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Okay, here we go. Introduction Scientific Publications. Let's see. I'll make this small. 

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So what we're going to do is today, talk a little bit about the structure of an article,

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because scientific publications follow kind of a recipe. This is what we're going 

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to talk. We are going to talk about the structure Imrad, that's the recipe. We're going to talk about 

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abstracts, Pecos and some tips and tricks. 

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And that is not all for an exam or whatever, but it's just to know little bit like what's out 

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there and what can we do. Starting with Imrad. Imrad is an acronym as usual and it stands for 

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introduction, methods, results and discussion and it really is like a recipe. I'm not sure if anybody 

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of you have written already an article, but they have really good rules how to write that. They 

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don't want you to be creative. And every Journal has got its own author guidelines. 

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And these author guidelines are about the structure or about the number of  word limits, how the 

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abstract should look like, etc. Etc. Where they can use online material. If you write an article 

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online material is a way to avoid the problems with your word limit. Still, it needs to be concise. 

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But sometimes you've got very, very extensive tables when you do a systematic review and 

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more and more journals allowed to have online material.

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In the past, of course, when everything was written and published on paper hard copies, you did not 

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want a systematic review with 20 Pages table, which could be a problem. But you sometimes have got 

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these very extensive tables. And nowadays you can just put them online. So they won't be in the 

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issue itself, but you will have access to any additional materials. Sometimes people, upload now 

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also data sets. So back to Imrad, introduction, 

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method, results and discussion. 

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So the introduction that we write and this is also a little bit for your master thesis. Some of you 

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will write an article based Master thesis, then that article will be following these guidelines. You 

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will also have to choose which Journal you prepare your article for because of the guidelines, 

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author guidelines, but in general these rules are for all journals, all articles. So introduction is 

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you give us 

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a summary of what's out there. You describe this problem. This is what I want to talk 

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about... and you go move on if you have described the problem set and say these are my more specific 

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research questions related to this problem. You also want to introduce any Frameworks that are 

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important, theoretical backgrounds, and at the end of the introduction there's always this that 

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research 

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question. So it always ends with the purpose of this publication, what this study is. So if you're 

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looking in your introduction, if you look in an article for what is the purpose, go to the end of 

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the introduction. But in general, it is an introduction to the field. It is where you will find the 

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most important literature. You need to prove you know what's going on. And you need to prove that 

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what you're doing is new and has not yet been this discussed or published. 

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So as I said, you need to tell the world that you know what you're talking about and explain what 

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you are contributing to the existing knowledge base already. Next thing is methods. When I write 

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articles. I always start with methods. It's the easiest bit to write. And if you've done your 

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research, you should know what you've done. You should know what the methods is. It is about, you 

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need to explain how did you recruit. How did you find your data? 

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What kind of assessments? What kind of analysis? It's all in the methods. It is what you did and it 

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is what you did not do. And  you need to explain, '' Well, we did this and we did not use parametric 

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statistics because of... '' you need to explain a bit why you did that, you need to explain how did you 

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come to your results. So in the results you talk about the method, 

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you talk about how did you recruit. How many do you intend to recruit? Not just the numbers ,n

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results, but you need to explain ''I'm going to recruit teachers for semi-structured 

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interview. '' So you've got and you need to explain where, at schools in Oslo. You need to explain if 

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you use a screening or an assessment tool. Why do you use that one? Because valid and reliable Etc, 

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but you need to describe that one. You need to explain what 

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kind of analysis. Do you intend to do descriptive statistics? Or are you going to do statistical 

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analysis? Can you maybe do a meta-analysis? All of that should be there and usually you've 

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got these sub headings, like patient recruitment, assessment protocol, 

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statistical analysis. All of that is Method and you interrupt me if there's a question. 

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It's also a little bit what you need to do in your research proposal? The next thing is 

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results. What did you find? So you present your results and this is where I'm going to 

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look at Master thesis like okay, how is it presented? Do I understand the data? 

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Did people use tables to facilitate the data overview, or maybe figures? How did you classify it? 

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If you are doing something like coding, I want to know

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what codes did you use. How did you come to two more overarching codes? You need to explain, 

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interpret your results, but in not too deep. Just stick to your results because in the 

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discussion, you will more expand on other literature that's out there. You need to discuss like 

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this is what we found, this is what we could not do, this is what the problem was. But in summary, 

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results is

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okay, you had your methods, where are the data? Given the data, give it a logic. 

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Give it in a good overview with a very short explanation. Don't get too much in detail. You can give 

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me all the data, but don't talk too much because that's for the discussion. But the results is as it 

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says here, the essence, the results is why you did the research. 

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So you've got the introduction of your problem, the purpose, the methods, how you're 

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going to do it, the results. What did you find? And then you get to the discussion. And that is the 

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most complex bit to right. I always start with the methods and then the results, that's the 

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easiest bit. The discussion is overarching of your whole article. Like you've got your data. So, 

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what does that mean? Can you generalize your data? Is it just for 

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your study group or can you  actually expand to other groups? How are your data similar or 

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different to published studies? So what's out there already. Is there may be an alternative on another 

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explanation of what you found, was this what you expected or not? And why not or why is that exactly 

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what you expected? What could have caused your data? There's always a section in the discussion bit, 

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a paragraph, 

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that's called limitations of your study. Which means for instance

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if you do a review that you said, well we limited the number of databases, we only included 

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English literature, which is good and allowed. You just need to say we could have done any 

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language. We could have done but it still needs to be feasible and therefore you did not. It could 

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also be that you say well the population

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recruitment. It was a very small population therefore generalization is limited or they 

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can say well we had quite a few missing people, people that were lost to follow-up. All of that is an 

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important section in discussion. We actually explain the pros and the cons of your study. Nine out of 

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ten you end up saying something like ''yes, we need additional 

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research''. Make it a little bit more interesting and explain what bits need additional research. 

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Maybe this was a pilot. You want larger numbers. So you can perform more advanced statistics or you 

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need to confirm these data in bigger groups. And maybe then you can use it as recommendation in 

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clinical practice or in research. But the discussion is tricky to write, do not chat. Do not chat in 

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the discussion, please. 

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Before you write the discussion always have bullets. When writing the article, you run 

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into interesting things or remarkable things, or things you need to remember or discuss. And I just 

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put them as it as a short bullet in the discussion bit. By the time I start writing my discussion, 

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I organize my bullets. I reorganize them so it's a flow. So it makes sense. Then I start writing. 

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Please do not 

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start writing just because you are at the discussion. Think about what you want to discuss and in 

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what order. It needs to make sense. The discussion again is very important and not easy to write. 

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Okay, but that is really where everything comes together. 

