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所在平台: Udemy |
课程主页: https://www.udemy.com/course/spss-gui-understanding-and-user-training/
课程评论：没有评论
课程名称：SPSS GUI 理解与用户培训 课程概述：如果您是绝对初学者，不了解SPSS，那么本课程非常适合您。在完成该课程后，您将能够创建SPSS数据集，处理数据（选择案例、拆分文件、加权数据等），总结和可视化数据（利用图表和表格），计算数据系列的统计指标，并进行几种统计检验（卡方检验和独立样本t检验）。简而言之，您将对SPSS的工作原理及其应用有一个扎实的了解。 本课程提供了SPSS软件程序的入门介绍。我们将学习如何开始使用SPSS，包括创建变量和输入数据。接下来，我们将介绍如何创建数值标签和输入一些基本数据。课程还包括修改数据文件，如添加和排序变量。此外，我们将涵盖多种描述性统计，包括条形图、干叶图和集中趋势的测量。最后，课程以假设检验作为结束，涵盖皮尔逊r相关系数。 这个SPSS数据分析课程旨在帮助没有统计或数学背景的人士在SPSS中进行数据分析，选择合适的描述性统计技术，并自信地撰写研究结果。课程内容包括从输入数据到结果解释的所有步骤，并提供简单易行的指南，帮助学员掌握SPSS中的描述性统计。
If you are an absolute beginner and don't know anything about SPSS, this course is for you. After completing it, you will know how to create an SPSS data set, how to work with your data (select cases, split files, weigh data etc.), how to summarize and visualize your data with charts and tables, how to compute the statistical indicators for your data series, and also how to perform a couple of statistical tests (the ch-square test for association and the independent samples t test). In a word, you will have a solid idea about how SPSS works and what you can do with it. In this course, an introduction to the SPSS software program is provided. We'll take a look at how to get started in SPSS, including creating variables and entering data. After that, we'll cover creating value labels and entering some basic data. Modifying data files, including adding and sorting variables is then covered. After this, a number of descriptive statistics are covered, including bar graphs, stem and leaf plots, and measures of central tendency. Finally, the course concludes with hypothesis testing, with coverage of the Pearson r correlation coefficient.This SPSS data analysis course was created for one reason, which is to help anyone without statistics or mathematics background to analyze data in SPSS, choose the right descriptive statistics technique and write up the result of the findings with confidence. The course covers everything from entering data into SPSS to interpreting the result and offers easy step-by-step guide to mastering descriptive statistics in SPSS.
