- #HOW TO SAVE A FILE IN SPSS VERSION 25 HOW TO#
- #HOW TO SAVE A FILE IN SPSS VERSION 25 SOFTWARE#
- #HOW TO SAVE A FILE IN SPSS VERSION 25 PLUS#
Looking at the columns on the left we can see that we have created a "grouping variable" called "Gender" that has two categories: " 1" and " 2". By using the value attribute we can label these numbers as representing males and females, respectively. For example, we label "males" as " 1" and "females" as " 2". We do this by labelling our groups numerically. This is a separate column that includes information on which group a subject belongs to. To identify which subjects were males and which were females, you need to create a "grouping variable" in SPSS Statistics. You want to label some of your individuals as female and others as male. A common example is when differentiating between gender. In this sense, you could call the groups "mutually-exclusive". They are groups where the individuals in each group are unique (i.e., no person is in more than one group). Separate groups are more commonly called between-subjects factors or independent groups. The only variation to this is discussed later in this guide when we have to enter repeated measures. To add more variables, simply add more columns - one column per variable.
#HOW TO SAVE A FILE IN SPSS VERSION 25 HOW TO#
How to label variable columns is in our Working with Variables guide. So, even if we ignored the Subject column, we can see that one individual was 1.55 m tall and weighed 56 kg, looking at the Height and Weight columns, respectively. However, SPSS Statistics does not need you to enter this column, and it is mostly for you to be able to better visualize your data. The Subject column has been added so that it is clear that each individual is placed on a separate row. Published with written permission from SPSS Statistics, IBM Corporation. Creating dummy variables (e.g., in multiple regression analyses with categorical independent variables).Separate groups and repeated measures (e.g., gender and time course).Multiple separate groups (e.g., gender and level of education).Entering repeated measures (within-subjects factors) (e.g., time course).Defining separate groups (between-subject factors) (e.g., gender, level of education).Entering variables (e.g., height, weight).
#HOW TO SAVE A FILE IN SPSS VERSION 25 PLUS#
We shall now look at the three most common tasks you face when entering data into SPSS Statistics, plus three more advanced setups: Equally, if a row contains more than one person's data, you have also made a mistake. If you find that you have an individual's data on more than one row then you have made a mistake. Therefore, when entering data into SPSS Statistics you must put one person's data on one row only. For the purposes of this explanation, we shall assume that a case is an individual. Usually, a case is an individual, but it can also be a commercial product or a biological cell (or something else entirely). A case is the "object" which you are measuring in someway. The principle behind entering data in almost all cases in SPSS Statistics is to enter each unique case on a new row. SPSS Statistics sets out its data in a spreadsheet-like manner. This course uses the IBM SPSS Statistics Base features.Entering Data in SPSS Statistics The "one person, one row" Rule
In addition to the fundamentals, participants will learn shortcuts that will help them save time. They will also see how easy it is to get data into IBM SPSS Statistics so that they can focus on analyzing the information.
Participants will learn the basics of reading data, data definition, data modification, and data analysis and presentation of analytical results.
#HOW TO SAVE A FILE IN SPSS VERSION 25 SOFTWARE#
Minimal experience in using IBM SPSS Statistics.This basic course is for individuals with: IBM SPSS Statistics Essentials (V25) is an instructor-led classroom course that guides participants through the fundamentals of using IBM SPSS Statistics for typical data analysis process.