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At the conclusion, that is usually just short and sometimes it's part of the discussion depending on 

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the journal. Sometimes it is just that the discussion and the conclusion are the same heading 

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but if you write your conclusion, it will still be at the end. It's the last paragraph. And that one, 

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what I always do if I've got a master thesis or a study or whatever, or my 

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own writing, the abstract, the purpose of the study,  

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the introduction and your conclusion should be in line. Same terminology. Same outcomes, same 

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conclusion. And quite often I see people changing wordings, just not having the same conclusion. 

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The conclusion should be the answer to your purpose. That's why you did it. Now did you find, what 

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the results? So, I always go from the abstract. If you scan an article, you do the abstarct, 

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you go to the purpose, you go to the conclusion. We talk about that a bit later, but it should 

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be really similar. You can't have differences there. So the conclusion is about did you find 

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your answer on your research question. Did you had a hypothesis or more? Have you confirmed it? 

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Undermined it, falsified, what happened with it? You do not introduce new issues. You do not 

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introduce

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anything that has not yet been discussed and you don't just sum them up. You don't just 

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say this is what we find. No, no. Go back to your research question. That is your conclusion 

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and something that I didn't say in the discussion also, you do not introduce new data in the 

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discussion. So anything that is data related should have been introduced in the results. The 

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conclusion you don't all of sudden say 

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and the mean data of our participants are... No! That should have been in your results. Okay? Now, I 

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hope that this is a little bit clearer. This is how all studies are written publications, any 

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academic study if you go to journal has got this way of writing, it ninety-nine out of a hundred. 

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So this is, do not be creative. The structure is the same. And actually, for a 

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Master thesis, it's kind of the same structure, especially when you write an article based 

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master thesis. Any questions so far on this? 

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I heard someone say something. 

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Hana: I just said no. Renee: Okay. That's a good one. But just also, if you write your proposal, a proposal is actually kind of ticking 

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off all of this. Of course, you don't have the conclusion yet, but you have the

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introduction, research question at the end of the introduction, introducing method. So that is what 

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we are talking about here. Okay, that leaves me with an abstract. 

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Now, abstract is actually kind of similar to Imrad. An abstract is a short summary and what you need to 

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do is, what I see also if people submit abstracts for conferences, you can't say 

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in an abstract '' We will discuss. We will find. '' No, no. No, you need to tell me what you found. You 

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need to say, we found, we did. You can't speak in the future. 

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An abstract is summary what you have done. It is a completed research. And if you've done it, well 

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that is when people want to know more, that is it should trigger you. If I look at articles, I look 

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at the abstract and say no or I say, well actually yeah, yeah let's read more. Now in that abstract, 

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it all needs to be there. You need to have the problem statement. Many kids with autism have 

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problems with dental health care, whatever. That's a problem statement. 

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Then you need to tell me what is your question. We want to describe the prevalence of 

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that... Your problem, that your research question. Maybe. What is the prevalence of? That's a question. 

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You need to decide methods. Next, headings, how you gonna do that? 

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Do you have semi structured interviews in high schools at the nordics or whatever. You 

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need to tell me where you do that, you need to tell me the results:

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Okay, we interviewed 10 people, we found bloody bloody results, all of that. 

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And keep in mind that you get kind of 500 Words usually max to do all of this. So, motivation. 

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Why do we care? That's your motivation. Why is it important? What is the gap there? What we

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think we're going to find? That's your introduction. You need to trigger me. Your methods is...

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Tell me what you did. You interviewed, you analyze, you have been creative. Whatever you do. This is 

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your analyst. It could be a literature review or your interviews. Etc. Your results are, okay, 

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you did all these methods. So what did you find? How many participants, how many data, what

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kind of sets could you use or not? Or did you somatic synthesis of what have you done? What were the 

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results of that? What is new? What do you contribute? And then what is the implication of all of 

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that? Now to do this, usually is 500 Words and believe me that is complex. That is because everything

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needs to be in there. Your problem statement, your purpose of the study, your method, your 

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results, and what it means. It's a challenge. So I'm going to give you a few examples. We are 

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talking here about the effects of chewing gum on mood, learning memory and performance of an 

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intelligence test. And this is really I don't make it up, this abstracts exist. Now, this is 

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the abstract and I didn't count the words, 

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must be something like 500 by the looks of it. But you can see here these headings and this 

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journal apparently they give you these headings, you don't make them up. They give you very often 

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the headings. So the rationale, that is the introduction. You've got your objective, the purpose, 

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your subjects and methods, that is the same, that is methods, your results, conclusion. 

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So, those are the four main components of your abstract. And that looks very much like Imrad.

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Now, so there, this is actually motivation problem statement that it's two headings. But it is that 

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that first step, your methods, your results and your conclusion. So that is how all abstracts look 

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like. Now. I've got another one here, computer-assisted reading intervention in a secondary school, 

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an evaluation study. 

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Now, this is just text but the trick is in that text. Okay, try to find the bits and pieces. Now if 

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you read it, then you can see this is all introduction. It's all the problem statement, the purpose 

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of what you're going to do. So it explains there is concern about literacy and then it goes on, is 

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quite a long introduction actually. And then it says the purpose, the present study evaluated the 

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effectiveness of RITA,

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that is a computer-based reading instruction system, apparently. 

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And so, they describe what they want to do. 

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Then they say how they did it. So 10 weeks period, significant overall improvement, so that your 

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results and that bit is your conclusion. So, we've got the introduction again, motivation, problem 

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statements, the method. So what are you going to do this? The blue, the results, the red what did 

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you find. And conclusion, it is suggested that computer-assisted reading support can be effective in 

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supporting the majority of children, Etc. So that is again, 

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a conclusion that generalize actually the findings. Now, all abstracts are... If you want to 

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read an article, you want to know what is it about. The abstract should give the full study in 500 

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words, then after that, I read more. 

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What are some tips for writing abstract? So you can find them at this is on grammarly. We will talk 

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about that one later. It should be independent. It should be a self-contained autonomous work. It's 

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not easy writing abstracts. I write an abstract at the very, very end. That's actually what she says 

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there as well. I write the whole article because you never know what happens during the writing 

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process. And then I write the abstract using the same wording from my article. The problem is 

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very often that 

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people want to be creative and use synonyms for variable. Or for they talk about measure, assessment, 

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outcome. It is confusing. In an article you are allowed to use the same wording and it's much 

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more clear. You're not writing a novel. You're not writing a novel. So it's 

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independent that it should contain all the information. You write it at the very, very end. Although 

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many people start writing, don't do that. 

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Treffsikkerhet: 91% (HØY)

00:20:24.300 --> 00:20:31.000
It's at the end after you finish your article, because then you may have a better overview what 

00:20:31.000 --> 00:20:38.100
actually you have done and the wording will be more in line with the rest of the article. It is 

00:20:38.100 --> 00:20:43.600
not an introduction. Some people are tempted to give a long introduction of what's going on out 

00:20:43.600 --> 00:20:51.000
there. Don't do that. One sentence, maybe two that should be your problem statement. It is because 

00:20:51.000 --> 00:20:54.300
the whole introduction will give you that whole background. Not in the 

NOTE
Treffsikkerhet: 89% (HØY)

00:20:54.300 --> 00:20:59.500
Abstract. All you need to do is you need to explain a little bit what are we talking about. 

