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Research Methods and Statistics
Mc Nair Scholars Summer Program 2004
MW 8:30-12:00 

Instructor: Bettina Casad
Office: Steele 1, Scripps College
Phone: (909) 607-0002
e-mail: bettina.casad@cgu.edu
Office Hours: Mondays and Wednesdays by appointment


Course Description

 

This course will introduce you to the process of scientific inquiry using qualitative, quantitative, and mixed methods. The course will cover all stages of the research process including conceptualization, design, measurement, and collecting, analyzing, interpreting, and presenting data. You will learn how to analyze qualitative and quantitative data using descriptive and inferential statistics. The goal of the course is to help you develop the ability to design and critically assess scientific research.

 


 

 

Course Learning Objectives

 

Upon completion of this course, you will be able to:

 

  1. Identify and define methodological and statistical terms, concepts, and procedures
  2. Describe qualitative and quantitative research methods used in the social sciences and humanities
  3. Compute descriptive and inferential statistics using a calculator and a computer
  4. Apply appropriate methodological and statistical procedures to answer research questions
  5. Interpret and present results of statistical analyses
  6. Critically evaluate research claims by examining research methodology and statistical analyses
  7. Apply course concepts to your individual research projects

 

Required Texts and Materials

 

1. Creswell, J. W. (1998). Qualitative inquiry and research design: Choosing among five

traditions. Thousand Oaks, CA: Sage. ISBN: 0761901442

 

2. Jackson, S. L. (2003). Research methods and statistics: A critical thinking approach. Belmont,

CA: Thompson/Wadsworth. Bundled with the study guide, ISBN: 0534437087

 

3. Supplemental reading to be distributed in class.

 

 

4. A calculator that has a square root key, a summation key, and preferably at least one memory register. Usually scientific calculators are appropriate. A graphing calculator (e.g., TI-83) is also helpful but not required. Be sure to bring the instruction manual with you and learn how to use your calculator's functions.

 

5. An IBM formatted 3.5" diskette or USB memory stick. Label the disk with your name, class number, your email address, and my name in case you forget it in the computer lab.

 


 

 

Course Requirements

 

Exams (200 points): There are two comprehensive exams each worth 100 points covering material from the qualitative (midterm) and quantitative (final) components of the course. The final exam will primarily cover material from the second half of the course, but will assume knowledge of material covered in the first half. The exams will be based on readings, lectures, assignments, and in-class activities. The exams may include multiple-choice, matching, fill in the blank, short answer, and essay questions.

 

Methodology Application Assignments (200 points):

 

Assignment 1: Research Methods in Your Discipline (10 pts.): In this assignment, you will familiarize yourself with research methods in your discipline, including the outlets for publishing research, the top academic journals, and common qualitative, quantitative, and statistical methods utilized. Additional information will be provided in a separate handout in class.

 

Assignment 2: Data Collection (50 pts.): This assignment offers hands-on application of one of two qualitative research techniques, naturalistic observation, or interviewing. You will carry out either a naturalistic observation or oral interview on a topic of your choosing. In a brief paper, you will describe your research question, sampling technique, and procedures used to answer your research question. Additional information will be provided in a separate handout in class.

 

Assignment 3: Content Analysis (50 pts.): In this assignment, you will conduct a content analysis on your field notes or interview transcription from assignment 2. Alternatively, you can conduct a content analysis of a primary source or document relevant to your research interests. Additional information will be provided in a separate handout in class.

 

Assignment 4: Survey Construction (50 pts.): This assignment entails constructing a survey based on techniques discussed in the course. Within the survey, you will create at least one original scale measuring a concept of interest. You will then administer the survey to a small number of participants to allow assessment of the survey's reliability and validity. Additional information will be provided in a separate handout in class.

 

Assignment 5: Descriptive and Correlational Analyses (20 pts.): In this assignment, you will calculate descriptive and correlational analyses using a calculator and a computer program (SPSS). The assignment will familiarize you with bivariate correlation and linear regression. Additional information will be provided in a separate handout in class.

 

Assignment 6: Inferential Statistics (20 pts.): In this assignment you will calculate inferential statistics, including z tests, t tests, and ANOVA using a calculator and SPSS. Additional information will be provided in a separate handout in class.

 

 

Research Proposal (100 points): Throughout the course, you will work on developing your own research questions and designing appropriate studies. The research proposal will summarize your ideas by including an (1) introduction describing the theoretical and conceptual nature of your research question; (2) the appropriate qualitative or quantitative methodology needed to answer your research question; (3) the appropriate descriptive and/or inferential statistics needed to answer your research question; and (4) the theoretical and practical implications of your anticipated results. Additional information will be provided in a separate handout in class.

 

Oral Presentation (50 points): To further develop your presentation skills and improve your ability to communicate your research to people outside your discipline, you will present your research proposal to the class using visual aides, such as PowerPoint. The presentation is an opportunity for you to receive feedback from your peers and to learn about a wide range of studies proposed by your peers. Additional information will be provided in a separate handout in class.

 

Method Critiques (50 points):  Each student will evaluate each other's oral presentations, highlighting the strengths and areas for improvement. You will be evaluated on the quality of your feedback on each student's presentation. Additional information will be provided in a separate handout in class.

 

Group Participation (50 points):

Students in this course will be active learners who play an important role in their academic growth and development. You should read all the assigned readings before each class, thoughtfully process the information, and be ready to contribute to class discussion and activities. There will be several in-class activities and discussions in which all students are expected to participate. You will periodically work in small groups on graded in-class assignments.

