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所在平台: Udemy |
课程主页: https://www.udemy.com/course/spss-for-nonstatisticians/
课程评论：没有评论
课程名称：非统计学者的SPSS：分析、解释与写作 课程概述：本课程面向没有强大统计背景（甚至没有任何统计学背景）的学生、研究人员和数据分析师，旨在通过简单、实用的方法教授统计数据分析、解释和APA格式报告。课程由Alexander Mtembenuzeni主讲，他在YouTube上发布的“15分钟学会SPSS”视频已获得超过190万次观看和众多好评，采用相同的简单解释方式设计。本课程的目标是帮助学员在不需要复杂理论的情况下完成研究项目。 课程内容从SPSS和统计学的绝对初学者入手，包括熟悉SPSS界面、创建变量、输入数据，以及运行、解释和报告基本分析。课程进一步介绍了推断测试和假设检验，包括t检验、方差分析（ANOVA）和线性回归等统计方法。内容涵盖： - 数据输入、导入与准备 - 使用描述性统计总结数据 - 探索不同类型变量之间的关系 - 选择适当的图表并进行开发 - 转换变量，管理数据以适应分析需求 - 选择适当的推断测试（如卡方检验、t检验和回归分析）并执行 - 如何解释课程中呈现的所有统计数据 - 使用APA格式撰写报告、论文或学位论文中的结果 本课程适合希望掌握SPSS基础及统计分析技巧的学员，让复杂的统计变得简单易懂。
For students, researchers and data analysts who don't have a strong statistical background (or any statistical background), this course teaches you statistical data analysis, interpretation, and APA reporting in a simple, practical approach.Alexander Mtembenuzeni takes the same simple explanations approach he took with the "Learn SPSS in 15 minutes" video on YouTube (now with over 1.9 million views and so many great comments) and used it to create this course.The goal of this course is to get you to complete your research project without the need to go through complicated theories!The course takes you from absolute beginner of SPSS and statistics with lessons such as getting familiar with the SPSS interface, creating variables, entering data, and running, interpreting and reporting basic analyses. From there, you will be introduced to inferential tests and hypothesis testing with statistics such as t-tests, ANOVA and linear regressions.The course covers:Data entry, data importing and preparationSummarizing data using descriptive statisticsExploring relationships between different types of variablesChoosing appropriate charts and developing themTransforming variables and managing the data to suit your analysesChoosing the appropriate inferential tests such as chi-square, t-tests and regression and running themHow to interpret all the statistics presented in the course And how to write your results in your reports, dissertations, or thesis using the APA format
