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Statistics in SPSS
Lecture 2
Petr Soukup, Charles University in Prague
Intro to SPSS
Intro to SPSS

Full name: IBM SPSS Statistics (hereinafter
only „SPSS“)

Current version 23

Base and 14 add-in modules

Widespread mainly in applied research (market
research and public opinion research)

Advanced graphics – objects, Java
SPSS windows and data files

Data file : *.sav

Output file : *.spv

Syntax file : *.sps

Macro file : *.spm
FOR OUR COURSE
ADVANCED COURSE
SPSS windows and data files

Data file : *.sav
– Include data, variable names, variable labels, value
labels, missing values etc.
– Transferable across SPSS versions 

Output file : *.spv
– Include tables, charts and all outputs created by SPSS
– Can be read only by current version 

Recco: Export output to MS Excel or MS
WORD and use it for other purposes
Intro to SPSS menu I

File – classsical tool, but with many file types

Edit – once again classical

Data – basic settings for your data

Transform – basic changes (transformations) for your
data

Analyze – all statistical procuders grouped into blocks

Graphs – all statistical charts
Intro to SPSS menu II

Help – many tools for your development

Tutorial & Case studies – many examples with
screenshots (can be computed by every user as data for
these studies are available together with software)

Statistics coach – can help you to select proper statistical
procedure

Algorithms – all formulas for computation
Intro to SPSS menu

File – classsical tool, but with many file types

Edit – once again classical

Data – basic settings for your data

Transform – basic changes (transformations) for your
data

Analyze – all statistical procuders grouped into blocks

Graphs – all statistical charts
Data matrix
Data matrix (Data view)

Cases – every row

Variables – every column

Variable ≠ Question

Variable name – name of current column
Data matrix (Variable view)

Variables – every row

Variable property – every column

Properties:
–
–
–
–
–
–
–
–
Name (variable name or technical name)
Type
Width
Decimal
Label (variable label) – i.e. wording of the question
Values (value labels) – i.e. wording of ind. Answers (codes)
Missing (missing value definition)
Measure (measurement scale – nominal, ordinal, ...)
Data matrix (Variable view)
Properties:








Name (variable name or technical name)
Type
Width
Decimal
Label (variable label) – i.e. wording of the question
Values (value labels) – i.e. wording of ind. Answers
(codes)
Missing (missing value definition)
Measure (measurement scale – nominal, ordinal, ...)
Example of data entry

Enter three variables and all necessary properties
Descriptive statistics in SPSS

Procedure ANALYZE-DESCRIPTIVE STATISTICSDESCRIPTIVES

Mean
Standard deviation
Max. and min.
N - number of cases



Descriptive statistics in SPSS

Procedure ANALYZE-DESCRIPTIVE STATISTICSFREQUENCIES

Mean
Mode
Median
and many others (see option Statistics – next lecture)



Charts in SPSS

GRAPHS-CHART BUILDER

Bar chart

Pie chart

Special charts will be discussed later
Finis coronat opus

Saving data (possibilities, formats)

Saving output

Exporting output (possibilities, formats)

Changes in output (order and graphics)
Example of real data

EVS study

Data and questionnaire

Problem of „big“ data

Data archives – basic info
HW
HW2


Try to prepare data with at least three variables
of different types, i.e. one nominal, one ordinal
and one cardinal (scale)
Compute mean, median and mode when it is
possible and interpret results
Thanks for your attention