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Table of Contents

        1. What is Logistic Regression?
        2. Understanding the Logistic Regression M...
        3. Understanding and Logistic Regression M...
        4. Understanding the Equation of Logistic ...
        1. Concept of Odd Ratios
        2. Fundamentals, Derivation & Calculation ...
        3. Example: Calculating Odds of Lung Cance...
        1. Dataset and Resources
        1. Journal Articles
        1. Requirements for Logistic Regression An...
        2. Assumptions of Logistic Regression
        1. Setting Data and Understanding the Data...
        2. Dataset
        1. How to Code the Binary Dependent Varia...
        2. Understanding Block Option and Interact...
        3. Selecting Method and Coding Categorical...
        4. Understanding Save Option: Predicted P...
        5. Understanding Save Option: Influence - ...
        6. Understanding Save: Residuals – Standar...
        7. Understanding Classification Plots Option
        8. Understanding Hosmer-Lemeshow Goodness ...
        9. Understanding Case-wise Listing of Resi...
        10. Understanding Correlation of Estimates ...
        11. Understanding Iteration History Option
        12. Understanding CI for Exp(B) Option
        13. Including Constant in Model
        14. Understanding Classification Cutoff .5 ...
        1. Understanding Case Processing Summary &...
        2. Understanding Block 0 vs Other Blocks &...
        3. Understanding -2 Log Likelihood & R squ...
        4. Understanding Classification Table (Sen...
        5. Understanding Variables in Equation - B...
        6. Understanding Hosmer-Lemeshow & Conting...
        1. Interpretation of Hosmer-Lemeshow Test ...
        2. Interpreting Variables in Equation for ...
        3. Interpreting Wald's Test for Default Model
        4. Interpreting Odd Ratios for Variables i...
        5. Interpreting Correlation Table and Unde...
        6. Interpretation and Application of Class...
        7. Interpreting Case-wise Listing of Resid...
        8. Interpreting Predicted Probabilities an...
        9. Interpreting Cook's Distance and DFBeta
        10. Interpreting Omnibus Test Output
        11. Explaining Pseudo R Squares - 2Log Like...
        1. Writing Final Equation of Logistic Reg...
        2. APA Style Presentation of Table and Res...
        3. Logistic Regression APA Style Output

Contents

Logistic Regression Using SPSS

1
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    • SPSS

    Year of Creation: 2017

    Posted Online on: 30 July 2017

    Duration: 2 Hours 59 Minutes

    Course Description

    This course offers a fundamental introduction to Logistic Regression Analysis Using SPSS. Logistic Regression is a very powerful non-parametric regression technique often used for prediction by researchers and data scientists. Therefore, this course provides a focused explanation of the Logistic Regression along with its related concepts. The Course discusses fundamental concepts, how to perform Logistic Regression in SPSS, and how to report results in APA format.

    Learning Outcomes

    On completion of this course you will be able to:

    • Analyse data using Logistic Regression with confidence
    • Perform Logistic Regression in SPSS
    • Plan and test hypotheses based on Logistic Regression
    • Perform analysis based on Logistic Regression accurately and present the results in standard APA format.

    Requirements

    • Familiarity with basic research process will be helpful but not essential.
    • A keen desire to master Statistics and SPSS
    • A laptop with internet connection
    • Familiarity with basic computer and operating system

    Recommended Foundation Course(s)

    Students are expected to be familiar with the following Foundation course(s) before going through this course:

    • IBM SPSS Statistics Foundation Course

    Questions and Answers

    Premium Members can post their course related questions and problems in Discussion Forum to get a response.

    Certification

    You will receive a course completion certificate after completion of the course.

    Citation

    APA Style Citatation for this course:

    Singh, S. (2017). Logistic Regression Using SPSS (1st ed.). New Delhi: Scholarsight. Retrieved from https://scholarsight.com/courses/course-v1:Scholarsight+SPSS07+2021/about

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    Instructor

    Ritesh Chouhan
    Ritesh Chouhan

    Scholarsight is a Knowledge Organization. Our mission is to humanize scientific methods through technology-enabled learning. We are building Galaxy's biggest library of courses for scientists, inventors, and professionals.

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