How to Write an Academic Article - A Guide for Advanced Academics

Do you need to write an academic paper? Do you have a lot to tell the world but are you not sure on how to go about doing so structured and well organized? This hero shows how you could structure your text. Enjoy!

Source: http://secondlanguage.blogspot.nl/p/40-paragraphs.html

40 paragraphs

The article will consist of roughly 40 paragraphs. Five of them will provide the introductory and concluding remarks. Five of them will establish a general, human background. Five of them will state the theory that informs the analysis. Five of them will state the method by which the data was gathered. The analysis (or 'results' section) will make roughly three overarching claims (that support the main thesis) in three five-paragraph sections. The implications of the research will be outlined in five paragraphs. These are ball-park figures, not hard and fast rules, but 'knowing' something for academic purposes means being able to articulate yourself in roughly these proportions.

  1. The First Three Paragraphs

It is difficult to overstate the importance of a good introduction. If your reader does not have a good sense of your argument by the end of the third paragraph (before reading the 600th word), there is something seriously wrong with your paper. Or, perhaps more tellingly, if you are unable to outline your argument straightforwardly and clearly in three paragraphs, you will be unable to write a good paper. When I talk about what a scholarly article is, I always use the opportunity to sketch 'the ideal introduction'. It consists of exactly three paragraphs and no more than six-hundred words.

The first paragraph tells us about the world we are living in. This should obviously be the world that your paper helps us to better understand. It's the world that needs to be understood in precisely the way you understand it. But in this paragraph we (your readers) don't want this understanding, we just want a recognizable description of the world we share with you. Talk to us like we only need to be reminded that this is where we live. It should be familiar to us and based on widely available sources. While you should avoid the letter of a statement like 'We live in a world of ...' or 'Ours is an age of ...', this is very much the spirit of the first paragraph. It's a time for commonplaces; it provides a shared place for you and your readers. In an important sense, you are here describing the practices that your paper is about. And these practices are interesting because there is some problem with them.

The second paragraph tells us about the science that studies this world. It summarizes the body of scholarship that has taken an interest in the problem that is described in the first paragraph. There are two good ways and one common but bad way to structure this paragraph. It can state either a constitutive consensus in the literature or a just as constitutive controversy. Scholarship will normally be characterized either by broad agreement about some issue (which your work will then challenge) or by a standing disagreement (where your paper will provide support to one side). Many papers these days begin by identifying a 'gap' in the literature (which the paper then proposes to fill), but this is a false start. The gap is only interesting because what you have found there bears upon some interesting consensus or controversy. So you should fill in the gap in advance (i.e., in this second paragraph) with the theoretical assumptions that shape your readers' expectations of your subject matter. Indeed, if the first paragraph is about practice, this paragraph is about theory; the problem persists despite precisely this theory.

The third paragraph tells us about your paper. 'In this paper, I show that...' is a nice, tight way to do this. Notice that supporting such a sentence requires you not to offer evidence but to outline your paper; it's a statement about your paper not about your object. So here you have to say something about, especially, your method (what have you done to put yourself in a position to know you are right). It should also briefly sketch the content of each section and leave us with a good sense of the implications of the paper as a whole (a paper will normally have a section for implications, so you may just summarize that section). The implications may be either theoretical or practical: you may show that practice ought to fall in line with a perfectly good theory, thus solving the problem by making the world a more 'ideal' place, or that the theory has be adjusted to better capture the 'real-world' practices, thus at least acknowledging the problem. Or you may argue for some combination of such implications.

These three paragraphs, finally, should each be organized around a claim that can be expressed in a single, declarative sentence. The rest of the paragraph merely supports that claim. Notice that the thesis of your paper is stated only within a larger claim about its being the thesis of your paper. And that claim has been nested in a claim about the world and a claim about the research that has already been done about that world. Since the world is construed in terms of some interesting problem, there should be no need for an explicit 'statement of the problem'. But if your editor (or teacher) insists, there's no harm in providing it.

  1. Standard Issue Background

It is commonplace to begin a paper with a few commonplaces about the world in which we live. This world will be described in a way that emphasizes the social practices that the paper will offer a scientific analysis of. But the description will not itself be scientific. It will, of course, be 'knowledgeable', but the knowledge it contains will not be dependent on either the theory or the method that supports the analysis. Instead, it will be based on sources that are also available to the reader, that is, published work.

