Statistical analyses & Data analyses

At Statisticaia, our expert team is ready to provide you with the appropriate statistical and data analyses for your research paper, to be submitted to a journal, a seminar paper, thesis or PhD dissertation. We also provide data analyses for companies and marketing campaigns. Our team specialize in multiple Programs and languages including: SPSS, R, JASP, Stata, Matlab & Python.

Even if you aren’t sure which analyses you need, we are here to guide you the ones that best fit your needs. Click here for a list of analyses that we already provided for previous customers.

Contact Us

At STATISTICAIA, our expert team is ready to provide you with the appropriate statistical and data analyses for your research paper, to be submitted to a journal, a seminar paper, thesis or PhD dissertation. We also provide data analyses for companies and marketing campaigns. Our team specialize in multiple Programs and languages including: SPSS, R, JASP, Stata, Matlab & Python.

Even if you aren’t sure which analyses you need, we are here to guide you the ones that best fit your needs. Click here for a list of analyses that we already provided for previous customers.

Contact Us

Analyses we did for previous customers

Descriptive statistics

Descriptives (e.g., means, standard deviations, range) Including tests for distributions and normality.

T-tests

Independent samples, dependent/paired, one sample t-test.

Reliability tests

Cronbach alpha, split-test reliability, equivalent reliability, test-retest reliability.

Effect Size

(Based on the specific analysis).

Regression

Simple, multiple, hierarchical, logistic, non-linear regression, regression with dummy variables, Multinomial logistic regression, Homoscedasticity test and multicollinearity tests, Models of moderation and mediation through PROCESS, JASP, SAS, STATA, R.

Relationship tests between variables

Pearson, Spearman, partial correlations, multiple correlations, Chi-square tests (including: Cramer’s v and Phi), Man Whitney, Wilcoxon Canonical.

Analysis of Variance tests

– One-factor, two-factors, multi-factor (Factorial ANOVA), Repeated measures. Analyses of Variance with several dependent variables – MANOVA, Analysis of Covariance (ANCOVA), Multivariate Analysis of Covariance (MANCOVA), Post-hoc analysis – TUKEY, SCHEFFE, Bonferroni corrections and others.

Advanced Analyses

Confirmatory Factor Analysis, Exploratory Factor Analysis, Discriminant Analysis, Cluster Analysis, Survival Analysis, Structural Equation Modeling, Principal Component Analysis (PCA) and others.

Effect Size

(Based on the specific analysis).

Regression

Simple, multiple, hierarchical, logistic, non-linear regression, regression with dummy variables, Multinomial logistic regression, Homoscedasticity test and multicollinearity tests, Models of moderation and mediation through PROCESS, JASP, SAS, STATA, R.

Relationship tests between variables

Pearson, Spearman, partial correlations, multiple correlations, Chi-square tests (including: Cramer’s v and Phi), Man Whitney, Wilcoxon Canonical.

Advanced Analyses

Confirmatory Factor Analysis, Exploratory Factor Analysis, Discriminant Analysis, Cluster Analysis, Survival Analysis, Structural Equation Modeling, Principal Component Analysis (PCA) and others.

Analysis of Variance tests

– One-factor, two-factors, multi-factor (Factorial ANOVA), Repeated measures. Analyses of Variance with several dependent variables – MANOVA, Analysis of Covariance (ANCOVA), Multivariate Analysis of Covariance (MANCOVA), Post-hoc analysis – TUKEY, SCHEFFE, Bonferroni corrections and others.

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      Data file/s


      Research proposal


      Additional files

      T-tests

      Independent samples, dependent/paired, one sample t-test.

      Descriptive statistics

      Descriptives (e.g., means, standard deviations, range) Including tests for distributions and normality.

      Reliability tests

      Cronbach alpha, split-test reliability, equivalent reliability, test-retest reliability.

      Effect Size

      (Based on the specific analysis).

      Regression

      Simple, multiple, hierarchical, logistic, non-linear regression, regression with dummy variables, Multinomial logistic regression, Homoscedasticity test and multicollinearity tests, Models of moderation and mediation through PROCESS, JASP, SAS, STATA, R.

      Relationship tests between variables

      Pearson, Spearman, partial correlations, multiple correlations, Chi-square tests (including: Cramer’s v and Phi), Man Whitney, Wilcoxon Canonical.

      Advanced Analyses

      Confirmatory Factor Analysis, Exploratory Factor Analysis, Discriminant Analysis, Cluster Analysis, Survival Analysis, Structural Equation Modeling, Principal Component Analysis (PCA) and others.

      Analysis of Variance tests

      – One-factor, two-factors, multi-factor (Factorial ANOVA), Repeated measures. Analyses of Variance with several dependent variables – MANOVA, Analysis of Covariance (ANCOVA), Multivariate Analysis of Covariance (MANCOVA), Post-hoc analysis – TUKEY, SCHEFFE, Bonferroni corrections and others.