00:20:59.500 --> 00:21:05.900
You don't start with the purpose of this study. You first say this is my problem and then 

00:21:05.900 --> 00:21:15.449
the purpose of my study. So if I look at back, you've got the Imrad structure 

00:21:15.449 --> 00:21:23.100
and that is not in the introduction and Abstract gives you everything, introduction gives you the 

00:21:23.100 --> 00:21:24.199
background. 

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Treffsikkerhet: 91% (HØY)

00:21:24.199 --> 00:21:30.200
The problem statement, the most important literature out there, who are the big gurus that you need 

00:21:30.200 --> 00:21:35.900
to address to, what are the main theories, the main ideas out there. You can't put that in an 

00:21:35.900 --> 00:21:42.700
abstract. No way. You get totally lost if you do that. Okay, so that is writing an abstract and it 

00:21:42.700 --> 00:21:49.400
seems simple, it's not. Just give it a go and you will see that it's not that easy to write your 

00:21:49.400 --> 00:21:53.750
article and usually an article is between 

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Treffsikkerhet: 85% (HØY)

00:21:53.750 --> 00:22:03.600
4,000 - 5,000 max and that's usually for a review. I know there are journals that allow like over 10,000 words.

00:22:03.600 --> 00:22:12.500
Those are exceptions and I'm not too enthusiastic about that. Because very often, I always 

00:22:12.500 --> 00:22:17.000
say, if you can't tell it in 4,000 words actually, then I'm not sure whether you need 

00:22:17.000 --> 00:22:24.250
another 5,000, avoid to go chatting, be concise, academic language is concise. 

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Treffsikkerhet: 89% (HØY)

00:22:24.250 --> 00:22:34.400
Okay, that brings me to something different. That brings me to Picos. But before I do 

00:22:34.400 --> 00:22:42.200
that, any comments yet? Hristina: So when we are about to give our research 

00:22:42.200 --> 00:22:50.100
proposal, should it look like a short abstract, something like that, or no? Renee: It will be, but you won't 

00:22:50.100 --> 00:22:54.300
have the results yet. But the first bit, will very liekly

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Treffsikkerhet: 83% (HØY)

00:22:54.300 --> 00:23:00.000
to be the same, like you will have your introduction. Introducing the guru's, main theories. All of 

00:23:00.000 --> 00:23:05.200
that is the same at the end. You start with, this is my problem. Then you tell me your 

00:23:05.200 --> 00:23:11.400
research questions at the end of your introduction. So that is all the same. And then you come 

00:23:11.400 --> 00:23:17.900
with your method section. You need to describe where do you recruit, what kind of Assessments, Etc, 

00:23:17.900 --> 00:23:24.250
and what kind of analysis you think you use. So far tat is actually an Imrad article

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Treffsikkerhet: 86% (HØY)

00:23:24.250 --> 00:23:29.600
and it's a bit more than an abstract because an abstract is only 500 Words. I gave you more 

00:23:29.600 --> 00:23:37.900
words for your research proposal, but the structure is very, very similar. Is that enough answer to you?

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Treffsikkerhet: 91% (HØY)

00:23:38.200 --> 00:23:43.000
Hristina: Yes, thank you. Renee: Okay, any other questions here? 

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Treffsikkerhet: 90% (HØY)

00:23:43.800 --> 00:23:49.300
Who started writing already, their research proposal, the introduction? 

NOTE
Treffsikkerhet: 91% (HØY)

00:23:49.300 --> 00:24:04.500
Hana: I did. Renee: Okay, and how when how did that go? Hana: Yes, no. Yeah, it's not going so well.  

00:24:04.500 --> 00:24:11.750
Renee: I have bullets before, I write also for the introduction. 

00:24:11.750 --> 00:24:17.400
The method section is kind of more easy for me, but the introduction is well, it's the logic 

00:24:17.400 --> 00:24:19.199
that you need to have. 

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Treffsikkerhet: 91% (HØY)

00:24:19.199 --> 00:24:24.200
You need to say: This is my problem. This is the literature that I need to discuss. This is how they 

00:24:24.200 --> 00:24:29.800
link together. And one of the biggest issues is very often that people just start writing. I'm not 

00:24:29.800 --> 00:24:41.200
sure how you, how did you start? Hana: Well, I had an overview of my entire study first. So then I used that 

00:24:41.200 --> 00:24:46.800
overview, but then I decided it was too messy. Then I went back to bullets. 

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Treffsikkerhet: 82% (HØY)

00:24:46.800 --> 00:24:55.200
And then I'm just trying to decide what bits do I put in the literature review and what bits stays 

00:24:55.200 --> 00:25:05.100
in the introduction. Renee: Okay. I'll help. Why don't I stop the recording for a minute?

00:25:07.400 --> 00:25:16.700
Let me resume recording. Okay, so what we're going to talk about now

00:25:16.700 --> 00:25:23.700
is Pico and maybe I've heard about Pico, but Pico is 

00:25:23.700 --> 00:25:32.200
about patient, intervention, comparison, outcome. It is a lot used in medicine and Allied Health, but 

00:25:32.200 --> 00:25:38.100
also in social sciences. So it is to find a clinical question in terms of the specific patient 

NOTE
Treffsikkerhet: 87% (HØY)

00:25:38.100 --> 00:25:45.000
problem and it helps the researcher in getting relevant evidence, Etc. But it's a model and it helps 

00:25:45.000 --> 00:25:50.400
to define your question. So, this is the model. So, the P for patient and I think we had a look at 

00:25:50.400 --> 00:25:58.600
this already. P patient. I intervention or exposure or prognostic factors. C is the group 

00:25:58.600 --> 00:26:06.100
you compare it with. And the O is for outcome. If you look at more in detail... 

