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click METHOD to select what type of method you would like SPSS to use when replacing missing values. click TRANSFORM click REPLACE MISSING VALUES select the variable with missing values and move it to the right using the arrow SPSS will rename and create a new variable with your filled-in data. When you have missing data in your data set, you can fill in the missing data with surrounding information so that the missingness does not impede your analysis. click DISCRETE MISSING VALUES enter a specific value, such as 9999, to define this variable’s missing value A range can also be used if, for example, you only want to use half of a scale.ġ4 Cleaning your data – missing data cont. Select that variable’s missing cell by clicking on the gray box in the right corner. To define a variable’s user-defined missing value… Look at your variables in VARIABLE VIEW Find the column labeled MISSING Find the variable that you would like to work with. For example, 9999 is a common user-defined missing value. User-defined missing data are values that the researcher can tell SPSS to recognize as missing. SPSS indicates that a value is system-missing by one period in the data cell. System-missing data is assigned by SPSS when a function cannot be performed. There are two types of missing values in SPSS: system-missing and user-defined. Select and enter data recode modifications: Enter an already existing Old Value, then enter its New Value, and Add or, then click RANGE to create ranges of old values click VALUE to create a new value for that range of old values Recoding allows a researcher to create a new variable with a different set of parameters click TRANSFORM click RECODE INTO DIFFERENT VARIABLE move Grade over to the right create a name for the new variable: Grade_num click Old and New Valuesġ1 Data manipulation – recode a variable (contin.)
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With the select cases command, you can select specific cases for analysis click DATA click SELECT CASES click IF CONDITION IS SATISFIED select the variable with which you’ll select cases enter the logical command to select the cases you want to analyze.ĩ Data manipulation – compute new variableĮxample: create a new variable from already existing variables click TRANSFORM click Compute Variable fill in the new target variable testscore_ex fill in numeric expression = StTestScore + 3 create an IF statement by clicking on the IF button click INCLUDE IF CASE SATISFIES CONDITION, and enter SCHOOL = LOCKE, then click OK Hypothetically, this new variable testscore_ex would adjust scores for those students who were at Locke and took a modified version of the test. The Measure of variables in the dataset is important: Scale “continuous” – age, weight, income Nominal “names” – categories that cannot be ranked (ID number) Ordinal “ordered” – categories that can be ranked (level of satisfaction) Rows are cases Columns are variables (generally speaking) Variable view Rows define the variables Name, Type, Width, Decimals, Label, Values, Missing, Columns, Align, Measure. Note: you must perform separate save procedures for the data editor (.sav), output viewer (.spv), and syntax editor (.sps) windows. This is also where you can type your own syntax commands and run them.
#SPSS 22 TUTORIAL PPT WINDOWS#
There are multiple windows in SPSS The Data Editor Window – shows data in two forms Data view Variable view The Output Viewer Window – shows results of data analysis The Syntax Editor Window – shows the syntax command script. Select the format of your data with the “Files of type” menu, then locate, select, and open your data file.
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Open the version of SPSS you’d like to work with. Select the red box that says SPSS on the top. The computers in the CSSCR lab typically have SPSS on the desktop. IBM purchased SPSS in This tutorial refers to use of SPSS There are some added functions in the new version, but for the most part, the usability is similar. The newest version of SPSS is called “IBM SPSS Statistics 19”.
#SPSS 22 TUTORIAL PPT SOFTWARE#
SPSS at a glance, basic structure Cleaning & reformatting your data Descriptive statistics – frequencies, crosstabs, explore Charts & graphs: histograms, legacy charts, editing graphs Resources for learning more about SPSSģ SPSS at a glance SPSS (Statistical Package for the Social Sciences) was designed to offer a more user-friendly data analysis presentation than other statistical software (e.g., S-Plus, R, SAS). 1 Introduction to SPSS (For SPSS Version 16.0)Įric Hamilton CSSCR CENTER FOR SOCIAL SCIENCE COMPUTATION AND RESEARCH UNIVERSITY OF WASHINGTON Fall, 2010Ģ Topics Covered in this Introductory Course