Survey Data Analytics using SPSS

Learn the key features of parametric and nonparametric statistical tests. Also learn which test to be used on data collected from different measurement scales.

Learn the inter relation among measurement scales, data types, statistical analysis, and statistical tests.

Learn how to draw graphs and charts using SPSS. Also learn about different graphs and charts options available in SPSS.

Learn how to edit SPSS graphs and charts in MS Word. From this lecture you will learn how to copy and paste SPSS graphs and charts in MS Word compatible and edit them in Word file.

Learn how to create frequency distribution tables on single variable and multiple variables along with graphs and charts using SPSS.

Learn how to edit frequency distribution table created in IBM SPSS using MS Excel and MS Word.

Learn how to create Crosstabs using IBM SPSS. Crosstabs are created on bivariate data sets.

Learn how to edit Cross Tabulations created in IBM SPSS using MS Excel and MS word.

Learn about one sample sign test, its calculation and interpretation. One sample sign test is used to identify the trends in the data and helps to check equality of the distribution.

Learn how to analyze one sample Wilcoxon signed rank test in SPSS. Wilcoxon signed rank test helps you to measure the size of the difference between median score and the observed score.

Learn how to run one sample runs test in IBM SPSS. One sample runs tests allows you to check the assumption of randomness statistically.

Learn how to evaluate whether there is a statistically significant difference between observed scores and expected scores in a one sample population using chi square test.

Learn how to evaluate whether two sets of data are significantly different from one another using K-S test. K-S test is performed on Ordinal Data.

Learn how to test significant difference between two qualitative variables that are measured on a nominal scale using Chi Squared test for two independent samples using IBM SPSS.

Learn to evaluate differences between two discrete dichotomous variables, where responses of two independent groups fall exclusively into one category or the other using SPSS.

Learn how to test whether two independent groups differ in central tendencies using Median Test for Two Independent Samples with the help of SPSS.

Learn how to test whether two independent groups have been drawn from the same population in IBM SPSS.

Learn how to test whether two independent samples have been drawn from the same population or from populations with the same distribution using SPSS.

Learn how to examine the extent of change in scores from participant responses under one condition or time to a second condition or time, for example, in pretest and posttest situations or before and after situations.

Learn how to determine whether there is a median difference between paired or matched observations using sign test for related samples in SPSS.

Learn how to measure relative magnitude as well as the direction of the differences and compare two sets of scores that come from the same participants.

Learn how to compare the medians of three or more samples on one dependent variable with the help of Kruskal Wallis Ranks Test for K independent samples.

Learn how to compare the medians of multiple independent samples for data measured on an ordinal scale or higher and when there are outliers in the data set using Extended Median test.

Learn how to determine the significance of the difference among k independent groups measured on nominal or ordinal scale using Chi Square Test for K related samples.

Learn how to test whether three or more matched sets of frequencies or proportions differ significantly among themselves using Cochran's Q test for K related samples.

Learn how to test for differences between groups when the dependent variable being measured is ordinal scale using Friedman Ranks Test.

Learn how to test an agreement between subjects (interrater agreement) when dependent variable is measured on nominal, ordinal, interval, and ratio scale.

Learn how to measure strength of association between two variables containing nominally scaled data using Contingency Coefficient.

Learn how to measure the relationship between two variables measured on an interval or ratio scale using Spearman's rank-order correlation coefficient.