shribe!

Are you feeling completely overwhelmed and don’t know how to start your literature review?

On top of that, time is running out, and you can’t afford to spend hours searching through various databases?

Fortunately, there are new, smart AI tools that are revolutionizing the world of scientific research.

In this article, I’ll show you the top 4 AI tools currently available that will help you write your literature review faster than ever before.

And I’m not talking about days—I’m talking about minutes! Let’s dive into how to write a literature review with AI!

#1 Paperdigest.org

If you’re in search of relevant publications on a specific topic, then paperdigest.org is the perfect tool for you.

You can easily input the subject of your research, for example, “Organizational Identity,” and with just one click, you’ll receive a comprehensive list of references for that theory.

The best part is that you have the option to choose: you can decide whether you want to see all the recent papers from the past year, the last five years, or all available papers.

Here, you need to tailor your search strategy to the goal of your literature review.

Goal: Explain a Theory

If this is your goal, I recommend selecting all available papers without any time restrictions and then working your way towards the more recent works.

If you’re writing a chapter about an established theory, you should never neglect foundational papers. These can be several decades old.

The AI tool provides you with an overview of how the theory has evolved over time and how you can narrate the theory’s development.

However, always incorporate your specific research question and your own argument while writing.

What you definitely don’t want is a theory chapter that sounds like it was generated by AI and reads like a Wikipedia article.

Goal: Review the Current State of Research

If this is your goal, then set the parameters to limit the selection to papers from the last 2-3 years. If the results become too sparse, gradually expand the time frame.

But don’t forget to check if there might be an extremely important paper that stands out. You can identify this by the number of citations.

You can selectively complement your literature selection from the last 2-3 years with these seminal papers.

What Else Can the Tool Do for You?

But that’s not all.

Paperdigest not only provides a list of papers but also summaries of these works.

You can create up to 5 summaries for free each day. If you need more, you can get the full version, which currently costs about 10 dollars per month (as of September 2023).

Remember to export or save the list of papers, as it can serve as a starting point for your further work in your literature review.

Paperdigest is best suited for when you’re not sure where to start with your literature review.

This way, you’ll get a summary of the most important and influential works on your topic. From there, you can continue your review.

At this point, I would like to remind you that you should not blindly use Paperdigest or any other of the following tools.

They are currently the best tools on the market, but they are not perfect yet. The AI in this field is just getting started and is constantly evolving.

The quality of your literature review still depends on you and how well you can connect the literature with your own argument and an original research question.

#2 Elicit.org

Thanks to Paperdigest, you now have an overview of your topic.

As you read the papers, make note of all the questions that come to your mind.

And now, our next tool comes into play: Elicit.org (which is currently free to use).

There is also a newer version available on elicit.com, but for the purposes I’m showing you, you should use elicit.org.

When you go to elicit.org, you can ask the tool a research question or enter all the questions that came to your mind while reading the papers.

Let’s take an example.

Let’s say you want to explain the theoretical concept of organizational identity in your literature review. Simply ask elicit: “What is organizational identity?”

And you’ll instantly receive a list of relevant sources.

If you sort them by citations, the most relevant articles will be displayed. Or you can sort them by year so that the most recent papers appear at the top.

If you click on the question box again, you can click on “Brainstorm more questions,” and you’ll be presented with additional questions related to your topic.

For example: “What are the components of organizational identity?” or “How does organizational identity affect employee engagement?” And you can again view relevant sources for these questions.

By doing this, you can delve even deeper into your topic and conduct an excellent literature search for your review.

One of the best features is also that you can display a summary of the abstract to quickly assess its relevance to your work.

Furthermore, you can view additional details of the papers, such as the number of study participants, interventions, and results.

This is especially handy if you want to examine papers based on their methodology.

#3 Litmaps.com

Would you like to have a visual overview of research literature? This could be especially interesting if your entire work is a systematic review and you want to create visual representations.

In this case, the tool “Litmaps” comes into play (the free version, in my opinion, is sufficient).

With Litmaps, you can see the order in which the literature was published, how it is interconnected, and how it relates to each other.

Furthermore, the tool provides recommendations for additional papers you could include based on this information.

Here, you get a comprehensive overview of the current state of research and can be confident that the sources are relevant to your topic.

Litmaps also only displays papers that have been cited multiple times. This ensures that these works are important to other researchers as well.

Because what Litmaps represents are called citation networks. A paper is a node, and the connections between papers are the references made between them.

When you select a specific paper, you can see all the works connected to the original paper.

When you click on a paper, you get a summary, references, citations, and other works strongly related to the topic.

This makes it easier for you to select and delve into relevant literature, and it can enrich your literature review with a compelling visualization.

#4 jenny.ai

The next tool is truly next level because it practically writes the review for you.

Here, you’re quickly entering the gray area between AI being a helpful tool and plagiarism, but we’ll discuss how to handle this at the end of the video.

With jenny.ai, you’ve never written a literature review as quickly before.

Generating text with Jenni.ai

After logging in, you can create a new document. Let’s say you’re working on a literature review, in which you’re using organizational identity as a theory.

Immediately, you’ll receive suggestions on how to start. If you like a suggestion, you can accept it, and Jenni AI will formulate the next sentence based on that. However, you can also ask for more suggestions until you’re satisfied.

Furthermore, you can introduce your own ideas into the tool to steer the text in a specific direction. Jenni AI can then continue to work based on this input and provide you with further text suggestions.

When it comes to citations, the tool is quite helpful as well. Currently, this is a weakness of many other tools, such as ChatGPT.

Suppose you want to include a citation. You simply highlight the relevant text, click on “Cite,” and Jenni AI will search various sources for relevant publications to support the sentence.

You can then easily add the desired citation. However, please note that you should verify the accuracy of your citations and the suggested sources. I cannot stress this enough, but you are responsible for doing so.

Jenny AI also offers various citation styles to choose from. My preferred style is APA, where the reference is placed in parentheses in the text. However, Jenni AI offers flexibility, allowing you to choose your citation style based on your supervisor’s requirements or the preferences in your research discipline.

Ask Jenny

Another really great feature is the chat function.

With a click on “Ask Jenny,” you can ask Jenny to perform various tasks for you. Think of this function as ChatGPT but optimized for research.

For instance, you can ask for headings for your subchapters, and you’ll receive an outline to which text will be automatically generated. It really can’t get any easier than this.

Jenny AI is genuinely impressive when it comes to writing.

Unfortunately, this convenience comes with a price, but it’s still quite reasonable, in my opinion.

With the free version, the AI generates up to 200 words per day. If you need more words, you’re looking at 20 dollars per month (as of September 2023).

You can get 20% off if you use my code SHRIBE20.

My Assessment of Literature Reviews with AI Tools

AI tools are here to stay.

From my perspective, it doesn’t make much sense to ignore or refrain from using them just because they are new. However, that doesn’t mean you can skip critical thinking.

Even with AI tools, your literature review will only be as good as your ability to understand and utilize this new technology.

The four AI-powered tools mentioned here can help you find relevant sources, create summaries, and enhance your literature research.

Of course, this also doesn’t mean that you shouldn’t read for yourself and become an expert in the subject of your research. It would be embarrassing if you were asked a substantive question about your work, and you couldn’t provide an answer.

Don’t leave the thinking to AI, but rather delegate repetitive tasks to it. Use the time you free up not to scroll through social media but to invest your cognitive resources in creative thinking that enhances your academic work.

As always, what we discussed today also means that you should be transparent about your use of AI. Describe in your methodology section or declaration how and which tools you used as aids.

Having gone through the steps, you now know how to write a literature review with AI!

For more on this topic, refer to my ChatGPT plagiarism video.

Developing an interview guide for qualitative research projects can be overwhelming at first.

How should you structure the guide?

How do you translate a theory into specific questions?

And what is the difference between open interviews, semi-structured, and structured interview guides?

Help is on the way.

Because in this article, I want to answer all these questions and provide you with a comprehensive tutorial that will allow you to create your interview guide in no time.

To ensure that this video is not just semi-structured like your guide, I have divided the process of creating an interview guide into 5 steps that are easy for you to follow.

By giving you concrete examples for each part of your guide, your interview preparation will become the foundation for an outstanding qualitative research project.

#1 Developing an Interview Guide: Use an established formula

When developing an interview guide for qualitative research projects, you don’t have to reinvent the wheel. The structure for such a guide almost always looks the same. Here’s how it goes.

Before the Interview

The first element of developing an interview guide for qualitative research includes some instructions for you as the interviewer. These are essentially “director’s notes” that you can follow to initiate the interview.

#1 Introduce yourself

This includes your name, age, and the role in which you are conducting the interview.

#2 Thank the interviewee for participating

Interviewees allocate valuable time from their work or even personal life to answer your questions. You shouldn’t miss the opportunity to sincerely express your gratitude.

#3 Provide a brief hint about the research objective

However, you shouldn’t disclose the specific details or research question in advance, as you don’t want to impose any biases on your interviewee. Nonetheless, it is appropriate to give the interviewee some context so they have a rough idea of why they are part of the study.

If you’re unsure, you can also preformulate and read this hint about the research objective. Of course, you can also deliver it freely, but only if you are very confident.

#4 Information on anonymous data handling

Here, you can provide the following information:

“The audio data from this interview will be recorded, transcribed, anonymized, and aggregated. The results will be prepared as part of a study at XYZ University. Recordings will be deleted from all devices upon completion of the study.”

And, of course, you should follow through with this!

#5 Obtain consent

“Are you willing to consent to the recording of our conversation for analysis purposes? I assure you that your anonymity will be maintained, and no inferences about your personal identity will be possible.”

#6 Address any open questions

“Do you have any questions before we begin the interview? If so, feel free to ask them now.”

#7 Start recording

Press the record button. 😉

After the Interview

Even immediately after the interview, you also have a small section you should incorporate in your guide.

#1 Stop recording

Cut! You’ve got it in the can.

#2 Express your gratitude for their participation (yes, once again!)

Yes, even after the interview, you thank them once again. I once had an interviewee who didn’t hang up on time, and I could still hear their loud and relieved sigh. Conducting such an interview for an hour or even longer is exhausting and certainly not taken for granted!

#3 Announce a report about the results

Remind your interviewee once again that the results will be nicely presented after the study is completed, so they or their organization will gain something tangible from it. This serves as a reminder that they also benefit from participating. Of course, you should follow through on this and, even if it’s not part of the submission, create a cool PDF or some sort of briefing that provides added value to the participants.

#4 Snowballing

If you’re in the midst of your study and need more interviewees, now is the perfect time to ask if the person knows anyone else who would also be suitable for the interview. Either the person is so fulfilled by the good deed of participating in the study or so exhausted that they insist their friends and colleagues must have this experience too!

This way, you skillfully expand your sample.

#2 Developing Interview Questions

Now let’s move on to the question blocks of your interview guide. The first block is typical for all interviews interviews, regardless of the topic.

It is all about getting to know the interviewee.

Block 1: Personal and Organizational Information

If your interviewee is not representing an organization or company, you can omit these questions and instead focus on determining their expertise related to the research topic using comparable questions.

How old are you? What is your current position in the company? How long have you been working in the company? How much work experience do you have in your current position (in years)? What is the core business of your company? Which industry would you classify your company in? Of course, you can replace “company” here with any NGO, association, or research institution.

Block 2-X: Open Ended Questions

In this section, you develop your main interview questions.

A good strategy for developing an interview guide for qualitative research is to divide it into blocks. Each block has questions about your research topic.

For a semi-structured interview, it makes sense to move from unstructured to more structured questions.

However, in this part of you guide, all questions should be open-ended. This means that the answer cannot be yes or no.

Two example for an unstructured question is the follwing:

“Please tell me about your experience while you were working at company X.”

or

“What do you know about topic Y?”

And here are two examples for structured questions:

“What are the core values of your organization?”

or

“How do you typically learn new negotiation techniques?”

Make sure to ask the same structured questions in each interview so you can better compare the answers.

So far, we have explored examples of interview questions that aim at investigating a certain research topic.

However, you might also want to develop your questions based on theory, so you can relate the answers you get to what the literature says or a specific theory would predict.

