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所在平台: Udemy |
课程主页: https://www.udemy.com/course/spss-with-syntax/
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课程名称：初学者的SPSS - 基础知识、数据分析与APA表格 课程概述：本课程旨在教您在SPSS（IBM SPSS Statistics）中成功完成数据分析项目所需的所有知识。无论您是正在撰写论文的本科生或研究生，还是市场研究领域的专业人士，本课程将会帮助您以正确的方式使用SPSS。 课程内容包括： 1. 基础知识和技巧：了解数据编辑器、语法和输出窗口的基本操作，以及如何粘贴、运行、编辑和保存SPSS语法，及其重要性。 2. 数据准备：学习如何检查数据文件并解决常见问题，例如缺失值、字符串变量、异常值、反向编码变量、长变量名以及变量和/或值标签的缺失。课程重点关注如何在进行实际数据分析之前，正确快速地检测和修复数据问题。 3. 统计分析：详细介绍五种最常见的统计分析方法，包括卡方独立性检验、独立样本t检验、方差分析（ANOVA）、皮尔逊相关和多元线性回归分析。您将学习如何正确运行、解释和报告这些检验，并根据研究问题选择合适的检验。 4. 统计假设检验：了解如何评估每个检验所需的假设和适用的效应值度量，以及如何可视化数据趋势。 5. APA格式报告：学习如何使用SPSS工具和技巧以最小的时间和努力创建完美的APA格式表格。 本课程适合希望以最低的时间和努力交付出色SPSS成果的学员。如果您正在寻找这样的课程，欢迎加入学习！
In this course, you'll learn everything you need to know for successfully completing data analysis projects in SPSS ("IBM SPSS Statistics").Whether you're a Bachelor's or Master's student working on your thesis or a professional in market research, this course will show you how to get things done in SPSS the right way.This starts off with mastering some fundamentals such asthe basics, tips & tricks for the data editor, syntax and output windows;how to paste, run, edit & save SPSS syntax and why even do so in the first place;how to screen your data file and fix any issues you may encounter?Most other SPSS courses completely ignore these fundamentals and use only nicely prepared, problem-free data files. Sadly, this doesn't prepare you for working with real-life data because these usually contain issues such asmissing valuesstring variablesoutliersreverse coded variableslong variable names and absence of variable and/or value labels.In this course, you'll quickly learn how to detect and fix any data complications the right way before you proceed to the actual data analyses.After this data preparation section, I'll cover the 5 most sought-after statistical analyses (the "big 5 statistical tests") which are1. the chi-square independence test2. the independent samples t-test3. ANOVA (analysis of variance)4. (Pearson) correlations5. multiple linear regression analysis.You'll learn how to run, interpret and report each of these tests correctly and completely. In contrast to most other courses, I'll also coverwhich test is suitable for which research question;how to evaluate if you meet the assumptions required for each test;which effect size measures are applicable with Cohen's (1988) rules of thumb for small, medium and large effectshow to visualize the major trends in your data with charts.After successfully running some test(s), you may need to report your results in APA style. In this course, you'll learn how to create perfect APA tables with minimal time and effort by usingsome handy SPSS tools & tricks for getting the right table contents and layout;Excel or Googlesheets for styling your tables (numeric formats, alignment, row heights);WORD or GoogleDocs for column widths, titles and final reporting.Are you looking for the one course that shows how to deliver outstanding SPSS work with minimal time and effort?Look no further.See you in the course!Ruben (founder, SPSS tutorials)
