Designing a questionnaire survey 设计一份问卷调查

When designing a questionnaire, there are several ways you can approach the study 在设计问卷调查时,你有几种方法可以进行研究:

Use closed questions (fixed choice of answers), to generate data for easy analysis.

Use open questions (space to write any answer) for more detailed individual answers.

Keep questions and instructions clear and easy to understand.

Ask purposeful questions to help find information needed for the study.

Pre-code closed questions for quick analysis of the answers.

Carry out a pilot study first, a test run, making changes if needed.

Use attitude scales to test strength of feeling.

使用封闭式问题(固定的答案选择),以产生数据,便于分析。

使用开放性问题(可写任何答案的空间),以获得更详细的个人答案。

保持问题和指示的清晰和易懂。

提出有目的的问题,以帮助找到研究所需的信息。

预先对封闭式问题进行编码,以便对答案进行快速分析。

首先进行试点研究,进行试运行,如果需要的话,进行修改。

使用态度量表来测试感觉的强度。

心理学三线表怎么调?A-level心理学知识点笔记整理(1)

Strengths and weaknesses of questionnaires 问卷调查的优势和劣势

Strengths: 优势

Weaknesses 弱点:

Many people can be tested quickly. It is easy to generate quantitative data and easy to analyse.

Interviews 采访

Interviews are face-to-face conversations, these can be unstructured, apparently informal chats, or they can be formal, structured interviews with pre-determined questions. For example, clinical tests used in psychiatry.

Interviews are recorded for later, in-depth analysis.

访谈是面对面的交谈,可以是无组织的、明显是非正式的聊天,也可以是正式的、有结构的访谈,有预先确定的问题。例如,精神病学中使用的临床测试。

访谈被记录下来,以便日后进行深入分析。

Strengths and weaknesses of interviews 访谈的优势和劣势

Strengths 优势:

Weaknesses 弱点:

Detailed information can be obtained and avoids oversimplifying complex issues.

可以获得详细的信息,避免将复杂的问题过度简化。

Difficult to analyse if unstructured and qualitative in nature.

如果是非结构性的和定性的,则难以分析。

Greater attention to individual's point of view this is important in clinical psychology.

更加关注个人的观点,这在临床心理学中很重要。

Time-consuming, expensive.

费时、费钱。

unstructured, casual interviews may encourage openness in answers.

非结构化的、随意的访谈可以鼓励开放性的回答。

Possible interviewer effects. For example, people affected by attractiveness of interviewer!

可能的采访者效应。例如,人们受到采访者吸引力的影响。

心理学三线表怎么调?A-level心理学知识点笔记整理(2)

Qualitative data analysis 定性数据分析

Research can be described as quantitative or qualitative. 研究可以被描述为定量或定性的。

Quantitative research: Gathers data in numerical form and is concerned with making 'scientific' measurements. Quantitative data analysis uses a barrage of inferential statistical tests.

Qualitative research: Gathers information that is not in numerical form. For example, diary accounts, open-ended questionnaires, unstructured interviews and unstructured observations.

定量研究:以数字形式收集数据,并关注进行 "科学 "测量。定量数据分析使用大量的推断性统计测试。

定性研究:收集非数字形式的信息。例如,日记、开放式问卷、非结构化的访谈和非结构化的观察。

Qualitative research is useful for studies at the individual level, and to find out, in depth, the ways in which people think or feel.

Analysis of qualitative data is difficult and requires accurate description of participant responses, for example, sorting responses to open questions and interviews into broad themes.

Quotations from diaries or interviews might be used to illustrate points of analysis.

定性研究对个人层面的研究很有用,可以深入了解人们的思维或感受方式。

对定性数据的分析是困难的,需要对参与者的反应进行准确的描述,例如,将对开放性问题和访谈的反应整理成广泛的主题。

可以用日记或访谈中的引文来说明分析的要点。

Expert knowledge of an area is necessary to try to interpret qualitative data and great care must be taken when doing so, for example, if looking for symptoms of mental illness.

Accurate descriptions of individual behaviour patterns might be crucial to diagnosis, treatment and follow-up of a person with a mental disorder.

试图解释定性数据时,需要有某一领域的专家知识,而且在这样做时必须非常小心,例如,如果寻找精神疾病的症状。

对个人行为模式的准确描述可能对精神障碍患者的诊断、治疗和后续治疗至关重要。

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