00:26:06.100 --> 00:26:08.050
Patient, so where do you recruit? What kind of 

NOTE
Treffsikkerhet: 91% (HØY)

00:26:08.050 --> 00:26:14.700
patients have similar at the problems? What are the inclusion, exclusion criteria for that 

00:26:14.700 --> 00:26:20.900
population? The intervention is... Okay. What is it an intervention? It's also, it's got to do with 

00:26:20.900 --> 00:26:27.900
in exclusion criteria as well. Do you have a comparison group? Is that a no treatment group? Is that 

00:26:27.900 --> 00:26:35.400
a group of peer controls? Is that the literature? What do you compare it with. And the outcome, what 

00:26:35.400 --> 00:26:38.000
outcome measures? What do you expect of your 

NOTE
Treffsikkerhet: 81% (HØY)

00:26:38.000 --> 00:26:47.500
search? Now that is Pico. Let's have a look at this one. So this is about, you can open up any 

00:26:47.500 --> 00:26:53.800
magazine easy, all this nonsense. So this is about expert skincare for every age. Young aging

00:26:53.800 --> 00:27:00.400
perfect Skin. Now, if you look at things like that, there is actually a Pico behind. Do woman, 

00:27:00.400 --> 00:27:06.900
use expert skincare have a younger more radiant Body Blast skin than women who do not. That is 

00:27:06.900 --> 00:27:07.950
actually the research

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Treffsikkerhet: 84% (HØY)

00:27:07.950 --> 00:27:13.800
question. If you look at pico, then the P. The participants are women. The intervention is that 

00:27:13.800 --> 00:27:20.300
skin scare stuff. The comparison is the ones who don't use it and the outcome is: man, do we look 

00:27:20.300 --> 00:27:28.600
beautiful? That is a Pico. Now another one, same issue. We see the guy and the woman, beneath under 

00:27:28.600 --> 00:27:36.000
this is a research question. It suggests something. Do men using X attract more women than when 

00:27:36.000 --> 00:27:38.100
not using X. And if I look at the Pico

NOTE
Treffsikkerhet: 77% (HØY)

00:27:38.100 --> 00:27:46.500
I've got the same thing, the p is the man, the I is using X that stuff. The comparison is if I 

00:27:46.500 --> 00:27:53.100
don't use and you count the number of attracted to women as an outcome measure. And we can 

00:27:53.100 --> 00:27:59.800
continue. There is a reason why we're doing this, by the way. So dogs and all these clothes, Etc. 

00:27:59.800 --> 00:28:06.300
What people do? So reasons why your dog really needs clothes They try to sell it all to us. 

00:28:06.300 --> 00:28:07.950
In the nordics, actually 

NOTE
Treffsikkerhet: 78% (HØY)

00:28:07.950 --> 00:28:15.550
dogs do need sometimes clothes, but that is because we are also freezing. But behind it is to question 

00:28:15.550 --> 00:28:22.200
our dogs that we are clothed happier than dogs, that do not wear clothes? I think it's more about the 

00:28:22.200 --> 00:28:26.300
owners except for in the Nordic. But, okay, this is the question. If you look, then the P is the 

00:28:26.300 --> 00:28:32.000
dogs, intervention is to wearing clothes versus not wearing clothes, you measure happiness, but 

00:28:32.000 --> 00:28:35.550
you can measure, bit difficult, but you can measure it. 

NOTE
Treffsikkerhet: 84% (HØY)

00:28:35.550 --> 00:28:45.900
Now this is more serious. So if we look at children with asthma and our statement is 

00:28:45.900 --> 00:28:54.600
are children with asthma who inhaled corticosteroids more likely to result in growth delay 

00:28:54.600 --> 00:29:02.300
and standard therapy with better agonists? Okay, have a look at that one. Try to find the P. 

00:29:02.300 --> 00:29:04.800
I'm not going to do this in groups or ask people. 


00:29:11.700 --> 00:29:13.800
What would be the P? 

NOTE
Treffsikkerhet: 71% (MEDIUM)

00:29:15.700 --> 00:29:21.700
And I'll give you the first one. So P is children with asthma. That is your participant 

00:29:21.700 --> 00:29:33.250
group. Now, the intervention is the corticosteroids. That's the intervention. The comparison is 

00:29:33.250 --> 00:29:40.750
better Agonist. And the outcome is then, the growth delay. Is this clear for everybody? 

NOTE
Treffsikkerhet: 88% (HØY)

00:29:40.750 --> 00:29:44.699
So this is how you create a Pico. 

NOTE
Treffsikkerhet: 91% (HØY)

00:29:44.699 --> 00:29:54.250
I give you another one. Will the group family nurse partnership program compared to usual care 

00:29:54.250 --> 00:30:01.100
have better outcome for high-risk mothers in preventing child abuse? Just have another read and try 

00:30:01.100 --> 00:30:03.600
to find the P. 

NOTE
Treffsikkerhet: 90% (HØY)

00:30:08.500 --> 00:30:15.800
And I hope that you identify that the high-risk mothers is the participant group. Now. What is the 

00:30:15.800 --> 00:30:24.300
intervention, and I hope you all agreed that is the group family nurse partnership. Now, if we 

00:30:24.300 --> 00:30:26.900
look at the comparison, 

NOTE
Treffsikkerhet: 86% (HØY)

00:30:28.400 --> 00:30:38.500
- your usual care, compared to usual care. And the outcome in this case would be prevention of child 

00:30:38.500 --> 00:30:42.400
abuse. All clear so far? 

NOTE
Treffsikkerhet: 83% (HØY)

00:30:44.400 --> 00:30:51.300
Then I've got another one, another Pico. And this one is about something we probably don't know what 

00:30:51.300 --> 00:30:56.600
this is about. But the reason why show it to you is that whatever I see I can still do 

00:30:56.600 --> 00:31:04.050
my Pico thing. Do periopridal behavioral therapy or pelvic muscle strengthening enhance

00:31:04.050 --> 00:31:09.800
quality of life after pelvic surgery? Now have a look at that one. What is happening there? And 

00:31:09.800 --> 00:31:12.700
what would be my P here? 

NOTE
Treffsikkerhet: 83% (HØY)

00:31:12.700 --> 00:31:20.500
Well, the P stands for persons after pelvic surgery. That's a group of thinking about and then we're 

00:31:20.500 --> 00:31:27.100
looking at an intervention. So what do we do with these people, with these patients? Well, I see two 

00:31:27.100 --> 00:31:37.000
interventions. I see the perioperative behavioral one. And you want that to compare with the muscle 

00:31:37.000 --> 00:31:42.650
strengthening. Those are the two interventions I see. The outcome again is 

NOTE
Treffsikkerhet: 91% (HØY)

00:31:42.650 --> 00:31:45.000
quality of life. 

NOTE
Treffsikkerhet: 70% (MEDIUM)

00:31:45.000 --> 00:31:51.300
If you don't agree, just speak up. This is your the time. But of course, there are 

00:31:51.300 --> 00:31:58.400
many other Picos we can create. And this is a little bit small, but you've got a slide but you can 

00:31:58.400 --> 00:32:05.100
see that Pico have different types of questions and then you need to fine-tune your pico a little 

00:32:05.100 --> 00:32:12.650
bit. So if we look at the left you can add a Pico on a treatment or prevention, diagnosis, 

00:32:12.650 --> 00:32:14.650
prognosis, or a utility. 