 


 

 

Course Evaluation

 

Grades will be based on the successful completion of exams, written assignments, and group assignments according to the following grading system:

 

Assignment

Point Value

Grade Equivalents

 

Exams (2 X 100 pts.)....................................................200

Application Assignments................................................200

1 =10; 2 = 50; 3 = 50; 4 = 50; 5 = 20; 6 = 20

Research Proposal........................................................100

Oral Presentation............................................................­50

Method Critiques............................................................­50

Group Participation.........................................................­50

                                                                  Total points 650

A  = 604 - 650     A- = 585 - 603

B+ = 565 - 584    B = 539 - 564

B- = 520 - 538     C+ = 500 - 519

C =  474 - 499     C- = 455 -  473

D+  = 435 - 454   D = 409 -  434

F = 0 - 408

 

 

Course Policies

 

Missed Exams and Late Assignments: Make-up exams will be given only for serious illnesses requiring medical treatment, verifiable emergencies (with doctor's letter, accident report, etc.), and legitimate academic scheduling conflicts discussed with the instructor at least two weeks before the exam date. Late assignments are strongly discouraged and will be reduced by 10% per calendar day late. There are no make-up in-class assignments as they are based on the day's lecture, discussion, and activities. Excessive absences will be reflected in your class participation grade.

 

Academic Honesty: It is expected that exams and written assignments will reflect your own work. Any form of cheating will not be tolerated. Plagiarism is a form of cheating where you present someone else's work as your own including using someone else's paper, or parts of it, and not referencing someone else's idea. To avoid plagiarism, always reference the original source from which the idea was developed. In accordance with school policies, anyone found cheating will receive a failing grade on that assignment or test.

 

Classroom Environment:  Students learn best in an environment that is free of distractions. I expect that students will behave professionally and respect other students' right to learn. In addition, students are expected to respect diversity and alternative points of view. To limit distractions, please avoid coming late to class and turn off cellular phones and pagers before class begins.

 

Additional Accommodations: Please let me know if you require additional accommodations to attend class lecture, participate in activities, or take exams. There are no prerequisites for the course; however, students are expected to have college level reading and writing skills. If you need further assistance with your studies, please talk with me or visit the writing center.

 


 

Course Schedule

 

The course schedule is subject to change at the instructor's discretion, given appropriate notice.

 

Date

Topics

Class Activities

Readings, Assignments, and Tests

Part One: Qualitative Methods

Week 1

Wed. June 23

Introduction to the Course; Introduction to Qualitative and Quantitative Methods; The Scientific Method; Designing a Qualitative Study

 

Introductions and Research Interests

Syllabus, Creswell Chs. 1 & 2; Jackson Ch. 1 (pgs. 5-21)

Research Proposal Assigned

Week 1

Fri. June 25

Five Traditions in Qualitative Inquiry; Philosophical and Theoretical Frameworks

Discussion Questions

Creswell Chs. 3, 4, & 5; Jackson Ch. 2 (pgs. 26-30) 

Assignment 1: Research Methods in Your Discipline

 

 

 

Week 2

Mon. June 28

Introducing and Focusing the Study; Data Collection and Procedures

Discuss Research Proposals

Creswell Chs. 6 & 7

Assignment 1 Due Assignment 2: Data Collection

 

Week 2

Wed. June 30

Data Analysis

Content Analysis; Coding Schemes; Computer Lab: Using NUD*IST

Creswell Ch. 8, supplemental reading Assignment 3: Content Analysis

 

Week 3

Mon. July 5

Quality Verification; Concluding the Study

Research Critique

Creswell Chs. 10 & 11 Assignments 2 & 3 Due

 

Part Two: Quantitative Methods

Week 3

Wed. July 7

Defining, Measuring, & Manipulating Variables; Survey Methods

Scale and Survey Construction

Jackson Chs. 2 (pgs. 31-46) & 3 (pgs. 55-64), supplemental reading Midterm Exam Assignment 4: Survey Construction

 

Week 4

Mon. July 12

Descriptive Statistics; Correlational Methods

Computer Lab: Using SPSS, Assessing Scale Reliability, Correlation and Regression

Jackson Chs. 4 & 5 Assignment 5: Descriptive and Correlational Analyses

 

Week 4

Wed. July 14

Hypothesis Testing and Inferential Statistics

 

Problem Sets

Jackson Ch. 6 Assignment 4 Due

 

Week 5

Mon. July 19

 

Experimental Designs; Inferential Statistics-Two Group Designs

Computer Lab: z test, t tests, and chi square

Jackson Chs. 7 & 8 Assignment 5 Due Assignment 6: Inferential Statistics

 

 

Week 5

Wed. July 21

Inferential Statistics-Three or More Groups; Complex Experimental Design

 

Interpreting Interactions; Computer Lab: ANOVA

 

Jackson Chs. 9 & 1

Week 6 

Mon. July 26

Quasi Experimental Designs; Mixed Methods; Advanced Statistical Procedures; Ethics in Research; Student Presentations

 

Method Critiques

Jackson Ch. 11 & 12 (pgs. 261-273), supplemental reading Assignment 6 Due

 

Week 6

Wed. July 28

Student Presentations

Method Critiques

Research Proposal Due

Final Exam

 

 


 

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