Psychology dissertation scoping review projects systematically map what evidence exists, how researchers have studied a broad question, and where important gaps remain. They are useful when a field is conceptually complex, methodologically diverse, or too immature for a narrowly focused effectiveness review.
A scoping review is not an easier systematic review or an expanded literature essay. It requires a protocol, reproducible searches, transparent eligibility decisions, structured data charting, and a defensible synthesis. This guide explains how to make those decisions for a psychology dissertation while keeping the project feasible, rigorous, and globally relevant.
Table of Contents
What is a Psychology Dissertation Scoping Review?
A scoping review is a form of evidence synthesis designed to describe the extent, characteristics, concepts, methods, and gaps within a body of literature. It can include varied evidence types when those sources are relevant to the question. The result is usually a structured map rather than a pooled estimate of one intervention effect.
The foundational framework by Arksey and O’Malley described stages for identifying the question, finding and selecting studies, charting data, and collating results. Later work by Levac, Colquhoun, and O’Brien strengthened the approach by emphasising a clear purpose, an iterative but accountable process, team-based selection, and meaningful interpretation.
Current projects should use an explicit methodological framework. The JBI Scoping Review Network provides detailed guidance on protocols, questions, searching, selection, charting, analysis, and presentation. For reporting, the official PRISMA-ScR extension contains 20 essential and two optional items. PRISMA-ScR guides reporting; it does not replace a conduct framework.
Decide whether a scoping review fits the question
Choose this design when your purpose is to map how a topic is defined, identify study designs or measures, examine the range of populations and settings, clarify an emerging concept, or locate gaps for future research. Examples include mapping how loneliness is measured among displaced adolescents or identifying digital methods used to assess workplace burnout across countries.
A scoping review is usually unsuitable when the central question asks whether one intervention works, how accurate a diagnostic test is, or what the average association between two variables is. Those questions often require a focused systematic review, and sometimes a meta-analysis. It is also unsuitable when the student only wants a convenient label for a narrative literature review.
| Review purpose | Best-fitting approach | Typical output |
|---|---|---|
| Map concepts, methods, populations, and gaps | Scoping review | Evidence map and descriptive synthesis |
| Answer a focused effectiveness or association question | Systematic review | Critical synthesis of eligible evidence |
| Combine comparable numerical effects | Meta-analysis | Pooled estimate with uncertainty |
| Develop a broad scholarly argument without comprehensive retrieval | Narrative review | Interpretive account of selected literature |
Run a preliminary feasibility search
Before committing, search major databases and review registries to see whether an equivalent review already exists. A recent review does not automatically make the dissertation redundant. Your project may update the period, cover neglected regions, include a different evidence type, or answer a distinct conceptual question. State that contribution precisely.
Estimate the likely record volume, database access, translation needs, full-text availability, and time required for duplicate screening. A question returning tens of thousands of records may need tighter concept or context limits. A question returning very few records may still be valuable, but confirm that the apparent gap is not caused by weak terminology.
Frame the question with Population, Concept, and Context
JBI guidance commonly uses the Population, Concept, and Context framework, or PCC. Population identifies who or what is studied. Concept defines the central phenomenon, construct, method, intervention, or experience. Context identifies settings, cultures, sectors, geographic regions, or other relevant boundaries.
For example: “What methods have been used to assess climate anxiety among people aged 12 to 25 in educational and community settings?” The population is people aged 12 to 25, the concept is methods for assessing climate anxiety, and the context is educational and community settings. The wording asks for a map of methods rather than an estimate of prevalence.
Keep the question broad enough to justify scoping but specific enough to govern eligibility. Define ambiguous constructs operationally. If “young people,” “digital intervention,” or “low-resource setting” appears in the question, explain exactly how records will qualify. Align the objective, question, inclusion criteria, search concepts, charting fields, and planned tables.
Develop and register a protocol
Write the protocol before formal screening. It should state the rationale, objective, PCC question, eligibility criteria, information sources, full search strategy for at least one database, selection process, charting variables, synthesis plan, consultation plans if any, and procedures for amendments. Use the protocol resources available through the JBI Scoping Review Network as a practical structure when they suit institutional requirements.
Registering the protocol creates a dated record and helps distinguish planned decisions from later adaptations. The Center for Open Science explains that an OSF registration archives the study design and related outputs in a persistent form. Check whether your department requires another repository or an embargo.
Scoping work is often iterative, but iteration must be visible. If a pilot search reveals that a population label is unworkable, amend the protocol with the date, reason, and effect on completed work. Do not quietly redesign eligibility after seeing which studies produce a preferred story. The site’s preregistration guide offers additional principles for documenting decisions and deviations.
Specify transparent eligibility criteria
Translate every part of the question into an inclusion or exclusion rule. Define population characteristics, concepts, settings, evidence types, publication status, dates, and languages. Avoid limits based only on convenience. When time or language resources require restrictions, explain their likely effect on the evidence map.