NOTE
Treffsikkerhet: 89% (HØY)

00:32:14.650 --> 00:32:22.800
But that means is this Pico on top you've got the P, C, E, O, maybe slightly 

00:32:22.800 --> 00:32:27.400
different. So, if we talk about treatment, that's what we did with the 

00:32:27.400 --> 00:32:34.800
patient with the disease. If we are a diagnosis and the target disease with targeting something, we 

00:32:34.800 --> 00:32:41.750
are talking about here, main prognostic factors. So Picos may differ depending on the type of 

00:32:41.750 --> 00:32:44.699
question you've got. Sometimes things are not applicable.

NOTE
Treffsikkerhet: 84% (HØY)

00:32:44.699 --> 00:32:50.000
If you want to know the etiology, the cause of something that maybe there's not a 

00:32:50.000 --> 00:32:58.500
comparison but you just want to know like, okay, your patients, the risk factors and current 

00:32:58.500 --> 00:33:03.250
health disorders, and general health condition, and there is not really a comparison. 

NOTE
Treffsikkerhet: 82% (HØY)

00:33:03.250 --> 00:33:12.900
Okay. Now Picos, to make it more clear, different type of prescience. So therapy is in a particular 

00:33:12.900 --> 00:33:20.300
disease. What is the effect of a treatment versus on outcome compared with someone else? So this is 

00:33:20.300 --> 00:33:32.400
for instance in children dysphagia, what is the effect of speech-language pathology treatment on 

00:33:32.400 --> 00:33:33.699
aspiration? That is if

NOTE
Treffsikkerhet: 89% (HØY)

00:33:33.699 --> 00:33:39.800
you get food in your lungs. Compare it with children that do not get the treatment. Something like 

00:33:39.800 --> 00:33:45.700
that. Prevention, you can see, so you can fill in actually anything you want and then you've got a 

00:33:45.700 --> 00:33:58.100
research question in therapy or prevention or diagnosis or prognosis, or etiology or meaning. For 

00:33:58.100 --> 00:34:03.650
instance one more prognosis does, how about this, does stopping

NOTE
Treffsikkerhet: 75% (MEDIUM)

00:34:03.650 --> 00:34:10.300
to smoke, influence rankasedema, which is what you get when your vocal folds, when you 

00:34:10.300 --> 00:34:17.550
smoke a lot, in patients who have rankasedema. 

00:34:17.550 --> 00:34:23.000
So, influence or influenced voice outcome in patients who have rankasedema. Rankasedima is 

00:34:23.000 --> 00:34:29.600
vocal folds with a lot of edema in there. And if you stop smoking, that should have an impact on 

00:34:29.600 --> 00:34:34.350
your voice here. 

NOTE
Treffsikkerhet: 91% (HØY)

00:34:34.350 --> 00:34:39.900
Is this clear to everybody? 

NOTE
Treffsikkerhet: 90% (HØY)

00:34:40.800 --> 00:34:47.400
And the idea was to have breakouts, but I'm not going to do that with too few people talking. 

00:34:47.400 --> 00:34:56.100
So I'm going to skip this bit and I actually want to move on to some tips and tricks and then we 

00:34:56.100 --> 00:35:02.400
also have got some time to have a look at Eric database afterwards. So tips and tricks. This is 

00:35:02.400 --> 00:35:08.200
just some ideas about things that may help you. Not for everybody. It's not for everybody it's useful but 

00:35:08.200 --> 00:35:11.050
just some tips that are there. 

NOTE
Treffsikkerhet: 82% (HØY)

00:35:11.050 --> 00:35:16.300
And the first one is you've got the websites here. You can have a look at if you want to know more 

00:35:16.300 --> 00:35:22.600
about different types of essays and information. Than in, on this website. You can see all these 

00:35:22.600 --> 00:35:30.100
different types of essays and they give the content and tips and examples, Etc. So just have a look 

00:35:30.100 --> 00:35:38.300
there. If that is interesting for you or not. You also have the ease guidelines and ease guidelines 

00:35:38.300 --> 00:35:40.750
for authors and translators for

NOTE
Treffsikkerhet: 80% (HØY)

00:35:40.750 --> 00:35:45.800
scientific articles published in English. Again, you've got the website here, but you 

00:35:45.800 --> 00:35:53.500
can also just Google the title and it is a brief explanation. It's only four pages. So, it really 

00:35:53.500 --> 00:35:59.500
is quite interesting I think to have a look at, okay, what to do, and what not to do when writing 

00:35:59.500 --> 00:36:05.400
an article. And especially, for those who will write an article base thesis, this might be 

00:36:05.400 --> 00:36:10.750
interesting. One topic that always is a problem is plagiarism. We very often, we don't do it 

NOTE
Treffsikkerhet: 79% (HØY)

00:36:10.750 --> 00:36:18.200
deliberately, but you can't just cite something from others. You can't just borrow my paragraph and 

00:36:18.200 --> 00:36:23.700
put it in your thesis as you get yourself into trouble. Even if you borrow your own 

00:36:23.700 --> 00:36:28.800
paragraph, from other articles that you have written yourself, you still can be accused of 

00:36:28.800 --> 00:36:31.750
plagiarism. You need to rewrite it. 

NOTE
Treffsikkerhet: 91% (HØY)

00:36:31.750 --> 00:36:37.950
Okay, so it's only four pages. I think it's absolutely worthwhile having a look at it. 

00:36:37.950 --> 00:36:46.600
Then, this is just quickly referencing style APA, while go to the library, go to write and 

00:36:46.600 --> 00:36:53.100
publishing, tick that one, and there we've got referencing and if you tick that one, we end up with 

00:36:53.100 --> 00:36:59.100
APA and all the information that you need and even more that you don't want. But it's all 

00:36:59.100 --> 00:37:02.500
there. So the resources are quite okay. 

NOTE
Treffsikkerhet: 77% (HØY)

00:37:02.500 --> 00:37:09.350
We also talked briefly about EndNote and I strongly advise to use a reference program, weather it's 

00:37:09.350 --> 00:37:18.300
endnote or mendeley or whatever you prefer, but do start using endnote, it is really important. 

NOTE
Treffsikkerhet: 77% (HØY)

00:37:18.300 --> 00:37:27.000
Now, that brings us all ready to that one, to scientific writing, and I give you a few hints. This is 

00:37:27.000 --> 00:37:32.900
all freely available. That is a so-called Mayfield handbook, technical and scientific writing. 

00:37:32.900 --> 00:37:39.900
You can Google it, very easy. And then there is editing for grammar and style. They're all 

00:37:39.900 --> 00:37:46.700
these subheadings. They give you information about how not to do vague language. The layout is quite 

00:37:46.700 --> 00:37:48.399
ugly, by the way, from this website. 

