Now, let’s move from this simple example to the Caucasus Barometer. When selecting respondents for the CB, CRRC first divides the country into nine geographic divisions: the capital, urban-northeast, urban-northwest, urban-southeast, urban-southwest, rural-northeast, rural-northwest, rural-southeast and rural-southwest. Within each of these nine groups, nine separate samples of voting precincts are randomly selected. Households are randomly selected within each selected voting precinct. Then, a single adult respondent is randomly selected within each selected household.
How do we calculate the sampling weight of a CB respondent? First we calculate the probability that the respondent was in our sample. There are three steps to this process since there are three stages of random selection. Suppose that a respondent is a woman who lives with her husband, her husband’s mother and father, and her two young children in an apartment in voting precinct #2 of district #3 in Saburtalo. Voting precinct #2 of district #3 has 624 households and 18 interviews will be completed there. Tbilisi has 712 voting precincts in total, of which 50 are selected for sampling.
The first step is to calculate the chance that the woman’s voting precinct was selected for sampling, which is 50 in 712. The second step is to calculate the chance that her household was selected once her voting precinct had already been selected, which is 18 in 624. The third step is to calculate the chance that the woman herself was selected once her voting precinct and household had been selected, which is one in four—the four being the four adult members of her family. We can put those three selection probabilities together by multiplying them. This gives us the chance of this woman being interviewed:
The number of adult Georgians that she represents can be calculated as
Individuals living in different regions of the country, in different voting precincts, and in different size families have different probabilities of being selected for the sample. Thus, they have different sampling weights. Therefore, it is important to use an appropriate data analysis program and to use the sampling weights when making estimates about the greater Georgian population from the CB sample.
Tuesday, March 29, 2011
Ask CRRC | Sampling Weights II
Posted by Lucy Flynn at 10:33 AM 0 comments
Friday, March 25, 2011
Ask CRRC | Sampling Weights I
Q: In the posting on representativeness, you said that every member of the population must have some chance of being selected for the sample. In the next posting about sample size, your Rustavi example had every member of the population with an equal chance of being selected. What if everyone has a chance, but not an equal chance? In this case, is it possible to make a sample be representative of the population?
A: This is very important question! The short answer is yes—the sample can be representative of the population, but you need to do a little extra work. Let’s use a simple example:
Suppose we are interested in comparing the experiences of male and female students in an engineering program. The program has 800 men and 200 women. If we randomly select a sample of 200 students (20% of the total student population in the engineering program), then we should expect only about 40 women in our sample. Suppose we randomly select 100 men and then randomly select 100 women. This means that every man has an equal chance of being selected for the sample and every woman has an equal chance of being selected, but every student did not. If we want to use the responses of the men to say something only about male students or the responses of women to say something only about female students, then we can do this using some simple formulas from statistics. However, what if we want to use of all of the information that we have to say something about the entire population of students?
In this case, different members of the population have different chances of being selected. Every man has a 1 in 8 chance of being selected, while every woman has a 1 in 2 chance. We can turn this around and say that every man who is interviewed represents 8 people including himself and every woman who is interviewed represents 2 people including herself. This is what is known as a sampling weight – every man in the sample has a sampling weight of 8, while every woman in the sample has a sampling weight of 2:
We need to utilize sampling weights when making estimates about an entire population. This means that we need to use different statistical formulas than the simple ones used above. We also need to use a computer program that has built-in functions to make estimates about populations using data with sampling weights (e.g., SPSS for estimates or STATA for estimates and associated margins of error). As long as we do that, then our sample is still representative of our population even though every member of the population did not have the same chance of being selected for an interview.
Posted by Lucy Flynn at 3:32 PM 0 comments
Labels: Ask CRRC, sampling weights, selection probabilities
Data on access to justice in Central Asia now available
Posted by Therese Svensson at 2:32 PM 0 comments
Thursday, March 24, 2011
Conference Summary | "Building Turkish Awareness of Armenian Genocide"
Posted by Nana at 4:33 PM 0 comments
Wednesday, March 23, 2011
E-transparency in Georgia: A key to faith in democracy?
Posted by Anonymous at 4:55 PM 0 comments
Labels: Democracy, Government, Internet, Transparency
Tuesday, March 22, 2011
Transparency International Georgia launches platform to fix your street
Posted by Therese Svensson at 10:52 AM 0 comments
Labels: Georgia, Information, Transparency International
Monday, March 21, 2011
Georgians on Abkhazia: What Is to Be Done?
