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Literature Review and Research Synthesis

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Formulating Research Questions with SpecificitySample Size Determination in Research PlanningHypothesis Construction: Directional and Nondirectional Predictions
planning prior-research synthesis

Core Idea

A systematic review of prior research provides essential context, reveals what is known and unknown about your question, and avoids duplication of effort. Effective literature reviews identify patterns and contradictions across studies, assess methodological strengths and weaknesses in prior work, and pinpoint specific research gaps your study can address. This foundation shapes hypotheses and design choices.

How It's Best Learned

Use database searches systematically, tracking sources and organizing findings by theme. Create summary tables comparing methods and findings across studies. Write brief critiques of papers, noting strengths and limitations. Discuss literature with colleagues to identify consensus areas and disputed findings.

Common Misconceptions

Explainer

Your work on research question formulation established that a good question is specific, feasible, and addresses a genuine gap. The literature review is not a formality preceding "real" research — it is the process by which you discover what the gap actually is, whether it has already been closed, and what filling it would require. Skipping or superficially completing the literature review means designing a study in the dark.

The central function is synthesis: not just cataloging what previous studies found, but identifying the structure of the evidence landscape. What findings replicate across multiple studies and designs? Where do results conflict, and why — different populations, different measures, different operationalizations, different analysis choices? The answers to these questions define where new research can make a genuine contribution. A study that confirms what ten previous well-designed studies already showed adds little. A study that tests the specific boundary condition where the literature's findings break down adds a great deal.

Efficient literature search combines keyword searching in databases like PsycINFO or Google Scholar with citation chaining: once you identify one highly relevant paper, trace it backward (who does it cite?) and forward (who has cited it?). A handful of anchor papers, chained in both directions, typically maps the relevant literature more completely and efficiently than keyword searches alone. As you gather papers, the goal is not exhaustiveness but coverage of the high-quality, high-influence work in the area — recent empirical studies, foundational theoretical papers, and major reviews or meta-analyses.

Critical reading is what separates a literature review from an annotated bibliography. For each paper, you are asking two things simultaneously: *what did they find*, and *how valid and trustworthy is that finding?* A well-powered, preregistered experiment with a strong manipulation carries far more evidential weight than a correlational study with a convenience sample and multiple unreported outcomes. Organizing findings thematically — by research question, by population, by methodological approach — reveals patterns that chronological organization buries. By the end of the review, the gap your study addresses should be apparent from the structure of the evidence itself, not asserted in spite of it.

Practice Questions 5 questions

Prerequisite Chain

Understanding ZeroThe Number ZeroCounting to FiveCounting to 10Counting to 20Counting a Set of Objects Up to 20Cardinality: The Last Number CountedMatching Numerals to QuantitiesSubitizing Small QuantitiesAddition Within 10Number Bonds to 10Addition Within 20Doubles and Near DoublesDoubles Facts Within 10Near Doubles Facts Within 20Mental Math Strategies for AdditionMental Math: Adding and Subtracting TensAddition Within 100Repeated Addition as MultiplicationMultiplication as Equal GroupsMultiplication: ArraysBasic Multiplication Facts (0s, 1s, 2s, 5s, 10s)Multiplication Facts Within 100Division as Equal SharingDivision as Grouping (Measurement Division)Division: Grouping (Repeated Subtraction) ModelDivision: Fair Sharing ModelDivision as Equal SharingDivision as GroupingBasic Division FactsDivision Facts Within 100Multiplication and Division Fact FamiliesRelationship Between Multiplication and DivisionDivision Facts as Inverse of MultiplicationRemainders and Quotients in DivisionDivision Word ProblemsMulti-Step Word ProblemsSolving Multi-Step Word ProblemsMultiplication Word ProblemsDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueIntegers and the Number LineComparing and Ordering IntegersAbsolute ValueAdding IntegersSubtracting IntegersMultiplying IntegersDividing IntegersUnit RatesProportionsPercent ConceptConverting Between Fractions, Decimals, and PercentsOperations with Rational NumbersTwo-Step EquationsSolving Multi-Step EquationsEquations with Variables on Both SidesAngle Pairs: Complementary, Supplementary, and VerticalParallel Lines and TransversalsCorresponding AnglesAlternate Interior AnglesTriangle Angle Sum TheoremExterior Angle TheoremTriangle Inequality TheoremSimilar Triangles: AA SimilaritySimilar Triangles: SSS and SAS SimilarityProportions in Similar TrianglesRight Triangle Trigonometry IntroductionSine, Cosine, and Tangent RatiosTrigonometric Ratios ReviewRadian MeasureConverting Between Degrees and RadiansThe Unit CircleGraphing Sine and CosineGraphing Tangent and Reciprocal Trigonometric FunctionsDerivatives of Trigonometric FunctionsAntiderivativesIndefinite IntegralsBasic Integration RulesRiemann SumsDefinite Integral DefinitionProbability Density Functions and Continuous DistributionsCumulative Distribution FunctionsContinuous Random VariablesProbability Density FunctionsExpected ValueWeak Law of Large NumbersProbability Axioms and RulesConditional ProbabilityConditional DistributionsBivariate Normal DistributionNormal DistributionStandard Normal Distribution and Z-ScoresHypothesis Testing FundamentalsExperimental Research DesignControl and Experimental GroupsRandom AssignmentConfounding Variables and Internal ValidityBlinding and Demand CharacteristicsValidity in Psychological MeasurementInferential Statistics in PsychologyEffect Size and Statistical PowerSample Size Determination in Research PlanningLiterature Review and Research Synthesis

Longest path: 108 steps · 545 total prerequisite topics

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