design a questionnaire for a service or attraction which operates in the events, tourism or hospitality environment.

design a questionnaire for a service or attraction which operates in the events, tourism or hospitality environment.

WHAT YOU NEED TO DO FOR ASSIGNMENT

Using the existing data set on sunspace

Produce 6 examples from the variables you have available. E.g.

You may choose to examine how many people were on their

first visit etc.

Produce a Frequency Table with the figures and then produce

a chart/graph which represents these

Must include percentage / counts and be labelled with a title

Explanation under your results detailing the numbers and

providing a short commentary as to why that may be can use

academic sources to support.

TLH224

Research Methods for Tourism,

Hospitality and Events

Assignment Guidance 2:

Quantitative Portfolio

Hand in Date: Wednesday 7th January

2015

Guidance

We have been exploring quantitative research methods over a six week

period and the second part of your assignment for this module involves

putting together a mini portfolio which will examine your understanding of

some of the quantitative methods and the use of statistical packages to

analyse these.

In your portfolio you must include;

?

Questionnaire Design

?

Statistical Testing: Descriptive Analysis

?

Statistical Testing: Chi Square Test

This assignment will help prepare you for further university study and

especially for final projects.

Below is a checklist which will help you to prepare your portfolio. Tick off after

you have completed each item. This will also ensure you include all required

items when you complete your qualitative portfolio submission.

? Item 1: Questionnaire Design Task

? Item 2: Descriptive Analysis Task

? Item 3: Chi Square Test Evidence

Item 1: Designing a Questionnaire

Due date: 7th January 2015

Quantitative methodologies offer the possibility to measure the current

tendencies and peoples’ behaviour in a geographical area, making possible

to quantify the reality, generalise the results and to replicate the study. The

majority of the studies based on quantitative techniques use questionnaires

to obtain the data. Each type of questionnaire has different needs. The

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typology and the measure of the answer can be different as well and this will

affect the type of statistical procedures applied in order to analyse the

obtained results.

This practical activity is about questionnaires and includes designing one,

and then analysing an existing data set relating to measuring the visitor

satisfaction at Sunderland Museum and Winter Gardens.

Designing a Questionnaire

For this first element of your assessment it is essential that you design a

questionnaire for a service or attraction which operates in the events, tourism

or hospitality environment.

The aim is to assess the quality levels of service or satisfaction and motivations

amongst visitors for a visit to the chosen venue. You must ask a number of

appropriate questions which will enable you to gather a good range of data

and contribute to research.

See overleaf for a sample of a questionnaire

Measuring Visitor Satisfaction at Sunderland Museum and Winter Gardens

We are Master students at the University of Sunderland and are conducting this

questionnaire as part of one of our courses. We would appreciate if you could

participate in this exercise. All answers are kept confidential. Thank you!

1. Is this your first visit?

? No

? Yes (please continue with question 3)

2. How often have you visited before?

? Weekly

? Monthly

? Once or twice per year

? Rarely

3. What is your main motivation to visit? (Select one only)

? Education

? Family activity

? Culture

? Special event

? Sightseeing

? Other:_____________

4. Who are you visiting with today?

? Children

? Partner

? Family

? On my own

? Friends

? Groups

5. Please rate your experience today of the following?

Excellent

Good

Average

Below

Average

Poor

Winter Gardens

?

?

?

?

?

Not

visited/

used

today

?

Art Gallery

?

?

?

?

?

?

Museum

displays

?

?

?

?

?

?

Cafe

?

?

?

?

?

?

Shop

?

?

?

?

?

?

Staff

?

?

?

?

?

?

Signage

?

?

?

?

?

?

Facilities

?

?

?

?

?

?

Opening hours

?

?

?

?

?

?

Special

activities

offered by

SMWG

?

?

?

?

?

?

6. Compared with what you expected from today’s visit has your experience with

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Sunderland Museum and Winter Gardens been:

? Less than expected

? As expected

? Better than expected

7. Will you recommend a visit to the Sunderland Museum & Winter Garden?

? Yes

? No

8. Please indicate your overall satisfaction of your visit today?

? Not satisfied at all

? Satisfied

? A little satisfied

? Very satisfied

? Neutral

9. Has the experience of being at this venue influenced your mood today?

? No (please continue with question 9)

If Yes could it be described as:

? Favourable

? Very Favourable

? Unfavourable

? Very unfavourable

10. Where are you from?

? Local

? National

? Regional

? International

11. Gender

? Male

? Female

12. Please indicate your age group in the following:

? 18-25 years

? 46-55 years

? 26-35 years

? 56-65 years

13. Please indicate highest level of education?

? Primary Education

? Further Education

? Secondary Education

? Higher Education

Thank you very much for participating!

? 36-45 years

? Over 65 years

Item 2: Carrying Out Descriptive Statistics on a Data Set

Here we are going to use SPSS (Statistical Package for the Social Sciences),

which has been designed especially for social science studies to help analyse

data collected from questionnaires.

Part 1: Getting to know SPSS. Exploring the data in SPSS.

The first step is to understand how SPSS is used as well as the characteristics of

the dataset. For this part you need to:

o Explore the Data which has already been inserted into SPSS.

Part 2: Descriptive statistics

The second step is to describe the data you are using. For this part you need

to complete the following tasks:

1) Provide a frequency analysis for the variables.

Using 6 examples from the variables within the data set provided show the

frequencies of data using the package;

o

o

Show the SPSS tables / graphs

Paste into a Microsoft Word document and then finally

2) Explain the results

The final step is to present the results obtained in the frequency analysis. You

should present them together with a short commentary of 250 words

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explaining the results.

Remember to include the following in your portfolio:

o

Statistical sample table from SPSS

o

Demonstrate the frequency analysis table for each variable

o

Show how the frequency data can be shown in a word document

(table)

o

Present the data using graphics (charts/graphs)

o

Explain what the frequency data is showing

Item 3: Chi Square Test

In the previous practical we analysed the variables individually. In this

practical we are going to relate them to each other. The process is called

“cross-tabulation” and it is one of the simplest and most frequently used

techniques to demonstrate the presence or absence of a relationship

between variables.

Part 1: Cross-tabulation

First of all you need to analyse the relationship between the variables in the

database. You need to complete the following cross-tabulation analysis, and

justify in each case whether the relationship is statistically significant. This is

something known as the Chi Square Test.

You should be aiming to present two result showing significance and one

insignificant test bearing in mind for something to be of significance it has to

be below 0.05.

Part 2: Presenting Descriptive Data

In the second part, you need to present the results graphically using Excel /

Word. Excel is more effective than SPSS to create and display charts and

figures.

First of all you need to make a column chart in Word/Excel using the tables

from you cross-tabulations

Remember to include the following in your portfolio:

Cross tabulation tables

Produce individual graphical charts to present data

Explain the patterns within the data

Present a chi square to show if there are any significant differences

between the variables

Explain and justify your reasons if there are or are not any significant

differences in the data.

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