Data Analisys 2017-10-14T18:58:24+00:00

Data Analisys

Descriptive statistics are ideal when you simply need to record and report on the data you collected, whether it’s a laboratory experiment or a nationwide survey. We can analyze the survey data based on table shells (dummy tables) provided by the customer or we can propose a set of analysis if give us the research line your study must follow.

The Data Analysis is performed using the data from a Cleaned Dataset with all the necessary indicators previously calculated. To obtain the table results it is necessary to perform some recoding of variables, file splitting, dataset filtering and create some new variables.

Descriptive analysis includes univariate and bivariate analysis for different variables in a same table. We calculate descriptive statistics measures of central tendency, location and dispersion and the graphics according to them.

Inferential data analyses range from exploratory techniques to find relationships between the variables within your data to statistical hypothesis used to answer specific questions, either about what’s happening now or what might happen in the future.
We can perform inferential analysis comparisons as analysis of before/after, significant differences between groups, coefficient of association between variables. It includes parametric and non-parametric tests as t-test, ANOVA’s, Pearson correlations, Chi-square, among others.
In longitudinal comparative studies, in which a comparison between two datasets  is performed at different points in time, it will be necessary to merge these datasets to apply appropriate statistical tests. This Merging is included in the inferential analysis task and has the same requirements that a merging external data as it is described above.
The coodebook is the fundamental tool to understand a database. But the dataset needs to be in correspondence with the codebook. That’s why when we create a Codebook we do an appropriate labeling of the variable names and values of the dataset. So, the codebook task includes the labeling of the variables in the dataset.
The codebook is finished when the Final Dataset that has been obtained after performing all the Data Analysis calculations. So we can include a detail of all variables in the dataset: the original variables (from the questionnaire) and the new created variables.

We are committed to providing clear reports that are tailored to your needs. A client who requires all of the technical detail of an analysis so that they can implement it within their own software system, will obtain a very different report from one who needs to present a broad overview of the results to a non-specialist audience or senior management.

Depending on how you’d like to use your results you can choose from a number of different reporting methods. In addition to formal written reports, we can give a presentation in person or simply summarise our results in a letter or email.