Posted by Nana at 9:56 AM 0 comments
Labels: Abkhazia, Attitudes, Georgia, Internally Displaced Persons
Saturday, March 19, 2011
Spreading the News: File Sharing through Mobile Phones in Armenia
Thursday, March 17, 2011
IDPs in Georgia – Attitudes towards return, conflict resolution and justice
Posted by Therese Svensson at 2:57 PM 0 comments
Labels: Abkhazia, Georgia, Internally Displaced Persons, Survey
Friday, March 04, 2011
Understanding Georgian EUphoria: I am Georgian, therefore I am European! But am I also then an EU supporter?
Georgians are in a state ‘EUphoria’. That is one of the claims made by academic Martin Muller in his article entitled “Public Opinion Toward the European Union in Georgia” in the latest edition of Post-Soviet Affairs (2011 27,1 pp. 64-92). Data used in this article are based on a 2009 CRRC survey called “Knowledge and Attitudes Towards the EU”. With 77% of the population in favor of EU membership, positive attitudes to the European Union (EU) in Georgia ‘dwarfs’ those in the other countries that constitute the EU’s Eastern Partnership – Armenia, Azerbaijan, Belarus, Moldova and Ukraine. Given this ‘Euro-enthusiasm,’ Muller’s paper asks: What are the determinants of positive attitudes to the EU amongst Georgians?
Muller explores a range of possible explanatory factors for pro-EU attitudes in Georgia including socio-cultural background (age, sex, education, ethnicity), economic situation, knowledge of the EU, political beliefs, cosmopolitanism (foreign languages, study abroad etc.), instrumental gain from closer ties to the EU, and attitudes to Russia. Conducting a multivariate regression of CRRC data the study isolates key predictors of pro-EU attitudes. The results turn up some surprising relationships between the variables that will be potentially of interest to the wider public as much as to policy-makers.
For one thing, on Muller’s analysis, late Prime Minister’s Zurab Zhvania’s proclamation that ‘I am Georgian, therefore I am European’ does not translate into ‘I am Georgian, therefore I am European and therefore an EU supporter’. In fact, Muller’s conclusions suggest that cultural identification with Europe is a weaker predictor of EU support than a range of other factors. What are these factors? A fear of Russia? Economic status? Support for the ruling party? To find out the answers to these questions, the article can be accessed at:
http://crrccenters.org/activities/publications/.
Posted by Gavin Slade at 10:11 AM 0 comments
Thursday, March 03, 2011
Armenia Civil Society Index | 2009 Findings
In 2009, Counterpart International Armenia was given the rights by CIVICUS to use their methodology to conduct a public opinion survey and measure the Civil Society Index (CSI) in the Republic of Armenia. On February 22nd, Counterpart International Armenia presented the respective report.
According to CIVICUS, 'the two primary goals of the CSI are to enhance the strength and sustainability of civil society, and to strengthen civil society’s contribution to positive social change' ('Introduction to the CSI', http://www.civicus.org/csi).
The CSI assessment combines multiple indicators to provide a visual display of five following key dimensions:
1. Civic Engagement: 'The extent to which individuals engage in social and political initiatives.'
2. Level or Organisation: 'The degree of institutionalisation that characterises civil society.'
3. Practice of Values: 'The extent to which civil society practices some core values.'
4. Perceived Impact: 'The extent to which civil society is able to impact the social and policy arena, according to internal and external perceptions.'
5. External Environment: 'The above four dimensions are analysed in the context of "external environment", which includes the socioeconomic, political and cultural variables within which civil society operates (CIVICUS Civil Society Index, 'Armenian Civil Society', Analytical Country Report, 2010. pp. 6.).
The five key dimensions are plotted in order to produce the 'Civil Society Diamond diagram'. Armenia's 'Civil Society Diamond diagram' looks like this:
What the diagram shows is that, while Armenia's dimensions of 'Level of Organisation', 'Practice of values' and 'External Environment' demonstrate similar levels of development, the dimensions of 'Civic Engagement' and 'Perception of Impact' are lacking (CIVICUS Civil Society Index, 'Armenian Civil Society, CIVICUS Civil Society Index, 2010. pp. 6.).
According to the study, the weak score for 'Civic Engagement' is due to the lack of participation in civil society by the civilian population. Despite this, those who do participate do so 'frequently and extensively'. Also worth noting is that the 'Practice of Values' dimension shows a 'considerable level of internalisation and promotion of values in Armenian civil society'. The 'Perception of Impact' dimension is the lowest score and the 'External Environment' dimension continues to be obstructed by corruption and lack of devotion to the rule of law, according to the report (CIVICUS Civil Society Index, 'Armenian Civil Society', 2010. pp. 7.).