#3 Using Theory to Develop Interview Questions

The following recommendations for creating an interview guide are specifically tailored to a semi-structured, theory-driven interview.

This means that you conduct your interview with a particular theory or body of literature in mind. You want to explore a research subject to better understand it, applying a pre-existing perspective.

The key factors here are, first, having a theoretical background for your study, which you can learn about in my tutorial on the theoretical background of a research paper.

Furthermore, you should already be aware that you will be employing a deductive approach to analyze your interviews, meaning you will translate certain dimensions of a theory into categories and assign the content of the interviews to this predefined framework. You can learn all about this type of analysis in other tutorials. In this tutorial, we focus on the data collection and not the analysis.

Okay, so how do you determine the theoretical dimensions?

It’s quite simple. You just have to consult the literature. To illustrate this, let’s look at an example.

An Example of Using a Theory to Develop an Interview Guide

Suppose you want to understand how the identity of a company is formed when it operates exclusively remotely, meaning from home offices or as digital nomads.

To understand this, you turn to, surprise – Organizational Identity Theory. According to Albert & Whetten (1985) and Whetten (2006), this theory consists of three different dimensions:

Ideational dimension (How the organization understands itself collectively) Definitional dimension (Attributes of the organization; differentiation from other organizations) Phenomenological dimension (Actions and discourse in relation to identity) The specific details of each dimension are irrelevant for this example. What’s important is that you now consult the theory and break down each dimension into its constituent elements, as described in the literature.

Build on existing interview guides

Additionally, you should research whether this theory has already been used in previous interview studies in similar contexts. If so, delve into the sources and examine the guides used by other researchers. This can serve as a great reference for your own guide, but make sure to cite the corresponding source.

Develop your own questions

If you can’t find anything suitable, you’re on your own when developing the interview guide. Let’s take the first dimension of the theory as an example: Actions and discourse in relation to identity.

Instead of asking this question directly, you need to read up on how these actions or discourse could manifest. For example:

How does the company describe itself in job advertisements? Are company events designed differently? How do top managers behave in public appearances?

Now you can transform these questions into more pragmatic interview questions. It would also be possible, for example, to create two different guides, one for executives and one for other employees. Here’s an example:

Executive: How would you describe your company in brief profiles on job boards?

Employee: What understanding did you have of the organization before applying?

Executive: What impression of your organization do you want to convey in public appearances?

Employee: In your opinion, what impression do top managers convey in public appearances?

#4 Develop follow-up questions

The semi-structured nature of your guide allows you to formulate sub-questions to further drive the conversation. You shouldn’t interrupt your interviewees and should give them as much freedom as possible. However, if they struggle or don’t understand the question, you can refer to your follow-up questions.

But if the conversation is heading in an interesting direction, ask questions that make sense in that moment. The guide is only semi-structured, meaning you can deviate from it. Sometimes, this is the only way to discover truly exciting things.

For the first question, the following follow-up are suitable:

Executive follow-up: Does the impression of the organization you had at the founding differ from your current understanding, now that you employ X employees?

Employee follow-up: Does the impression of the organization you had back then differ from your current understanding, now that you have been working there for X years?

Or for the second question:

Follow-up (for both): Do you differentiate between social media, press releases, podcasts, TV, etc.?

#5 Testing and Adjusting the Interview Guide

The beauty of a qualitative research design is that you can move back and forth between the data collection and analysis phases. For a detailed understanding of this process, you can refer to tutorials on the topic of hermeneutics.

In essence, after conducting 2-3 interviews, you can transcribe or paraphrase them to reflect on the flow and structure of the conversations and the guide. If adjustments are needed, you can make them at any time.

This iterative process allows your guide to become more coherent with each interview. So, don’t be afraid that an interview was a waste if everything isn’t perfect the first time. Prepare your guide as explained in this video and go out and test it.

The rest will come naturally.

You want to apply Grounded Theory according to Glaser and Strauss (1967) in your academic work?

Very cool!

It will be a challenge, but also a very enriching experience for you.

Grounded Theory is not for the faint of heart, but at the same time, it is the most powerful and interesting of all qualitative research methods.

Today, we will focus on the origin of Grounded Theory, the approach by Glaser and Strauss from 1967, what remains relevant today, and the significance of the major dispute between the two.

After watching the video, you will not only be able to participate in discussions about Grounded Theory, but you will also know whether you should conduct your qualitative study following the recommendations of Glaser & Strauss (1967), Strauss and Corbin (1998), or a completely different author!

Grounded Theory according to Glaser and Strauss (1967)

It all began with a book that made its mark in the history of science. This book is called “The Discovery of Grounded Theory,” published in 1967. The authors, Barney Glaser and Anselm Strauss, were two American sociologists who addressed an important research problem in their work.

The problem was that empirical social science was dominated by the quantitative paradigm. Researchers were trained solely to test the existing major sociological theories of that time.

However, this posed a problem because why assume that these theories could explain everything? Wouldn’t it be more appropriate to develop new theories as well?

In their book, Glaser and Strauss propose a return to qualitative data and systematically derive new sociological theories based on individuals’ behavior.

The book is now over 50 years old and was written in a different temporal context.

So, if you are encountering Grounded Theory for the first time, I recommend starting with a book that translates their ideas into the present-day context.

What are the fundamental ideas from Glaser and Strauss’ book (1967)?

The goal of Grounded Theory is to develop new theory. Researchers should not make any theoretical assumptions when starting their research.

Analysis and conceptualization occur through the process of “constant comparison,” where each segment of data is compared with all existing concepts and constructs to determine if it enriches an existing category (by complementing/improving its attributes), forms a new category, or indicates a new relationship.

New data are selected through the process of “theoretical sampling”, where researchers decide how and where the next sample will be drawn for analytical reasons (Urquhart, 2013).

Surprisingly, the basic principle of Grounded Theory remains the same as conceived by Glaser and Strauss in 1967.

In addition to theory, a Grounded Theory project can also result in a theoretical model or a “rich description.” All three outcomes are accepted in scientific literature and have their own value.

Theory: A theory consists of descriptions, definitions of variables, their relationships, justifications for these relationships, and the theory’s boundaries.

Model: A model consists of definitions of abstract variables and their relationships.

Rich Description: This is the description of empirical observations without abstraction.

Developing a theory is the most challenging, followed by a model, and then the rich description (Wiesche et al., 2017).

Since Glaser and Strauss first described Grounded Theory, a lot has happened.

Nowadays, there are several variations and different opinions on how Grounded Theory should be conducted.

The fact that so many versions of Grounded Theory exist today is mainly related to two individuals: Glaser and Strauss themselves!

The big dispute between Glaser and Strauss

It sounds a bit like a soap opera, but the two authors grew significantly apart over time. This was mainly due to their different ideas about how to conduct the Grounded Theory approach.

In 1978, Glaser published another book alone, introducing new ideas on how to facilitate the inductive development of categories. His interpretation of Grounded Theory was that the process of coding should take place as freely and without pre-defined structure as possible.

In 1990, his old friend Strauss then published a book with Juliet Corbin. Because their students struggled with the open approach from the 1967 book, the two developed quite clear rules on how coding should be done, following open, axial, selective, and processual coding.

This development did not sit well with Glaser, and a dispute over the identity of Grounded Theory according to Glaser & Strauss erupted.

The reason was that the approach according to Strauss and Corbin was easier to implement, but it disregarded the original idea of free, unrestricted coding. Glaser, by the way, recommended only three steps: open, selective, and theoretical coding.

For Glaser, it was essential to abstract from the data and create concepts that could stand independently of the context. On the other hand, Strauss emphasized the need to consider the context and situational factors during the analysis.

Moreover, theory formation could also be less inductive, guided by existing theories and literature. This was, of course, a no-go for Glaser!

In 1998, Strauss and Corbin published a new book, where they came a bit closer to the old idea of Grounded Theory.

However, this did not help to settle the dispute.

Strauss and Corbin

Since then, the literature roughly distinguishes between the Glaserian and Straussian approaches.

The main difference between the two approaches are the coding techniques that are used to analyse the data.

For Glaser, the way to go is to apply open coding, selective coding, and theoretical coding.

Strauss and Corbin (1998), in contrast, recommend to apply open coding, axial coding, and then selective coding.

If you are interested in tutorials about all of these coding techniques, just let me know in the comments and will make a little series of videos about them.

Which Grounded Theory approach is the right one for you?

If you ask me which approach I would recommend, I must unfortunately say:

Neither of them.

Glaser and Strauss are the pioneers of Grounded Theory, and any further development of the method is based on their ideas.

However, there are much better resources available today to learn Grounded Theory from scratch or to understand it for the first time.

I would start with secondary literature. The best methodological book on Grounded Theory that I know of is “Grounded Theory for Qualitative Research: A Practical Guide” by Cathy Urquhart.

This book is perfect for getting started. After that, you can take a look at the old books by Glaser and Strauss for curiosity’s sake.

But the book by Urquhart might not be suitable for citation in your methodology section. The reason is that it is a methodological book that explains the different approaches and provides practical guidance.

However, it does not present its own methodological approach.

When I have used Grounded Theory, I mostly followed the Gioia method. This approach is precisely explained in just one article from 2013 by Dennis Gioia and his co-authors.

However, understanding the paper and the Gioia method requires prior knowledge. You need to be familiar with the fundamental ideas of Grounded Theory, such as constant comparison or theoretical sampling, to apply the Gioia method. You can find my own tutorial on the Gioia method on my channel.

An alternative to Gioia is the book “Constructing Grounded Theory: A Practical Guide through Qualitative Analysis” by Kathy Charmaz, published in 2006.

You can find all the references under this video in the description.

You are new to academic writing and are unsure how to cite references in a research paper?

Then you’ve come to the right place because in this article, you’ll find all the answers.

In this video, I’ll give you an overview of 4 different types of citations that you can use in your research paper and how to do it.

After this video you have everything you need to know about how to cite references in a research paper and can start your writing journey!

How to Cite References in a Research Paper

Citing correctly is not difficult, in case you think it is. The rules and conventions that come with specific citation styles are just a simple technique that requires a bit of diligence and practice.

But after you have done it once, it becomes very easy.

You don’t need to be afraid of making citation errors in first research paper because if you follow the guidelines of the required citation style, you can’t go wrong.

Additionally, there are plenty of useful tools that can take care of citations for you. My general recommendation is to cite by hand until you understand what you are doing and then introduce a software to get rid of a lot of repetitive work and save lots of time.

Now, if you’re sitting in front of your term paper and want to incorporate your gathered text snippets into the work, you should definitely answer the following questions:

Which citation style is requested for your research paper?

Sometimes you can answer this question yourself by searching for the regulations for academic papers on the homepage of your school or department. There, you will not only find the desired citation style but also formal requirements for research papers that are assignments for your class.

If you are looking to publish a paper in an academic journal or in conference proceedings, the website of the the publication outlet or the research paper template will tell you what citation style they request.

But back to the situation in which you prepare a research paper as an assignment. If you can’t find the information online, you should definitely clarify with your advisor or lecturer which citation style you can agree on for your term paper or thesis. This question should not be missed in the first meeting.

If you choose a citation style that your advisor or instructor doesn’t like or know, it can lead to unpleasant surprises in the evaluation.

What are the most prominent citation styles?

Different research disciplines have certain commonly used and respected citation styles. It would be tedious to argue which one is the best. Each discipline has its own requirements. Therefore, it is essential that you choose the citation style that is most desired in your discipline.

In the humanities, Chicago style, which uses footnotes, is often used. Social sciences tend to favour the APA style. Business administration students have their own preferences and like the Harvard citation style. But this is not a general rule.

The most obvious difference is whether to place references directly in the text (APA, Harvard) or in footnotes below the text (Chicago). Additionally, in-text citations are sometimes represented as numbers (IEEE). This is a preferred style in computer science and engineering.

Where can I find a guide for my citation style?

If your department has a well-organized online presence, you will find a guide for the corresponding citation styles there. If not, I have linked the most important guides for you below this video:

APA (American Psychological Association): https://apastyle.apa.org (requires payment, but you can access it in your library)

Chicago: Chicago Manual of Style Quick Guide

Harvard: Harvard Guide on CiteThisForMe

It’s best to download and print the appropriate guide if you are using it for the first time.

