Interview - Practice, Ethics & Integrity - Jelte Wicherts (Part 4 of 4)

Loading...

来自 University of Amsterdam 的课程

计量方法

875 个评分

University of Amsterdam

计量方法

875 个评分

课程 1（共 5 门，Specialization 社会科学的方法和统计）

Discover the principles of solid scientific methods in the behavioral and social sciences. Join us and learn to separate sloppy science from solid research! This course will cover the fundamental principles of science, some history and philosophy of science, research designs, measurement, sampling and ethics. The course is comparable to a university level introductory course on quantitative research methods in the social sciences, but has a strong focus on research integrity. We will use examples from sociology, political sciences, educational sciences, communication sciences and psychology.

从本节课中

Practice, Ethics & Integrity

In this last content module we will focus on the part of the research process that follows data collection. The specifics of storing data and using statistics form a course topic in their own right (see the specialization courses on Basic and Inferential Statistics). For now we will focus on more general issues to do with data, interpretation and dissemination of results that relate to ethics and integrity. Some of the concepts that we discuss here will be familiar if you watched the interviews of the past modules. It might be interesting to (re-)watch these if you have the time!

Interview - Practice, Ethics & Integrity - Jelte Wicherts (Part 1 of 4)7:00

Interview - Practice, Ethics & Integrity - Jelte Wicherts (Part 2 of 4) 8:41

Interview - Practice, Ethics & Integrity - Jelte Wicherts (Part 3 of 4) 6:26

Interview - Practice, Ethics & Integrity - Jelte Wicherts (Part 4 of 4) 2:25

与讲师见面

Annemarie Zand Scholten
Assistant Professor
Economics and Business

So we have the Open Access movement.

>> Yeah. >> Making information available to

people without them having to pay for it.

>> That's very important as well.

Yeah.

>> We have the pre-registration.

>> That's a good one.

>> It helps- >> Yeah.

>> Against publication bias and file drawer problems.

>> Yep. >> Especially if

you accept a paper before you've seen the outcome.

>> Yep.

>> And there maybe even more.

I mean there's-

>> Data recording?

>> Data recording, make, make sure that you have the data making,

releasing the data, as far as that is possible.

If there's privacy issues related to respondents you probably can't but, normally you can,

and, and there's efforts there in the medical science as well from which we

can learn, because there's the, the pharmaceutical industry.

Does all these trials.

Try to, get approval for

their new medicine, their new drug, but there may be problems with it.

The results may not as be as nice, or there may be other things,

there may be side effects.

And nowadays you, this is part of some legal things, hassles between

publishers on the one hand and, and the federal government in the US.

And the pharmaceutical industry on the other hand,

in which they subpoenaed data from very large trials, and found out a lot of

side effects that would've been hidden, if the data had not been found.

So nowadays, we see the benefits, and

in medical sciences, it's a matter of life and death.

And in social science, it's a matter of good science.

In building, trying to grasp these social scientific topics,

which are very complex, very difficult, in which we try to build theories.

And if we only present the good results, we don't really builds.

[CROSSTALK]. >> We're never going to get there.

>> We don't, we don't know.

And if you, we all let people just do,

go around their business with the data, then, and we reward them for it.

Yeah, of course then people like Stapel will appear, reappear

>> Yep.

>> So you need to higher chances of, of problems and

scientific aspects, either be fraud or several of these biases in, in the system.

We need to deal with those.

And I think we were getting there but it's, it's fairly slow but in the end,

I hope that if I retire, that it will be much better than it is today.

>> That sounds like a, a positive note to end on.

>> Yeah.

Jelte, thank you very much.

I really appreciate it that you took the time to come here.

>> Yeah.

Thank you [CROSSTALK] Thanks for having me and good luck all.

>> Thank you.

[LAUGH]

探索我们的目录

免费加入并获得个性化推荐、更新和优惠。

Coursera 致力于普及全世界最好的教育，它与全球一流大学和机构合作提供在线课程。

© 2018 Coursera Inc. 保留所有权利。

通过 App Store 下载

通过 Google Play 获取