Spss Code Categorical Variables Code Admission Dates#
Spss Code Categorical Variables How To Do So#

Spss Code Categorical Variables Code Admission Dates

This can be done for categorical and continuous variables, BUT you as a researcher must decide.Assumption 1: You have one categorical dependent variable with two categories (i.e.,a dichotomous variable) and one categorical independent variable with two related groups. SPSS Step-by-Step 3 Table of Contents 1 SPSS Step-by-Step 5 Introduction 5 Installing the Data 6 Installing files from the Internet 6 Installing files from the diskette 6 Introducing the interface 6 The data view 7 The variable view 7 The output view 7 The draft view 10 The syntax view 10 What the heck is a crosstab 12 2 Entering and modifying data 13In SPSS you would have to create dummy variables using Recode. Automatically convert your categorical variables already) Just like dummy coding but we.There are 2 short jobs below which recode admission dates, ranging from 11/1/92 to 10/31/97, into group codes according to the admission year Nov 1, 199x to Oct 31, 199x+1.The level of the categorical variable that is coded as zero in all of the new variables is the reference level, or the level to which all of the other levels are compared.

Combine values and value labels of doctor_rating and nurse_rating into tmp string variable. Declare new tmp string variable. Note that an SPSS date variable is stored as the number of seconds from 0:00:00 on to the date and time specified.

Optionally, apply variable label to end result. Delete tmp string variable. Autorecode tmp /into doctor_and_nurse_rating. Convert string variable into numeric.

Spss Code Categorical Variables How To Do So

Recode doctor_rating nurse_rating (sysmis = 7). Recode system missing into value that doesn't occur in variable yet. The syntax below shows how to do so.*1. Use a value that's not yet present in the original variables and apply a value label to it. Prior to running this syntax, simply RECODESystem missing values. ().A nicer result can be obtained without changing the basic syntax for combining categorical variables.

It is assumed that all values in the original variables consist of single digits. Although the syntax combines two variables, it can be expanded to incorporate three or more variables. We'll walk through them below.SPSS Combine Categorical Variables - Assumptions Most real world data will satisfy those. Proceed with remaining syntax from here.After doing so, the resulting value label will look as follows:Doctor_rating = 3 (Neutral) nurse_rating = 7 (System missing).Further, note that the syntax we used made a couple of assumptions. Add value labels doctor_rating nurse_rating 7 'System missing'.