easy to browse your results, selectively show and hide output, between SPSS and other applications. Spearman Rank order correlation Chi-square for independence Mann-Whitney Test Wilcoxon Test Kruskal-Wallis Test Assignment on Data processing using SPSS tests Amesterdam: Elsevier IncĦ Assessment Examination 45% Project assignments 50% Participation %Ĩ SPSS Contents Design of data entry Data entry in SPSSĭata Editing in SPSS Data Analysis with Descriptive statistics Inferential statistics Parametric tests Assumptions Pearson Correlation T-test ANOVA Regression (Linear and Logistic regression) Data Mining Practical Machine Learning Tools and Techniques, 2ed. Dordrecht: Springer International Publishing Witten, I. Asheboro: Statistical Associates Publishing Aggarwal, C. Partial Least Squares: Regression and Structural Equation Models. Partial Least Squares Structural Equation Modeling (PLS-SEM) Techniques Using SmartPLS, Marketing Bulletin, 24, Technical Note 1 Garson, G. SPSS SURVIVAL MANUAL: A step by step guide to data analysis using SPSS for Windows Wong, K.
SPSS version 20 or later Smart PLS version 3.5 or later Weka version 3.6 or later or R End Note Web Server such as Apache or Wamp Content Editor Software like Python/PHP, etcĥ References Pallant, J. Hands on practice in the computer lab Case and paper reviews Projects with reports Software for creating footnotes and bibliographies such as EndNote or Mendeley, RefWorks, StyleEase, etc.ģ Teaching Strategy Lecturing on some core concepts Business intelligence and reporting tools such as BIRT, JasperReport, and Pentaho.
Data mining tools such as Weka or RapidMiner (formerly known as YALE), NLTK, etc. Student are expected to acquire skills in Quantitative/statistical data analysis using Software SPSS and Smart PLS Qualitative Data Analysis using Nvivo or ATLAS.ti, HyperRESEARCH, MAXQDA, and Qiqqa. Presentation on theme: "Information Systems Workshop"- Presentation transcript: