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所在平台: Udemy |
课程主页: https://www.udemy.com/course/quantitative-analysis-of-data-using-spss-v29/
课程评论：没有评论
课程名称：使用SPSS V29进行定量数据分析 课程概述：本课程详细探讨使用SPSS V29进行定量数据分析，这是一款在社会科学、商业、医疗和教育等研究领域广泛使用的强大软件工具。课程适合初学者和中级用户，涵盖了基本的统计技术，并引导学习者管理、分析和解释定量数据。课程时长超过4小时20分钟，包括每节课程的PDF笔记，介绍数据分析的核心概念，内容包括： - 使用SPSS V29进行数据输入、管理和清洗技术 - 描述统计，包括集中趋势和变异性测量 - 推论统计，如t检验、方差分析（ANOVA）、回归分析和卡方检验 - 多变量分析技术，包括因子分析、判别分析和聚类分析 - 有效报告和解释统计输出 - 使用图形和图表等可视化工具进行数据展示 课程还提供SPSS数据文件供学员进行实践，确保学生在真实数据集上获得实践经验。此外，每节课结束时都有小测验，以评估学生的理解和应用所学技能。通过本课程，参与者将能够有效使用SPSS V29执行复杂的统计分析，创建有意义的数据可视化，并专业清晰地报告结果，为学术研究或专业项目提供所需工具。
This course offers a detailed exploration of quantitative data analysis using SPSS V29, a powerful software tool widely used in research fields such as social sciences, business, healthcare, and education. Designed for both beginners and intermediate users, the course covers essential statistical techniques and guides learners through the process of managing, analyzing, and interpreting quantitative data. Over 4 hours and 20 minutes of recorded lectures, accompanied by PDF notes for each session, will introduce you to core concepts in data analysis, such as:Data entry, management, and cleaning techniques using SPSS V29Descriptive statistics, including measures of central tendency and variabilityInferential statistics such as t-tests, ANOVA, regression analysis, and chi-square testsMultivariate analysis techniques, including factor analysis, discriminant analysis, and cluster analysisReporting and interpreting statistical outputs effectivelyUsing visual tools like graphs and charts for data presentationThe course also includes SPSS data files for hands-on practice, ensuring that students gain practical experience working with real datasets.Additionally, a quiz at the end of each lesson allows students to assess their understanding and apply the skills learned. By the end of this course, participants will be able to effectively use SPSS V29 to perform complex statistical analyses, create meaningful data visualizations, and report results professionally and clearly, equipping them with the tools needed for academic research or professional projects.