NOTE
Treffsikkerhet: 83% (HØY)

00:37:48.399 --> 00:37:53.000
But just play around and maybe you can see something that's interesting for you. It will be 

00:37:53.000 --> 00:37:57.800
different for native speakers versus non-native English speakers, but just have a look, there is a 

00:37:57.800 --> 00:38:07.600
lot out there. Now. This is a Strunk, one elements of style and that one has got this whole series 

00:38:07.600 --> 00:38:15.000
of Elementary rules for usage if you get stuck in, do you need commas for before end or but or not 

00:38:15.000 --> 00:38:18.250
or any other things? How to break sentences

NOTE
Treffsikkerhet: 84% (HØY)

00:38:18.250 --> 00:38:24.700
into or not to break sentences it to, there is a lot. You see the headings, just not going to 

00:38:24.700 --> 00:38:30.000
get into details, but it is quite interesting to. Sometimes you keep making the same mistakes and 

00:38:30.000 --> 00:38:35.100
sometimes you may be just need to have a look at it and try to find the answer. Whether you're doing 

00:38:35.100 --> 00:38:42.350
it wrong or not. Phrase Bank, academic phrase bank. Another website from Manchester. 

NOTE
Treffsikkerhet: 85% (HØY)

00:38:42.350 --> 00:38:50.100
If you go for institute being critical and you take the top one highlighting inadequacies of 

00:38:50.100 --> 00:38:57.500
previous studies, then they give you all these examples. Like, okay, how do you write? How do you, 

00:38:57.500 --> 00:39:04.700
formulate? How do you, if you are looking for a new sentence, sometimes, I've got papers that the 

00:39:04.700 --> 00:39:10.000
same methodology, but I don't want to keep writing the same sentences. Well, the academic phrase 

00:39:10.000 --> 00:39:11.950
bank can help you out a little bit. 

NOTE
Treffsikkerhet: 74% (MEDIUM)

00:39:11.950 --> 00:39:16.300
Again, Google and just see what's out there. 

NOTE
Treffsikkerhet: 89% (HØY)

00:39:16.300 --> 00:39:25.200
Then we've got something that's called Grammar Monster and that is common grammar errors. And it's 

00:39:25.200 --> 00:39:32.100
like, mistakes that make you look really stupid, careless. Forgiven, you can get away with 

00:39:32.100 --> 00:39:39.700
or that might just annoy you but it is interesting because sometimes, as I said, you keep making the 

00:39:39.700 --> 00:39:45.750
same mistakes and  you're not really aware of it. Now, these are some of the mistakes that 

NOTE
Treffsikkerhet: 73% (MEDIUM)

00:39:45.750 --> 00:39:53.300
quite often done. 

00:40:01.400 --> 00:40:06.600
Just have a look. I'm sure there are a 

00:40:06.600 --> 00:40:15.300
few things that you might be confused about. So and if you tick them then you can get a quick 

00:40:15.300 --> 00:40:15.899
answer. 

NOTE
Treffsikkerhet: 78% (HØY)

00:40:15.899 --> 00:40:22.500
Like for instance, than and then I've seen it quite often, then with an E relates to time 

00:40:22.500 --> 00:40:32.200
and than with an a is into comparison. Then with an e is ''I did this and then I went to see my 

00:40:32.200 --> 00:40:40.900
grandma''. That's the then with an E. Than with an a is ''I am taller than John''. Is that is 

00:40:40.900 --> 00:40:43.600
a comparison, okay. 

NOTE
Treffsikkerhet: 82% (HØY)

00:40:43.600 --> 00:40:49.100
But there is a lot more there. You can get quick answers and you can get the more elaborate answers. 

00:40:49.100 --> 00:40:55.500
I think it is very useful, especially if you're just starting to write. Then there are all these 

00:40:55.500 --> 00:41:03.800
logs or B Logs. This is Grammar Girl and she has got all these tips and things 

00:41:03.800 --> 00:41:12.400
to do. If I tick that one, and I know that people are doing this wrong, ''e.g'' vs ''i.e'' 

00:41:52.400 --> 00:41:58.800
It really makes a difference in your writing. Well things like that, you can

00:41:58.800 --> 00:42:06.100
find them there. Then there is grammarly.com and I do use that. I've got that on my laptop. I'm 

00:42:06.100 --> 00:42:12.600
not a native speaker. I make spelling errors and some things are very difficult for me being a 

00:42:12.600 --> 00:42:13.550
non-native speaker. 

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00:42:13.550 --> 00:42:18.100
And I'll give you an example that I still struggle with after all those years, even though I've got 

00:42:18.100 --> 00:42:28.600
a native speaker as a partner. For example, if you say ''it is good to see you'' or ''it is good seeing you'' 

00:42:28.600 --> 00:42:35.400
the ind form versus infinitive. I always struggle with that. Well grammarly, she corrects me all the 

00:42:35.400 --> 00:42:40.600
time when I do it wrong again. It's free.

00:42:40.600 --> 00:42:43.550
You can just Google it. You can just download it and 

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00:42:43.550 --> 00:42:50.350
helps you. It links to Word, so in Word you can just use it or you just switch it off if you want to. 

00:42:50.350 --> 00:42:56.600
And it just tells you, when you're writing, what you're doing wrong and then you can click on it and 

00:42:56.600 --> 00:43:02.200
says, ''well actually here you've got a spelling error, it needs an 

00:43:02.200 --> 00:43:08.000
additional s '' or it says ''well, actually that comma can go here, remove the coma. '' It gives you all 

00:43:08.000 --> 00:43:13.300
these. Sometimes, don't just accept it, read what it's doing. 

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00:43:13.300 --> 00:43:20.950
But nine out of ten it she is probably right. Melissa: Sorry, grammarly does a difference between 

00:43:20.950 --> 00:43:28.000
the UK English and American English.  

00:43:28.000 --> 00:43:34.500
Because when I've written like color, I've written it British English and it'll 

00:43:34.500 --> 00:43:43.550
mark it like no no that's not how you spell it. 

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00:43:43.550 --> 00:43:51.000
Renee: I must admit I sometimes ignore her. 

00:43:51.000 --> 00:43:58.000
I'm not sure whether she is, I think it's American English.

00:43:58.000 --> 00:44:04.100
I don't know, but I think it is. Yeah that is annoying. 

00:44:04.100 --> 00:44:10.300
But at least it will get rid of most spelling errors and I think for non-native  

00:44:10.300 --> 00:44:13.450
speakers, there are

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00:44:13.450 --> 00:44:20.100
rules are so complex that actually, you need to have a kind of a feeling for that. You can't always 

00:44:20.100 --> 00:44:25.400
learn the rules.


00:44:30.800 --> 00:44:36.900
There are words that you can write in two different 

00:44:36.900 --> 00:44:43.500
ways. That is the difference between British English and American English. So, yeah, don't 

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00:44:43.500 --> 00:44:50.700
accept anything. Thank you. That is absolutely true. These are 

00:44:50.700 --> 00:44:54.500
just the links. I don't think you've got the slide but these are the links that are behind it. 

