using APA format.

8. Generalize conclusions appropriately.

9. Follow the APA Ethics Code

Required Text:

Freburg, L. et al. (2017). Research Methods in Psychological Science. Top Hat Interactive Text.

Top Hat subscription for one semester

**You will also need a calculator that can square numbers.

Recommended Text:

Publication Manual of the American Psychological Association, 6th edition. Washington, DC: American Psychological Association.

Attendance Policy: You are expected to attend all class meetings, including labs. I will not be formally taking attendance, however we will complete assignments in class that count towards your grade. Attending all class lectures and labs is very important. I consistently find that students who regularly attend class perform better than students who do not. No one can take notes for you better than you can. Complete all your reading assignments before class on the day they are assigned so that you can better understand the lectures. You are responsible for all of the material covered in class and lab as well as the assigned readings. *Unless you have made special arrangements with me, you will not be given credit for a lab if you did not attend the lecture immediately prior.

Classroom Etiquette: I like my classes to have an informal, conversational style. However learning is my first priority. With that in mind, students should make an effort to keep distractions to a minimum. Please be to class on time with cell phones put away. If you have an emergency and need to keep your cell phone on, let me know at the beginning of class. Repeat offenders may be penalized at my discretion.

Evaluation: The final letter grades will be computed as follows: 100% ≥ A ≥ 90%; 90% > B ≥ 80%; 80% > C ≥ 70%; 70% > D ≥ 60%; 60% > F. At the discretion of the instructor, scores may be curved after the final grades are computed.

1. Exam 1 100 points

3. Exam 2 100 points

4. Exam 3 100 points

4. Lab Assignments (5@12 pts) 60 points

5. Top Hat Assignments (5@10 pts) 50 points

6. Research Project

a.) CITI Training 10 points

b) Complete Final Paper 90 points

7. Research Proposal Presentation 60 points

8. Class Participation 30 points

__________

Total of 600 points possible

You can calculate your grade at any point in the semester by dividing the total number of points you have received by the total number of points possible up to that point (E.g. If you received 90 points on Exam 1 and 75 points on Exam 2, your grade at that point would be 165 / 200 points, or 82.5%).

Exams: There will be three (3) exams throughout the course of the semester, consisting of multiple choice, true/false, fill in the blank, short answer, and statistical computation questions. Exams will cover statistical procedures and methodological issues from the textbooks, lectures, and labs. The exams will not be cumulative, but knowledge from previous exams may be necessary as methodological and statistical topics often build upon each other. Students will have a full class period and lab (100 minutes) to complete each exam. Once the first person leaves the class during an exam period, no student will be allowed to begin taking the exam. Students will be responsible for bringing a pencil and calculator to class on exam day. The exam dates are noted on the schedule below. If you know that you will be absent for one of the exams, please see me during the first week of class. Otherwise, students are expected to take the exams during the scheduled class time. If you miss an exam for a valid reason (e.g., serious illness, death in the family) then please contact me within 24 hours of the missed exam to schedule a make-up exam. No other make-ups will be given.

Lab Assignments: A number of assignments will be assigned during lab time, either to be completed during lab time, or to be completed on your own by the next meeting. These assignments will relate to the lectures and may consist of activities designed to reinforce methodological concepts (e.g., practicing APA style, writing hypotheses) or completing statistical problems either by hand or using SPSS. Not all assignments will count towards your grade (whether or not it will count towards your grade will be announced at the time the assignment is returned to you). Your lowest grade will be dropped. Please take note of the due date for each assignment before leaving lab, as late lab assignments will not be accepted. *Unless you have made special arrangements with me, you will not be given credit for a lab if you did not attend the lecture immediately prior.

Research Project and Paper: As a class we will be completing a group research project designed to reinforce course concepts. Students will be responsible for participating in this group project and for completing an individual research paper based on this project. This project will culminate in a complete research manuscript, written in APA style, due by 11:59 pm on December 3rd. The paper should be uploaded to turnitin.com (see more about turnitin.com below). More detailed information on each part of the project will be provided at a later date. Grades for late papers will be reduced by 1 point per hour.

Research Presentation: You will be required to give a short (10 minute) PowerPoint presentation on a research proposal, including background information, a proposed method and proposed data analysis. Presentations will be given during the scheduled final exam period during exam week. More information will be provided in class. Students should work in groups of two on this project.