Scoping reviews can include qualitative, quantitative, mixed-methods, theoretical, policy, and grey-literature sources, but they do not have to include everything. Source types should follow the objective. A review mapping clinical measurement tools may prioritise validation studies, while a review of mental-health guidance may need policy documents and professional standards.
| Criterion | Question to resolve | Example decision |
|---|---|---|
| Population | Which participants or units qualify? | People aged 12 to 25, including mixed samples with separable data |
| Concept | What must the source examine? | A named climate-anxiety measure or assessment method |
| Context | Which settings or regions matter? | Education and community settings in any country |
| Evidence type | Which designs or documents are eligible? | Empirical studies and measurement reports |
| Time and language | Are restrictions justified and manageable? | No date limit; languages supported by the review team |
Prepare decision rules for predictable borderline cases. Decide how to treat conference abstracts, dissertations, protocols, commentaries, mixed-age samples, duplicate reports, and studies where the concept is only a secondary variable. These rules reduce inconsistency and make disagreements easier to resolve.
Design a reproducible search strategy
Searches should be comprehensive enough for the mapping objective and reproducible by another researcher. Work with a librarian or information specialist when available. Select databases for disciplinary coverage rather than habit. A psychology review might combine PsycINFO with MEDLINE, Scopus, Web of Science, ERIC, CINAHL, or a regional database depending on the question.
Translate PCC concepts into subject headings, keywords, spelling variants, abbreviations, and historical terms. Search interfaces differ, so adapt syntax for proximity operators, truncation, phrase searching, and controlled vocabulary. Never paste one database string into every platform unchanged.
The PRESS checklist supports structured peer review of electronic search strategies. If formal peer review is unavailable, ask a knowledgeable colleague or librarian to check concept translation, Boolean logic, subject headings, text words, limits, and syntax. Test whether the search retrieves several known relevant records.
Plan grey-literature and supplementary searching
Grey literature may be central when policy, services, unpublished theses, preprints, or measurement manuals shape the topic. Search only sources relevant to the question, record exactly how each was searched, and apply a stopping rule to websites or search engines. The Cochrane searching chapter explains principles that also apply beyond intervention reviews, including information-specialist involvement and transparent selection.
Supplement database searching with backward citation checking, forward citation searching, relevant review reference lists, and targeted organisation websites. Document database names, platforms, coverage dates, exact search dates, complete strategies, results retrieved, and any deduplication process. Save search exports and search histories.
Manage records and remove duplicates
Export records into a reference manager or review platform using formats that preserve abstracts, identifiers, and indexing terms. Keep an untouched archive of each database export. Deduplicate using a documented sequence based on identifiers, titles, authors, years, and manual checks. Automated matching can both miss duplicates and merge different records.
Multiple reports may describe one underlying study. Link related reports rather than treating them automatically as independent studies. Decide which report supplies each charting field and record the relationship. This prevents inflated counts and conflicting descriptions.
Screen sources consistently
Pilot the eligibility criteria on a varied sample before full screening. Reviewers should compare decisions, discuss ambiguous rules, and revise the guidance before proceeding. Ideally, two people independently screen titles and abstracts, then full texts. If programme resources permit only partial duplicate screening, disclose the limitation and use a robust verification process.
At full text, record one primary exclusion reason from a predefined hierarchy. “Wrong concept” is more informative than “not relevant.” Keep an audit trail of conflicts and resolutions. Never exclude a study because its findings are inconvenient or because charting it would complicate the narrative.
Report the numbers identified, deduplicated, screened, excluded, assessed in full text, and included in a flow diagram. Store full-text decisions securely, especially when records contain licensed material. The flow counts must reconcile with the screening database.
Build and pilot the data-charting form
Data charting extracts information needed to answer the mapping question. Common fields include citation, country, aims, population, setting, design, sample, theoretical framework, construct definition, measures, analysis, and findings relevant to the review objective. Do not collect fields merely because they appear in other reviews.
Create a coding manual that defines each field, permitted values, missing-data labels, and rules for multiple categories. Pilot the form on sources that differ in design and reporting quality. Revise it before full extraction and record changes. A spreadsheet can be sufficient if it has controlled values, validation, versioning, and a stable unique identifier for every source.
Distinguish missing from unreported information
Use separate codes for not reported, not applicable, unclear, and genuinely absent. For example, a study may use no named theoretical framework, or it may simply fail to report one. Combining these states can create a misleading gap. Retain short supporting notes or page references for complex judgements.
Check a proportion of charted records independently or verify all high-judgement fields. Resolve discrepancies using the coding manual, not majority intuition. Update the manual when new cases require a rule and consider whether earlier records need recoding.
Appraise evidence only when it serves the objective
Critical appraisal is not automatically required in a scoping review. The decision depends on what the review claims. A map of publication characteristics may not need risk-of-bias assessment. A review drawing practice implications from study results may require appraisal or a more focused review design.
If appraisal is included, state why, select tools matched to each study design, train reviewers, and explain how results influence synthesis. Do not calculate a single quality score by adding unrelated checklist items unless the tool explicitly supports that interpretation. Equally, do not imply that unappraised evidence is trustworthy simply because it was systematically located.
Analyse and present an evidence map
Begin with descriptive counts that answer meaningful questions: publication year, country, population, setting, design, construct definition, measures, and theory use. Denominators must be explicit because one source may contribute to several categories. Use tables and charts only when categories are sufficiently consistent.
