Service Description

We have a wide network of statisticians, econometrics specialists and mathematicians for performing a wide spectrum of statistical tests in SPSS — from simpler correlations to advanced inferential statistics. The scope of work includes the following: 1. Converting your data into numeric form where necessary; 2. Merging all the data into a database; 3. Preparing an SPSS data file, for analysis of nominal, ordinal, interval or ratio data; 4. Performing a quality assessment on the SPSS data file to ensure data capturing accuracy and reliability; 5. Performing the following tests to align with your research objectives and generate answers for your study. I.e., analyses will be prepared to answer your research questions as fully possible, using the following tests (as per the statisticians’ discretion): a. Running reliability analysis (Cronbach's Alpha) and tests for normality (Kolmogorov-Smirnov), where necessary; b. Running chi-square analysis where required, to check whether the responses are random. c. Running t-test analyses on the data, where required, to observe whether means between the samples differ; d. Running ANOVA where required (One-Way ANOVA, Mann-Whitney U-test, or Kruskal Wallis (K-W) test), where necessary and where appropriate, to observe whether means between the variables differ. e. Running Correlation analysis (Pearson’s, Spearman’s, Kendall’s) where necessary and appropriate, to observe whether correlations exist between the variables. f. Running regression analysis (Linear, binary logistic, or multinomial logistic) where required, and where possible, to observe effect sizes, and to allow inferences to be made from the data. Any accompanying assumption tests for homoscedasticity, normality, etc. will also be performed. 6. Writing a short (1 page) report in text or on Excel file, presenting an interpretation of the results.