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
·
Saving your work
·
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
- Variables
- Scale
- split
- record
- case
- missing
- descriptive statistics
#2 Data Visualization
# 3 Inferential Analysis- Data Visualization
- inferential statistics
- p value
- confidence interval
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