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Literature Review and Research Synthesis

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Formulating Research Questions with SpecificitySample Size Determination in Research Planning→→Hypothesis 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 Zero → The Number Zero → Counting to Five → Counting to 10 → Counting to 20 → Counting a Set of Objects Up to 20 → Cardinality: The Last Number Counted → Matching Numerals to Quantities → Subitizing Small Quantities → Addition Within 10 → Number Bonds to 10 → Addition Within 20 → Doubles and Near Doubles → Doubles Facts Within 10 → Near Doubles Facts Within 20 → Mental Math Strategies for Addition → Mental Math: Adding and Subtracting Tens → Addition Within 100 → Repeated Addition as Multiplication → Multiplication as Equal Groups → Multiplication: Arrays → Basic Multiplication Facts (0s, 1s, 2s, 5s, 10s) → Multiplication Facts Within 100 → Division as Equal Sharing → Division as Grouping (Measurement Division) → Division: Grouping (Repeated Subtraction) Model → Division: Fair Sharing Model → Division as Equal Sharing → Division as Grouping → Basic Division Facts → Division Facts Within 100 → Multiplication and Division Fact Families → Relationship Between Multiplication and Division → Division Facts as Inverse of Multiplication → Remainders and Quotients in Division → Division Word Problems → Multi-Step Word Problems → Solving Multi-Step Word Problems → Multiplication Word Problems → Division Word Problems → Introduction to Long Division → Factors and Multiples → Prime and Composite Numbers → Equivalent Fractions → Relating Fractions and Decimals → Decimal Place Value → Integers and the Number Line → Comparing and Ordering Integers → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Dividing Integers → Unit Rates → Proportions → Percent Concept → Converting Between Fractions, Decimals, and Percents → Operations with Rational Numbers → Two-Step Equations → Solving Multi-Step Equations → Equations with Variables on Both Sides → Angle Pairs: Complementary, Supplementary, and Vertical → Parallel Lines and Transversals → Corresponding Angles → Alternate Interior Angles → Triangle Angle Sum Theorem → Exterior Angle Theorem → Triangle Inequality Theorem → Similar Triangles: AA Similarity → Similar Triangles: SSS and SAS Similarity → Proportions in Similar Triangles → Right Triangle Trigonometry Introduction → Sine, Cosine, and Tangent Ratios → Trigonometric Ratios Review → Radian Measure → Converting Between Degrees and Radians → The Unit Circle → Graphing Sine and Cosine → Graphing Tangent and Reciprocal Trigonometric Functions → Derivatives of Trigonometric Functions → Antiderivatives → Indefinite Integrals → Basic Integration Rules → Riemann Sums → Definite Integral Definition → Probability Density Functions and Continuous Distributions → Cumulative Distribution Functions → Continuous Random Variables → Probability Density Functions → Expected Value → Weak Law of Large Numbers → Probability Axioms and Rules → Conditional Probability → Conditional Distributions → Bivariate Normal Distribution → Normal Distribution → Standard Normal Distribution and Z-Scores → Hypothesis Testing Fundamentals → Experimental Research Design → Control and Experimental Groups → Random Assignment → Confounding Variables and Internal Validity → Blinding and Demand Characteristics → Validity in Psychological Measurement → Inferential Statistics in Psychology → Effect Size and Statistical Power → Sample Size Determination in Research Planning → Literature Review and Research Synthesis

Longest path: 108 steps · 545 total prerequisite topics

Prerequisites (2)

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