That first paragraph of the paper, which establishes a common place where the reader and writer can share their interest in a particular corner of social life, will sometimes require elaboration. That is what the background section is for. The reader may know something about lean management practices, for example, but nothing about the manufacture and distribution of cardboard boxes in Sweden. Or the reader may need to know some general, historical facts about the company or companies that the writer has studied. The information that the writer provides here will, again, be available to the reader (and the writer does well to cite some good sources of the information along the way) but the writer is providing it anyway, for the reader's convenience. It is information that the reader could be aware of but presumably isn't. The reader will not find it presumptuous of the writer to assume that reader is ignorant about it.

The first paragraph of the introduction and the (roughly) five paragraphs of the background section really state the same claim. The introductory paragraph is the top of the iceberg (the summit), the background section is the tip of the iceberg (the part that is above water), and the dignity of the movement of this iceberg comes from everything the writer knows but does not say about the company, country or industry that the paper discusses. This is important to keep in mind as part of your growing base of knowledge. If you are doing a case study in a particular industry you will have a great deal of specialized knowledge about a particular company or, even more specifically, a particular team in a particular company. But you are not an expert on what that team does if you do not learn something about the factual world that it is embedded in. A scholar who has spent a lot of time within a company should be an interesting conversationalist about both that company and the industry it works in. That scholar should also be a reliable 'go to person' for ordinary facts related to it.

The content of the background section can be easily distinguished from that of the 'analysis' or 'results' section by being 'factual' but not, properly speaking, 'empirical'. The facts that are adduced here are not drawn from the experience of the writer, but from hearsay and reading (in the case of the former, preferably confirmed by the latter). By contrast, the facts that are presented in the results section are supported by 'data' that have been gathered by way of a 'method'. This has an important consequence: the writer has a special authority to speak about his or her results. Because a valid method has been applied, we are entitled to trust the author's presentation. Moreover, we have no easy way of validating the results themselves. To do so, we'd have to requisition the writer's data. Even then, we'd have to trust that it wasn't just made up. So, to be really sure, we'd have repeat the study, i.e., carry out our own observations of the same phenomena, i.e., have the same experiences. It is only in extreme cases that we'd go through that kind of trouble.

But the background section can be 'fact checked' in a more workaday sense. The reader can simply read the sources that the writer uses to support his or her claims. We can even find some better sources, where these are available. That is, because the background consists of commonplace claims, the writer has no special authority to make them. The text is also open to critique in a quite different way here than the results section is.

  1. Standard Issue Theory

There is arguably nothing more standard in a social science paper than the theory section. Most journals will demand not only a theory but some 'theoretical contribution'. Like PhD dissertations, however, papers are sometimes written with a theory separately in mind. The author will announce two objectives: first, to make that contribution to theory development, normally by producing a 'literature review', and, second, to make an empirical contribution, i.e., to present a set of results. While such papers do sometimes get published too, I don't recommend this approach. Your empirical results ought to have theoretical implications. You should not 'develop' your theory independently or in advance of your results.

As Pierre Bourdieu said, a theory is a 'program of perception'. In your theory section you are telling the reader how you see the world. In the social sciences, this means announcing which of the available theories of a particular, say, social practice you are letting inform your vision of that practice. It is how you are construing (or even outright constructing) your object. It is very important that, as a program of perception, you let your theory assign a series of descriptive tasks, marked by your concepts. Your theory tells you how you have to describe the world in your analysis (or 'results' section). And for this reason it is important make an inventory of the concepts (the theoretical terms) you will use in your paper. While your analysis will use these concepts, your theory section will account for them.

A theory is built out of concepts. Concepts inform our vision; they make us see a set of facts, actions or events as something, i.e., as being of a particular kind. When we see something as, say, a 'technology of self' or a 'sensemaking process' or an 'abstract machine' we have subsumed some part of the social world under a concept. Indeed, there will usually be more concrete objects and therefore more particular concepts: conduct, action, affects. This is why some people also call concepts 'categories of observation'. They simply make it possible to see particular things. More precisely, they make us construe the flux of experience as made up of empirical objects of a particular kinds. And objects in turn are simply limits on the possible. An object's 'properties', i.e., the specific truths you can state about an object, are ultimately limits on the way they can be combined with other objects (defined by the theory).

These possibilities are precisely what you want to remind the reader of. They are the expectations that your results will artfully disappoint. A good research paper in the social sciences shows that the objects that constitute the social world are capable of being combined in ways we did not expect. And it was our theory that conditioned us to hold those expectations in the first place.

  1. Standard Issue Methods

The methods section is perhaps the most conventional part of a standard research paper in the social sciences. There is a certain amount of room for creative syntheses of theory, and often a great deal of freedom in how the results themselves are presented. But the methods you use, and they way you talk about them, have to make your reader trust you. After all, you are setting the reader up for an artful disappointment. It is the methods section that ensures that the reader will actually feel that disappointment rather than merely doubt your results.

