Most literature reviews do not need ethics approval, but UNISA requires clearance for literature review studies and St Andrews does not. Six university policies compared, plus what to write in your methods section.
Elicit finds and screens papers, and its own documentation says the output is tables and structured comparisons, not prose. What Consensus, Scite, Research Rabbit and Litrevu each cover instead, from someone who builds one of them.
A literature review is four different jobs and no AI tool does all four well. What Elicit, Scite, Consensus, Research Rabbit and Litrevu each do best, and the one number that matters most: how often a general chatbot invents its citations.
Re-run your original search from the date of your last search, screen only what is new, and fold in the studies that change the argument. The five step method, the retraction check most people skip, and when to start over instead.
Grey literature is research published outside journals: reports, theses, preprints. Where to find it, how to appraise it with the AACODS checklist, and how to cite it.
Snowballing means following citations backward and forward from papers you already have. How to do both directions, which free tools do it, the bias it introduces, and how to report it.
Screen 500 abstracts with a title-and-abstract pass against written criteria, a screening tool like Rayyan or Covidence, and a second reader on a sample. The two-pass method, timing, and the counts you have to report.
How to pull structured data out of every study into an extraction table. What extraction and charting mean, which fields the table needs, how quantitative and qualitative studies differ, a worked row, and how the table becomes your chapter.
How to judge whether a study you included is actually sound. What critical appraisal is, which tool fits which study design, a worked CASP walk-through on one paper, how to record it in your matrix, and how it changes what you write.
How to check if a paper in your reference list has been retracted. The five-minute check on one paper, how to scan a whole bibliography, Zotero retraction alerts, and what to do when you find one.
How to build a PRISMA flow diagram for a systematic or scoping review. The four stages, the numbers each box needs, a recording habit that captures them while you screen, a worked example where the arithmetic adds up, how to report exclusion reasons, and what to do if you already lost the counts.
How to build a search strategy for a literature review. Break your question into concept blocks, write synonym lists, combine them with Boolean operators, pilot the string against papers you already know, translate it across databases, and report it properly.
How to write inclusion and exclusion criteria for a literature review or systematic review. The six dimensions to build them on, a six-step process, a weak vs strong worked example, wording you can copy, and how to screen without losing the paper trail.
The difference between a scoping review, a systematic review, and a narrative literature review. What question each one answers, a side by side comparison, a five-question decision path, one topic written three ways, and how to check what your supervisor wants.
How to organise a literature review by theme instead of source by source. How to find your themes, a 6-step process, a worked before and after example, how many themes to use, and the mistakes to avoid.
How to write a conceptual framework for your thesis or dissertation. What it is, how it differs from a theoretical framework, a 5-step method, a worked example, a diagram, and the mistakes to avoid.
How to write a research rationale, step by step. What it is, how it differs from a problem statement, a simple structure, a fill-in template, and weak vs strong examples.
What a Turnitin similarity score really measures, why there is no universal safe percentage, and how to fix high matches honestly before you submit in 2026.
How to write research aims and objectives, step by step. What each one is, how they differ, a formula for both, worked examples, and the mistakes to avoid.
How to write a problem statement, step by step. What it is, where it goes, a four-part formula, a fill-in template, and weak vs strong examples compared.
How to write an annotated bibliography, entry by entry. The two parts of every entry, what belongs in the annotation, APA and MLA examples, and a weak vs strong version compared.
Zotero, Mendeley, and EndNote compared for students in 2026. Cost, storage, citation styles, collaboration, and which one actually fits your degree.
How to write a theoretical framework for your thesis or dissertation. What it is, how it differs from a conceptual framework, a 5-step method, a worked example, and the mistakes to avoid.
How to put a source in your own words and stay honest. Paraphrasing vs patchwriting, a 5-step method, worked before and after examples, and why every paraphrase still needs a citation.
How to find a research gap for your thesis or paper. The main types of gaps, how to mine limitations and future work sections, a synthesis matrix, and weak vs strong examples.
