Therefore, if any field/cell is blank in your excel sheet then you must not click this option. Therefore, it is not considered reliable when calculating results. This is statistically incorrect, because if a person hasn’t answered a question in the questionnaire then he/she should not be considered as a respondent for that question at all. For example if out of 10 responses, 9 respondents have given their response and 1 hasn’t, by choosing this option, it will still consider the total number of respondents as 10. So, if the user has not defined any missing value then “No Response” is also taken as valid response.
#SPSS CODE NOT APPLICALBE AS MISSING PLUS#
No Missing Values, Discrete Missing Values and Range plus one optional discrete missing value (Figure 3). Now a Dialog box will open, which specifies three options i.e. Click on the blue box that appears on the first cell under that column as shown in image below (Figure 2). Now in order to define the missing values, the eighth column in SPSS Variable view is called “Missing”. The image below shows the missing values in different columns in the survey response (Figure 1). Then you will define the missing values for such cases. Or he/she may simply write “I don’t know” or “NA” in front of a question in the questionnaire. User-defined missing value: sometimes respondent leaves a question unanswered or doesn’t tick any option. There are two types of missing values, “user-defined missing values” and “system missing values”.
Missing values deserve special attention, and assigning values when responses are missing within SPSS will be discussed under this section. You don’t want to attach value labels to individual ages however, you should label the missing value codes for all variables if you use more than one code. Note: Labels for individual values are useful only for variables with a limited number of categories whose codes aren’t self-explanatory. The sequence of operations is to: enter the value, enter its label, click add, and repeat this process for each value. For Penalty, the label is coded 1 = favor, 2 = oppose. Value labels: To label individual values, click the button in the Value column.For instance for the variable “Penalty” the label says “favor or oppose death penalty for murder.” Variable labels: Assign descriptive text to a variable by clicking the cell and then entering the label.A name can’t end with a period, contain blanks or special characters, or be longer than 64 characters. The name must start with a letter, but the remaining part of the variable can be letters or digits. In the name column, enter a unique name for each variable in the order in which you want to enter the variables. To create your own variable names, click the variable view tab and change accordingly. If you type a number into the first cell, SPSS will label that column with the variable name VAR00001. From the menus, choose file, -> new, -> data, which opens the data editor in data view. If your data isn’t already in a computer-readable SPSS format, you can enter the information directly into the SPSS Data Editor (See Article Importing Files and creating datasheet in SPSS). Priya Chetty and Shruti Datt on January 17, 2015