Research Gateway offers expert solutions for completion of statistical analysis of data through its Statistics Help service. One of the most important and popular statistical package for social sciences is SPSS. Scholars can get detailed help with SPSS by us for completing their dissertation, thesis or assignments. SPSS help is the service available from Research Gateway which offers data collection, data mining, and data analysis using SPSS. We use the latest version of SPSS tool to ensure that the researchers get the most accurate and appropriate results.

SPSS help provided by Research Gateway ensures that you understand usage of the statistical tool. We follow Blended learning pedagogy in our service of Dissertation SPSS Help. This helps us to go one step further in conducting the data analysis, by explaining the statistical concepts as well as all the steps used. We provide real world ideas, references, patient explanations, multiple examples and intuitive approach to make you understand the use of research methods and SPSS.

SPSS help provides complete tutorial for using the tool. Our expertise in SPSS usage comes from the fact that we have completed over 170 hours of online training of SPSS v17. The training course for SPSS is comprehensive and starts from basics of research methodology. Because of our expertise, we realise that the most important element in SPSS help often overlooked by many scholars is the analysis or comprehension of statistical output produced by SPSS. So we explain that the first step is to copy the output screen of SPSS into word file.

Our statisticians identify the reason for using a particular statistical test and provide the rationale to the researcher for the same. SPSS help service offered by Research Gateway has had over 98% success rate in completion of the SPSS and statistical analysis work. All statistical tests including the following can be formed using SPSS:

‘T’ Test.
Anova
Mancova
Linear Regression
Correlation
Regression.
Mann Whitney
Cron Bach Alpha
Bon Ferroni
Co-linearity
Data normality
Principal component analysis
Structured equation modelling
Discriminant analysis

Sample linear regression output

The regression coefficients are shown in the section of output shown below in the column titled 'B' of the coefficients table.

Model Unstandarized Coefficients Standarized Coefficients 1 Size
B Std. Error Beta
Constant Family Size 2.871 1.029 .866 2.792 .032
.971 .229 4.250 .005

a. Dependant variable Number of credit cards