Research Methodologies, Data Management and SPSS

Research Methodologies, Data Management and SPSS Course outline

Daily Activities:
Day 1
Basics of SPSS. Descriptive statistics, charts and graphs, hypothesis analysis, testing dependence/independence.
• Different levels of measure: scale, ordinal, nominal.
• Basic descriptive statistics. Measures of central tendency: mean, median, mode. Measures of dispersion: range, standard deviation, variance.
• Graphs and charts: bar chart, pie chart, histogram, scatter plot. Which of them should be used in different situations?
• Hypothesis analysis with SPSS. Testing dependence/independence, Pearson’s chi-square. Levels of significance.
Day 2
SPSS in practice, some useful tips. The “tricks” of dependence/independence testing
• Converting different types of files into “.sav” files. How can one enter raw data into SPSS efficiently, how to label the data.
• Transforming the data.
• Multiple independence analysis - a useful way to circumvent “significance level problems”.
• Elementary principal component analysis.
Principal Component Analysis with SPSS.
• Definition and meaning of the principal component.
• Communalities, extraction, variance.
• Usability of the method (the cases of scale and ordinal measures).
• Information content and the distribution of the principal component.
• Omission of variables with insufficient communalities.

Day 3
Factor Analysis with SPSS using a “real example”.
• The factor matrix and its interpretation.
• The Maximum Likelihood method. Repairing the model.
• Factor rotation and the varimax method.
• Omission of variables belonging to more than one factor, the appearance of latent variables.
• Establishing factor scores. Statistics of factor scores.
• When the factors explain more than 100%. A common pitfall.
Explanatory models. Analysis of Variance, Regression Analysis.
• Using SPSS for Analysis of Variance (ANOVA)
• Twofold ANOVA, interaction.
• Linear regression analysis. When should we accept a regression line?
• Two variable regressions.
Day 4
Charts and tables
• Simple charts: bar, pie, histogram
• Compound charts, chart builder
• Chart editing, 3D effects, color and fill
• Adding special effect to charts, jittering, plethora of graphs
• Saving and manipulating tables

Day 5
SPSS Syntax
• Syntax files
• The syntax editor
• Writing syntax using the Log
• Open up SPSS files using syntax
• Define variables using syntax
• Create compute and autorecord procedures
• Create simple and multiple IF and DO-IF statements

Duration:
5 Days
Venue:
Juba, South Sudan
Investment:
599 USD
Investment Covers:
• Training
• Training Materials
• Certificate
• Lunch and refreshment
• Visa
Confirmed Date:
August 01,2016
Contacts:
For more information: info@rokyan.com
For direct admission: registration@rokyan.com
WhatsApp/Viber: +93 77 18 48 147
Skype: rokyanmc
www.rokyan.com
http://rokyan.com/data-management-spss