MED 508 Niceliksel Araştırma Yöntemleri


MED 508


Instructor: Asst. Prof. Özlem Hesapçı  (Santral E4-212; (212) 3117547



The objective of the Quantitative Research Methods course is to introduce the basic concepts of statistical methods, focusing in particular on the use of software package SPSS.

The world is fast becoming more complex. Drawing inferences and formulating explanations to account for variation in human behavior increasingly requires the use of quantitative approaches to data analysis. This course is intended as an advanced consideration of quantitative methods and reasoning for social scientists to solve research problems and to improve decision making. However, this is not a math class; there will be no hand calculations. Most of the techniques are fairly standard and are employed in the “exploratory data analysis” approach.

Course Objectives:

By the end of the course you should be able to:

  • Be able to find and understand quantitative research articles in related academic journals in the field of communication and critically read the literature.
  • Evaluate and discuss current research findings in a variety of media fields.
  • Define key terms in scientific research such as hypothesis and variables.
  • Perform simple statistical tests on a provided dataset using SPSS.
  • Identify appropriate data collection technique(s) for a given research problem.
  • Conduct a simple research project using surveys or experiments.
  • Write an academic research report including a literature review, method, statistical analysis, and complete bibliography.
  • Understand ethical situations that might arise in social research.

Grading and Assessment:

Students must submit a research report at the end of the semester, 6000-8000 words. The research report must meet the requirements of an academic article.

The research report should be submitted no later than Friday, 28 May 2010. Research reports will constitute 50% of the final grade.

Students should choose one of two quantitative research methods (survey/experiment). In completing their assignment, they will be expected to demonstrate that they are able to implement the research techniques taught in the lectures.

In this research project students are expected to:

Identify a research question. Determine the variables to measure. Design the questionnaire or the experimental manipulations. Identify the appropriate sample of respondents. Conduct the research. Analyse the data, and report the findings. Write a full research report reflecting the contributions, as well as strengths and weaknesses of the study.

**Students are required to adhere to the latest APA Guidelines

In the assessment of the research project the instructor will look for implementation (%25), presentation of the topic (%25), content (%25) and critical judgment (%25).

2 Presentations on (Research Question-Proposal-Findings will constitute 30% of the final grade. 10% of the grade will be determined upon participation to the lecture discussions.


In the assessment of the presentations the instructor will look for: presentation of the topic, content and critical judgment.

  • Presentations should be on PowerPoint. PPT medium is English.
  • It is your responsibility to bring backup materials in case you encounter technical difficulties the day of your presentation.

Attendance and Class Participation Students are expected to attend all classes, and they are responsible for works missed during any absence from class. Students should notify the instructors as soon as possible of any anticipated absences.

Regarding Academic Dishonesty
Academic dishonesty includes cheating, plagiarism, unauthorized collaboration, falsifying academic records, and any act designed to avoid participating honestly in the learning process. Plagiarism will not be tolerated

All of the following are considered plagiarism:

  • turning in someone else’s work as your own
  • copying words or ideas from someone else without giving reference
  • failing to put a quotation in quotation marks
  • giving incorrect information about the source of a quotation
  • changing words but copying the sentence structure of a source without giving reference
  • copying so many words or ideas from a source that it makes up the majority of your work, whether you give reference or not.

Calendar and Readings:

The following is a tentative Schedule, may be subject to change as necessary and desirable. There are readings from the textbook, from online academic journals, from academic websites, from the popular press – keep up with the reading so you can participate in class discussions. Students will be notified in advance of any changes requiring preparation. I will keep you posted in class and/or via Bilgi Online Education.

Required and Supplementary Readings:

Most of the required readings are available online via MED 508 page at Online Bilgi. Recommended books are listed below.

Fall Semester 2009

Week Topic and Readings
Week 1

Feb. 15, 2010

Introduction to the Course

A general review of what research methods is all about. 

Reading: Neuman, 2006: Cpt 1,2,3

Week 2

Feb. 22, 2010

Designing a research

Reading: Neuman, 2006: Cpt 6,7,8

Discussion on individual Research Questions

Week 3

Mar. 1, 2010

Questionnaire Design

Reading: Neuman, 2006: Cpt 10

Due: Research Question

Week 4

Mar. 8, 2010

Causal Research

Reading: Neuman, 2006: Cpt 9

Week 5

Mar. 15, 2010

Individual Meetings

Due: Literature Review

Discussion: Research Proposals

Week 6

Mar. 22, 2010

Presentation of Research Proposals
Week 7

Mar. 29, 2010

No lecture

Due: Questionnaire drafts

April 5-9  Spring Break
Week 8

Apr. 12, 2010

  • A world of Statistics
  • Why Do Quantitative Research?
  • Reliability/Validity
  • Variables and Hypotheses
  • Getting Started with SPSS

Due: Questionnaire development

Week 9

Apr. 19, 2010

  • Measurement of Variables
  • Doing a Study and Reporting Descriptive Information
  • Typical Measures of Central Tendency
  • Relations among Mean Median and Mode
  • Nonparametric Tests for Categorical Variables (The Chi Square Test)

Alternatives to Chi Square for Frequency Data

Week 10

Apr. 26, 2010

  • Correlations
  • The Notion of Correlation
  • Elements of the Correlation
  • Matters Affecting Correlations

Methods of Correlations

Week 11

May 3, 2010

  • Multiple Regression Correlation
  • Contrasting Bivariate Correlation and Multiple Regression Correlation
  • How to do a Multiple Regression Correlation Study
  • Using Categorical Predictors

Due: Data Collection

Week 12

May 10, 2010

  • Statistical Significance Hypothesis Testing when Comparing Two Means
  • T-test Statistics
  • Assessing Power
  • Oneway Analysis of Variance
  • What After ANOVA? Multiple Comparison Tests

Factorial Analysis of Variance

Week 13

May 17, 2010

Wrapping it all up

Presentation of Findings

Week 14

May 28, 2010

Due: Article Submission