| Day
Three: TESTING SIGNIFICANCE
DATA
PREPARATION -
Importing text and database files.
STATISTICAL
BASICS - Statistical
fundamentals, definitions, mathematical notation.
- Simple
statistical measures on whole dataset, measures of location and dispersion.
- Understanding
frequency data and frequency distribution.
PRESENTATION
TECHNIQUES
- When
to use chart types, bar, pie, histogram, line, scatter, error bar.
- Logarithmic
scales.
SIGNIFICANCE
TESTING - The
concept of significance.
- Relationships
between variables - Pearson's Correlation Coefficient, Linear Regression
- Comparing
means - standard error and confidence limits, Chi-square (if not covered in Day
2), Student's t-test, one-way ANOVA in outline.
PRESENTATION -
Exporting output to Word, to a webpage, to Excel, and Powerpoint.
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This
day will concentrate on translating analytical processes to SPSS syntax (programming
language). In so doing, we will consolidate the learning of the first three days,
but focus instead upon using syntax to facilitate efficient working, including: - Understanding
syntax structure.
- Using
the Paste button, and automatic production of syntax commands.
- Using
syntax help.
- Preparing
a syntax file, running it from a toolbar button.
- Setting
variable properties: VARIABLE, VALUE LABELS, FORMATS, MISSING VALUES.
- Setting
up data: DATA LIST, NEW FILE, GET FILE.
- Stating
your variable set: ALL, BY, WITH, TO.
- Using
scratch and system variables.
- Logical
testing: EQ, GE, GT, LT, NE, AND, OR, NOT, IF.
- Selecting
cases: SELECT IF, USE, FILTER, TEMPORARY.
- Taking
alternative pathways: DO IF, ELSE IF, END IF.
- Repeating
a process: DO REPEAT, END REPEAT, LOOP, END LOOP.
- Macros
DEFINE, !ENDDIFINE.
- How
to use the Production Mode facility for "off-line" working
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