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SPSS Help Services

Importance Of SPSS

SPSS (statistical package for social sciences) is a very important tool that can help with any kind of statistical analysis. Majority of theses and dissertations require students to use SPSS tools as they need to examine data, but not all of them have time and skills necessary to use this package properly. At the same time many researchers and scientists also need to use SPSS to assess data and they too don’t have time and/or knowledge in using this software. This is where SPSS Help comes into play. If you will turn to SPSS Help, we will make sure that you will receive the most accurate results, because we employ degreed and licensed statisticians who know everything about SPSS and its usage. We have the latest version of SPSS tools, so by turning to us you can rest assured knowing that you will get premium quality assistance.

Services Offered At SPSS Help

SPSS gains importance among students and scholars, because it is easy to use, flexible and very reliable software to perform a wide variety of statistical tests. Here are the types of statistical analysis that SPSS Help Company can provide you with:

  • Chi-square analysis;
  • Reliability analysis – Cronbach’s alpha;
  • Time series analysis;
  • Exploratory analysis – (Kolmogorov-Smirnov test), outliers, standard deviation, mean, standard error of mean, skewness, minimum, maximum, confidence interval;
  • Regression, logistic regression, multiple regression;
  • T-test, ANOVA, ANCOVA, General Liner Model, Repeated measure design;
  • Correlation test (Bivariate: Pearson correlation,Kendall’s Tau, Spearman rank, simple scatter plot, partial correlation);
  • Forecasting analysis (manpower planning, sales, etc;
  • Non-parametric Test (Wilcoxon Signed Rank Test, Mann-Whitney Test, The Kruskal Wallis Test, Multivariate Analysis of variance;
  • Factor analysis;
  • Confirmatory Factor analysis;
  • Discriminatory analysis;
  • Structural Equation Model;
  • Neural Network;
  • Decision Tree analysis;
  • Perceptual Mapping;
  • Marketing analysis.

 

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