This is basically what our SPSS Clone Variables Tool does for many variables at once. However, we can clone a variable with its dictionary information by combining RECODE with APPLY DICTIONARY. Clone a VariableĪ disadvantage of recoding into new variables is they don't have any dictionary information by default. means income by income_class /cells count min mean max. Check income descriptives per income class. Finally, note that RANK offers an alternative for discretizing variables. As demonstrated, a descriptives by category table is a nice way to inspect these results. The syntax below looks a bit awkward but is not unusual. This feature is sometimes used when discretizing continuous variables: you can use LO (the lowest value that hasn't been previously addressed) as the lower boundary for each category. This is also the reason that there's no point in specifying any old values after the ELSE keyword. The old and new value pairs are read from left to right and an old value that's already been addressed will be ignored if it's addressed again. import spss for suff in range(7,10): spss.Submit('crosstabs v%(suff)d by rec_v%(suff)d /cells count /missing include.'%locals()) end program. Alternative for 3A - have Python generate crosstabs. crosstabs v9 by rec_v9 /cells count /missing include. crosstabs v8 by rec_v8 /cells count /missing include. crosstabs v7 by rec_v7 /cells count /missing include. Optionally, users who have the SPSS Python Essentials installed can generate the crosstabs in a loop as shown in step 3B. In a similar vein, HI can be used for the highest value. This example uses LO THRU 3 which means “the lowest value through 3”. Just make sure that the number of input variables matches the number of output variables. Recoding several variables into several new variables is straightforward: simply fill in multiple input variable names after RECODE and multiple output variable names after INTO. Dichotomize Multiple Variables into New Variables However, an easy way to reorder is using MATCH FILES. Therefore, you can't address a range of original and recoded variables by using the TO ALL keywords. Second, the new variables are appended to the end of the active dataset. First, note that the new variables don't have any dictionary information at all. This example shows some disadvantages of recoding into new variables. A crosstab confirms that categories 1 and 2 have been merged into 2. *Note: rec_v2 doesn't have labels or missing values defined yet. crosstabs v2 by rec_v2 /cells count /missing include. We'll run FREQUENCIES right before and after recoding so we can check the results. All values that are not 1 are left unaltered. This is as simple as recode v1 (1 = 2).The screenshot illustrates the effect. We'll do this by changing all values of 1 into 2. In this example we'll merge categories 1 and 2 of a variable v1. You'll soon notice that recoding from syntax is very simple and way, way faster than from the GUI. SPSS Recode Example 1įor quickly getting very proficient with RECODE it's recommended you follow along with the examples. This tutorial walks you through its main options, best practices and pitfalls. It comes in handy for merging categories, dichotomizing continuous variables and some other tasks. SPSS RECODE replaces data values with different values. Chi square tests were run to identify any relationships using SPSS for Windows.SPSS RECODE – Simple Tutorial By Ruben Geert van den Berg under SPSS A-Z Data was pulled from Department of Education website and identifying curriculum was pulled from school websites. This study was specifically exploring the effect of CTE programs in New Jersey high schools by comparing strictly CTE schools' graduation rates to comprehensive high schools' graduation rates in each county. The purpose of this study was to examine the effects that CTE has on high school graduation rates. In its early years, CTE was for individuals entering the workforce directly after secondary school but recent research has shown the benefits that these programs are providing for students continuing their education post-secondary. Trying to move away from the stigma of its purpose, Career and Technical Education (CTE) has been changing from the beginning of its implementation into the secondary school system.