The most important thing, however, is that you tell the reader the truth about what you did. This section must accurately describe how you gathered the data on which you base your conclusions. How many interviews did you do? Over how long a period did you do onsite observation? How many surveys did you send out? How did you select your subjects and informants? How big was the data set you drew from industry databases?

But you must also show an awareness of the standard methodologies in your field. Though the distinction is sometimes blurred, method is what you did, methodology is the account of why it is the right thing to do. The standards here are often expressed by others in classic papers or handbooks. In the fields I normally work with, for example, if you're doing a case study you are likely to cite Kathleen Eisenhardt's paper 'Building Theories from Case Study Research' (AMR, 1989) and, just as likely, Robert Yin's widely read handbook, Case Study Research (Sage, 2009). You do not have to agree with everything they say, and both approaches themselves have a history of reception, i.e., their views have been adapted and modified in particular studies that may look more like your own. The point is merely that in order to be taken seriously as a 'case study', your paper must acknowledge precisely the tradition of case-study research that is informed and guided by such 'standard' statements (accounts) of method.

The good news is that once you have shown that you are an intelligent reader of the methodologies that are available in your field, your reader is likely to trust even your intelligent breaches of those methods. In one sense, it is true what Paul Feyerabend said many years ago in Against Method: 'The only principle that does not inhibit progress is: anything goes' (p. 7). But once you've done 'whatever' it takes to reach your conclusions, you must make a compelling case for what you've done. And here it is always a good idea to gesture respectfully at the conventional wisdom that constitutes your field of research.

  1. Standard Issue Results

In a standard-issue academic paper, the analysis of your results occupies about 37.5% of the text, or fifteen out of forty paragraphs. This morning I'd like to say something about how those fifteen paragraphs should be written. Keep in mind that this is the section in which you are the epistemic authority. Unlike the theory and method sections, your reader is not presumed to understand in advance what you are saying. Unlike the background section, your reader is not presumed to have access to sources that might contradict you. In the results section, you have the data. Your readers are, on the whole, going to trust you when you tell them what your data says.

I suggest you divide the section into two to four main parts, perhaps framed by an opening paragraph or two and a concluding summary. (It possible to do away with this frame by letting your methods section outline the structure of your results section and opening the implications section with a summary of the results.) The results section will be making an overall claim, which will have been summarized in the third paragraph of your introduction ('This paper shows that...'). But this claim will find support in a number of sub-claims. I suggest coming up with two to four claims mainly to give us that much-needed sense of finitude, each claim can then be given three to four paragraphs of support. In some cases, however, you'll have ten or more claims, each of which will have its own paragraph. The point of these proportions is not impose a set form on the presentation of your results but to get you to think about how the space of your results section will be structured.

The structure of the space will make it easier to organize your time. You goal, as always, is to get your prose into good enough shape to let you write a coherent paragraph (six sentences of prose that support a single, well-defined claim) in thirty minutes. Since you'll be writing fifteen paragraphs, you'll need seven and a half hours to do it, or three two-and-a-half-hour sessions. So when you are looking over your data, try to analyze it into claims that your are able to support in this way. This is the key to 'prosing your world', to putting what you have seen into writing.

A good results section is an account of your observations. It's not an account of everything you've seen or heard in the field, nor an exhaustive presentation of your data set. It is a summary of the data in support of empirical claims, i.e., claims about 'what is the case'. Your background section also makes claims about what is the case, but let's call these claims merely 'factual' and not 'empirical'. Like your empirical claims (your results), you must strive for the truth, but unlike them they are not based on observation. It is in your results section that your claims are based on your own first-hand research experience (that's what 'empirical' means). This is where you come to represent the world of practice. It is where you make it available for theorizing.

  1. Standard Issue Implications

These posts about the standard-issue social science paper (or standard issues in social science papers) are intended to get you thinking about the separate components of your knowledge base that put you in a position to write such a paper. You need not just 'empirical results' but also an everyday 'factual background', for example. It is not enough that you have seen something in your data; the result has to stand out in the everyday world of practice. I'll write about the theory section tomorrow to complete this series; this morning I want to talk about how important it is that your results have a specifiable set of 'implications'. Before you can expect to publish your paper, after all, you must be aware of how your reader's mind should be changed by reading. What does your work imply?

