1. Data Editor
§ Just
like spreadsheet
·
Defining,
entering, editing and displaying data
·
Its Extension
is”sav”
2. output / Variable viewer
Display output errors
·
Its Extension
is”spv”
·
Editable
·
Graphs and
tables can be copied.
·
Two sheets are
used i) Data Sheet ii) Variable Sheet
i) Data Sheet
The
Data Editor consists of two windows. By default the Data View, which allows the
data to be entered and viewed
used to contain the data for statistical and analysis.
ii)
Variable Sheet
The
other window is the Variable View, which allows the types of variables to be
specified and viewed.
contain detail
information about information about variable.
Like 1. Name
the chosen variable
name. This can be up to eight alphanumeric characters but must begin with a letter.
While the underscore (_) is allowed, hyphens (-), ampersands (&), and
spaces cannot be used. Variable names are not case sensitive
2.
Type
the type of data.
SPSS provides a default variable type once variable values have been entered in
a column of the Data View.
3.
Width
the width of the
actual data entries. The default width of numerical variable entries is eight.
The width can be increased or decreased by highlighting the respective cell in
the third column.
4.
Decimals.
the number of
digits to the right of the decimal place to be displayed for data entries. This
is not relevant for string data and for such variables the entry under the
fourth column is given as a greyed-out zero.
5.
Label
a label attached to
the variable name. In contrast to the variable name, this is not confined to
eight characters and spaces can be used. It is generally a good idea to assign
variable labels.
They are helpful
for reminding users of the meaning of variables and can be displayed in the
output from statistical analyses.
6.
Values
labels attached to
category codes. For categorical variables, an integer code should be assigned
to each category and the variable defined to be of type “numeric.”
7.
Missing
missing value
codes. SPSS recognizes the period symbol as indicating a missing value. If other
codes have been used (e.g., 99, 999) these have to be declared to represent
missing values by
highlighting the
respective cell in the seventh column, clicking the three-periods symbol and
filling in the resulting Missing Values dialogue box accordingly.
8.
Columns
width of the
variable column in the Data View. The default cell width for numerical
variables is eight. Note that when the Width value is larger than the Columns
value, only part of the data entry might be seen in the Data View.
9.
Align
alignment of
variable entries. The SPSS default is to align numerical variables to the
right-hand side of a cell and string variables to the left.
10.
Measure
measurement
scale of the variable. The default chosen by SPSS depends on the data type. For
example, for variables of type “numeric,” the default measurement scale is a
continuous or interval scale (referred to by SPSS as “scale”).
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any suggestion on my side