From now on, always stick to the guide.

Identify the type of source (book, journal article, anthology, etc.) and look for the corresponding entry in the guide. This is important, because each type appears differently in the reference list.

Proceed in this manner until you have properly cited all your references. After citing a journal article multiple times, you’ll eventually memorize the details and won’t need to look them up anymore.

At this point you are ready to introduce a literature management software like Zotero, Mendeley, or EndNote.

Just do it. It’s worth it.

How can I incorporate my citations into the text?

Now let’s talk about the different ways you can integrate citations into your text. If you’ve already written an academic paper before, at least two of these methods should sound familiar to you. If one of them is new to you – great! It will bring more variety to your next paper.

The secret to proper citation lies in finding a balanced mix of different methods. If you use the same technique to incorporate sources into your text every time, it won’t create any surprise.

However, if you occasionally insert a quote that spans more than 3 lines, for example, it not only adds visual appeal to your text but also allows you to emphasize important insights from your literature review.

So, what are the 3 types of citations?

Direct Quote #1

This type of referencing is probably the most popular way to include a quote. You literally reproduce a passage from your source and smoothly integrate it into the text. If you can’t find a suitable transition, you can use a colon:

The concept can be defined as the “perception of an unpredictable event that threatens important expectancies of stakeholders and can seriously impact an organization’s performance and generate negative outcomes” (Coombs, 2007, p.2).

(Caution! The examples are cited according to APA guidelines. Source references may differ for other citation styles.)

If your direct quotes exceed 3 complete lines of your text, you should indent them. This not only enhances readability but also serves as a nice design element for your text, providing variety.

However, be careful not to overdo it, as too many of these long quotes may make your instructor doubt your ability to express complex passages in your own words.

This approach makes the most sense when there is no better formulation than the original text, such as with definitions.

Furthermore, the passage should be particularly noteworthy, as you are (necessarily) highlighting it visually.

Indirect Quote/Paraphrasing #2

This method is probably the most commonly used technique to incorporate external content into your own term paper. Direct quotes are nice, but they can interrupt the flow of reading.

Academic papers refer (ideally) to so many external sources that it would be impossible to directly quote them all. Moreover, by using indirect quoting, you can cite more than one source for a sentence or paragraph you have written.

This emphasizes that you have engaged with the literature.

Additionally, it can be helpful to present multiple sources as “evidence” behind a statement, especially when you want to emphasize that the majority of authors agree on a certain matter and there is a consensus (which is beneficial for supporting the arguments in your work with other authors’ statements).

An indirect quote is always expressed in your own words.

This is also known as paraphrasing. So, it’s just a fancy word for rephrasing.

It is extremely important not to copy content word for word, otherwise, you might attract the attention of the plagiarism police.

But don’t panic, as long as you consistently cite your sources and use your own words, you don’t need to worry about plagiarism accusations.

Some instructors are just happy when sources are mentioned at all.

And various internet services fuel panic to sell their magical plagiarism-checking software.

Such nonsense.

Here’s an example of an indirect quote:

If you’re using a citation style with footnotes, instead of using parentheses with the authors’ names, you simply place multiple footnotes one after another at the end of the sentence. The same principle applies.

Adding “cf.” to References #3

Sometimes, references are used as stylistic devices to refer to further literature or similar ideas.

Such a reference makes sense when you want to draw attention to similar or contrasting results from other literature. In the reference, you simply include “cf.” (short for “compare” in latin).

Now, let’s move on to the last possibility of how how to cite references in a research paper.

Quoting within a Quote #4

Now we’re entering full inception mode. It may happen that you want to quote a quote that is cited in another source. Instead of “stealing” the quote, you indicate the source from which you took it.

Of course, you can also research the original source and cite the passage as usual. However, it can happen that you don’t have access to it or the source is untraceable.

It’s also not a problem if you take the quote from another source. On the contrary, it adds more variety to your text. However, you should not overdo it and repeat this approach too often.

The best option is always to find and cite the original source.

It is particularly important not to distort the quote. To cite it correctly, don’t swap words or take the original quote out of context. If possible, try to find the original source.

How are sources listed in the bibliography?

Again, turn to the appropriate style guide for your citation style.

Journal articles, books, or internet sources are all treated differently in the bibliography.

To properly cite the references in your bibliography, grab your style guide or use your literature management software (it does it automatically…) and off you go on the wild ride.

There’s nothing more enjoyable than searching through your bibliography for missing punctuation or page numbers after hours of writing at 11:30 pm.

Believe me, I’ve been there, done that. I won’t do it again.

Conclusion

Those were the 4 different ways on how to cite references in a research paper and now you can incorporate quotes into your academic work.

• Direct Quotes: Reproduce the exact wording in quotation marks.
• Indirect Quotes: Paraphrase the thoughts of other authors.
• “cf.” References: Refer to supporting or conflicting literature.
• Citing a Quote from a Quote: When the original source is untraceable.

I hope you were able to take something new from it and enrich your work with it.

When it comes to qualitative research, everyone always talks about coding, codes, categories, and themes. But what does this actually mean? This article will give you an introduction into coding qualitative data for categories and themes and help you understand these terms.

I will show you:

• the basic principle of coding qualitative data (Part 1)
• what a code or category is (Part 2)
• how to derive your first codes from qualitative data (Part 3)
• the different types of coding that exist (Part 4)

After reading this article, you will be well-prepared for your own qualitative research project. You can directly dive into qualitative content analysis, grounded theory, or any other qualitative method.

#1 What is Coding?

Coding refers to the process of assigning conceptual labels to data (Urquhart 2013). It primarily applies to qualitative data, such as text, images, videos, or audio.

For the sake of simplicity, let’s assume in this video that your data was collected through interviews and now exists in the form of interview transcripts.

When you assign a specific label to a specific set of data, you begin to analyze that data. A set of data could be, for example, a response to an interview question or even a random individual line in your transcript. Let´s continue with the introduction of coding qualitative data for categories and themes.

Why is Coding Useful?

Coding can help you summarize larger amounts of data. For example, imagine you conducted 20 interviews, resulting in a total of 200 pages of transcripts.

