SPSS Data Analysis Drowning in Data nd 22 April 2014 ROSLE MOHIDIN Senior Lecturer School Of Business & Economics, UMS 1 2 Presentation Outline ◼ SPSS Environment -Review of SPSS Basics SPSS interface: data view and variable view How to enter data in SPSS How to clean and edit data How to transform variables How to sort and select cases How to get descriptive statistics ◼ Inferential Statistics in SPSS Independent t-test Regression 3 3 Features of SPSS ◼ Originally developed for the people in Social Science Areas, therefore, no heavy programming background required ◼ Designed as User Friendly and has Pull Down Menus to Execute Statistical Commands ◼ Ability to do Data Management & Manipulations ◼ Ability to Store Programs & Produce Reports/Graphs 4 SPSS Program Flow Outside Data Source Raw Data SPSS Data File Data Modification/ Transformation Data Analysis Pull-Down Menu OR Syntax Menu (Data Steps) (Analysis Steps) 5 An Example of Research use SPSS a tool of Data analysis ◼ Youth Risk Behavior Surveillance System (YRBSS, CDC) YRBSS monitors priority health-risk behaviors and the prevalence of obesity and asthma among youth and young adults. The target population is high school students Multiple health behaviors include drinking, smoking, exercise, eating habits, etc. 6 6 ◼ Data view The place to enter data Columns: variables Rows: records ◼ Variable view The place to enter variables List of all variables Characteristics of all variables 7 7 ◼ You need a Questionnaire/code book/scoring guide ◼ You give ID number for each case (NOT real identification numbers of your subjects) if you use paper survey. ◼ If you use online survey, you need something to identify your cases. ◼ You also can use Excel to do data entry. 8 8 Data View Window - Data Entry Site (Columns=Variables, Rows=Cases) Help Menu Pull-down Menu bar Tool bar Information bar Title bar Variable Names Data View window Active cell