00:44:54.500 --> 00:45:01.950
And well I can open them but I think is actually enough background and you can just give it a go 

00:45:01.950 --> 00:45:11.900
and try it for yourself. I am going to stop for now the recording.  

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00:45:12.500 --> 00:45:20.000
Because the small group like this, we're not going 

00:45:20.000 --> 00:45:26.600
to work in groups or do assignments. I really think we've got at the mostly people active behind the 

00:45:26.600 --> 00:45:33.900
videos, but are there any questions so far and the ones that I just showed you? There's a lot 

00:45:33.900 --> 00:45:38.900
out there and some are not really my first preference but for instance Grammarly for those who are not 

00:45:38.900 --> 00:45:43.450
native speakers, it might make a difference. If you are a native speaker don't use it. 

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00:45:43.450 --> 00:45:52.900
You don't need it. Hana: Why not? I struggle with Grammmar after 

00:45:52.900 --> 00:45:59.000
learning Norwegian. I have problems now. (laughs :P ) Renee: Okay. Well, what you do, of course you make typos, 

00:45:59.000 --> 00:46:04.300
I make typos and that will pop up. So that is good. It is good to use whether you use 

00:46:04.300 --> 00:46:09.100
grammarly or use another spelling. I would always use spelling control. You make typos and you 

00:46:09.100 --> 00:46:13.400
don't see it and sometimes it interesting because you learn 

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00:46:13.400 --> 00:46:18.700
from it. Then grammarly she says something and you think well, actually I don't agree with you 

00:46:18.700 --> 00:46:24.650
and then I start looking into it. So don't just accept anything she's telling. I'll make it a she, 

00:46:24.650 --> 00:46:33.700
I don't know why, it could be a he, it's a program. I had some more quizzes, but I think we're not 

00:46:33.700 --> 00:46:40.050
going to do that when we're with so few. So maybe it's more useful to have a look at Eric. 

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At least others, the ones who are hiding behind mics, are you there? Do you have a question? 

00:46:47.200 --> 00:46:49.700
Otherwise, I will go to Eric. 

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We are going to Eric. 

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It's interesting, isn't it? Just for the ones who are running around now, 

00:47:03.900 --> 00:47:09.400
I am not going to count who is present. I really am not, you are grown-ups. You can listen to the recording 

00:47:09.400 --> 00:47:13.800
or whatever you want. It's ok. We'll go to Eric. 

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Share screen. 

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So what you do and I think you know

00:47:48.200 --> 00:47:54.200
by now how to do that, that you go to the Vista library website. Do you know how to get there, 

00:47:54.200 --> 00:47:59.300
the library website and then to the library and the databases? And that's what I did. So I went to, 

00:47:59.300 --> 00:48:06.300
I click Eric and I got myself into Eric. Now I can do that again that you can see what happens. 

00:48:06.800 --> 00:48:09.500
So this is where you come, this way 

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00:48:09.500 --> 00:48:18.100
you come up. Melissa: So is it better if we use the Eric Proquest? 

00:48:18.100 --> 00:48:25.200
Because wasn't this one a little bit limiting? Renee: I think I'll show you what

00:48:25.200 --> 00:48:29.400
happened when I did this and then we can have a look at this because I also that's why I did it 

00:48:29.400 --> 00:48:35.100
during the break because I never use UiO. But I checked and you can export so and theRE 

00:48:35.100 --> 00:48:39.450
are also filters. So I just give an example. Okay, let's do education. 

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00:48:39.450 --> 00:48:47.350
That's a spelling error. Yes, I meant education. Thank you. Here we are. 

00:48:47.350 --> 00:48:53.900
Yep. So it pops up with over a million hits. That's good. There's something in there. Now, you can 

00:48:53.900 --> 00:49:01.900
do all these, you get publication dates, so let's do only this year. 

00:49:01.900 --> 00:49:05.800
You should never do that. I don't think you've got a reason. I'm just lazy. I do that now because I 

00:49:05.800 --> 00:49:09.550
want to reduce the numbers. And let's say you've got... 

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00:49:09.550 --> 00:49:12.899
I do want Journal articles. 

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00:49:12.899 --> 00:49:18.400
That's interesting. So I've got here two limits now.

00:49:18.400 --> 00:49:28.100
I want fewer. Let's say that we say, okay, how about higher education? And I 

00:49:28.100 --> 00:49:33.700
reduce it and still got seven together. Is there special needs education somewhere? 

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00:49:35.300 --> 00:49:41.000
No then I should have used a different term and I'm interested in teachers because I want to reduce 

00:49:41.000 --> 00:49:46.300
the amount. Sorry, I want to export it and I don't want 1,500. Okay. So now you can see, I've got 

00:49:46.300 --> 00:49:55.550
all these filters and I've got 57. Now, in the meantime, I opened already and I'll just do this. 

00:49:55.550 --> 00:50:02.500
I'll delete it because I opened, I created already a library in my endnote. So this is end 

00:50:02.500 --> 00:50:05.800
node 9.33, but there's also an endpoint, a newer one.

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So, you open one before, always before exporting, you need to create a library and I created a 

00:50:12.100 --> 00:50:18.200
library that I called Bin because I want to throw it away. Yeah, so you just ignore that. You make 

00:50:18.200 --> 00:50:26.100
it small. But it should be open and you go to export, I want all of them and the maximum per time 

00:50:26.100 --> 00:50:31.700
that is, that is Eric. And that's very often, a database have got limits. In this case I can do 

00:50:31.700 --> 00:50:35.750
200, if I do 200, I will get the 57. 

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And you click create file, at the bottom it's created. I double-click and automatically it will and 

00:50:45.900 --> 00:50:53.300
then you need to choose anyone. I don't care. It just needs to get into my thing and 

00:50:53.300 --> 00:50:54.600
here it is. 

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And then you've got, let's see. It should have the abstracts. Now. Let's see, has it got 

00:50:59.500 --> 00:51:00.899
abstracts? Yes. 

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00:51:00.899 --> 00:51:12.000
So if I go back you can export 

00:51:12.000 --> 00:51:13.750
also from Eric. 

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And here are all the filters. Every time it's a little bit different. They also have got Thesaurus. 

00:51:20.350 --> 00:51:30.400
And where is my Advanced? Can I do that? 

00:51:30.400 --> 00:51:38.350
I'm looking out for a mesh term or a thesaurus term, and you can see they've got 

00:51:38.350 --> 00:51:44.050
some related to special education, special education teachers again. 

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And how does this look? Okay.

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And I get more and more disabilities, go back to the categories and now I'm lost. 

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Go back. 

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This is different from what I'm used to but okay, they do have the right one. I said, I want that one.


00:52:18.000 --> 00:52:24.100
Search using. I think that is what I should do. I took the wrong one. So you can see me to in every 

00:52:24.100 --> 00:52:29.800
database and it's all I need to check like, okay, how does it work? But there are many 

00:52:29.800 --> 00:52:36.500
database had got these subject headings or thesaurus or mesh. And then, there is free text.  