Qualitative content analysis can organise definitions, methodological patterns, or research gaps, but it should follow a transparent coding process. Avoid presenting frequency as importance. A rarely studied population may matter precisely because it is absent, and a frequently used measure is not necessarily the best validated measure.
| Mapping output | What it reveals | Common caution |
|---|---|---|
| Study-characteristics table | Who, where, when, and how | May become unreadable if every field is included |
| Evidence matrix | Coverage across populations and concepts | Empty cells may reflect search or reporting limits |
| Geographic map | Regional concentration | Country count does not measure evidence quality |
| Timeline | Development of concepts or methods | Publication year may lag data collection |
| Conceptual categories | Definitions, theories, and recurring themes | Categories require reflexive interpretation |
Identify gaps responsibly
A research gap is not merely a low count. Explain whether the gap concerns population representation, geographic coverage, theory, measurement, design, follow-up, reporting, or implementation. Consider whether the missing evidence is ethically and scientifically worth producing. Some apparent gaps exist because a question is trivial, infeasible, or inappropriate.
Do not make causal or effectiveness claims that the mapped evidence cannot support. A scoping review can show that most studies report an association, but without appraisal and synthesis it cannot establish the association’s size or reliability. Keep conclusions aligned with the protocol and the data-charting fields.
Report with PRISMA-ScR
Use PRISMA-ScR as a final reporting check from the title and abstract through methods, results, discussion, and funding. Name the review as a scoping review, provide the protocol location, reproduce full search strategies, explain selection and charting processes, present a flow diagram, describe source characteristics, and state limitations.
The dissertation method chapter should be detailed enough to reproduce the review. The results chapter should separate located evidence from interpretation. The discussion should answer the question, relate patterns to psychology theory and practice, acknowledge search and process limitations, and propose proportionate next research steps.
Appendices can hold database strategies, charting forms, coding manuals, excluded full texts with reasons if permitted, appraisal materials, and supplementary evidence maps. Remove licensed full-text documents and personal correspondence from public files unless sharing is authorised.
Psychology-specific example
Imagine a student mapping virtual-reality methods used to study social anxiety in adults. The PCC framework defines adults as the population, virtual-reality assessment or exposure methods as the concept, and research or clinical settings worldwide as the context. Eligible evidence may include feasibility studies, experiments, observational studies, and measurement papers.
The charting form could capture headset type, virtual social scenario, theoretical model, anxiety measure, behavioural indicator, immersion measure, comparator, adverse-event reporting, country, and accessibility features. The synthesis might reveal heavy reliance on university samples, inconsistent cybersickness reporting, limited cross-cultural validation, and varied definitions of presence. Those are mapping findings, not proof that one headset or intervention is superior.
Common mistakes and practical repairs
- Using a question that tests effectiveness: choose a systematic review or rewrite the objective around mapping.
- Searching only one convenient database: select sources based on disciplinary and regional coverage.
- Writing criteria after screening: protocolise and pilot rules before formal decisions.
- Calling any broad review “scoping”: use systematic selection, charting, and reporting.
- Collecting excessive data: retain only fields that answer the objective.
- Treating counts as quality: separate volume, methodological features, and credibility.
- Declaring every empty cell a gap: judge importance, feasibility, ethics, and search limitations.
- Hiding iterative decisions: date amendments and explain their consequences.
Frequently asked questions
How many databases should a scoping review search?
There is no universal number. Choose enough relevant sources to cover the disciplines, regions, and evidence types in the question. Justify each database, supplement it appropriately, and report every strategy.
Does a scoping review need two reviewers?
Independent duplicate screening reduces selection errors and subjective drift. When a dissertation cannot support full duplication, pilot carefully, verify a meaningful proportion, document conflict resolution, and report the limitation honestly.
Can I include grey literature?
Yes, when reports, theses, policy documents, professional guidance, or other non-journal sources answer the question. Define eligible types and use reproducible search and stopping procedures.
Do I need a risk-of-bias assessment?
Not automatically. Include appraisal when it is necessary for the review purpose or claims. If you omit it, avoid conclusions that assume the included evidence is valid or effective.
Can a scoping review include meta-analysis?
Usually the primary purpose is mapping rather than pooling. If sufficiently comparable effects emerge, a separate systematic-review and meta-analysis objective may be more appropriate. Do not add pooling simply because software makes it possible.
How long does a dissertation scoping review take?
Timing depends on search breadth, record volume, full-text access, team size, and charting complexity. Build a schedule for protocol development, searching, deduplication, screening, extraction, synthesis, writing, and supervisor review, with contingency time.
Conclusion
A rigorous psychology dissertation scoping review begins with a genuine mapping purpose, a PCC-aligned question, and a registered protocol. Its credibility depends on comprehensive and reproducible searching, consistent selection, purposeful charting, restrained interpretation, and complete PRISMA-ScR reporting.
For ethical academic support, request feedback on your question, protocol, search logic, charting form, and presentation while retaining authorship and decision-making responsibility. Follow institutional rules, respect database licences, disclose every amendment, and never invent screening, extraction, or appraisal work.