How can you compress the content of this data into a single results section of a scientific paper? That’s right – by summarizing it. In this case, various coding techniques offer a tool to do this systematically and comprehensibly.

However, coding not only allows you to summarize data but also to structure it. Structure can mean that your data is assigned to specific categories. These categories give meaning to the data. You’ll learn more about this in the second part of the tutorial.

Coding for Theory Building in Qualitative Research

New Constructs

However, coding in qualitative research can go much further than summarizing and structuring. Coding is actually one of the most important tools for developing new theories.

This brings us to the realm of Grounded Theory. You can find more information on that in other tutorials of mine. In addition to watching tutorials on Grounded Theory, I recommend watching the video on “What is a Theory?”

In summary, Grounded Theory is a methodology, not just a method. This means that you can combine different coding techniques to reach your goal: new theory.

This new theory consists of constructs and their relationships to each other. The necessary intermediate step to reach these components from qualitative data is coding.

The specific coding techniques employed and how they are combined depend on the recommendations or authors chosen for your own Grounded Theory study.

New Relationships

In the further course of a Grounded Theory study, determining the relationships between constructs that came out of your initial codes becomes important.

Here, some coding techniques are not only limited to transforming codes into concepts and constructs but also explaining a relationship or process. You can find more information on this in other tutorials, for example on what is referred to as axial coding.

#2 What is a Code or Category?

Simply put, a code is just a label we assign to a specific part of our data. A category is like a bucket in which you collect the codes that fit together.

In general, there is a distinction between descriptive and analytical codes.

Descriptive codes can, for example, adopt certain things such as signal words from the data. In this case, we use the language that appears in the data itself.

However, in most cases, it is better to move away from that quickly and choose your own words for the codes (Urquhart, 2013).

Analytical codes go beyond mere description and offer an interpretation of the data. This is ultimately what we aim for in almost every qualitative method.

The codes can have different levels of abstraction. The lower the level of abstraction, the more descriptive the codes. The higher the level of abstraction, the more analytical the codes.

The different levels of abstraction contribute to creating a kind of hierarchy between the codes. This is also referred to as a category system or data structure.

A category system could consist of a handful of main categories and about two or three times as many subcategories.

A data structure usually consists of first-order themes, second-order themes, and aggregate dimensions. Themes and dimensions are just fancy words for more developed and abstracted codes.

As you can see, the terminology for certain codes and their structures can vary depending on the method and authors. Always adopt the terminology from the methodological guide you are working with.

#3 An Example from an Interview Transcript

Let’s take a look at a simple example of the most basic form of coding, which is open coding.

For a study, I conducted interviews with companies that organize themselves remotely since their inception. Here is a response from an expert in an interview transcript:

“The process usually looks like this: Three people who are specifically interested in it make a proposal, and then it is informally voted on in Slack or during a meeting whether the proposal is good or not.

And it was the same with the rules. Three people who already had experience with such rules from other contexts worked it out in a Google document, and then it ended up in Slack. Different people added comments to the Google document about what they thought of each sentence. This went back and forth for about a week. And in the end, there was a draft that everyone liked, and that was it.”

With open coding, I can assign a code to each line or sentence. I would assign the code “Forming an Interest Group” to the sentence “The process usually looks like this: Three people who are specifically interested in it.”

The section “And in the end, there was a draft that everyone liked, and that was it” could be given the code “Collective Satisfaction.”

These two codes are at a very low level of abstraction because they are assigned to only one sentence or line each. They are also very descriptive and describe what was said.

To arrive at an analytical code, we can now summarize or interpret the codes assigned to each line. For the given response, this could lead to the code “Consensus Building.” This code interprets the data and summarizes in one word what the response was essentially about.

However, an analytical code does not necessarily have to consist of only a single word.

#4 What are different types of coding in qualitative research?

The examples of coding qualitative data for categories and themes we have looked at are typical for (1) inductive coding. This type of coding is primarily used in thematic analysis and, of course, grounded theory.

The process of inductive category development is bottom-up, meaning it goes from the data to the code.

In addition, there is also (2) deductive coding. This is characteristic of structured content analysis or quantitative content analysis. Here, based on existing theory, you establish a category system into which you simply sort your data.

The process of deductive category application is top-down, meaning it goes from theory to data.

However, there is often a grey area between the two. For simplicity, I call this (3) abductive coding. This means that the process of coding happens in a continuous interplay between theory and data. Abduction can encompass more than that, but for now, you don’t need to remember more. Some approaches in grounded theory embrace this approach in their recommendations. Just be careful not to mix recommendations from different authors too much.

And lastly, there is (4) thematic coding, as described by Braun and Clarke (2006). The difference from the other types is that broader codes (themes) are used to interpret larger chunks of data. It is less incremental than the other techniques.

You have an unwritten manuscript in front of you and just don’t know how to get writing motivation to get going?

If this is what you struggle with, you’re in the right place.

I will reveal to you how you can truly motivate yourself to write your paper, essay or book – and I mean really motivate yourself.

The pages will practically fill themselves, I promise. 😉

In this article, I will give you simple methods to help you get started with your writing and make the rest a breeze. For this purpose, I have 4 simple and effective ideas for you to skyrocket your motivation for writing.

At the end of the video, I will share with you a psychological trick that will change everything. With this trick, you will be able to effectively motivate yourself for every upcoming writing task. So be sure to stick around until the end, so you can start your research paper with unlimited motivation RIGHT NOW.

The first sentence is always the hardest.

This is true not only for a novel, an application, or a love letter but also for an academic paper.

I will use the case of writing an academic paper as an example, but if you need to write something else, the principles are exactly the same!

Your apartment is clean, hunger and the need to use the restroom won’t be an issue for the next 60 minutes, and even your friends are unreachable because it’s early Monday morning. Your laptop sits arrogantly on your desk, waiting for you to fill it with your wisdom.

There really is nothing else to do except your academic paper.

The calendar on your smartphone reminds you that the deadline is getting closer and closer. You have to start now, or else you’ll be in trouble. Starting tomorrow is not an option. But how should you even begin? The topic is boring, 20 pages are just too much, and besides, the latest episode of your favorite series has been waiting in the Netflix pipeline for two days already.

