Statistical Analysis

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We offer services and support in data management and statistical analysis, in order to give you clear answers to all your research questions. 

With data management and robust statistical procedures we analyze your data and give you all answers needed, with softwares R, SPSS Statistics, G-Power, EViews and SPSS AMOS.

With several operators and functions from R or SPSS we sorting and merging datasets, aggregating data, select, recode and transform data, which includes creating new variables (including recoding and renaming existing variables).

We do statistical data analysis from several fields, such as health, psychology, sociology, social sciences, marketing and business, engineering and mathematics.

We apply robust procedures and accurate models to test hypotheses, forecast future trends and contribute to build and share knowledge.

Combining quantitative and qualitative analysis techniques, different software’s and specific tools we answer to all your research questions.

From data to scientific implications: We report and interpret all the results!

Technical rigor, robust procedures and the answers you are looking for in clear language!

Samples, Effects and Power:

  • Definition of sample dimension
  • Effect size
  • Power analysis

Exploratory Analysis:

  • Descriptive Statistics
  • Frequencies and Crosstabs
  • Normal Distribution and Z-scores

Parametric Assumptions:

  • Kolmogorov-Smirnov and Shapiro-Wilk tests to evaluate the normality of distributions
  • Levene and Bartlett’s tests to evaluate the homogeneity of variances
  • Histogram and Boxplot analysis.

Parametric Tests:

  • One sample Students’ t test
  • The Two-sample Students’ t test
  • The paired Students’ t test
  • One-way Analysis of Variance (ANOVA)
  • Post-Hoc Tests to multiple comparations of means.

Analyzing Categorical Variables:

  • Chi-squared test for goodness of fit
  • Chi-squared test for independence
  • Other association statistics: Exact Fisher’s test, Likelihood Ratio test, Phi, Contingency an Cramer’s V Coefficients.

Non Parametric Tests:

  • Mann-Whitney U Test
  • Kruskal-Wallis Test
  • Wilcoxon Signed Rank Test.

Correlation and Regression Analysis:

  • Partial Correlation
  • Simple and multiple linear regression analysis
  • Regression and Residual Diagnostics
  • Interaction, mediation and moderation effects
  • Scatter plot
  • Estimations and Predictions.

Multivariate Analysis:

  • Generalized Linear Models
  • Logistic or Binomial Regression (modelling binary or proportion data)
  • Measures and criteria’s evaluation models
  • Exploratory Factor Analysis
  • Principal Component Analysis
  • Correspondence Analysis
  • Multidimensional Scaling
  • Cluster Analysis
  • Bootstrapping
  • Longitudinal Analysis
  • Survival Analysis
  • Time Series Analysis
  • Bayesian Inference
  • Path Analysis.

Our team members are statistical and mathematicians professionals, with hight skills and experience.

We applied different statistical methods according to your goals.

For more questions and to ask for a budget proposal, please sent us an e-mail to: geral@cyphercategory.com

We will answer you soon.