Testing of Scales – Cronbach'S Alpha Reliability Coefficient.

-Logo1: has a maximum value of 5 and a minimum value of 1, with a mean value of 3.9000 and a standard deviation of 0.99493. We can see that most customers agree with the above opinion because the Logo is designed very differently and is highly symbolic.

-Logo2: has the largest value of 5 and the smallest value of 2, with an average value of 3.9000 and a standard deviation of 0.83532. From the above analysis results, we can see that the lowest rating chosen by customers is disagree and the highest rating is completely agree, and through the average value results, we can see that most customers agree with the opinion of logo1.

-Logo3: has the largest value of 5 and the smallest value of 1, with an average value of 3.8667 and a standard deviation of 0.95046. Thus, most customers agree with the above opinion, because the company's logo is created from 3 coffee beans, designed very uniquely to form an ant, compared to the logos of other brands, the company's logo is very different and interesting.

Logo4: has a maximum value of 5 and a minimum value of 1, with a mean value of 3.7444 and a standard deviation of 1.05534. Most customers agree with the above opinion because the logo is very unique and different, creating an impression and interest when customers look at it.

2.7.3 Slogan descriptive statistics.

Table 2.12: Slogan descriptive statistics


Descriptive statistics


Describe

GTNN

GTLN

GTTB

Standard deviation

Slogan1

Short slogan

1.00

5.00

3.8667

0.87666

Slogan2

Easy to understand slogan

1.00

5.00

3.7778

0.96893

Slogan3

Slogan evokes product quality

1.00

5.00

3.8556

0.89394

Slogan4

Easy to remember slogan

2.00

5.00

3.8111

0.85977

Slogan5

Meaningful slogan

1.00

5.00

3.9111

0.85649

Maybe you are interested!

Testing of Scales – CronbachS Alpha Reliability Coefficient.

(Source: SPSS results)

In general, customers rated the Slogan with the largest value of 5 and the smallest value of 1. Besides, the mean value and standard deviation did not differ significantly.

too large, specifically expressed as follows:

-Slogan1: has the largest value of 5 and the smallest value of 1, with a mean of 3.8667 and a standard deviation of 0.87666. Most customers agree with this opinion, the slogan is short but still carries the meaningful message that the company wants to bring to customers.

-Slogan2: has the largest value of 5 and the smallest value of 1, with an average value of 3.7778 and a standard deviation of 0.96893. From the results, we can see that most customers agree with the above opinion because the Slogan is short but easy to understand when read, hits the customer's psychology and has a profound meaning that the company wants to bring to customers.

-Slogan3: has the largest value of 5 and the smallest value of 1, with an average value of 3.8556 and a standard deviation of 0.89394. Thus, most customers agree with the above opinion, because the Slogan shows the meaning and quality of the product.

-Slogan4: has the largest value of 5 and the smallest value of 2, with an average value of 3.8111 and a standard deviation of 0.85977. From the analysis results, we can see that the majority of customers agree.

-Slogan5: has the largest value of 5 and the smallest value of 2, with an average value of 3.9111 and a standard deviation of 0.85649. From there, we can see that most customers agree with the above opinion, because the slogan carries a very meaningful message to consumers, hitting the customer's psychology so that customers can feel secure when choosing to use the product.

2.7.4 Price descriptive statistics

Table 2.13: Descriptive statistics of prices



Descriptive statistics


Describe

GTNN

GTLN

GTTB

Standard deviation

price1

Price lower than market

1.00

5.00

3.9111

0.88234

price2

Stable price, no ups and downs

2.00

5.00

3.8889

0.94148

price3

Apply good price policy for customers

1.00

5.00

4.0111

0.88043

iá4

Price support for new customers

1.00

5.00

3.6333

0.97669

G

GGG

(Source: SPSS results)

Through descriptive statistics, we can see that the number of customers participating in the survey is 90 people. In general, customers evaluate the price criterion with the largest value of 5 and the smallest value of 1. In general, the average value and standard deviation are not too different, specifically shown as follows:

- Price 1: Has the largest value of 5 and the smallest value of 1, with an average value of 3.9111 and a standard deviation of 0.88234. From the analysis results, we can see that most customers agree because the company sells products at lower prices than the market due to the following reasons: currently the company has its own factory in Da Nang, raw materials are imported directly to the factory and not through intermediaries, so the product price is low.

- Price 2: Has the largest value of 5 and the smallest value of 2, with an average value of 3.8889 and a standard deviation of 0.94148. Most customers agree with this opinion because the raw materials are taken directly from the place of cultivation, without going through an intermediary agent, so the price of raw materials will not be affected by the agent, so the price of the product will not be affected.

