# SOCI 3015 Quantitative Research Methods In Social Sciences

## Question:

When analysing data, you must address the following:

Consumer behavior

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What type of fast-food restaurants are most popular among respondents? (Q3)

What amount of money customers spend at fast food restaurants (Q2), and whether there are differences depending on which restaurant they visit.

Do descriptive statistics. Create corresponding charts for Q1A or Q1b. Then, explain key insights.

Excel is required for at least one chart.

Profiling of Consumers

Back Yard BBQ’s management also wants to better understand their patrons and to determine if singles or families visit their restaurant more than other FF restaurants.

The management of Back Yard BBQ wants to compare and analyze the data for individuals without children, people who have 1 or 2 children, and people who have more than 3 children.

What can you deduce from the results of this study?

Attitudes & Preferences

Define general consumer attitudes and preferences. Which aspects are most important? (Q11-Q19).

Management wants to determine if there is a gender difference in attitudes toward and preferences for fast food restaurants (Q11-19).

Data Reduction in Attitude Items

Do exploratory factor analysis of the preferences and attitudes items in order to determine whether they can be reduced to specific, meaningful factors (Q11-Q19).

Save extracted factors as factor scores.

Associations between variables

Please first verify if there are statistically significant associations between Q4-9 (fast food selections and consumption patterns) & likelihood of future visitation. (Q32).

Please comment on the correlation analysis.

Perform a regression analysis using four factors (Q11-19 (fast food selection and habits) and Q4-9 (fast foods selection and consumption) with those variables being independent variables. The dependent variable Q32 is the likelihood of future visitors.

Comment on the regression results.

On average, the participants visited the restaurant three times per month.

The results however showed that 34% of participants visited the restaurant at least twice per month (n = 102).

Statistics

N

Valid

What’s missing

The Mean

Median

Mode

Deviation

Minimum

Maximum

Frequency

Percent

Valid Percent

Valid

Once

Twice

Five times

Six times

Seven times

Total

How much did you spend per visit?

The average spending per visit was 3.3867 dollars, with most participants spending only 2 dollars.

The median spending was 3 bucks.

The maximum spending per visit was \$700, and the minimum was \$1.

Statistics

Dollars per visit

N

Valid

What’s missing

The Mean

Median

Mode

Deviation

Minimum

Maximum

Dollars per visit

Frequency

Percent

Valid Percent

Valid

Total

Is there a significant difference between the male and female participants’ visits?

The purpose of this study was to compare the visits made to the restaurant by male and female participants.

This hypothesis was tested at the 5% level of significance to answer this question.

H0: There is no difference in the number of visits that male and female participants receive on average.

HA: There are significant differences in the number of visits that the male and female participants make.

These are the results.

Group Statistics

N

The Mean

Deviation

Error Mean

Male

Female

Independent Samples Testing

Levene’s Test for Equality of Variances

t-test for Equality of Means

F

t

df

Differential Mean

Error Difference

95% Confidence Interval to the Difference

Lower

Upper

Accepted: Equal variances

It is not assumed that equal variances exist

A t-test was performed to determine the average number visits by male and female participants.

The average number of visits made to the restaurant by female participants (M= 3.16, SD= 1.60; N = 149) was not significantly higher than the average number visited by male participants. (M= 2.83, SD= 1.51,N = 151), T (298) = -1.8119, p>.05, one-tailed.

The average number of people who visit the restaurant each week is the same for both male and female participants, essentially.

Is there a significant difference between the amounts spent per visit by male and female participants.

The study also attempted to determine how male and female participants compared in terms of spending per visit to the restaurant.

This hypothesis was tested at the 5% level of significance.

H0: There’s no difference in the average amount that male and female participants spend.

HA: There are significant differences in the average amount that male and female participants spend.

These are the results.

Group Statistics

N

The Mean

Deviation

Means of Error

Dollars per visit

Male

Female

Independent Samples Testing

Levene’s Test for Equality of Variances

t-test for Equality of Means

F

t

df

Differential Mean

Error Difference

95% Confidence Interval to the Difference

Lower

Upper

Dollars per visit

Accepted: Equal variances

It is not assumed that equal variances exist

A t-test was performed to determine the average amount of money spent per visit at the restaurant by male and female participants.

The average visit to the restaurant for the female participants was 32.83, with a SD of 1.55, N = 149). This difference was significant compared to the average visit by male participants, who spent 3.94, 1.78, and N = 150 respectively.

The overall results revealed that there is a significant difference in the average restaurant visit between the male and the female participants.

Correlations

We will now examine the types of correlations found between variables.

Below is the correlation matrix.

Correlations

Dollars per visit

Number of children

Annual Household Income

Pearson Correlation

N

Dollars per visit

Pearson Correlation

N

Number of children

Pearson Correlation

N

Annual Household Income

Pearson Correlation

N

The 0.05 level of correlation is significant (2-tailed).

At the 0.01 level (2-tailed), correlation is significant.

Results revealed a significant positive correlation (r = 0.141; p = 0.015) between the number of restaurant visits per month, and dollars spent per visit.

The positive correlation between visitation by children and dollar spent per visit was also significant (r = 0.392; p =0.000).

A positive correlation is a relationship where one variable increases and the other decreases.

Conclusion

This study was done to determine the characteristics of Australian customers who visit restaurants.

To draw the conclusions, a 300-member sample was used.

Results showed that there wasn’t a significant difference between male customers and female customers in terms of the number of visits they made.

In terms of average spending per visit, male customers spent on average more than female customers.

Also, there was a positive correlation between the number of restaurant visits per month as well as the dollar amount spent per visit.

Also, there was a significant positive correlation between visits by children and dollars spent per visit.

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