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所在平台: Udemy |
课程主页: https://www.udemy.com/course/social-research-with-logistic-regression-in-spss/
课程评论：没有评论
课程名称：SPSS中的逻辑回归：完全指南 课程概述： 《SPSS中的逻辑回归：完全指南》是一门专为社会科学初学者设计的课程。本课程是唯一在Udemy上提供的，旨在教您如何在SPSS中执行、解释和可视化逻辑回归，使用真实世界的示例，并通过定量研究过程进行学习。你将跟随讲师的指导，掌握在定量研究报告、论文或学位论文中使用回归分析所需的所有知识。特别适合学习社会科学或希望提高统计技能与素养的学生。 课程内容： - 了解逻辑回归的定义、用途以及为何应考虑使用它。 - 学会批判性思考研究问题，假设，寻找数据集及变量。 - 跟随实际案例的示范，学习如何在SPSS中执行简单的逻辑回归，并解释和可视化结果。 - 学习如何在SPSS中进行多元逻辑回归并得出统计结论。 - 本课程排除了复杂的数学和统计分析，以易于理解的方式进行讲解。 课程成果： 完成课程后，您将充分理解： - 逻辑回归分析的概念及其用途。 - 如何制定研究问题和假设。 - 独立识别适合回归分析的数据源和变量。 - 如何在SPSS中导入和清理数据。 - 如何构建自己的逻辑回归模型。 - 如何解读回归输出的结果并在研究报告中可视化结果。 - 提高使用定量数据的信心，并能通过真实世界的社会科学示例进行学习。 为何选择这门课程？ 逻辑回归是用于预测某一二元事件（如通过/未通过、真/假、健康/生病）发生概率的一种统计模型。社会研究者、社会科学学生及学者们愈发重视逻辑回归等定量方法，因为在合适的数据集下，这些方法能够统计性地量化现实社会问题。雇主越来越看重具备社会科学知识和数据分析技能（如逻辑回归）的学生，英国的Nuffield基金会也强调了劳动市场上数量技能不足的社会科学学生，为提高定量研究方法的知识提供了大量资金支持。 先修要求： 本课程面向希望将逻辑回归与SPSS结合应用于学习或工作中的学生、专业人士和初学者。不必担心统计学，因为该课程没有数学内容。虽然具备一些其他定量方法的基础知识和SPSS的使用经验会有帮助，但并非必需。对于数据分析和研究的热情将使学习过程更加愉快！需要良好的英语水平和SPSS访问权限。
Logistic Regression in SPSS: A Complete Guide for Beginners in the Social SciencesThe only course on Udemy that shows you how to perform, interpret and visualize logistic regression in SPSS, using a real world example, using the quantitative research process. Follow along with me as I talk you through everything you need to know to become confident in using regression analysis in your quantitative research report, dissertation or thesis. Perfect for those studying social science subjects or want to increase their statistical confidence and literacy. What's in the course?Learn what logistic regression is, why it is so useful and why you should consider using it Start to think critically about research questions, hypothesis, finding a dataset and thinking about variables. Follow along with an over-the-shoulder example Learn how to perform a simple logistic regression in SPSS and how to interpret and visualize the findingsLearn how to perform multiple logistic regression in SPSS and make statistical conclusions Don't fall for other courses that are over-technical, math's based and heavy on statistics! This course cuts all that out and explains in a way that is easy to understand! Course outcomesOn completion of the course you will fully understand:What logistic regression analysis is and what is used forLearn how to formulate a research question and hypothesisHow to independently identify what data sources and variables are suitable for regression analysisLearn how to import and clean your data in SPSSBuild your own logistic regression model in SPSSHow to interpret the results of a regression outputInterpret and visualize the findings from your model into your research reportincrease your confidence in using quantitative dataLearn this with a real world social science example, you can follow along with. This is the only course on Udemy that shows you from start to finish how regression analysis can be used in your research report from theory to practice.Why take this course?Logistics regression is a statistical model that is used to predict the probability of a certain outcome or event occurring, when that outcome or event is binary (such as pass/fail, true/false, healthy/sick). Logistic regression is used to describe the likelihood of something happening. Social researchers, social science students and academics are increasingly turning to quantitative methods such as logistic regression in their research because, given the right dataset, gives the opportunity to statistically quantify real world social issues.Regression analysis is used to produce headlines like this:Black people ‘40 times more likely' to be stopped and searched in UKSchools in poorer areas 4x more likely to have Higher grades downgradedTeens who use e-cigarettes up to 5x time more likely to start smokingProspective employers are increasingly looking for students who are experienced in the social sciences but also are confident in data analysis techniques, like logistic regression. The Nuffield Foundation in the UK has highlighted the shortage of quantitatively-skilled social science students in the labour market and has since offered millions of pounds in funding to UK universities in a bid to increase knowledge in quantitative research methods.Pre-requisitesThis course is aimed at students, professionals and beginners in the field who want to begin using the power of logistics regression with SPSS into their study or work. Please don't be scared about statistics, there is NO math's involved in this course. Prior experience of some other quantitative methods and some use of SPSS would be useful, but it is definitely not essential. A passion for data analysis and research will make the process much more enjoyable! Good level of English and access to SPSS is required.