00:52:36.500 --> 00:52:42.800
But free text is very often creating way more hits. That's why you need to be careful with that. And 

00:52:42.800 --> 00:52:48.600
also, with the the filters. You need to have a retionale.

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00:52:48.600 --> 00:52:55.200
Don't just tick the filters until the numbers fits. I'm looking for Advanced but I think this is just 

00:52:55.200 --> 00:53:04.500
tips. Yeah, that's just the tips. I actually don't see the history here. That's interesting. 

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00:53:06.600 --> 00:53:09.850
Like all the other databases. 

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00:53:09.850 --> 00:53:16.500
No, but you are absolutely capable of exporting it, but look at this, you've got now 7000. I would 

00:53:16.500 --> 00:53:24.500
not export 7,000, never ever. But if you were to do that, it will still force you to do 200 at a 

00:53:24.500 --> 00:53:33.100
time. So then the first time you just say, 1 to 200 and the second time you say 201 to 400 and then 

00:53:33.100 --> 00:53:38.400
401 to 600. That's how you get more if you want more. 

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00:53:38.400 --> 00:53:45.550
But I would never export 7,000 unless I have a very good reason like a systematic review. 

00:53:45.550 --> 00:53:53.100
Okay. I'm going to stop now. Any other questions or other database you've got stuck in? Eric is 

00:53:53.100 --> 00:54:01.200
indeed more in education, PubMed and Embase are very Medical. But again for social sciences, you 

00:54:01.200 --> 00:54:05.200
can't actually avoid them as well because they are broad. It's not just medicine and Allied 

00:54:05.200 --> 00:54:08.050
Health. As I said, if I do reviews I always 

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00:54:08.050 --> 00:54:16.650
Use PubMed and Embase. In social sciences I add Eric, I add sometimes web of science, I add 

00:54:16.650 --> 00:54:22.300
although I don't like it because I think that one doesn't have subject headings Cinahl, but it's 

00:54:22.300 --> 00:54:29.300
more Allied Health. And again, if you really are doing the systematic review, check in your area. 

00:54:29.300 --> 00:54:36.200
What type of what databases are the reviews include? If they include like, 12 databases, that is 

00:54:36.200 --> 00:54:38.150
nonsense. That is just bragging. 

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It's over-the-top. You don't need that much databases. 

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Any other questions? Because I don't think we're going to do anything else at this moment. So shoot, 

00:54:47.900 --> 00:54:53.500
if you've got a problem or anything with this searches or databases. 

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Melissa: Do you also want us to look at Scopus database? 

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00:55:10.400 --> 00:55:19.400
Renee: Okay. Would you like me to 

00:55:19.400 --> 00:55:24.800
show you how you do Scope again? Melissa: Well, I just want to know if that's also something that we 

00:55:24.800 --> 00:55:32.350
should be thinking about when doing our our proposal and theses.

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Renee: You don't necessarily need to do it. The reason why I actually did it is sometimes people come 

00:55:38.700 --> 00:55:43.900
to you and they will say they are fantastic researchers. What do we know? You can tell me '' I'm god''

00:55:43.900 --> 00:55:49.900
But still, then you put me in scopus and you see, well, that's relative.

00:55:49.900 --> 00:55:54.500
So people can think they are fantastic. That's okay. And maybe there are good and maybe they've written 

00:55:54.500 --> 00:56:00.200
books. Maybe they've done God knows what, maybe they got good PR, but if we talk about academic 

00:56:00.200 --> 00:56:02.300
achievement you go to Scopus

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and see what they published. And  that also gives you information whether other people 

00:56:07.000 --> 00:56:12.700
actually reference them. I mean, of course if you do research but nobody refers to 

00:56:12.700 --> 00:56:21.100
your research... Yeah, that's a little bit problematic. It's more that you know, it's there that you 

00:56:21.100 --> 00:56:27.400
can use it, don't get lost in Scopus. It's just play around. You can play with it and you can know 

00:56:27.400 --> 00:56:32.350
it exists. And especially I'm allergic to people who believe they are fantastic.  

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00:56:32.350 --> 00:56:42.800
I just put them in Scopus. Nobody can lie to Scopus. Okay, if you don't have any more 

00:56:42.800 --> 00:56:50.700
questions, then I'm just going to let you go and we've got lecture on Monday. Yeah, 

00:56:50.700 --> 00:56:56.900
and we talk further. Okay. Have a good day. At least I know there were three people that I 

00:56:56.900 --> 00:57:02.250
know here. Thank you very much. Thank you very much, I really 

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00:57:02.250 --> 00:57:14.950
appreciate it. Hana: Sorry, one last question, one more question. So many questions this lady. Yeah. 

00:57:14.950 --> 00:57:21.500
Okay, so I'm using statistics in Norway to just get some stats of the children in school who 

00:57:21.500 --> 00:57:29.100
are in Special Needs. How do you want us to present? Because it's a table that you can actually 

00:57:29.100 --> 00:57:32.350
customize yourself.  

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00:57:32.350 --> 00:57:39.900
Do you want us to present the table or do I just write it and then cite SSD, or... Renee: The talking is about your 

00:57:39.900 --> 00:57:47.000
research proposal, isn't it? Yes. I think in your research proposal, you can describe it or do 

00:57:47.000 --> 00:57:49.650
you say, well you need all data? 

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00:57:49.650 --> 00:57:57.900
No, then describe and refer to it because that is the only reason, that moment that moment absolutely you 

00:57:57.900 --> 00:58:03.400
can refer to website. It's absolutely correct. But that is indeed an 

00:58:03.400 --> 00:58:11.750
exceptional one. Please just describe it and refer to it. And add your source, 

00:58:11.750 --> 00:58:18.200
please. I know I repeat myself, but I know people who don't do 

00:58:18.200 --> 00:58:20.350
it and that's why I repeat myself so much. I'm sorry, 

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00:58:20.350 --> 00:58:30.200
I apologize. Hana: Oh, that's good. Like, just keep keep it going because,  I do refer to the 

00:58:30.200 --> 00:58:39.400
utdanningsdirektoratet and because  I'm doing basically Oslo  

00:58:39.400 --> 00:58:47.400
there's the county web page about what the rules are or something with special needs.

00:58:50.100 --> 00:58:55.300
Renee: But that makes sense. If you want to compare it with literature out there, then you need to have original legitimate 

00:58:55.300 --> 00:59:00.000
websites. But of course if you say well these are the data from Oslo then you need 

00:59:00.000 --> 00:59:09.900
those data. Absolutely. Okay. Yeah. Run for coffee because I'm going to do that. Okay. 

00:59:09.900 --> 00:59:12.990
I'm going to see you on Monday. Bye bye.