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Essay Available:
Pages:
2 pages/β‰ˆ550 words
Sources:
5 Sources
Style:
APA
Subject:
Mathematics & Economics
Type:
Research Paper
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
$ 10.37
Topic:

Statistical Analysis of Online Shoppers

Research Paper Instructions:

answer four questions in APA format. please see the attachment

Format: Your report should be in APA (version 7) format and include the following sections (doubled spaced): - Title Page - Methods - Tables - References The Owl Purdue website is a fantastic source for everything related to APA 7. It is recommended that you look at their sample paper and other resources for APA guidance. https://owl.purdue.edu/owl/research_and_citation/apa_style/apa_style_intro duction.html Tips for reporting statistics and numbers in APA format: https://apastyle.apa.org/instructional-aids/numbers-statistics-guide.pdf Instructions: Title Page: Please include your name, student number, and a title that reflects your project. Methods: Should include the following sections: participants, measures, and analyses. Please consult the examples shared in class for the specific instructions for each section. • Participants Section: Needs to include a minimum of 5 variables. • Measures Section: Must include a paragraph for both measures used in your dataset (i.e., satisfaction, depression, well-being). The paragraph must include the name of the measure, an example item, the scale it uses, a description of how the variable is calculated (i.e., recoding, sum, or mean), the interpretation of the score, the alpha, and the mean and standard deviation of the variable you created. • Analyses Section: Must include the 4 research questions from your topic booklet and how you will answer them (i.e., with which test). Tables: Provide two APA-style tables containing the descriptive statistics for your categorical and continuous variables. References: Please include an APA format reference list of any sources that were used to complete your work.

Research Paper Sample Content Preview:

Statistics Analysis of Online Shopping
Name:
Student Number:
Methods
This section includes participants, measures, and analyses.
Participants
This project used a sample of 200 adults who had done online shopping in the last six months. Out of the 200, 104 were females, while 96 were males. The participants were aged between 18 and 65 years. The variables in the sample include sex, age, purchases, expenditure, type of online purchases, well-being, and impulsivity.
Measures
Well-Being
This measure consists of 14 items covering online shoppers' mental well-being. An example of an item in this measure is "I've been feeling optimistic about the future". The measure uses a 5-point Likert scale where a score of 1 represents none of the time, 2-rarely, 3-some of the time, 4-often, and 5- all of the time. The total well-being score is obtained by summing the scores of the 14 items to give a score between 14 and 70 (Tennant et al.,2007). A higher score equals higher well-being. On average, the total well-being score was 42.7, with a standard deviation of 13.7.
Impulsivity
This measure consists of 10 items that cover the impulsivity of online shoppers. An example of an item in this measure is "I have trouble controlling my impulses". The measure uses a scale of 0 (not at all) to 4 (completely). The total impulsivity score is obtained by summing the scores of the ten items to give a score of between 10 and 40 (Magid & Colder, 2007). Higher scores mean increased impulsivity. On average, the total impulsivity score was 25.1, with a standard deviation of 8.8.
Analyses
This project aimed to answer four research questions:
1 Is there a difference between those who make essential and non-essential purchases in terms of total purchases?
An independent sample t-test was carried out to answer this research question. An independent t-test compares two unrelated samples to establish whether the means of the populations from which the samples are drawn are statistically different (Gerald, 2018). The hypotheses formulated are as follows:
H0: There is no significant difference between those who make essential and non-essential purchases in terms of total purchases
H1: There is a significant difference between those who make essential and non-essential purchases in terms of total purchases
The results indicate a significant difference in total purchases between those who make essential and non-essential purchases, t (198) = -7.55, p <.001. The average total purchases for those who make essential purchases (M = 10.52, SD = 8.47) was significantly different from those who make non essential purchases (M = 19.32, SD = 7.97).
2 Are there any gender differences between those who make essential online purchases and those who make non-essential purchases?
A Chi-square test was conducted to answer this question. A chi-square test allows a researcher to assess whether two categorical variables are associated with each other (Nihan, 2020). The following hypotheses were formulated:
H0: There are no gender differences between those who make essential online purchases and those who make non-essential purchases
H1: There are gender differences between those who make essential online purchases and those ...
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