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所在平台: Udemy |
课程主页: https://www.udemy.com/course/spss-masterclass-a-comprehensive-course-for-uni-students/
课程评论：没有评论
课程名称：SPSS大师班：大学生综合课程 概述：该课程由具有心理学和神经科学学士、硕士及博士学位，并在大学生教育领域拥有十多年经验的讲师设计，旨在帮助社会科学专业的学生掌握在学习过程中常遇到的大多数分析方法。 课程涵盖的分析内容包括： - 独立样本t检验 - 曼-惠特尼U检验 - 配对样本t检验 - 威尔科克森符号秩检验 - 卡方拟合优度检验 - 卡方独立性检验 - 单因素独立（即跨受试者）方差分析（ANOVA） - 克鲁斯克尔-瓦利斯检验 - 单因素重复测量（即跨受试者）方差分析 - 弗里德曼检验 - 双因素独立（即跨受试者）方差分析 - 皮尔逊相关分析 - 斯皮尔曼相关分析 - 双因素混合方差分析 - 单因素独立（即跨受试者）协方差分析 - 单因素独立（即跨受试者）多变量方差分析 - 简单线性回归 - 多重线性回归 - 二元逻辑回归 此外，课程还涉及问卷数据的处理，重点包括数据输入、识别和标记无效回应、反向编码、内部可靠性，以及创建均值和总分。 学习内容： 对于每种分析方法，学员将获得清晰的逐步指导，内容涵盖何时使用这些分析、如何输入数据、如何检查假设、如何运行检验、如何绘制图表、如何解释结果，以及如何按照APA格式报告结果。掌握这些知识后，学员将在大学同伴中处于领先地位！ 资源： 课程每节聚焦不同的分析，提供使用的视频数据文件、分析关键信息的详细说明（例如，使用时机、示例假设、假设条件）以及示例的APA结果部分。学员还将获得术语解释词汇表。 作业： 每节课附带一个额外的数据集（未在视频中使用），学员可以利用该数据集进行分析训练和结果报告。如果选择完成作业，学员可以下载基于这些数据集的示例结果部分，以评估是否正确运行测试及准确报告结果。
Drawing on my BSc, MSc, and PhD degrees in psychology and neuroscience and over a decade of experience working with university students, especially those studying social sciences, I designed this course to cover the majority of analyses that students usually encounter in during their degrees.The Analyses Covered By the CourseThe course covers the following analyses: Independent t-testsMann-Whitney U tests Paired t-testsWilcoxon signed-rank testsChi-squared goodness of fit testsChi-squared tests of independenceOne-way independent (i.e., between-subjects) ANOVAsKruskal-Wallis testsOne-way repeated measures (i.e., within-subjects) ANOVAsFriedman testsTwo-way independent (i.e., between-subjects) ANOVAsPearson correlation analysesSpearman correlation analysesTwo-way mixed ANOVAsOne-way independent (i.e., between-subjects) ANCOVAsOne-way independent (i.e., between-subjects) MANOVAsSimple linear regressionMultiple linear regressionBinary logistic regressionAdditionally, the course covers how to process questionnaire data, focusing on entering data, identifying and labelling invalid responses, reverse coding, internal reliability, and creating mean (i.e., average) and sum (i.e., total) scores. What You'll LearnFor each of the analyses, you'll receive clear, step-by-step guidance on when to use them, how to enter the data, how to check assumptions, how to run the test, how to create a graph, how to interpret the results, and how to report the results in APA style. With this knowledge, you'll be a step ahead of your university peers!ResourcesEach section of the course focuses on a different analysis and comes with a range of valuable resources, including the data files used in the videos, information sheets with key details about the analyses (e.g., when to use them, example hypotheses, assumptions), and example APA results sections. You'll also receive a glossary explaining all the terms used in the videos.AssignmentsEach section comes with an additional data set (not used in the videos) that you can use to practice running the analysis and reporting the results. If you choose to complete the assignments, you can download example results sections based on these data sets to assess whether you ran the test correctly and how accurately you reported the results.
