|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/spss-data-analysis-spss-online-video-training-course/
课程评论：没有评论
课程名称：SPSS初学者：掌握SPSS 课程概述： 本课程旨在帮助没有统计或数学背景的学员使用SPSS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。课程内容涵盖从数据输入到结果解释的全过程，并提供逐步指导，帮助学员掌握SPSS中的描述性统计方法。 首先，课程将介绍SPSS界面，教你如何操作系统并避免选择变量类型和格式时常见的错误。接下来，我们将深入数据输入、排序、编辑和删除数据的过程，特别是如何使用重编码功能将任意变量转换为新变量。 在描述性统计部分，你将学习如何计算主要的描述性统计量，如均值、中位数、众数、标准差和单样本t检验等。课程还将教授如何在SPSS中创建图形、绘图和图表，并根据需要对其进行调整。 最后，我们会传授学生最希望掌握的重要技能：如何选择适合的数据分析统计技术。我们将选择合适测试的过程简化为三个简单步骤：确定研究问题、识别变量类型及数量、了解变量的测量水平。通过这三个步骤，你将能够选择合适的测试方法，并使用流程图进行20个真实研究问题的测试选择。 完成本课程后，你将会掌握以下推断统计技术的使用时机：皮尔逊相关、斯皮尔曼等级相关、肯德尔tau B相关、独立样本t检验、配对样本t检验、点二列相关、曼-惠特尼U检验、克鲁斯卡尔-沃利斯检验、卡方检验、线性回归、多重回归、二元逻辑回归、重复测量方差分析、组间方差分析、混合/分割图方差分析等等。 课程材料使用视频、幻灯片、模板文档、SPSS数据及输出文件的混合方式，确保有效传递课程内容。选择参加本课程将是你使用SPSS的最佳决策之一。课程强调内容的呈现方式与清晰的解释，使复杂的技术变得易于理解。我们的理念是：如果不能简单地解释，就说明你对内容的理解还不够深入。整个课程预计只需几天时间，所学知识将对你终生受益。
Course DescriptionThis 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.Firstly, we will take you through the SPSS interface, how to work the system and avoid some of the mistakes people make when choosing variable types and format in SPSS. After that, we will dive into entering data into SPSS, sorting, editing and removing data, and most importantly how to transform any variable into a new variable with recode functions. We will then focus on descriptive statistics in SPSS and you will learn how to run the major descriptive statistics like Mean, Median, Mode, Standard Deviation and One-Samples t-test etc.You will learn how to create graphs, plots and charts in SPSS and how to manipulate them to suit your needs.Finally, we teach you the most important skill that most students wish they had; How to choose the appropriate statistical technique to analyze data in SPSS. We have broken down choosing the right test in SPSS into 3 simple steps:What is your research question?What is the type of variable and how many do you have?What is the level of measurement of your variables?Using the three steps above, you will be able to choose the right test to use to analyze your data and we also use the flow chart to choose the right test for 20 real-life research question examples. Upon completing this course, you will know when to use the following inferential statistic techniques:Pearson CorrelationSpearman Ranked Order CorrelationKendall's Tau B CorrelationIndependent Samples T-testPaired Samples T-testPoint Bi-Serial CorrelationMann Whitney U TestKruskal Wallis Mcnemar's TestChi SquareLinear RegressionMutiple RegressionBinary Logistic RegressionRepeated Measures ANOVABetween Subject ANOVAMixed/Split-Plot ANOVAand so much more.Course MaterialsWe use a mix of video materials, slides, template documents, SPSS data and output files to make sure this course is delivered effectively.Taking this course is perhaps going to be the best decision you will ever make if you are going to use SPSS. It is not just about the content and context, it is more to do with the way the course is delivered and our ability to debunk complicated techniques. Our philosophy is; if you can't explain it simply, you don't understand it well enough. We explain everything using simple English to make sure you make the most of this course. This course should only take few days, but what you will learn will help you for the rest of your life.
