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Video Tutorials for Data Analysis

We are now lucky to have an online Data Analysis tool to help you explore our Caucasus Barometer data on Azerbaijan, Armenia and Georgia without any of your own data analysis skills.


However if you need more flexibility to manipulate and play with the data for your own research, an understanding of statistical packages like SPSS and STATA are invaluable. While at first sight they can look quite complicated, they are actually very easy when you know how!


To help you get started with SPSS, we have developed an SPSS Crash Course where you can learn in only 20 minutes about 80% of the tricks you need to work with the Caucaus Barometer data. You will be able to get both tables and graphical output through this statistical software, i.e. raw numbers and attractive graphs for presentations. Below you can find a series of 5 minute video introductions that will help you get started.


SPSS video tutorial


All you need to follow these tutorials is reasonably fast internet, and a browser with a Flash player.





Stage 1: Getting started with SPSS


1. Extracting basic numbers from the dataset

In this first video, Hans walks you through the basics of extracting numbers from the data set and seeing what it can tell us.


Watch the video


2. Doing more advanced analysis with SPSS


In this second video, we talk you through the next step - instead of just reading off frequencies and percentages from the data, we learn how to 'cross-tabulate'. This allows us to compare, for examples, the responses of different age groups, gender and regions to your question of interest.

Watch the video


3. Turning data into attractive charts

It's all very well finding the data you need, but in order to make sense of it we need to learn how to present it visually to make trends and insights clear. Here we show you how to do that in SPSS.


Watch the video


4. Making it pretty in Excel

For this tutorial we switch from SPSS back to Excel to show you how to turn your data into charts, graphs and other data visualisations.


Watch the video


5. Extracting data through syntax


Sound complicated? In fact it's not. We talk you here through how to use sytax to minimise 'point and click' work and make your data analysis easier.

Watch the video

Download Syntax file





Stage 2: More advanced handling of SPSS


You have done the basics, you can extract basic data and do some cross-tabulations. Now you want to make further steps into extracting data. Here, we give you an opportunity to explore further aspects of our data set. With these modules, you are getting onto track for confident SPSS usage.


1. Selecting Cases: Looking at Some Respondents, not All

How can you get data from just one country? If you want just rural respondents (or capital), how do you do that? Here we show you how to "select cases", in four minutes.


Watch the video

2. Splitting files: Comparing Different Groups

Now let's say you want to compare countries, or female and male respondents. How would you do that? It's called "splitting the file", and in five minutes you can use this on a fairly advanced level (comparing, say, male and female attitudes to religion in Georgia).

Watch the video


3. Recoding: Simplifying Complexity

Is the output you are getting too complex? Here is a great way of simplifying things: recoding variables allows you to group responses (such as: years of birth) in useful categories. An essential skills for SPSS, in about six minutes.


Watch the video


SDA Tutorials

1. Survey Documentation and Analysis (SDA) with South Caucasus Data | 1

This short video will help get you started to explore the data available through SDA. We will familiarize ourselves with some basic functions of the programme, including how to make cross-tabulations.


Watch the video

2. Survey Documentation and Analysis (SDA) with South Caucasus Data | 2

In this second SDA lesson we further explore the functions in programme, allowing you to fully take advantage of the rich information available. After this short lesson you will be able to analyze data to a subset of cases, for example by looking only at female respondents.


Watch the video






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