Dont copy from other posts it should be original Locate a scholarly article in a

Question

Dont copy from other posts it should be original

Locate a scholarly article in a psychology journal that utilizes a hypothesis test. Use library resources, attached in course materials, if you need help finding an article.

In 500-750 words, do the following:

1- Describe the hypothesis test

2- Discuss the hypothesis’ role in the context of the whole article (i.e., what information does it actually give, what were the results of the test).

3- Consider the following questions while you are reading the article and writing your analysis.

What is the research question?

What is the null hypothesis?

What is the alternative hypothesis?

Which test statistics was used?

What level of significance was used?

What were the calculated results?

What statistical conclusion was reached?

What was the experimental conclusion?

What, if any, future research was suggested?

Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are required to submit this assignment to Turnitin. Please refer to the directions in the Student Success Center.

Explanation / Answer

Project on "impact of affective loyalty and perceived card benefits on consumers’ intension to continue to use the loyality card from retail fuel companies in india."



The aim of this study was to identify the impact of affective loyalty and perceived card benefits on consumers’ intension to continue to use the card. The empirical studies revealed that affective loyalty and perceived card benefits were positively correlated with consumers’ intension to continue to use the card. In this cross-sectional correlation field study, data on the two independent variables and the dependent variable were collected from customers of retail fuel companies in Delhi & NCR through online questionnaires.

The population for the study comprised all consumers of retail fuel companies Delhi & NCR. The total sample size was 110 and responses were received from 107. The data analysis was done using the SPSS software and several techniques like Factor analysis, Correlation & regression and Chi-square were used to establish the fact revealed by empirical studies. The final results indicate that there is less awareness about loyalty card being offered by retail fuel companies in India and its benefits. Pearson correlation revealed that weak, positive linear correlation exists between (r=0.334, N=107, p<0.001) retail fuel companies’ consumers’ intension to use the card and perceived benefits of the card. Spearman’s correlation revealed a moderate, positive correlation between retail fuel companies’ consumers’ intension to use the card and affective loyalty which was statistically significant (r=0.452, N=107, p<0.001).

The report further conclude that there is a relationship between monthly expenditure on fuel and owing a loyalty card but no relationship exists between the gender of a consumer and use of card benefits.

On the basis of data analysis, it is recommended that retail fuel companies should focus on creating more awareness about the loyalty cards amongst its consumers and the benefits that accompany the loyalty card. Since, the perceived card benefits have a positive impact on consumers’ intension to use the card, benefits should be attractive and consumers should be well informed about them. Companies should collect data of their consumers and create awareness about loyalty card among high spending consumers. More focus should be on improving consumers shopping experience and building trust in the relationship


1. Hypothesis tests resolve conflicts between two competing opinions (hypotheses).

2. The Hypothesis in the project revealed that:   
     Pearson correlation revealed that weak, positive linear correlation exists between (r=0.334, N=107, p<0.001) retail fuel companies’ consumers’ intension to use the card and perceived benefits of the card. Spearman’s correlation revealed a moderate, positive correlation between retail fuel companies’ consumers’ intension to use the card and affective loyalty which was statistically significant.

     The report further conclude that there is a relationship between monthly expenditure on fuel and owing a loyalty card but no relationship exists between the gender of a consumer and use of card benefits.

3.

A. What is the research question?

What is the role of affective loyalty and perceived card benefits in driving the intension of customers to continue to use the loyalty cards being offered by retail fuel companies in India.

B. What is the null hypothesis?
  

H10: There is a statistically no correlation between affective loyalty and consumer intension to continue to use the card.

H1A: There is statistically correlation exists between affective loyalty and consumer’s intension to continue to use the card.

H20: There is a statistically no correlation between perceived benefits of cards and consumer’s intension to continue to use the card.

H2A: There is statistically correlation exists between perceived benefits of cards and consumer’s intension to continue to use the card.

H30: There is a statistically no significant impact of perceived benefits of card on consumer’s intension to continue to use the card.

H3A: There is statistically significant impact of perceived benefits of card on consumer’s intension to continue to use the card.

C. What is the alternative hypothesis?

Alternate Hypothesis are given as H1A,H2A & H3A in above quation no B.

D Which test statistics was used?

1. Correlation & regression (Pearson Correlation & Spearman correlation used)

2. Chi-Square test used.

3. T-test used.

E What level of significance was used?

Leve of signifiacation was 0.05

F. What were the calculated results?
  

The final results indicate that there is less awareness about loyalty card being offered by retail fuel companies in India and its benefits. Pearson correlation revealed that weak, positive linear correlation exists between (r=0.334, N=107, p<0.001) retail fuel companies’ consumers’ intension to use the card and perceived benefits of the card. Spearman’s correlation revealed a moderate, positive correlation between retail fuel companies’ consumers’ intension to use the card and affective loyalty which was statistically significant (r=0.452, N=107, p<0.001).

The report further conclude that there is a relationship between monthly expenditure on fuel and owing a loyalty card but no relationship exists between the gender of a consumer and use of card benefits.

G. What statistical conclusion was reached?

  On the basis of data analysis, it is recommended that retail fuel companies should focus on creating more awareness about the loyalty cards amongst its consumers and the benefits that accompany the loyalty card. Since, the perceived card benefits have a positive impact on consumers’ intension to use the card, benefits should be attractive and consumers should be well informed about them. Companies should collect data of their consumers and create awareness about loyalty card among high spending consumers. More focus should be on improving consumers shopping experience and building trust in the relationship.

H. What was the experimental conclusion?

     The significant Pearson correlation coefficient value of 0.334 confirms that there appears to be a weak positive correlation between the two variables.

The Spearman’s correlation coefficient value of 0.452 confirms what was apparent from the graph, i.e. there appears to be a positive correlation between the two variables.

  The significant Pearson correlation coefficient value of 0.452 confirms that there appears to be a moderate positive correlation between the two variables.

The value of R is 0.334 which indicates a low degree of correlation and R2 is 0.112 which means only 11.2% of variation in consumer intension to continue to use the card can be explained by the independent variable i.e. perceived card benefits.

Given a significance level of 10% and df=1, we find the critical value as X20.10, 1=2.706. Hence, the   decision rule is to reject H0 if X20.10,1>2.706. Since, X20.10,1=0.078<2.706, we cannot reject the null hypothesis. At 10% significance level, we conclude that the two qualitative variables are independent.

I. What, if any, future research was suggested?

  On the basis of data analysis, it is recommended that retail fuel companies should focus on creating more awareness about the loyalty cards amongst its consumers and the benefits that accompany the loyalty card. Since, the perceived card benefits have a positive impact on consumers’ intension to use the card, benefits should be attractive and consumers should be well informed about them. Companies should collect data of their consumers and create awareness about loyalty card among high spending consumers. More focus should be on improving consumers shopping experience and building trust in the relationship.

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