# Statistical Package for the Social Sciences (SPSS) Workshop/Training

Statistical Package for Social Sciences (SPSS) is a leading and powerful statistical software for statistical analysis. It has capabilities to execute a range of statistical analysis. Thus, this SPSS training/workshop aims to provide hand on skill on fundamentals to data entry, data management, data analysis and result interpretation using SPSS. The workshop covers everything from entering data into SPSS to interpreting the result and offers easy step-by-step guide to mastering the analysis. The most important skill that the workshop/training address is to enable the participant to choose the appropriate statistical technique to analyze data in SPSS.

# Who this course is for?

This SPSS training/workshop is targated for researcher, teachers and professionals who are looking for a clean idea to perform statistical works in SPSS. It is equally targeted to Ph.D, Masters and Undergraduate students for their Thesis or Dissertation work.

# Training/Workshop Outcomes

·         A proficient Human Resource (HR) to analyze statistical procedures in SPSS.
·         A proficient HR to interpret the output of several different statistical tests
·         A proficient HR to write the results of statistical analyses using APA format

# Course Highlights

The workshop will cover following contents.

# Introduction to fundamentals of SPSS

·         Installation
·         SPSS windows (Data, Syntax, Output)
·         Data properties (& Measurement Scales)
·         Creating and defining variables
·         Code book and data entry
·         Saving worksheets

# Creating and Modifying Dataset in SPSS

·         Inserting/Deleting cases and variables
·         Computing/Recoding variables
·         Find & replace
·         Sorting Cases
·         Selecting Case
·         Use feature split file
·         Use of filter variable

# Descriptive Statistics

·         Frequency distributions
·         Mean, Sum, Standard Deviation, Variance
·         Minimum Value, Maximum Value, and Range
·         Skewness
·         Kurtosis

# Graphical Representation

·         Bar Diagram
·         Line Diagram
·         Scatter Plot
·         Box Plot
·         Use chart editor

# Using SPSS Syntax

·         Basic Syntax Rules
·         Learning Syntax
·         Opening data using Syntax

# Inferential Statistics

• P-values
• Significance Levels

# Chi-Square Test

·         Chi-Square Test of Independence
·         Application of Chi Square distribution
·         Run a Chi-Square Test of Independence

# One Sample t Test

·         One Sample t Test
·         Run a One Sample t Test

# Paired Samples t Test

·         Paired Samples t Test
·         Data Requirements
·         Hypotheses/Test Statistic
·         Run a Paired Samples t Test

# Independent Samples t Test

·         Independent Samples t Test
·         Data Requirements
·         Hypotheses/Test Statistic
·         Run an Independent Samples t Test

# One-Way ANOVA

·         One-Way ANOVA
·         Data Requirements
·         Hypotheses/Test Statistic
·         Run a One-Way ANOVA

# Correlation

·         Pearson Correlation
·         Data Requirements
·         Hypotheses/Test Statistic
·         Run a Bivariate Pearson Correlation

# Regression

·         Linear Relation
·         Regression Slope
·         R-Square – Predictive Accuracy
·         Logistic regression

# Item analysis and Reliability test

·         P-value
·         D-value
·         Cronbach alpha correlation coefficient

# Workshop Structure

·       This 3-days workshop is easy to understand and is for everyone who is interested to learn SPSS. It goes as below day-wise.

#1 SPSS user Interface:
• Data editor
• Syntax
• Output
#1 Dataset is SPSS
• Variables
• Scale
#2 Data Management in SPSS
• split
• record
• case
• missing
# 2 Descriptive Analysis
• descriptive statistics
#2 Data Visualization
• Data Visualization
# 3 Inferential Analysis
• inferential statistics
• p value
• confidence interval