How to recode your data in SPSS Statistics Recoding your data means changing the values of a variable so that they represent something else. Within SPSS Statistics there is more than one type of recode that can be performed. In this video Jarlath Quinn demonstrates how to:-...
missing values q1 to q3 (2). specifies 2 as a missing value for variables q1 through q3. By Katherine Wang on March 3rd, 2016 Sometimes I want to recode user missing values (e.g. don't know) to be valid (e.g. when I discovered that a huge proportion answered "don't know" and...
Those are mainly STRING, RECODE, DO REPEAT and IF.Copy and Convert Several String Variables*Close data without saving and reopen before proceeding.*Copy all string variables.string c1 to c4 (a7).recode s1 to s4 (else = copy) into c1 to c4.*Convert variables to numeric.alter type s1 to...
Why reprex? Getting unstuck is hard. Your first step here is usually to create a reprex, or reproducible example. The goal of a reprex is to package your code, and information about your problem so that others can run it…
aBefore reliability & validity analysis, this research first converted values of inverse problems designed in the questionnaire using SPSS via function of 'Recode' under 'Transform' menu to correct them to scores of positive questions. 在可靠性&有效性分析之前,这研究首先转换了在查询表设计的相反问题...
aBefore reliability & validity analysis, this research first converted values of inverse problems designed in the questionnaire using SPSS via function of 'Recode' under 'Transform' menu to correct them to scores of positive questions. 在可靠性&有效性分析之前,这研究首先转换了在查询表设计的相反问题...
The easiest solution is to convert it into a numeric variable as discussed in SPSS Convert String to Numeric Variable. The syntax below uses AUTORECODE to get the job done.*Convert jtype into numeric variable.autorecode jtype /into njtype.*Check result.frequencies njtype.*Set missing values....
Since this is what you typically need to do, this is one of the biggest stupidities still found in SPSS today. A workaround for this problem is toRECODE the entire low range into some huge value such as 999999999; add the original values to a value label for this value; specify only ...
Since this is what you typically need to do, this is one of the biggest stupidities still found in SPSS today. A workaround for this problem is toRECODE the entire low range into some huge value such as 999999999; add the original values to a value label for this value; specify only ...
The easiest solution is to convert it into a numeric variable as discussed in SPSS Convert String to Numeric Variable. The syntax below uses AUTORECODE to get the job done.*Convert jtype into numeric variable.autorecode jtype /into njtype.*Check result.frequencies njtype.*Set missing values....