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所在平台: Udemy |
课程主页: https://www.udemy.com/course/questionnaire-validation-for-quantitative-researchers/
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课程名称：定量研究者的问卷验证 课程概述： “在实验结束后咨询统计学家，往往只是询问他进行一次尸检。他或许能说出实验死于何种原因。” 这句名言出自著名统计学家罗纳德·费舍尔。为了避免使用不有效或不可靠的问卷或研究工具，从而无法进行统计分析，本课程应运而生。课程内容源自讲师在南非各大学作为咨询统计学家的25年经验。需要注意的是，如果您需要更全面的定量研究设计课程，可以参考我的其他关于研究提案的课程，本课程主要集中在问卷的验证和可靠性上。 在问卷中，使用李克特量表的陈述必须按构念（概念）或称为维度或因子进行安排，以便对某些理论进行测试。任何用于定量研究的问卷中所用的量表构念必须有效且可靠，才能计算得分，这些得分将作为统计分析中的变量。这些变量将用于回答研究问题或检验假设。例如，在信息科学领域，技术接受模型（TAM）包含了经过验证的构念：易用性、有用性、态度和意图。这些构念组成了被用于问卷的技术接受量表。每个构念（易用性、有用性、态度和意图）将使用几条李克特量表的陈述。这份使用TAM量表的问卷将被分发，结果通过TAM模型进行分析，以测试对新技术的接受度。本课程将教导参与者如何确定用于自己问卷的有效和可靠的构念。 课程讨论的主题包括： - 一般问卷设计及建议 - 探索性因素分析在构念验证中的应用 - 克朗巴赫阿尔法系数用于测试问卷中构念的可靠性 - 在进行文献研究时如何选择经验证的问卷 - 问卷的预试 - 来自博士研究的实用案例 本课程旨在帮助参与者掌握问卷的设计及验证技巧，提高研究的有效性和可靠性。
"To consult the statistician after an experiment is finished, is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of." This quote is from the famous Statistician, Ronald Fisher. In order to avoid using a questionnaire or research instrument that is not valid or reliable and therefore not be able to do the statistical analyses, this course is developed.The lessons in this course is developed from 25 years of experience as a consulting Statistician at various Universities in South Africa.Please note that if you need a more comprehensive course on quantitative research design consider my other course on quantitative research design for a proposal, this is a short course focussing mostly on questionnaire validation and reliability.Testing perceptions with Likert scale statements in a questionnaire must be arranged as constructs(concepts) also called dimensions or factors in order to test some theory. The constructs of a scale that is used in any questionnaire for quantitative research, must be valid and reliable, before scores can be calculated which would be used as variables in the statistical analyses. These variables will then be used when answering research questions or testing hypotheses.For example, the Technology Acceptance Model(TAM) used in the Information science field, consists of the validated constructs: ease of use, usefulness, attitude and intention. These constructs forms the Technology Acceptance scale that is used in a questionnaire. For each of these constructs(ease of use, usefulness, attitude and intention) a few Likert scale statements will be used.This questionnaire with the TAM scale will then be distributed and the results analysed by using the TAM model to test the acceptance of new technology. This course will teach the participant to determine valid and reliable constructs to use in their own questionnaire.The following topics are discussed in this course: General questionnaire design and tipsThe use of Exploratory Factor Analysis for construct validation. The use of the Cronbach Alpha coefficient to test reliability of constructs in the questionnaire. How to choose a validated questionnaire when conducting the literature study. The pre-testing of the questionnaire. A practical example from a PhD.
