
RECODE function can be categorized under data preparation and management. Now let us learn the easier steps of using SPSS for RECODE function. This will save your time to ensure the categorical of your data can be done for the specific condition as you set. RECODE data into other formats by controlling the “IF” factors.You should try it to make ease of your data analysis or database collected from your study or online business. The chi-squared test of independence of categorical variables is used to answer the question of whether the effects of one variable depend on the value of. This is the huge benefit of RECODE using SPSS. Converting the string variables into numeric by a split second.The system-missing radio button will help you to detect any errors or missing data. Each number then receives the string value it represents as a value label. The string values are recoded into integer numbers (1, 2, 3 and so on). This is very useful especially when you handling data for thousands or millions. SPSS AUTORECODE - What Is It SPSS AUTORECODE creates a new numeric variable from a string variable. In addition, RECODE can be used to find the missing values, LOCATE and make a correction.This can be applied when your data analysis focusing on the data that fall within specific standard to identify it as comply or not comply with the standard testing application. Another application of RECODE will be an arrangement of the standard or values.Example of this application can be found here in our article. This “negative questions” then need to be RECODE into “real” data. This was being done to ensure the respondents focus their answer when answering the questionnaire. This questionnaire usually is set to have “negative questions/ statement”. Usually in social or medical health science research. In addition, we use RECODE to change the coding system of the entered data by respondents.This was done to ensure that our demographic variables can be analyzed together with the dependent variables. Next, RECODE usually used for CHI-SQUARE analysis steps to make your continuous data become categorical variables.One higher group (which is beyond the normal tabulation or lower group) Using the RECODE, we can ask the SPSS to detect and class those data into two groups. Sometimes, our data consist of very high values which influence the tabulation of data. RECODE was conducted to identify or separate the outlier or any extreme values.I am going to share with you 7 important reason you RECODE your data. There are lost of application of RECODE in research or data analysis.

Why researcher RECODE? RECODE is a process of encoding numerical numbers into the specific group by assigning them with new numbers.

Today I am going to share with you the ideas of RECODE your data in SPSS for making your numerical data into categories.įirst, you need to understand the usage of RECODE in data analysis. Have you ever imagine how your numerical data can be transformed into the specific group or categorize? All you need is very simple a tools, skills, and knowledge. How you want to recode your data in SPSS Data Analysis
