It is possible to adjust the width of the Data Editor columns and change the alignment of data in the column (left, centre or right) Measurement level Can be specified as nominal, ordinal, interval or ratio 5 -20% -10% 0% Percent change at opening Frequency Average = -8.2% Median = -8.6%Ĩ 4.2 Data Editor Specifically, in editing and viewing data and result in SPSS, it has seven different types of windows: Data editor (Our focus) Viewer and draft viewer (Output) Pivot table editor Chart editor Text output editor Syntax editor Script editor 10 20 30 40 50 $0 $100,000 $200,000 Income Average = $38,710 Median = $27,216 Frequencyġ0 4.2 Data Editor Variable view Average, median, and mode are identicalġ1 4.2 Data Editor Menu-driven and has variety of pull-down menus. Can be changed to other type (date, currency, etc) and have different number of decimal Data Ranks Rank of median = (1+8)/2 = 4.5 6 4 9 Median Averageħ 4.1 Data Input Column format Measurement level
How to dealt with missing data – Leave the cell blank or assign missing value codes Rules for assigning missing value codes: Must be the same data type as they represent (E.g.: Missing numeric data must use numeric missing value code) Missing value code cannot occur as data in the data set By default, the choice of digit is usually 9 Variable types By default, SPSS assumes all new variables are numeric with two decimal places.
Cannot end with period or underscore Blanks and special characters cannot be used (E.g.: !, ?, ‘ and *) Must be unique Duplication is not allowed The length in one variable cannot exceed 64 characters Reserved keywords cannot be used as variable names (E.g.: ALL, AND, BY, EQ, GE, LE, LT, NE, NOT, OR, TO and WITH) Are not case sensitive 5+7 2ĥ 4.1 Data Input Labels Variable label is a full description of the variable name Optional It has a value label that can be in alphanumeric and numeric code Alphanumeric code Numeric codeĦ 4.1 Data Input Missing values Variable types The remaining can be letter, digit, period or the #, _ or $.
Labels (Variable and value) Missing values Variable types Column format Measurement level 2 5 10 15 20 Defects per lot Frequency (lots) Average is 5.1 defects per lot Sample average Population average “X-bar” “mu”ģ 4.1 Data Input Defining variables (in Variable view): Variable names
22 Sophisticated software used by social scientists and related professional for statistical analysis. The statistical software package used – SPSS (Statistical Package for the Social Sciences) v.
L Chapter 4 l Introduction to Statistical Software Package 4.1 Data Input 4.2 Data Editor 4.3 Data Computation and TransformationĢ Introduction to Statistical Software Package Presentation on theme: "Introduction to Statistical Software Package"- Presentation transcript:ġ Introduction to Statistical Software Package