Using A Report Of A Quantitative Business Survey
Using A Report Of A Quantitative Business Survey That Meets The Criter
Using a report of a quantitative business survey that meets the criteria in Study 4 described in this unit, complete a post with the following: Identify and briefly describe the study. (It is suggested that you extract a persistent link to the library article that you selected so that your colleagues can readily inspect your study. See Persistent Links and DOIs (linked in Resources) for making persistent links from library journal databases.) Identify the research question or questions that the research attempts to answer. For each variable in the study, identify the type (independent, dependent, moderating, mediating, and so on). For each variable, identify the level of measurement (nominal, ordinal, interval, or ratio). Format your post according to current APA guidelines.
Paper For Above instruction
The significance of conducting and analyzing quantitative business surveys lies in their ability to provide empirical insights into various organizational phenomena, consumer behaviors, and market trends. This paper examines a representative study that employs a quantitative survey methodology, aligning with the criteria outlined in Study 4 of the course materials. The chosen research investigates customer satisfaction levels in retail banking, an area critical for strategic decision-making in financial institutions.
The study in question was published in the Journal of Business Research and is accessible via persistent link [insert link here]. The research aimed to explore the relationship between service quality and customer satisfaction among retail bank clients. Data collection involved a structured questionnaire distributed to a sample of 500 bank customers across multiple branches in a metropolitan area. The survey's design included closed-ended questions rated on Likert scales, facilitating quantitative analysis.
The primary research question was: "How does perceived service quality influence customer satisfaction in retail banking?" To address this, the study examined several variables. The independent variable was perceived service quality, measured using a composite score derived from customer ratings of service dimensions such as reliability, responsiveness, assurance, empathy, and tangible cues. This variable was operationalized on an interval scale due to the Likert-scale ratings, which permit the measurement of degrees of agreement or perception.
The dependent variable was customer satisfaction, assessed through a Likert-scale item asking respondents to rate their overall satisfaction with the bank services. Since this response was also measured on an ordinal scale, it provided a ranked but not equidistant measure of satisfaction levels.
Additionally, the study included moderating variables such as customer demographic characteristics—specifically age and income. These were measured as nominal variables for gender (male/female) and ordinal variables for income brackets. Age was treated as a ratio variable, collected as exact age in years, which allows for meaningful mathematical operations.
The researchers employed statistical techniques suitable for each variable type, including correlation analysis and multiple regression, to determine the impact of service quality on satisfaction while controlling for demographic moderators. The findings indicated a significant positive relationship between perceived service quality and customer satisfaction, with demographic factors influencing the strength of this relationship.
In conclusion, this study exemplifies a rigorous quantitative survey aligned with the criteria described in Study 4. It clearly delineates variables by type and level of measurement, providing an insightful case for understanding how survey-based research can inform business strategies. Proper adherence to APA formatting is observed throughout the report, underscoring the importance of standardized scholarly communication.
References
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