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  • Literature review workbook: blank sheets and exampleXLSX · 10 KB
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  • Blank evidence matrixCSV · 456 bytes
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  • Selected-study exampleCSV · 5 KB
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Open a blank file for your own work. Keep examples separate from your evidence and follow the instructions below.

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Elicit: source papers and notes illustrating evidence extraction & literature reviews
An editorial illustration of the workflow.

Use the matrix for a question you can state

A literature review matrix is a structured reading record. Each row preserves one source; columns hold the information needed for your review question. A synthesis matrix changes the view: it organizes themes across sources so you can inspect agreements, differences and missing information. Neither spreadsheet supplies the argument for you.

The Excel workbook contains a blank evidence sheet, a theme-oriented synthesis sheet and a selected-study example. The CSV files provide the blank evidence columns or example rows separately. CSV is plain data: it does not retain the workbook’s formatting or additional sheets. Open the version that fits your workflow and keep an unchanged blank copy.

Start by writing the question at the top of your notes. Add sources you have screened for relevance, not every search result. This template is a general reading aid, not a systematic-review protocol or proof of a comprehensive search. Follow the methods and reporting requirements of your assignment or discipline.

Supporting reading: [1]

Choose columns that keep the evidence recoverable

Record a stable source ID, reference and link, then separate design and context from the measured outcome. Retain a page, section or table locator for important findings. Use a distinct field for your interpretation so it cannot be mistaken for a statement made by the author.

Adapt the fields to the source. An experiment may need its comparison condition and assessment delay; an argument in a humanities review may need its central claim, interpretive approach and textual evidence. Mark not applicable when a field does not fit. Use not checked when you have not inspected it, rather than entering a confident guess.

Avoid a single universal credibility score. A relevant source can still have a limitation that matters to your question. State that limitation in words and retain the passage supporting your assessment. An empty cell is a prompt to investigate, not automatic evidence of a research gap.

A worked example: three selected retrieval-practice studies

Scroll the table sideways to view all columns.

Selected real studies: a comparison example, not a systematic review
SourceDesign and contextOutcome and timingFinding and boundary
S1 · Wiklund-Hörnqvist et al. (2014)Repeated testing with feedback versus rereading of course concepts. [2]Key-concept answers after five minutes, about 18 days and five weeks.Testing with feedback performed better at the measured delays; the design does not isolate feedback from retrieval.
S2 · Endres & Renkl (2015)Free recall, short-answer practice and restudy across psychology texts. [3]Free recall and short-answer performance after one week.The retrieval conditions together exceeded restudy, without a significant overall difference between those two retrieval formats.
S3 · Greving & Richter (2018)Lecture review using short answers or multiple choice without feedback, compared with summary restudy. [4]Course-content tests at 1, 12 and 23 weeks after the last lecture.Short-answer benefit depended on high retrievability; a multiple-choice benefit was not detected. This is not a universal finding about all multiple-choice questions.

These are real published studies chosen to illustrate comparison. They are not an exhaustive literature search, a pooled effect estimate or tests of an AI study service. Our example asks how retrieval format, feedback and assessment timing differ. The downloadable rows include full references and section or table locators.

Keep sample descriptions scoped to the relevant stage. In S3, the participants section reports 137 attendees, while the Table 2 models use samples of 92 or 91. In S1, 63 students returned for the five-week test. A single unqualified sample number would hide those distinctions. The example records them rather than treating every participant as a completer.

Supporting reading: [2] [3] [4]

Compare the conditions before combining conclusions

Move from source rows to themes. For this example, useful themes include feedback, retrieval format, practice opportunities and assessment timing. S1 includes feedback, while S3 deliberately omits it. Their difference is not a randomized head-to-head test between the two publications, so it cannot establish that feedback alone explains the results.

S2 compares free recall with short-answer practice. S3 examines short answers and multiple choice. Those contrasts are different, so their findings should not be forced into a direct contradiction. Write down what can be compared and where the conditions prevent a simple conclusion.

A defensible synthesis identifies a pattern and its boundaries, with source IDs attached. For example: these selected studies suggest that the conditions of retrieval practice matter, but do not establish that every generated quiz improves course performance. Return to the papers for the wording you actually intend to use; do not substitute the table for reading.

Supporting reading: [1] [2] [3] [4]

Use AI extraction as a draft reading record

If you use an AI research tool to propose rows, check one field at a time against the original paper. A cited title does not verify its sample, comparison or result. Ask the tool to leave unsupported fields unresolved and keep your corrections in the matrix.

For a small check, compare a methods entry with the relevant passage, then inspect a result alongside its limitation. Confirm that the source locator leads to the intended evidence and that different time points have not been merged. This is a suggested workflow, not a completed tool benchmark. Use the source-verification worksheet for a disputed claim.

Keep your working record separate from the final review

The matrix is working material. Your final review should explain the relationships that answer the question, rather than repeat one row after another. Retain the spreadsheet, original sources and decisions about inclusion so that an important interpretation can be checked later.

Before sharing a copy, inspect its notes and links for restricted information. The files supplied here do not contain macros, automatic source retrieval or an AI connection. Filling a cell does not verify its contents; the reader still needs to inspect the evidence and follow the applicable citation requirements.

Questions about this topic

What is the difference between a literature matrix and a synthesis matrix?

A literature matrix records sources individually. A synthesis matrix organizes themes across those sources to help compare their contributions. The workbook includes space for both tasks.

Can I use the CSV file in Google Sheets?

CSV is a plain table that can be imported into spreadsheet software, including Google Sheets. Check field alignment and text after importing; it does not preserve the XLSX workbook’s formatting or extra sheets.

Are the example studies real?

Yes. The example links three published studies and identifies source locations. They are an illustrative selection, not a systematic review or evidence about the performance of an AI product.

Does the template evaluate sources automatically?

No. You read the sources, choose relevant fields and record your interpretation. There is no automatic credibility score or claim-verification service.

Sources and editorial notes

The supporting reading below informs our editorial guidance. Exercises and scenarios illustrate a method; they do not report a completed product test or measured learning outcome. Read our editorial policy or send a correction with a supporting source to info@ai-essay.com.

  1. University of Sheffield: organizing sources and synthesis matrices
  2. S1: Wiklund-Hörnqvist, C., Jonsson, B., & Nyberg, L. (2014). Strengthening concept learning by repeated testing. Scandinavian Journal of Psychology, 55(1), 10–16.
  3. S2: Endres, T., & Renkl, A. (2015). Mechanisms behind the testing effect: an empirical investigation of retrieval practice in meaningful learning. Frontiers in Psychology, 6, 1054.
  4. S3: Greving, S., & Richter, T. (2018). Examining the Testing Effect in University Teaching: Retrievability and Question Format Matter. Frontiers in Psychology, 9, 2412.