I have already said that the results section should artfully disappoint your reader's expectations. And the reader's expectations, in an academic paper, are shaped by the theory that the reader and writer share. But disappointments come in many shapes and sizes. Roughly speaking, a paper may highlight two kinds of implication, theoretical and practical. The results may evoke a disappointment in the theory, implying that the theory should be modified to accommodate the new facts brought to light by the study. Theories are always 'underdetermined' by observation, i.e., our knowledge of particular facts, so we are getting used to having to modify our theories as new work brings new facts to light. You want to make sure that the implications of your study are precisely a modification of your theory, not its outright rejection. There are rare moments in the history of a discipline when a paper that argues for the replacement of one theory with another can be published (these moments are what Kuhn called 'crises', which precede his 'scientific revolutions'). But normally you want to imply only that a theory, which should remain in place (and dominant) after you have published your work, needs to rethink certain assumptions.

The other kind of implication is practical. Here we suggest that we are really disappointed in the world, the behavior of practitioners. If only they understood the theory (which is right about these matters), and lived up to our expectations of them, their practices would be much more successful. That is, we are making recommendations to practitioners in light of empirical study of their practices, framed by a particular theory. Bob Sutton's 'no asshole rule' is such a recommendation. He is telling practitioners that 'research shows' that hiring assholes (or keeping them around if you have accidentally already hired one) is a bad idea. He uses a variety of theories to show that assholes undermine your ability to bring about what he calls a 'civilized' workplace. He is adjusting our view of who contributes to the value of an organization.

The implications section is best imagined as consisting of five paragraphs or one-eighth of the 40-paragraph paper. That will mean you are drawing between 3 and 5 specific implications (depending on how you write the section). And you are perfectly entitled to draw both kinds of implication: recommendations for practice and contributions to theory. Just keep it simple. The main critical standard here is a logical one: your recommendations have to 'follow' from your background (description of practice), your theory, and your results in a logical way.

  1. (Introduction/)Conclusion

Just this week, during one of my undergraduate workshops, I had something of an epiphany about the rhetoric of an academic article. I've long argued that the only difference between the introduction and conclusion is a rhetorical one. The two sections say the same thing, which is to say, the conclusion does not contain information that the introduction has not already presented; but they say it differently or, more precisely, they address different audiences. And the difference is a very small and precise one: the reader of your conclusion is the same reader as the reader of your introduction except that the reader of your introduction has not yet read your paper and the reader of your conclusion has just read it. Beyond that, I used to say, you're free to write the conclusion as you choose ... oh yes, except that you only have two paragraphs to accomplish what you did with three in your introduction.

But look what I discovered while workshopping a conclusion this week. We began by sharpening the introduction to give us the ideal form. The first paragraph provided a description of the world in which the paper is needed. 'We live in an age of...' it might (too) typically begin. The second paragraph introduces the relevant science: 'Scholars agree that...' (or, conversely, 'Current scholarship is divided about...') It is only the third paragraph that introduces your thesis: 'In this paper, I show that...' Notice that until the third paragraph, no mention is made of you or your thesis; you are positioning your thesis in a world of shared concern and a body of current scholarship.

And notice also that even in that third paragraph you don't actually state your thesis. The key sentence of that paragraph is not a claim about your object; it is a claim about your paper. This means that the relevant kind of support is provided by a description of your paper ('After recalling the recent history of efforts to ..., I will outline my theoretical framework. The analysis uses the method of ..., which gives access to ... On this basis, I conclude that ... and emphasize the importance of ... in rethinking best practices in this area.') It is not actually an argument for the truth of your thesis. It is a description or outline of such an argument.

I have said before that the first paragraph of your conclusion and the last paragraph of your introduction should mirror each other. In the introduction there should be a paragraph about what you will say, while in the conclusion the same paragraph should tell us what you have said. But this can be quite boring ('In this paper, I have shown that...' etc.) We now arrive at the epiphany.

 'In this paper, I show that...' will continue with some proposition. 'In this paper, I show that organizational designs not market forces are to blame for the financial crisis.' That proposition, of course, states the major thesis of the paper. Now, what your paper should be putting you in a position to do is precisely to state that thesis, plainly and straightforwardly. After reading your paper, the reader should be in a position to understand a simple, efficient, 6-sentence, 150-word argument for your thesis. Let, the penultimate paragraph of your paper, i.e., the first paragraph of your conclusion be that argument.

Its key sentence will be your thesis. 'Organizational designs not market forces are to blame for the financial crisis.' Leave out explicit mentions of method and instead state the major empirical claims that your method allowed you to discover. Also leave out any explicit mentions of theory, but use theoretical terms as though they are part of the vocabulary shared by you and your reader (if your paper is any good, by this point they are.) Three of the sentences will normally simply state the sub-theses that your analysis arrives at. However, you choose to do it, keep it simple. This is the moment when you show the reader that s/he's understood what you've been trying to say. Here's the simplest possible statement of your argument for the most informed possible reader.