While presenting the report, Lusine Hakobyan, lead CSI coordinator for Counterpart International, acknowledged the local and international organisations that joined in evaluating the state and trends of Armenian civil society. Particularly, thanks were addressed to CRRC-Armenia for assisting with the sampling for the public opinion survey throughout Armenia.
The event was attended by H.E. Ambassador Marie Yovanovitch of the Embassy of the U.S.A., who gave the keynote address. The report was officially launched by the Head of Office for Security and Cooperation in Europe Office in Yerevan, Ambassador Sergey Kapinos. The study was implemented by Counterpart International with support from USAID, CIVICUS World Alliance for Civic Participation, OCSE office, UNDP, Civic Development and Partnership Foundation, NGO Center/northern branch, Partnership and Teaching NGO, Professionals for Civil Society NGO, the Caucasus Research and Resource Centers, Black Sea Trust for Regional Cooperation and Antares Holding.
Further, Counterpart International-Armenia partnered with the Third Sector Foundation of Turkey (TUSEV) to develop another comparative study, which compliments the CIVICUS CSI country analytical reports of Armenia and Turkey. The study was conducted in the framework of the Cross Border Cooperation Initiative supported by The Black Sea Trust for Regional Cooperation, a project of the German Marshall Fund of the United States.
- 'Armenian Civil Society' from Transition to Consolidation', CIVICUS Civil Society Index, Analytical Country Report, 2010.
- 'Introduction to the CSI', http://www.civicus.org/csi.
- 'The Two Diamonds: Comparative Study of the State of Civil in Armenia and Turkey', Counterpart International/Armenia and Third Sector Foundation/Turkey, 2010.
Posted by Ben Bronstein at 9:55 AM 0 comments
Labels: Armenia, Civic Engagement, Civil Society, Turkey
Wednesday, March 02, 2011
Ask CRRC | Sample Size
Q: In the last posting you said that in order for the sample to be representative of the entire population, every member of the population had to have some chance of being selected for the sample. However, you didn’t say anything about sample size. Doesn’t sample size matter?
A: As long as the sample size is not tiny, then the sample can be representative of the population – having 200 respondents or 2,000 respondents does not make a difference in whether you can call the sample representative of the population. Where sample size does make a difference is in how accurate your conclusions about the population of interest will be. Let’s explain what that means with an example:
Suppose we are interested in the population of voters in Rustavi and that we are interested in the proportion of residents who find the availability of gas to be an important local issue. We take a list of the 98,492 registered voters in Rustavi and randomly select a sample for interview. Now, let’s imagine two different scenarios: In the first, we randomly select 200 respondents and interview them. In the second, we randomly select 2,000 respondents and interview them. Now, imagine that in the first scenario, 64 respondents mentioned the availability of gas as an important local issue and 138 did not. Imagine that in the second scenario 640 respondents mentioned it and 1,380 did not. Because 64/200=0.32 and 640/2,000=0.32, in both scenarios exactly 32% of the respondents said that the availability of gas is an important local issue.
Both of these samples are representative of the population of Rustavi because every resident had a chance to be in the sample. In both cases, our best estimate of the proportion of Rustavi residents who consider the availability of gas to be a major issue is the same. This is the proportion that we encountered in each sample: 32%.
However, the two different sample sizes allow us to say two different things about the greater population of Rustavi. This is because in general the larger the sample size, the smaller the margin of error. The margin of error tells us how wide the range is within which we are sure that the true value for the entire population lies. For example, in the first scenario, using statistical formulas we can calculate that there is a 95% chance that the proportion of the entire population of 98,492 registered voters that considers the availability of gas to be an important issue is between 25.5% and 38.5%. However, in the second scenario, our calculations will tell us that we can be 95% confident that the proportion is between 30% and 34%.
That is, in the first scenario, we were 95% confident that the proportion was between 32% - 6.5% and 32% + 6.5%. In the second scenario, we were 95% confident that the proportion was between 32% - 2% and 32% + 2%. In other words, in the first scenario, the margin of error is 6.5% and in second scenario the margin of error is 2%. To conclude, different sample sizes can still be representative of a population. However, the margin of error varies with respect to the sample size and can tell us how accurate conclusions are about the population of interest.
Posted by Lucy Flynn at 12:56 PM 0 comments
Labels: Ask CRRC, margin of error, sample size