SPSS - 问题类型

发布于 2024-10-27 02:26:27 字数 752 浏览 3 评论 0原文

我解决了以下问题,但是 我还有另一个问题。我想 分析“李克特量表”问卷 测量值为 1 到 5(同意, 强烈同意等)。我尝试了很多 方式,但我没有结合所有结果。 你有什么想法可以分析吗 李克特量表?


有人帮助我们在 SPSS 变量视图中定义以下类型的问题吗? (看起来像数组问题,用户的答案不是唯一的,他们可以输入文本)

问题 1:

Allows a table of text inputs
+----------------------------------------------+
|            Speed     Design      Accuracy    |
+----------+---------+----------+--------------+
| Google   |         |          |              |
+----------+---------+----------+--------------+
| Yahoo    |         |          |              |
+----------+---------+----------+--------------+
| Bing     |         |          |              |
+----------+---------+----------+--------------+

I resolved the following question but
I have another issue. I would like to
analyse "Likert Scale" questionaire
which is measured 1 to 5 ( agree,
strongly agree etc ). I tried many
ways but I didn't combine all results.
Have you got any idea to analyze
likert scale?


Does anybody help us to define following type of question in SPSS variable view?
( looks like array question, user answers non unique which they can enter text )

QUESTION 1:

Allows a table of text inputs
+----------------------------------------------+
|            Speed     Design      Accuracy    |
+----------+---------+----------+--------------+
| Google   |         |          |              |
+----------+---------+----------+--------------+
| Yahoo    |         |          |              |
+----------+---------+----------+--------------+
| Bing     |         |          |              |
+----------+---------+----------+--------------+

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评论(3

悟红尘 2024-11-03 02:26:27

我也有同样的问题。幸运的是,这个问题很容易解决;)
如果表中有数据 - 您必须“重组”它(菜单 - 数据 - 重组)。此选项允许您创建多维变量。您可以在 youtube 上找到一些有关数据重组的教程。
在你的情况下,你必须手动进行。您只需根据李克特量表问题的数量重复您的识别变量即可。假设您有 3 个问题关于“速度”,3 个问题关于“设计”,还有 3 个问题关于“准确性”。您的表格应如下所示:

+----------------------------------------------+
|            Speed1     Speed2      Speed3     | Duration1 | Duration2 | ...
+----------+---------+----------+--------------+
| Google   |         |          |              |           |           |
+----------+---------+----------+--------------+
| Yahoo    |         |          |              |
+----------+---------+----------+--------------+
| Bing     |         |          |              |
+----------+---------+----------+--------------+

您可以稍后重组数据以执行统计分析。
在重复测量的情况下(例如,您在同一家公司问了李克特量表问题 3 次),您的表格可能如下所示:

+----------------------------------------------+
|            Speed1     Speed2      Speed3     | Duration1 | Duration2 | ...
+----------+---------+----------+--------------+
| Google   |         |          |              |           |           |
+----------+---------+----------+--------------+
| Google   |         |          |              |
+----------+---------+----------+--------------+
| Google   |         |          |              |
+----------+---------+----------+--------------+
| Yahoo    |         |          |              |
+----------+---------+----------+--------------+
| Yahoo    |         |          |              |
+----------+---------+----------+--------------+
| Yahoo    |         |          |              |
+----------+---------+----------+--------------+
| Bing     |         |          |              |
+----------+---------+----------+--------------+

...

我希望,它有帮助!

最好的,
尤金

I had the same problem. Fortunately, it is easy to solve ;)
If you have your data in the table - you have to "restructure" it (Menu - Data - Restructure). This option allows you to create multidimansional variables. You can find some tutorial on youtube for data restructuring.
In your case, you have to make it manually. You just repeat your identifying variable accordng to the amount of likert scale questions. Let's assume you have 3 questions to "Speed", 3 questions to "Design", and 3 questions to "Accuracy". Your table should look like this:

+----------------------------------------------+
|            Speed1     Speed2      Speed3     | Duration1 | Duration2 | ...
+----------+---------+----------+--------------+
| Google   |         |          |              |           |           |
+----------+---------+----------+--------------+
| Yahoo    |         |          |              |
+----------+---------+----------+--------------+
| Bing     |         |          |              |
+----------+---------+----------+--------------+

You can restructure the data later to perform statistical analysis.
In the case of repeated measurement (e.g. you asked your Likert scale question in the same company 3 times over time), your table might look like this:

+----------------------------------------------+
|            Speed1     Speed2      Speed3     | Duration1 | Duration2 | ...
+----------+---------+----------+--------------+
| Google   |         |          |              |           |           |
+----------+---------+----------+--------------+
| Google   |         |          |              |
+----------+---------+----------+--------------+
| Google   |         |          |              |
+----------+---------+----------+--------------+
| Yahoo    |         |          |              |
+----------+---------+----------+--------------+
| Yahoo    |         |          |              |
+----------+---------+----------+--------------+
| Yahoo    |         |          |              |
+----------+---------+----------+--------------+
| Bing     |         |          |              |
+----------+---------+----------+--------------+

...

I hope, it helped!

Best,
Eugene

梅窗月明清似水 2024-11-03 02:26:27

我不确定我知道你在问什么,但我相信你正在寻找一些关于“数据集”可能需要是什么样子的指导。如果您运行以下语法,您应该更好地了解我将如何构建它。

DATA LIST LIST (",") / browser (A30) type (A30) score.
BEGIN DATA  
Google, Speed, 123
Yahoo, Speed, 34
Bing, Design, 23
Google, Accuracy, 231
Yahoo, Design, 12
END DATA.

I am not sure I know what you are asking, but I believe you are looking for some guidance as to what the "dataset" might need to look like. If you run the following syntax, you should get a better idea of how I would structure it.

DATA LIST LIST (",") / browser (A30) type (A30) score.
BEGIN DATA  
Google, Speed, 123
Yahoo, Speed, 34
Bing, Design, 23
Google, Accuracy, 231
Yahoo, Design, 12
END DATA.
在你怀里撒娇 2024-11-03 02:26:27

应使用非参数方法分析李克特量表数据。有两种方法可以处理这个问题。

1).对案例进行排名,然后对排名值执行方差分析

2)。对李克特量表数据进行克鲁斯卡尔·沃利斯 (Kruskal Wallis)

问候

Likert scale data should be analyzed using non-parametric methods. Two ways to handle this.

1). Rank the cases and then perform ANOVA on the ranked values

2). Perform Kruskal Wallis on the Likert scale data

Regards

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