QUIZ SPSS WORKSHOP FOR BEGINNERS

what does SPSS stand for ?

• Software for Psychological Statistical Studies

• Scientific Programming and Statistical Software

• Statistical Products and Service Solution

• Statistical Processing and Survey system

in SPSS Data Editor, we have two view panes. Name both :

• Analysis View and Output View

• Spreadsheet View and Summary View

• Spreadsheet View and Output View

• Data View and Variable View

Who owns SPSS now ?

• IBM

• Microsoft

• Oracle

• SAS

When and where was SPSS developed?

• 1972, in UK

• 1968, in USA

• 1976, in Canada

• 1980, in Australia

Explain the steps to get a frequency table in SPSS?

• Navigate to "Tools", then "Data Analysis", and click on "Frequency".

• Go to "File", then "New", and choose "Frequency Table".

• Access "Options", then "Analysis", and pick "Frequency Table".

• Click on "Analyze", then "Descriptive Statistics", and finally select "Frequency".

Name two the advantages of using PIvot Table Editor in the output viewer.

• It offers automated report generation features

• Edit the appearance of my output tables using existing Format
  (e.g ; Academic)

• Change the text in my output table

• It provides advanced statistical modelling options

How do we select only female cases, thereby excluding males from any tests that we run. Use

• Select Cases

• Delete males

• Exclude non-females

• Nothing can do

(Choose two answers for this section)
There are two basic options for recoding variables. Name both

• Recode into Same Variables

• Recode into Quantitative

• Recode into Qualitative

• Recode into Different Variables

Let's say I want to run the Frequency analysis and I want the output for each ethnic (Malay, Chinese, Indian) to be separated by each ethnic. What function should I use?

• Recode Ethnicity

• Split File

• Filter by Ethnicity

• Group analysis

What is the measurement level of these variables as defined by SPSS ?
( Gender and Age )

• Gender: Nominal, Age: Interval

• Gender: Nominal, Age: Ratio

• Gender: Nominal, Age: Scale

• Gender: Ordinal, Age: Ordinal