There's one paragraph left. To write it, think about your 'implications' section. What change (whether in theory or practice) in the mind of your reader does your paper suggest? How should the reader see or do things differently after granting the rightness of your conclusions? In a word, how have you changed the reader's world? Write the last paragraph as a description of this new world. The first and last paragraph, set side by side, should describe the 'before' and 'after' images of the world that your research pertains to—the world that needs your research. It is the world that needs to change in the way suggested by these images.

When I explained this to a group a faculty members recently something truly profound hit me: that last paragraph is also the first paragraph of your next paper.

 

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The Academic Skills Bundle

How to Write an Academic Article - A Guide for Advanced Academics

How to Write an Academic Article - A Guide for Advanced Academics

Academic article

Do you need to write an academic paper? Do you have a lot to tell the world but are you not sure on how to go about doing so structured and well organized? This hero shows how you could structure your text. Enjoy!

Source: http://secondlanguage.blogspot.nl/p/40-paragraphs.html

40 paragraphs

The article will consist of roughly 40 paragraphs. Five of them will provide the introductory and concluding remarks. Five of them will establish a general, human background. Five of them will state the theory that informs the analysis. Five of them will state the method by which the data was gathered. The analysis (or 'results' section) will make roughly three overarching claims (that support the main thesis) in three five-paragraph sections. The implications of the research will be outlined in five paragraphs. These are ball-park figures, not hard and fast rules, but 'knowing' something for academic purposes means being able to articulate yourself in roughly these proportions.

  1. The First Three Paragraphs

It is difficult to overstate the importance of a good introduction. If your reader does not have a good sense of your argument by the end of the third paragraph (before reading the 600th word), there is something seriously wrong with your paper. Or, perhaps more tellingly, if you are unable to outline your argument straightforwardly and clearly in three paragraphs, you will be unable to write a good paper. When I talk about what a scholarly article is, I always use the opportunity to sketch 'the ideal introduction'. It consists of exactly three paragraphs and no more than six-hundred words.

The first paragraph tells us about the world we are living in. This should obviously be the world that your paper helps us to better understand. It's the world that needs to be understood in precisely the way you understand it. But in this paragraph we (your readers) don't want this understanding, we just want a recognizable description of the world we share with you. Talk to us like we only need to be reminded that this is where we live. It should be familiar to us and based on widely available sources. While you should avoid the letter of a statement like 'We live in a world of ...' or 'Ours is an age of ...', this is very much the spirit of the first paragraph. It's a time for commonplaces; it provides a shared place for you and your readers. In an important sense, you are here describing the practices that your paper is about. And these practices are interesting because there is some problem with them.

The second paragraph tells us about the science that studies this world. It summarizes the body of scholarship that has taken an interest in the problem that is described in the first paragraph. There are two good ways and one common but bad way to structure this paragraph. It can state either a constitutive consensus in the literature or a

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Book summary of Critical Thinking - Moore & Parker - 12th edition

Book summary of Critical Thinking - Moore & Parker - 12th edition


What is critical thinking? - Chapter 1

[TOC]

What is the importance of critical thinking?

For us humans, there is an importance in critical thinking because it aids us in making good decisions. Often we do not realise how irrational our decisions can be, and this is where critical thinking comes in. Critical thinking basically means thinking about our thinking. We make use of logic and reason to determine whether or not a claim is true, if the reasoning behind it is sound and if we can draw a correlation or connection. It is not necessarily about coming up with claim as much as evaluating the correctness of claims that have been made and try to form a proper conclusion.

To achieve this, we evaluate our thinking on the basis of rationality. When we understand how critical thinking works, we can use this knowledge to be critical in multiple subjects and situations in our daily lives. It is, however, important to understand that criticising other people’s claims and ideas does not mean that we want to attack other people, only that we are trying to find the logic in them. Also, criticising other people in not always a case of critical thinking. People can criticise in the most illogical and unreasonable ways, without considering whether or not their claims are true or their reasoning sound.

When we come to a conclusion at the end of a reasoning, we call that a belief. Beliefs are prepositional and can be either true or false. Beliefs can be compared to a judgement or an opinion. When a belief is stated in a declarative way, that is when we start calling it a claim or statement. Claims are things that we can think critically about.

What are important elements of critical thinking?

Within critical thinking, there are three important parts: claims, issues and arguments. These parts can be analysed once they have been determined in conversation or writing.

