A researcher is analyzing a dataset to determine whether the independent variables predict students’ reading level. The dependent variable is reading level (1=good reader, 0=poor reader). The four independent variables are age, SES (1=upper, 2=middle, 3=lower), teaching approach (1=computer, 2=traditional), and amount of reading (scaled data from 1-10).
*Please refer to SPSS Commands and the Logistic Regression Example.
Test the assumption of collinearity.
Analyze the data using logistic regression analysis. Your analysis should include discussion and interpretation of the following: comparison of crude vs. adjusted odds ratios (and corresponding 95% CI), log likelihood, R Square, Wald test and p-values, logistic regression equation, goodness-of-fit tests, and predictive accuracy of the model. Include summary tables.
Length: Case assignments should be at least 3 pages (750 words) in length excluding tables.
References: Any references used should be from academic sources and cited using APA format.
Organization: Subheadings should be used to organize your paper according to question.
Format: This assignment should be written in a scientific format (as in the “Results” section of a peer-reviewed study). APA format is required for all assignments at the PhD level. Refer to the following guidelines in presenting tables and results in APA format: 1. APA Table Guidelines, 2. Reporting Results. See Syllabus page for more information on APA format.
Grammar and Spelling: While no points are deducted for minor errors, assignments are expected to adhere to standard guidelines of grammar, spelling, punctuation, and sentence syntax. Points may be deducted if grammar and spelling impact clarity.
The following items will be assessed in particular:
Relevance—All content is connected to the question.
Precision—Specific questions are addressed. Calculations, statements, facts, and statistics are specific and accurate.
Depth of discussion—Points are presented and integrated.
Evidence—Statements are well supported with facts, statistics or references.
Logic—Presented discussion makes sense; conclusions are logically supported by premises, statements, or factual information.
Clarity—Writing is concise and understandable, and subjects are sufficiently described.
Objectivity—The use of first person and subjective bias are avoided.
xplain about the logistic regression
Princeton University (N/A). Logit Models for Binary Data. Retrieved May 2016 from http://data.princeton.edu/wws509/notes/c3.pdf
Terms and concepts in logistic regression
Sperandei, S. (2014). Understanding logistic regression analysis. Retrieved June 2018 from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3936971/pdf/biochem-24-1-12-4.pdf
Park, H. (2013). An Introduction to Logistic Regression. From Basic Concepts to Interpretation with Particular Attention to the Nursing Domain. Retrieved June 2018 from https://pdfs.semanticscholar.org/3305/2b1d2363aee3ad290612109dcea0aed2a89e.pdf
Logistic regression in SPSS
Laerd Statistics. (2018). Binomial Logistic Regression Using SPSS Statistics. Retrieved June 2018 from https://statistics.laerd.com/spss-tutorials/binomial-logistic-regression-using-spss-statistics.php
Additional resources for SPSS
for a “How to do logistic regression with SPSS” follow these steps:
Go to “Recordings”
Go to Room DEL618
Go to the date of the live session
Open your speakers
Write-up results of tables and figures in APA format:
Quick, D. (N/A) Making Tables and Figures. Retrieved July, 2018 from: http://web.cortland.edu/hendrick/APA%20Making%20Tables%20and%20Figures.pdf
Kirk, S. How to write the results section. Retrieved from July, 2018 from: https://www.youtube.com/watch?v=pKAJz3eNxbg
Since all our papers are written from scratch, the papers we submit are plagiarism free and we strictly adhere to lecturer’s instructions. Our writers are highly qualified from all over the world and include graduates and professors from most of the largest and known universities in the world. Once you have assigned us your assignment, we select the most qualified and reliable writer to handle your assignment.
Unlike other writing companies, we encourage clients to draw back their money at any stage of the writing process if they experience any uncertainties with the quality of generated content. However, you will hardly have to make this decision because of our business approach that suits your needs.
We have an advanced plagiarism-detection system that flags any work that fails to meet the required academic expectations. Our company thrives in honesty, and as such, you will be guaranteed to achieve a paper that meets your expectations.
At homeworkpaper.org we have online agents that you can chat with to have your assignment taken care of with the little remaining time. Also, we have professional academic writers who will work on your assignment providing you with a high-quality paper at the same time. We can take care of your urgent assignments in less than 5 hours.
We uphold confidentiality and privacy through our interactions with clients, an aspect that has enhanced our relationship with prospective customers seeking for assignment help. We do not disclose your information with third-parties; neither do we share your work with any other person apart from you.
We do not resell previously-done tasks delivered to other clients. When we deliver orders to our clients, we safeguard their privacy and confidentiality by ensuring the third party does not access the work. By writing the papers from scratch, we have managed to maintain a certain level of originality, which defines our business model. Our qualified editors proofread all submitted work to eliminate mistakes that can interfere with the credibility of the assignment.