How to write a strong research question for your thesis or paper. The FINER test, PICO and PEO frameworks, weak vs strong examples, and the mistakes to avoid.
Falsely accused of using AI, or worried you could be? Build a paper trail with version history, a research trail, and clear AI disclosure, and know what to do if you're accused.
How to cite ChatGPT and other AI tools in APA, MLA, and Harvard, with in-text examples for each. Plus what an AI citation can and cannot do for your paper.
Synthesis is the skill that separates a real literature review from a list of summaries. The difference explained, a synthesis matrix you can copy, a paragraph formula, and a worked before-and-after example.
Fake AI-generated citations are rising fast. Learn the five-minute checks that catch hallucinated references before your marker does, with real 2026 examples.
How to write an AI-use disclosure statement for your 2026 assignment. What to declare, an APA acknowledgement format, copy-paste examples, and common mistakes.
A realistic plan for writing your Masters literature review around a full-time job. How to use small pockets of time, organise your reading, and keep momentum without burning out.
A practical literature review guide for UNISA postgraduate students. How to study at a distance, work with limited supervisor contact, and build a cited review around a job and family.
The reliable way to pay from Kenya is the M-Pesa GlobalPay virtual Visa card. An international Visa or Mastercard works too. Prices show in Kenyan Shillings automatically.
The complete guide to writing a literature review for your thesis, dissertation, or research paper. Includes structure, examples, and common mistakes.
The 6-step process for going from blank page to working outline. Pick a topic, form a question, scan the literature, and start writing.
What makes a strong thesis statement, a proven formula you can use, and 5 weak-to-strong rewrites you can steal for your own paper.
The 8 sections every research paper needs, what each one does, how they connect, and word count guidelines for each.
The 7 key sections of a research proposal, common mistakes, and a copy-paste template outline you can fill in.
Step-by-step guide to writing a research paper introduction. Covers the 5 essential components, the inverted triangle structure, and common mistakes.
Everything you need to write a methodology section your supervisor will approve. Research design, data collection, analysis, ethics, templates, and common mistakes.
How to interpret your findings, compare with existing literature, discuss implications, and present limitations. The complete guide for students.
How to present your findings objectively, use tables and figures effectively, report statistical results, and structure your results section for clarity.
The 4 essential components of a strong conclusion, what NOT to include, and a step-by-step process for synthesizing your findings into a powerful ending.
The 5 essential components of an abstract, when to write it, word count guidelines, and the one-sentence-per-section method that makes it easy.
How to cite sources in APA format (7th edition). Covers in-text citations, reference lists, journal articles, books, and websites.
How to use Harvard referencing (author-date system). In-text citations, reference list format, examples for every source type, and Harvard vs APA compared.
APA, MLA, Chicago, Harvard, Vancouver, and IEEE citation styles compared side by side. Quick reference with examples for each.
A real literature review example with annotations explaining why each section works. Use it as a template for your own paper.
A clear breakdown of the differences between a literature review and a systematic review. When to use each, and how they're structured.
The step-by-step process for turning a pile of PDFs into a structured, cited literature review. Covers source matrices, thematic synthesis, and time-saving tools.
An honest breakdown of what AI can and can't do for your literature review. The hallucination problem, how RAG tools work, and how to use AI responsibly.
Over 50 universities have disabled AI detection tools like Turnitin. Stanford found 61% of human-written essays by non-native speakers get flagged. Here's what's replacing it.
The most frequent mistakes students make in literature reviews: from summarizing instead of synthesizing to missing key sources. Learn what to avoid and how to fix each one.
Where to find credible academic sources, how to evaluate them, and how to build a strong reference list. Covers Google Scholar, databases, and search strategies.
Literature review length guidelines for undergraduate, Masters, and PhD papers. Includes word count ranges, number of sources, and how to know when you have enough.
A clear comparison of literature reviews and essays. How they differ in purpose, structure, sources, and writing style, with examples of each.
Practical strategies for organizing research papers, notes, and citations. Covers source matrices, reference managers, and folder systems that actually work.