Claims

Claims are things that we write or declare, to bring across information. With claims we often deal with statements, opinions or

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Summary of What is this thing called Science by Chalmers: 4th edition

Summary of What is this thing called Science by Chalmers: 4th edition


Does knowledge consist of facts that have come from experience? - Chapter 1

What is the common sense view of science?

In the first four chapters of this book, the statement "science is derived from facts" is critically analyzed. Throughout the book, this statement's meaning changes slightly. Facts are statements about the world that can be sensed. Facts are neither personal opinions nor speculative ideas. If the world is perceived accurately and without prejudice, the facts that are established are, therefore, a reliable and objective basis for science. Scientific knowledge is reliable and objective if the facts guide conclusive reasoning to laws and theories that make up the basis for scientific knowledge. Before the 17th century, science was primarily based on authorities such as the Bible and Aristotle. Due to people like Galileo, this idea changed in the 17th century. People started to see observation as the basis of science.

Empirists (such as Berkeley, Locke, and Hume) and positivists held the idea that we can see facts as indisputably correct through observation. It follows from this reasoning that knowledge derived from this is objective and reliable. However, it is doubtful that science is based on observable facts. The problem that arises following the statement that science can be deduced from the facts relates to:

  1. The nature of the 'facts' and the way in which scientists have access to those facts;
  2. The way in which laws and theories can be derived from the facts, once we know those facts.

Some believe that facts are at the basis of science because they have the following assumptions:

  • Facts are directly accessible through the senses to all unbiased observers;
  • Facts precede the theory and are
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Glossary of Academic Skills for the Social and Psychological Sciences

Glossary of Academic Skills for the Social and Psychological Sciences


Chapter 1: Literature

 

Literature review A detailed overview of the significant literature available about your chosen topic, providing a discussion and critical evaluation, and using clear argument to contextualise and justify your research. (p. 4)

Peer review The process of evaluating an article by experts to ensure the article meets quality criteria before being accepted for publication. (p. 9)

Textbooks Written specifically for audiences such as students or professionals. Material usually presented in an ordered and relatively accessible form. Often draw on a wide range of sources including peer-reviewed academic journal articles. Useful, particularly as an introductory source to get an overview of your research topic and find out who are the recognised experts. (p. 10)

Peer-reviewed academic journal articles Provide detailed reports of research. Articles written by experts in the field and evaluated by other academics (peer reviewers) to assess quality and suitability. Pay rigorous attention to detail and verification of information. Usually contains extensive list of references. Before publication, have usually been revise in response to comments. This is the most useful type for your literature review. Not all academic journal articles are peer-reviewed. (p. 10)

Non-refereed academic journal articles Articles may provide detailed reports of research. Articles selected by an editor or editorial board with subject knowledge. Relevance and usefulness varies considerably. Beware of possible bias. (p. 10)

Professional and trade journal articles Articles written for members of professional or trade organisations, so related to their needs. Consist of a mix of news items and more detailed accounts of a practical nature. Articles rarely based on research, although some provide summaries of research. Can provide useful insights into practice, although may be biased. Need to be used with considerable caution. (p. 10)

Newspaper articles Articles written for members of public, most newspapers addressing a particular market segment. News presented is filtered dependent on events, priority being given to headline-grabbing stories that are likely to appeal to the readers. Good source of topical events and developments. May contain bias in reporting and coverage. (p. 10)

Conference proceedings Articles consist of selected papers presented at a conference, often published as a book or special edition of a journal. Usually peer-reviewed. Increasingly available online. Sometimes difficult to find. Very useful if the theme of the conference matches your research. (p. 10)

Reports Reports on specific topics written by academics and various organisations, including market research organisations and government departments. Beware of possible bias. May not have gone through same review process as peer-reviewed academic journal articles, but those from established organisations are often of high quality. Often difficult to access or expensive

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What general skills does a social worker need? - Chapter 6

What general skills does a social worker need? - Chapter 6

The listening skills can be divided into non-selective (actually impossible not to perform) and selective. The 'non'-selective skills include non-verbal behavior, careful following of the conversation and the use of moments of silence. Selective listening means asking questions, reproducing the information given in one's own words, stimulating precise answers and summarizing. Regulatory skills relate to opening of the conversation, formulation of goals, making agreements about goals, clarifying situation and concluding the conversation. These skills coincide with the phases of problem clarification, problem nuance and problem handling.

How does the social worker start?

First of all, the counselor must make clear what the usual course of events is, so that the client knows what to expect. The counselor must explain what his way of working is. The caregiver cannot do this if the client is completely confused. However, if the client is not particularly confused, the counselor can explain how he works and can make some suggestions. If the client agrees with these proposals, then both can start using them. If the client does not agree with the proposals, a different way of working must be implemented. Because of the structure that the counselor introduces in the beginning, the client will also get more clarity. Some practical issues will also have to be discussed in the beginning; such as the costs and duration of the calls. If both parties know what they can expect, an initial contract can be made.

