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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