- Price 3: Has the largest value of 5 and the smallest value of 1, with an average value of 4.0111 and a standard deviation of 0.88043. From the results, it can be seen that most customers agree with the above opinion because when customers become loyal customers and use the product for a long time, the company will have its own price incentives.

- Price 4: Has the largest value of 5 and the smallest value of 1, with an average value of 3.6333 and a standard deviation of 0.97669. Thus, most customers agree with the above criteria because when customers import the company's products to their stores for the first year, the company will offer incentives by applying good prices, discounts compared to normal, and after the first five orders, the price will return to the original price.

2.7.5 Descriptive statistics of packaging design.

Table 2.14: Descriptive statistics of packaging design


Descriptive statistics


Describe

GTNN

GTLN

GTTB

Standard deviation

TKBB1

Beautiful packaging

1.00

5.00

3.6111

1.04607

TKBB2

Simple packaging design

1.00

5.00

3.6222

0.91894

TKBB3

Packaging material guaranteed

protect the environment

1.00

5.00

3.5667

1.02825

TKBB4

Packaging has full information

Product news

1.00

5.00

3.6667

0.99437

TKBB5

Packaging with zipper and valve

should be well preserved

1.00

5.00

3.7111

0.90249

(Source: SPSS results)

Through the descriptive statistics results, we can see that the number of customers participating in the survey is 90 people. In general, customers evaluate the packaging design criteria with the largest value of 5 and the smallest value of 1. In general, the average value and standard deviation are not too different, specifically shown as follows:

-TKBB1: Has a maximum value of 5 and a minimum value of 1, with a mean value of 3.6111 and a standard deviation of 1.04607. Most customers agree with this opinion. In fact, the packaging is designed simply and feels close to the user.

- TKBB2: Has the largest value of 5 and the smallest value of 1, with a mean of 3.6222 and a standard deviation of 0.91894. From the results, we can see that customers agree with this opinion. In fact, the packaging is designed simply and the materials used and paper, product information and images are combined quite simply.

- TKBB3: Has the largest value of 5 and the smallest value of 1, with an average value of 3.5667 and a standard deviation of 1.02825. From the results, it can be seen that most customers agree with the above opinion. Because the packaging material is easily degradable paper, the packaging is very environmentally friendly.

- TKBB4: Has the largest value of 5 and the smallest value of 1, with an average value of 3.6667 and a standard deviation of 0.99437. Most customers agree with the above opinion. Because the packaging always has full information about the product such as: production date and expiration date, information about the company...

-TKKB5: Has the largest value of 5 and the smallest value of 1, with an average value of 3.7111 and a standard deviation of 0.90249. From the results, it can be seen that most customers agree with the above opinion because in fact, the packaging is designed with a valve and zipper, bringing convenience to customers when using the product.

2.7.6 Descriptive statistics of employee uniforms.

Table 2.15: Descriptive statistics of employee uniforms


Descriptive statistics


Describe

GTNN

GTLN

GTTB

Deviation

standard

DPNV1

Impressive staff uniforms

2.00

5.00

3.9111

0.80231

DPNV2

Employee uniforms have their own meaning

1.00

5.00

3.8444

0.93510

DPNV3

Staff uniforms bring a sense of

comfortable

2.00

5.00

3.7667

0.90006

DPNV4

Beautiful and elegant staff uniforms

1.00

5.00

3.8778

0.94605

(Source: SPSS results)

Through the descriptive statistics results, we can see that the number of customers participating in the survey is 90 people. In general, customers evaluate the criteria for employee uniforms with the largest value of 5 and the smallest value of 1. In general, the average value and standard deviation are not too different, specifically shown as follows:

- Employee 1: Has the largest value of 5 and the smallest value of 2, with an average value of 3.9111 and a standard deviation of 0.80231. From the results, it can be seen that most customers agree with the above opinion. In fact, employee uniforms are designed and dark in color to suit the nature of the work.

-DPNV 2: Has the largest value of 5 and the smallest value of 1, with an average value of 3.8444 and a standard deviation of 0.93510. Thus, we can see that the majority of customers

Agree with this opinion because the color of the employee uniform is black, in addition to being suitable for the nature of the job, it also has a symbolic meaning like the black color of coffee beans, from which it can be seen that the company pays great attention to the image of the employees in the eyes of customers.

- Employee 3: Has the largest value of 5 and the smallest value of 2, with an average value of 3.7667 and a standard deviation of 0.90006. From that, we can see that most customers agree with the above opinion because the employee uniform has a cool fabric material, short sleeves suitable for work, creating a comfortable feeling when working.