Which 'non'-selective listening skills are important?

Being able to listen to someone properly is a profession in itself. One must show interest without interrupting too much. One has to listen carefully, but not lose sight of the role of caregiver. The caregiver must also keep his attention focused on his profession. In addition to listening, non-verbal behavior is another important aspect. This behavior has a lot of influence on communication between people. The facial expression is one of the most important forms of non-verbal behavior. For example, a smile can express interest and a sense of consent while a frown will express antipathy and disapproval. Different facial expressions have different meanings at different times. The rescuer can choose to manipulate his facial expression. He must be careful that he does not do this too much. As a result, he may lose his attention and the client may think that he is not being taken seriously. Eye contact also plays a very important role. Lack of eye contact by the health care professional could indicate that they are not involved. Excessive eye contact could lead to a feeling of discomfort. Finally, the body language plays a significant role. A relaxed body posture is the best posture. Gestures that encourage the client such as encouraging nods are also desirable.

A verbal way to pay attention is to follow what the client has to say. The counselor does not try to steer the client, but tries to stick to the client's storyline. In addition, the counselor tries to encourage the client, among other things by giving short verbal

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What is professional skills in pedagogics?

What is professional skills in pedagogics?

Professional skills in pedagogy encompass the knowledge, abilities, and attitudes that educators and educational professionals need to effectively work with children, young people, and adults. These skills are essential for guiding learning processes, creating safe and stimulating learning environments, and ensuring the optimal development of individuals.

What are the main features of professional skills in pedagogics?

  • Scientific Foundation: Skills are based on research in learning, development, and effective teaching practices.
  • Reflection and Critical Thinking: Educators can reflect on their practice, critically evaluate their work, and continuously develop their knowledge and skills.
  • Communication and Collaboration: Effective communication with students, parents, colleagues, and others is crucial. Collaboration is key to creating optimal learning environments.
  • Diversity Awareness: Recognizing and valuing differences, educators can work effectively with learners from diverse backgrounds, cultures, and needs.
  • Ethics and Professionalism: Educators act in accordance with ethical principles and professional codes of conduct.

What are the most important sub-areas of professional skills in pedagogics?

  • Instructional Science: Teaching skills, lesson planning, assessment methods, learning processes.
  • Developmental Psychology: Cognitive, social, emotional, and physical development of children and young people.
  • Educational Sciences: Educational styles, parental involvement, managing challenging behaviors.
  • Classroom Management: Creating safe and stimulating environments, classroom management techniques.
  • Special Education: Supporting learners with special educational needs.

What are the most important concepts of professional skills in pedagogics?

  • Learning: How people learn in different ways and how to optimize learning processes.
  • Development: The stages of physical, cognitive, social, and emotional development.
  • Education: The principles and practices of effective teaching.
  • Inclusion: Creating learning environments where all students feel welcome, valued, and challenged.

Who are the most influential figures of professional skills in pedagogics?

  • John Dewey: American philosopher and educator, advocated for experiential learning.
  • Jean Piaget: Swiss psychologist, known for his theory of cognitive development.
  • Lev Vygotsky: Russian psychologist, emphasized the role of social interaction in learning.
  • Paulo Freire: Brazilian educator, proponent of critical pedagogy.
  • Maria Montessori: Italian physician and educator, developer of the Montessori method.

Why is professional skills in pedagogics important?

Professional skills in pedagogy are crucial for:

  • Promoting the optimal development of children, young people, and adults.
  • Guiding effective learning processes.
  • Creating safe and stimulating learning environments.
  • Addressing diversity and inclusion.
  • Acting ethically and professionally.

What are applications of professional skills in pedagogics in practice?

Pedagogical professionals with strong skills work in diverse settings, including:

  • Schools: Teachers, lecturers, educational support staff.
  • Early Childhood Education: Educators, childcare providers.
  • Youth Work: Youth workers, youth coaches.
  • Special Education: Educational support staff, pedagogues.
  • Other Educational Settings: Trainers, instructional designers, curriculum developers.
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Stats for students: Simple steps for passing your statistics courses

Stats for students: Simple steps for passing your statistics courses

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Stats of studentsTheory of statistics

  • The first years that you follow statistics, it is often a case of taking knowledge for granted and simply trying to pass the courses. Don't worry if you don't understand everything right away: in later years it will fall into place and you will see the importance of the theory you had to know before.
  • The book you need to study may be difficult to understand at first. Be patient: later in your studies, the effort you put in now will pay off.
  • Be a Gestalt Scientist! In other words, recognize that the whole of statistics is greater than the sum of its parts. It is very easy to get hung up on nit-picking details and fail to see the forest because of the trees
  • Tip: Precise use of language is important in research. Try to reproduce the theory verbatim (ie. learn by heart) where possible. With that, you don't have to understand it yet, you show that you've been working on it, you can't go wrong by using the wrong word and you practice for later reporting of research.
  • Tip: Keep study material, handouts, sheets, and other publications from your teacher for future reference.