The thought of spending the next hours and days on something that really annoys you creates an unpleasant feeling, and you feel the urge to procrastinate the hell out of this damn paper.

How can you motivate yourself right now so that you can finally get the work done?

Idea 1: Stick to Your Routine

Do you usually go to the gym or engage in other hobbies during the week? Do you meet up with friends on weekends? Make sure to keep these commitments with yourself and others. If you eliminate the moments you look forward to from your daily routine, your motivation will further decrease.

The day has 24 hours, and you’re probably awake for about 16 of them. Can anyone maintain focused work for a continuous 16 hours?

Certainly not me.

So, make an appointment with yourself. Set a specific time for working on your research paper. And I mean ONLY for your research paper.

Banish your smartphone and all other sources of distraction so that you can truly use your time effectively. Once the allocated time is up and you’ve achieved your daily goal, it’s time for yourself.

At this point, it is OK to banish the academic paper from your mind.

To learn how to work without distractions, I highly recommend Cal Newport’s fantastic book “Deep Work”. It might happen that this book will change your life.

It did for me.

Idea 2: Consider Your Biorhythm

No joke: We humans are either morning larks or night owls. Some people prefer to wake up early (larks), while others love the late hours of the day (night owls).

It’s scientifically supported. And your type also affects your working behavior.

If you’re not a morning person and struggle to concentrate in the morning, why should you torture yourself during those hours? Listen to your body and write your paper at a time when you can concentrate the best.

For example, I am a true night owl. I have never seen the inside of a university before 9 a.m. (phew!).

All my research papers were written during the evening hours. Even if I start at 5 p.m., I have effectively worked for a full 7 hours until midnight!

However, if you are not a night owl, this strategy might not work for you. Keep in mind that willpower decreases throughout the day so the earlier you schedule your working hours, the better.

In either case, you should never neglect your sleep. Typically, 7-8 hours of sleep will leave you feeling refreshed. Less is not recommended.

Idea 3: Set Short-Term Goals

Divide your research paper into work packages that create milestones.

Estimate approximately what you should achieve each day so that you can complete your paper with a steady amount of work.

You can set your milestones based on tasks, such as literature research, writing the introduction, and so on, or even based on the amount of text you’ve produced towards the end of your paper.

For me, the rule of “1 page per day” has always worked very well. This way, I didn’t have to sacrifice my entire day for the paper and still made significant progress.

If you’re now thinking, “Wow, one page per day? That’s nothing. I can easily write 5 pages if I really push myself.” Great! Go ahead.

There are in fact two types of writers out there. Type 1 is the perfectionist who needs every sentence to be perfect the first time.

And then there is type 2, who just writes a lot now and edits everything later. Try to find out which type you are and set you daily writing goals accordingly.

If you’ve set short-term goals for yourself and you achieve them, something important happens:

You become more confident because your mind appeals to logic. If you reach your mini-goal for writing your paper every day, it will be completed after reaching the final goal.

There’s no way around it.

One important thing to consider here is to build in a buffer. Leave several days between the last milestone and the deadline. This way, the chances of not finishing on time or feeling rushed approach zero.

It can happen that you’re unable to reach a daily goal. It could be Grandma’s birthday or a surprise celebration for your local sports team’s championship. For such special occasions, you have the buffer.

That way, you won’t have any pressure weighing you down.

Idea 4: Visualize Your Long-Term Success

When the task of writing your paper hangs over your well-being like a sword of Damocles, one thing becomes particularly difficult: visualizing why you’re doing all of this in the first place.

Questions arise, such as:

• How will this ever benefit me in my (professional) career?
• What is the purpose of delving into such a topic with pages of discussion?

The answer is complex.

At this point, however, let’s focus on how you can increase your motivation.

To begin with, you should be satisfied with the following answer: A research paper simulates being a researcher, and doing research is a fundamental requirement for a successful academic degree. And you have set this as your goal.

Now proceed as follows:

Visualize your long-term goals that writing this particular paper will enable you to achieve. The paper is just a small step towards those goals, but in this moment, that small step is the most important.

• What do you want to achieve in your studies?
• Do you want to attain a specific grade average to work in your dream profession?
• Or do you want to complete your studies to earn a monthly salary that can fulfill all your material desires?
• Are you perhaps searching for your strengths and weaknesses and want to further develop your skills and intellect?

The attainment of all these goals is connected to this one research paper.

So, get yourself in the mood with your favorite music or a well-prepared coffee, sit down at your laptop, and pour your ideas and arguments onto the keyboard.

Let’s get started!

Bonus Idea: A Psychological Trick

As promised at the beginning of the video, I have a bonus idea for you on how to get writing motivation.

It involves a scientifically supported trick that is almost guaranteed to work.

To do this, we delve into the field of social psychology and explore the conditioning of behaviors. What does it mean to condition oneself or someone else to a specific action?

Quite simply, it involves associating a recurring action or specific behavior with a reward. You already know how effective this can be if you have a dog or have observed sea lions performing tricks at the zoo.

As trivial as it may sound, our human brain can also be conditioned in the same way.

So, what do we need to do?

In order to condition yourself for writing your paper, you need a reward.

Choose a reward that brings genuine happiness to you. For example, a large piece of chocolate, a FIFA match on the PlayStation, or a video from your favorite YouTuber.

Whatever it is, it should be truly enjoyable. But be careful – too much chocolate can be dangerous…

Now, take the short-term goals you already know from Idea #3 and divide them into smaller units. This way, you’ll have about 3-5 sub-goals per day. For simplicity, these mini-milestones could also be measured in hours.

Next, simply place the small rewards along your goals. For example, have a piece of chocolate every hour or play one game on the PlayStation every two hours.

What will happen is this: Your brain will associate the activity (writing your paper) with a positive experience. When you consistently reward this activity, your resistance to motivate yourself will decrease.

If you apply this procedure for a few days, you will have developed a habit. It will become effortless for you to sit down and work on your paper because your brain is now programmed to anticipate the reward.

Once you reach this point, the question of motivation for your paper will no longer arise.

You will simply do it.

Now you know how to get writing motivation and can start writing your paper. There are no more excuses.

Start now, RIGHT AWAY 🙂

In this article, I will introduce you to 7 free AI tools for students that will take you to the next level.

