29 Aralık 2015 Salı

Regression Analysis Tutorial

Please look at this tutorial, if you are going to be using regression analysis in your paper:

http://academic.udayton.edu/gregelvers/psy216/spss/reg.htm

23 Aralık 2015 Çarşamba

Data Categories


Data categories should be mutually exclusive and exhaustive.
Mutually exclusive: each possible survey response should belong to only one category, whereas
Exhaustive: categories should cover the entire set of possibilities.
 
Data Categories
 
Nominal data: different categories of data, but they lack an order. (A binary variable is a nominal variable with only two categories.)
  Examples: sex (binary), name, nationality, eye color, city
Ordinal data: Categorical data that has an intrinsic order. It only shows sequence. The distance between categories is not really standart, so we cannot add, subtract, etc.
  Examples: Likert items (level of agreement), restaurant/hotel rankings, race rankings (first and second in a competition).
 
Discrete data: only has integers and decimals are meaningless. We usually collact discrete data by counting items/events.
  Example: The number of children in a family. The number of votes for a party.
Continuous data: can take any range of values.
  Examples: weight, height, age, heat.
Interval data: Each position is equally distant from one another, but ratios are meaningless. Zero is not meaningful (it is arbitrary)
  Example: Heat. 20 degree and 25 degrees are 5 degrees different. 35 degrees and 40 degrees are also 5 degrees different. But 40 degrees is NOT twice as hot as 20.
Ratio Data: Numbers can be multiples of each other. can be multiplied and divided. Zero has a meaning.
Example: Age, weight, height.
 

QUALITATIVE METHODS


There are ways of conducting qualitative research. We will cover 2 of the most common methods:
1.      FOCUS GROUPS:
Morgan, D. (1996) Focus Groups.  Annual Review of Sociology. 22: 129-152.

“Collects data through group interaction determined by the researcher.” P. 130

It is INTERACTIVE.
Generally 4-10 people. Smaller groups are preferred for emotionally charged topics. They are easier to mdoerate. They allow more sharing. There is less idea generation.

They can be strangers, or acquaintances. (what you prefer depends on your research question).
Goals:
İdea generation
Understanding what people think and how people talk on a topic
Possible problems:
Conformity

The group effect: people query each other and explain themselves to each other. We can see the extent of consensus and diversity of the participants.
The role of the moderator is important: do not interrupt the group interaction.

Some topics may be unacceptable for group discussion.

Questions: should the questions be standardized? How structured should the interview be?

Sampling: segmentation – consciously varying the composition of the groups (socioeconomic group, geography, education, sex, age).
1.      Adds a comparative dimension
2.      Facilitates discussion by making discussants similar to each other.

Saturation: after a few groups, the discussion starts repeating and the researcher can predict what they participants will say.

Time: Average is 90 minutes.

2.      IN-DEPTH INTERVIEWS:

Be fully prepared.
Cover all publicly available resources on the topic (Literature review).
Targeted and efficient questions.
Develop hypotheses in advance about what you expect.
Be open to have your hypothesis falsified
May conduct exploratory interviews with low-ranking people
Start interviews with low-ranking people
Record the interview IF POSSIBLE. Transparency!

HOW TO DO SCIENTIFIC RESEARCH




1.      Choose a research topic
2.      Formulate a research question and  testable hypotheses
3.      Conduct literature review
4.      Define the concepts
5.      Decide how to measure your variables (Operationalization)
6.      Collect data using qualitative and quantitative methods.
7.      Analyze and discuss your findings.
OPERATIONALIZATION
Look at the literature on the topic:
How did others opertaionalize it before you?
Are there ready-made scales?
Is there a ready data set that you can use?

If you need to create your own data set, what type of data do you need? The hypothesis should determine what type of data is necessary.

1.      Qualitative methods:
collect non-statistical findings
not generalizable: findings are not representative of a population.  
deep explanations: you get a very deep understanding of a small group of people’s perspectives, or a few cases.
When you are reporting results, you should not generalize.
Qualitative data accumulates and gives us very valuable information.
 It can be used in conjunction with quantitative data.

2.      Quantitative methods:
statistical data,
representative: the data represents a broader population (a school, a city, a nation, etc.) . It can be generalized to that population.
broad explanations: you get a superficial understanding about the whole universe.

MEASURING THE RIGHT THING:

1.      VALIDITY
Am I measuring the RIGHT THING? Am I measuring what I am supposed to be measuring? Or am I measuring something else?

Measuring democracy:
We can ask people, if they like democracy.  Let us say that 90% of the people in a country say that they like democracy. Does that mean that country is democratic? No. We are measuring the wrong thing.

2.      RELIABILITY
Am I measuring it CORRECTLY?
           
            Measuring Democracy
            To measure democracy, we look at the number of incarcarated journalists.
The government says that there are no incarcarated  journalists. However,  Journalists Without Borders say that there are 248 journalists in prison. Which data is more reliable? Which one are we going to use?

Measuring alcoholism:

Ask people how much they drink per week.
Reliability problem: people lie about how much they drink. OR They may not know how much they drink.


Literature Review

Literature Review

1.      Write a literature review on any topic of your choice.
2.      Your review should be a minimum of 200 words and maximum of 300 words.
3.      It should include a minimum 5 and maximum of 8 social science journal articles.
4.      No books, websites, news articles or other sources will be accepted. You are ONLY allowed to refer to social science journal articles.
5.      ALL of your sources should be in English. Sources in Turkish are not allowed.
6.      Read the literature review samples I handed out in class. Those are GOOD examples. You can find more examples in political science, sociology and psychology journals.


This is an excellent source on how to write a literature review. Read it very carefully before you write your literature review.

Also, have a look at this link:

And this:

Online Research



ONLINE RESEARCH:
There are many ways of conducting online research. Here are two common and practical methods:

METHOD 1:
STEPS
1.      Download Zotero as an extension or stand alone:

2.      Go to the databases on the IKBU library website:
http://www.kemerburgaz.edu.tr/egitim-hayati/liste.aspx?SectionID=kAR%2fUExqe98m13gkIePW2w%3d%3d

3.      Pick a database: e.g. JSTOR
http://www.jstor.org/

4.      Search one or more terms: e.g. TERRORISM

5.      Download the article on Zotero, if it is free: e.g.
                    Krieger, T., & Meierrieks, D. (2011). What causes terrorism? Public Choice,        147(1/2),         3–27.            
                    http://jpr.sagepub.com/content/48/3/339.full
6.      Choose from the articles that are cited in the article. Go to “References” section. Choose the ones that are relevant to your research. Click and download.

7.      Prepare an annotated bibliography.

METHOD 2:

STEPS:
2.      Search a term. E.g. terrorism
3.      Limit the dates. E.g. since 2000
4.      Choose an article.
5.      Click on cited by…
6.      Go to the page, where all the articles that cited this article are listed:
7.      Find the articles/books that are relevant to your research.
8.      You can reach some articles/books by clicking the links on Google Scholar. If you cannot, go to the IKBU library website.
9.      Search those articles on the library website. E.g.
Pape, R. A. (2003). The Strategic Logic of Suicide Terrorism. The American Political Science Review, 97(3), 343–361.