Formulas of statistics

  • The direct relationship between data and results consists of mathematical formulas. These follow their own logic, are written in their own language and can therefore be complex to comprehend.
  • If you don't understand the math behind statistics, you don't understand statistics. This does not have to be a problem, because statistics is an applied science from which you can also get excellent results without understanding. None of your teachers will understand all the statistical formulas.
  • Please note: you will have to know and understand a number of formulas, so that you can demonstrate that you know the principle of how statistics work. Which formulas you need to know differs from subject to subject and lecturer to lecturer, but in general these are relatively simple formulas that occur frequently and your lecturer will tell you (often several times) that you should know this formula.
  • Tip: if you want to recognize statistical symbols you can use: Recognizing commonly used statistical symbols
  • Tip: have fun with LaTeX! LaTeX code gives us a simple way to write out mathematical formulas and make them look professional. Play with LaTeX. Wit that, you can include used formulas in your own papers and you learn to understand how a formula is built up – which greatly benefits your understanding and remembering that formula. See also (in Dutch): How to create formulas like a pro on JoHo WorldSupporter?
  • Tip: Are you interested in a career in sciences or programming? Then take your formulas seriously and go through them again after your course.

Practice of statistics

Selecting data

  • Your teacher will regularly use a dataset for lessons during the first years of your studying. It is instructive (and can be a lot of fun) to set up your own research for once with real data that is also used by other researchers.
  • Tip: scientific articles often indicate which datasets have been used for the research. There is a good chance that those datasets are valid. Sometimes there are also studies that determine which datasets are more valid for the topic you want to study than others. Make use of datasets other researchers point out.
  • Tip: Do you want an interesting research result? You can use the same method and question, but use an alternative dataset, and/or alternative variables, and/or alternative location, and/or alternative time span. This allows you to validate or falsify the results of earlier research.
  • Tip: for datasets you can look at Discovering datasets for statistical research

Operationalize

  • For the operationalization, it is usually sufficient to indicate the following three things:
    • What is the concept you want to study?
    • Which variable does that concept represent?
    • Which indicators do you select for those variables?
  • It is smart to argue that a variable is valid, or why you choose that indicator.
  • For example, if you want to know whether someone is currently a father or mother (concept), you can search the variables for how many children the respondent has (variable) and then select on the indicators greater than 0, or is not 0 (indicators). Where possible, use the terms 'concept', 'variable', 'indicator' and 'valid' in your communication. For example, as follows: “The variable [variable name] is a valid measure of the concept [concept name] (if applicable: source). The value [description of the value] is an indicator of [what you want to measure].” (ie.: The variable "Number of children" is a valid measure of the concept of parenthood. A value greater than 0 is an indicator of whether someone is currently a father or mother.)

Running analyses and drawing conclusions

  • The choice of your analyses depends, among other things, on what your research goal is, which methods are often used in the existing literature, and practical issues and limitations.
  • The more you learn, the more independently you can choose research methods that suit your research goal. In the beginning, follow the lecturer – at the end of your studies you will have a toolbox with which you can vary in your research yourself.
  • Try to link up as much as possible with research methods that are used in the existing literature, because otherwise you could be comparing apples with oranges. Deviating can sometimes lead to interesting results, but discuss this with your teacher first.
  • For as long as you need, keep a step-by-step plan at hand on how you can best run your analysis and achieve results. For every analysis you run, there is a step-by-step explanation of how to perform it; if you do not find it in your study literature, it can often be found quickly on the internet.
  • Tip: Practice a lot with statistics, so that you can show results quickly. You cannot learn statistics by just reading about it.
  • Tip: The measurement level of the variables you use (ratio, interval, ordinal, nominal) largely determines the research method you can use. Show your audience that you recognize this.
  • Tip: conclusions from statistical analyses will never be certain, but at the most likely. There is usually a standard formulation for each research method with which you can express the conclusions from that analysis and at the same time indicate that it is not certain. Use that standard wording when communicating about results from your analysis.
  • Tip: see explanation for various analyses: Introduction to statistics
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