This article is for you if you want to make the most out of your studies and learn more effectively. Whether you’re currently preparing for exams or refining your term paper, these AI tools will revolutionize your study routine.

ChatGPT is not on the list – I am sure you know enough about it already.

#1 Otter.ai

Otter.ai revolutionizes your note-taking during lectures and is a true game-changer for your studies.

Do you know that feeling?

The professor talks too fast, jumps from one topic to another, and you’re trying to frantically take notes.

Or maybe you were at a sports party yesterday and now you’re sitting in the 8 a.m. lecture feeling groggy. Even the best coffee can’t help you keep up with your professor’s speech. In such moments, simply take out your laptop and open Otter.ai.

With this tool, you can transcribe your lectures in real-time and have your personal AI note assistant by your side during the lecture.

Thanks to this tool, you can now fully concentrate on the lecture because you know that a detailed transcription with all the important information will be available to you later.

From my own experience, I know how exhausting it can be to struggle with note-taking and barely have the opportunity to think and ask questions during the lecture.

From now on, you can focus on understanding and absorbing the content instead of worrying about every single word. Additionally, you can upload and transcribe recorded lectures as MP3 files.

This feature is extremely useful if you want to listen to a lecture again or share it with others. Of course, you can also use Otter.ai outside of lectures, for example, for interviews or to capture your thoughts.

So, if a brilliant idea strikes you while traveling on a train, you can simply record your thoughts with your phone and transcribe them later effortlessly and without much time investment using Otter.ai.

#2 QuillBot

The next tool goes hand in hand with Otter.ai. Now that you have the lectures in text format, but the professor has once again beaten around the bush for too long.

No problem!

With QuillBot, you can quickly filter out and summarize the key points of the lecture. This saves time and helps you reduce a wealth of information to the essential aspects.

You can determine the desired length of the summary yourself. Whether you want to get a rough overview first or dive directly into the content, QuillBot allows you to create really good notes in no time, which would otherwise require significant manual effort.

However, please note: If you are a visual learner, it is often helpful to “old school” take notes during the lecture. The act of writing serves as visualization and aids in processing the information.

Even when working on a term paper, QuillBot can be a great help to you. Have you already spent countless hours paraphrasing? But now you’re stuck and starting to face writer’s block?

Don’t worry!

Simply copy your text into the tool, and like magic, QuillBot will paraphrase the text for you. It’s a real relief for the writing process and helps you progress with your term paper.

#3 Speechify

Are you an auditory learner? Then listen up, because Speechify.com is the perfect tool for you. With an AI-generated voice, it reads texts aloud for you.

By hearing the text, you, as an auditory learner, can improve your learning outcomes and deepen your understanding.

This is especially useful when you have a lengthy textbook or script that you need to go through and want to save time. Simply upload the text to Speechify, and the program will read it aloud to you.

Sure, there are audiobooks available nowadays, but I find this tool particularly ideal for scripts or even academic papers.

You can use it while jogging, cooking, or even when commuting on a train. This way, you can effectively utilize your study time while engaging in other activities without being tied to your desk.

#4 Writefull

Surely you’ve heard of Grammarly, right? This program corrects and improves your text. However, there is a tool that is even better suited for academic purposes: Writefull. While Grammarly is more suitable for informal texts like emails, Writefull is great for correcting and elevating your next academic paper. Unnecessary spelling and grammar errors will be a thing of the past.

But that’s not all – with this tool, you can also expand your vocabulary. It suggests synonyms and alternative expressions for specific words and phrases. This makes your writing more diverse and appealing to the reviewer (who gives you your grade).

With the free version of Writefull, you can install the plugin directly in Word and edit your texts there. Just start writing and let Writefull check the spelling, grammar, and stylistic aspects.

It’s a convenient solution to improve your term papers while saving time.

So, what are you waiting for?

#5 Elicit

Currently, there is no escaping the media coverage of ChatGPT, and it impresses particularly with its extensive writing capabilities.

However, if you’re not an expert in the field, it’s difficult to assess the quality of the answer. The reason for this is that ChatGPT does not provide source citations, leaving it unclear where ChatGPT obtains the information for its answers.

For your term paper, this tool is therefore less suitable as you must work with proper sources.

So why not use a tool specifically developed for academic purposes – Elicit?

This tool accesses databases from Semantic Scholar (similar to, but better than Google Scholar) and provides you with answers and citations from real scientific papers.

It not only searches for the question you input but also related terms. Once you have found the relevant scientific papers for your term paper, Elicit also summarizes the key findings of the study for you.

With this tool, you save valuable time as you no longer have to painstakingly search through all the academic journals or spend hours on Google Scholar.

#6 Duolingo (Max)

In many academic disciplines, you’ll immensely benefit from a semester abroad.

But you do not speak another language?

Don’t panic! It’s best to start preparing for it and improving your language skills as early as your first semester.

To get into the flow, one option is to use Duolingo (I personally used it to learn Spanish).

The app uses AI to personalize your learning experience. In the free version, the learning content is delivered in a playful manner, with a motivating system of levels and points.

Particularly exciting is the Duolingo Max version, developed in collaboration with OpenAI. Here, the chatbot acts as your conversation partner, engaging in interactive chats that simulate real conversations. Unfortunately, Duolingo Max is not yet available in Germany, but the concept is promising.

As you engage in dialogue with the chatbot, you gradually develop your language skills and expand your vocabulary.

#7 Wisdolia (+Anki)

Flashcards have been around for decades, and it’s no surprise that they have now entered the digital age. Instead of manually creating cards, you can rely on AI with Wisdolia.

This Google Chrome browser plugin allows you to create flashcards effectively.

Whether you’re reading an article online, watching a YouTube video, or going through a paper, with just a few clicks, you can save the most important information and access it anytime.

But that’s not all – you also have the option to save the flashcards in Anki. This way, you can benefit from Anki’s spaced repetition system, combat the forgetting curve, and retain the information in the long term.

By reviewing the content at the right time, you will internalize it effectively. With Wisdolia and Anki, you have the perfect combination to make the most out of your study sessions.

Now you know the best free AI tools for students and can take your studies to the next level.