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所在平台: Udemy |
课程主页: https://www.udemy.com/course/survey-data/
课程评论：没有评论
课程名称：统计学 / 数据分析：调查数据与Likert量表 课程概述：本课程于2019年11月上线，旨在指导学习者在SPSS中输入和处理问卷/调查数据及Likert量表的关键步骤。课程内容包括在SPSS中创建变量、输入值标签、利用统计分析识别数据录入错误、反向编码Likert项目、计算总分（复合分数）、进行Likert量表的可靠性分析，以及计算其他统计量（如频率、描述性统计（均值和标准差）和相关性）。此外，课程还涵盖了一些SPSS中的数据库管理技能。 课程特色：由获奖大学讲师授课，注重简洁明了的逐步讲解。课程学习内容包括： - 如何在SPSS中输入定性和定量变量的问卷数据 - 如何反向编码带有否定含义的Likert量表项目 - 如何在SPSS中创建复合（总）分数 - 如何在SPSS中进行可靠性分析（系数α） - 如何利用统计分析检测数据录入错误 - 如何使用SPSS语法快速高效地分析数据 - 如何在SPSS中对真/假（两分）数据进行评分/重编码 - 如何在Microsoft Word中创建专业的Likert量表 - 学习SPSS数据库管理技能，包括插入变量和案例、重编码变量、同时为多个变量应用值标签、处理SPSS中的缺失值等 - 学习如何在SPSS中进行统计分析，包括频率、描述统计、相关性等 本课程特别适合希望提升SPSS数据处理技能的专业人士、从事调查研究的研究人员，以及正在进行论文或其他研究项目的学生。注意，本课程主要关注问卷/调查数据和Likert量表，若需对SPSS数据分析有更深入的了解，建议学习我们的描述性和推断统计课程。
November, 2019.This course takes the viewer through the key steps of entering and processing questionnaire/survey data and Likert scales in SPSS, including creating variables in SPSS, entering value labels, using statistical analyses to identify data entry errors, recoding Likert items, computing total (composite) scores, conducting reliability analyses of Likert scales, and computing other statistics, including frequencies, descriptive statistics (mean and standard deviation), and correlations. In addition to this, a number of additional database management skills in SPSS are also covered. Created by an award-winning university instructor with a focus on simple and accurate (step by step) explanations of the material. Specifically, in this course you will learn the following: How to enter questionnaire data for qualitative and quantitative variables in SPSSHow to reverse code negatively-worded Likert scale itemsHow to create composite (total) scores in SPSSHow to conduct reliability analyses (coefficient alpha) in SPSSHow to use statistical analysis to detect data entry errorsHow to use SPSS syntax to quickly and efficiently analyze dataHow to score/recode true/false (dichotomous) data in SPSSHow to create professional looking Likert scales in Microsoft WordLearn SPSS database management skills, including inserting variables and cases, recoding variables, applying value labels to several variables at once, handling missing values in SPSS, and moreLearn how to conduct statistical analyses in SPSS, including frequencies, descriptives, correlation, and more. (The primary focus of this course is on questionnaire/survey data and Likert scales; for a more detailed look at data analysis in SPSS, our courses descriptive and inferential statistics in SPSS courses are recommended) This course is perfect for professionals looking to increase the data processing skills in SPSS, for those working on survey research, and for students working on theses or dissertations (or other research projects).