-Uniform 4: Has the largest value of 5 and the smallest value of 1, with an average value of 3.8778 and a standard deviation of 0.94605. From the results, we can see that most customers agree with this opinion because the staff uniform has a mysterious look, is easy to operate, and creates a feeling of comfort and dynamism.

2.7.7 Descriptive advertising statistics.

Table 2.16: Descriptive statistics of advertising


Descriptive statistics


Describe

GTNN

GTLN

GTTB

Deviation

standard

QC1

Impressive advertising

2.00

5.00

3.8222

0.77282

QC2

Ads often appear on pages and

social networking site

2.00

5.00

3.8111

0.79173

QC3

Ads appear frequently

1.00

5.00

3.6778

0.89728

QC4

Advertising has clear and public content

3.00

5.00

3.8556

0.38398

(Source: SPSS results)

Through the descriptive statistics results, we can see that the number of customers participating in the survey is 90 people. In general, customers evaluate the criteria for employee uniforms with the largest value of 5 and the smallest value of 1. In general, the average value and standard deviation are not too different, specifically shown as follows:

-QC1: Has a maximum value of 5 and a minimum value of 2, with a mean value of 3.8222 and a standard deviation of 0.77282. The results show that customers agree with the statement.

Despite the above ideas, in reality there is still little advertising about the brand.

-QC2: Has the largest value of 5 and the smallest value of 2, with an average value of 3.8111 and a standard deviation of 0.79173. Thus, we can see that the majority of customers agree with the opinion because currently most customers use social networks, understanding that the company focuses on advertising and collecting customer information through these social networking sites, so that it can reach customers more easily.

- QC3: Has the largest value of 5 and the smallest value of 1, with an average value of 3.6778 and a standard deviation of 0.89728. From the results, it can be seen that most customers agree with the above opinion because in fact, advertisements are often posted on the company's homepage and posted in coffee business groups, so customers can see and know the brand more.

-QC4: Has the largest value of 5 and the smallest value of 3, with an average value of 3.8556 and a standard deviation of 0.38398. Most customers agree with the above opinion because when advertising is posted, the company always focuses on the content provided to customers, in addition, product information is clearly displayed for customers to easily recognize.

2.8 Validation of scales

2.8.1 Testing the scales - Cronbach's Alpha reliability coefficient.

- Cronbach's Alpha reliability test is the tool we need. This test reflects the close correlation between observed variables in the same factor. It shows which of the observed variables of a factor has contributed to measuring the concept of the factor and which has not.

Cronbach (1951) proposed a reliability coefficient for the scale. Note that Cronbach's Alpha coefficient only measures the reliability of the scale (including 3 or more observed variables) and cannot calculate the reliability for each observed variable (Source: Nguyen Dinh Tho, Scientific research methods in business, Finance Publishing House, 2nd edition, page 355).

- Cronbach's Alpha coefficient has a value varying in the range [0,1]. In theory, the higher this coefficient is, the better (the more reliable the scale). However, this

not completely accurate. A Cronbach's Alpha coefficient that is too large (about 0.95 or more) shows that there are many variables in the scale that are not different from each other, this phenomenon is called overlap in the scale (Nguyen Dinh Tho, Scientific research methods in business, Finance Publishing House, 2nd edition, page 364).

- Standards in testing the reliability of the Cronbach's Alpha scale

- If a measurement variable has a Corrected Item – Total Correlation coefficient ≥ 0.3, then that variable meets the requirements (Source: Nunnally, J. (1978), Psychometric Theory, New York, McGraw-Hill).

- Cronbach's Alpha coefficient value level (Source: Hoang Trong, Chu Nguyen Mong Ngoc (2008), Research data analysis with SPSS Volume 2, Hong Duc Publishing House, Page 24):

From 0.8 to close to 1: very good measurement scale.

From 0.7 to close to 0.8: good measurement scale.

From 0.6 and above: qualified measurement scale.

Table 2.17: Cronbach's Alpha reliability coefficient of the scale on "Brand Name"


Cronbach's Alpha = 0.872


Observation variable

Average scale if type

variable

Scale variance if excluded

variable

Composite variable correlation

Cronbach's Alpha if variable is excluded

1. Easy to remember brand name

14,90000

11,080

0.725

0.841

2. Brand name is easy to read.

14,9333

10,265

0.754

0.831

3.Simple, attached name

origin of raw materials

15,0222

10,539

0.771

0.829

4. Short brand name.

14,9556

11,122

0.600

0.869

5. Meaningful brand name

associative meaning

15,3000

10,257

0.668

0.855

(Source: SPSS results)

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