Extra Credit: You can earn up to 2 percentage points worth of extra credit. More information will be given in class. All extra credit is due to me by the last day of class (Dec 5).

Top Hat: Top Hat is an online class platform (www.TopHat.com). We will be utilizing an online research methods text through this platform, along with assignments and an in-class feature that will allow you to answer questions in class using your smartphone, tablet, or laptop. You will need to purchase access to Top Hat (if you do not have it already for another class) for one semester. You will need to contact Top Hat if you are having technical difficulties with the program (www.tophat.com).

Academic Integrity: Plagiarism will not be tolerated. Plagiarism is using someone else’s ideas, words, or phrases (in whole or part) without giving proper credit to the original source. Plagiarism includes copying a student’s work, copying from published material verbatim, and paraphrasing another’s work without citing the original source. Instances of plagiarism and any other form of academic misconduct will be prosecuted according to the procedures adopted by Indiana University of Pennsylvania, and may include a failing grade and possible expulsion. Please refer to this link regarding IUP’s policy: http://old.www.iup.edu/registrar/catalog/acapolicy/index.shtm .

Turnitin.com: To help monitor academic integrity, you will be required to submit your final paper to Turnitin.com, a website that scans papers for evidence of plagiarism. Students agree that by taking this course all required papers may be subject to submission for textual similarity review to Turnitin.com for the detection of plagiarism. All submitted papers will be included as source documents in the Turnitin.com reference database solely for the purpose of detecting plagiarism of such papers. Use of the Turnitin.com service is subject to the Terms and Conditions of Use posted on the Turnitin.com site. Before you turn in your paper you will need to create an account on turnitin.com using your class ID and the associated password (see below).

Class ID: 22007048 / password: reardon19

Desire2Learn: You will be able to track your progress throughout the term through Desire2Learn (D2L). Exam and paper assignment grades will be posted on D2L. I will also be posting important class information on D2L, including a copy of this syllabus, and lecture notes. Lecture notes will be posted 24 hours before class. You may find it useful to print these slides before coming to class. These notes are not a substitute for reading the texts, or for coming to class. They will simply be a rough guide as to the topics we will be covering, and may help you structure your note-taking. If you are unfamiliar with D2L refer to the following website with information on how to log on: http://www.iup.edu/itsupportcenter/d2l/default.aspx .

Date

Lecture Topic

Reading

Lab Assignment

Project

Aug 27

Introduction

Experimental design

Lab: SPSS Review

Aug 29

Review of ANOVA

Pairwise comparisons

Lab: ANOVA & pairwise comparisons

Sept 3

Pairwise comparisons

ANOVA practice

TopHat Assign – Ch. 9

Sept 5

Repeated Measures ANOVA

Lab: Repeated measures ANOVA

Sept 10

Paper Format/Paper Topic

TopHat Assign – Ch. 10

Sept 12

Factorial Design

Lab: Factorial Design

Sept 17

Factorial ANOVA

Lab: Factorial ANOVA

Sept 19

Factorial ANOVA

CITI Training

CITI

Sept 24

Review for Exam

Lab: Exam 1 review

Sept 26

Exam 1

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Oct 1

Non-Experimental Research

Go over Exam 1

Oct 3

Measurement

TopHat Assign – Ch. 6

Oct 8

Designing a Survey

Lab: Project Design

Project Design

Oct 10

Correlation

Project Design

Oct 15

Correlation

Lab: Correlation

Oct 17

Regression

TopHat Assign – Ch. 8

Oct 22

Regression

Lab: Regression

Oct 24

Review for Exam

Lab: Exam 2 review

Oct 29

Exam 2

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Oct 31

Multiple Regression

Go over Exam 2

Nov 5

Multiple Regression

Lab: Multiple Regression

Nov 7

Chi Square

Lab: Chi square

Nov 12

Chi Square

Lab: Chi square

Nov 14

Writing up Results/APA Style

Data Analysis

Data Analysis

Nov 19

Power

TopHat Assign – Ch. 15

Nov 21

Power Analysis

Lab: Power analysis

Nov 26 & 28

No Class – Thanksgiving Break

Dec 3

Review for Exam 3

Lab: Exam 3 review

Paper Due

Dec 5

Exam 3

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Finals

Week

Presentations: Tues Dec 10, 8:00 – 10:00 AM (Uhler 113)

* Schedule subject to change as necessary.

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