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we will study three topics: comparing summary statistics of different groups or subgroups

INSTRUCTIONS TO CANDIDATES
ANSWER ALL QUESTIONS

For this week’s SPSS exercise and assignment, we will study three topics: comparing summary statistics of different groups or subgroups, constructing a cross tabulation table (crosstab) and applying probability concepts to solve problems. 

 

A. Comparing Groups

 

In the last SPSS exercise, we used the Frequencies procedures to calculate summary statistics for univariate data, such as baseball team salary, frequent flyer mileage, etc.  In this SPSS exercise, we will learn the procedures for calculating simple summary statistics for data with two or more variables, and subgroups of cases (e.g., male and female under the variable of gender), therefore, we can compare the summary statistics of different groups, such as the length of stay in destinations by tourists’ nationality or tourists’ spending by level of family income.

 

To demonstrate how to use SPSS for comparing summary statistics for groups and subgroups of cases, we will use the data file containing information of international tourists to Mongolia labeled MongoliaData and posted in the Learning Module 4 for this week.  This data file has 321 observations (cases) and includes the following variables:

 

Origin (country or region:  U.S., European, other)

Gender (male and female)

Marital status (single and married) 

Information Source for the destination (TV, Internet, Brochure, WOM, etc.) 

Travel mode (package tour or FIT_Free Independent Traveler)

The above five variables are nominal data (string)

Length of stay (number of days) Ratio data

The next 12 variables measure visitors’ reaction/perception/satisfaction toward 

tourist attractions and services in Mongolia on a 5-point scale (1 = least and 5 = 

most).  Interval data

Natural attraction

Cultural attraction

Nitelife (entertainment)

Shopping

Recreation

Facility (tourism facilities such as airport, hotels, restaurants, etc.)

Attitude (local people’s attitude toward international tourists)

Hygiene (cleanliness and sanitation)

Staff (service rendered by tourism employees)

Food

Transportation (availability and comfort of local transportation)

Satisfy (overall satisfaction rating for Mongolia trip)

Note: You can also click the Variable View tab to learn how these variables are defined.

 

Analysis 1  Determine Summary Statistics for Origin and Natural Attractions

 

1. From the menu bar, click Analyze

2. Click Compare Means from the pull down menu

3. Click Means …, a dialog box comes up (Note the variable list on the left and the Dependent list: and Independent list: targets on the right.  The Dependent list target only accepts variables with numeric measurement and the Independent list target accepts both string and numeric variables.)

 

 

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