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Quizzes > Business & Finance

Monitoring and Evaluation MCQs: Test Your Knowledge

Quick quiz on monitoring and evaluation questions. Instant results.

Editorial: Review CompletedCreated By: Lindsay McchesneyUpdated Aug 28, 2025
Difficulty: Moderate
2-5mins
Learning OutcomesCheat Sheet
Paper art illustration of quiz elements for Monitoring and Evaluation knowledge challenge on golden yellow background

This quiz helps you check your monitoring and evaluation basics, like indicators, baselines, data quality, and reporting, so you can spot gaps before an exam or project review. For more practice, try the project management quiz, a free online excel test to sharpen data skills, or an online multiple choice test to build speed and accuracy.

What is the primary purpose of monitoring in M&E?
To develop the initial budget for the project
To determine project sustainability 10 years after closure
To replace the need for evaluation
To track progress of activities and outputs during implementation
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An output is the immediate product or service delivered by project activities.
True
False
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In SMART indicators, what does the S stand for?
Strategic
Standardized
Specific
Statistical
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A baseline is data collected at the end of a project to assess final outcomes.
False
True
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Which method is best for exploring participants' perceptions in depth?
Administrative records review
Remote sensing imagery
Focus group discussion
Structured observation checklist only
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What is the main purpose of an indicator reference sheet (PIRS)?
To market the project to stakeholders
To store raw datasets
To replace the M&E plan
To standardize indicator definitions, calculations, and data sources
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Targets should be set without considering the baseline.
False
True
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Which sampling method ensures every unit has a known, non-zero chance of selection?
Judgmental sampling
Simple random sampling
Convenience sampling
Snowball sampling
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Triangulation uses multiple methods or sources to increase confidence in findings.
True
False
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Which is a quasi-experimental impact evaluation design?
Difference-in-differences
Process evaluation
Case study only
Desk review
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Random assignment primarily addresses which threat to internal validity?
Maturation
Instrumentation
Selection bias
History
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A randomized controlled trial can estimate causal impact without a counterfactual.
True
False
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Which change most directly reduces the design effect in cluster sampling?
Increasing cluster size while holding total sample fixed
Lower intra-cluster correlation
Increasing between-cluster similarity
Adding more stratification variables arbitrarily
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The difference-in-differences design relies on the parallel trends assumption.
True
False
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Which method is especially suited to identify and learn from unexpected outcomes?
Outcome harvesting
Cost-benefit analysis
Routine administrative monitoring only
Pre-post test without any qualitative component
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Which change will increase the required sample size in a power calculation, all else equal?
Allowing a higher Type I error rate (alpha)
Assuming a smaller minimum detectable effect size
Accepting lower power
Reducing outcome variance through better measurement
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Regression discontinuity designs require that units cannot precisely manipulate the assignment variable at the cutoff.
True
False
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In contribution analysis, what is the primary aim of assembling evidence?
To build a credible contribution story by testing the theory of change and assumptions
To replace stakeholder engagement
To compute p-values for every activity
To guarantee attribution with 100% certainty
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In a stepped-wedge cluster randomized trial, all clusters start receiving the intervention at the same time.
False
True
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For staggered adoption difference-in-differences, which estimator addresses negative weighting bias in two-way fixed effects?
Cross-sectional OLS at endline only
Group-time average treatment effects (e.g., Callaway and Sant'Anna)
Simple pre-post difference without controls
Unadjusted two-way fixed effects with no diagnostics
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Study Outcomes

  1. Understand Core M&E Concepts -

    Identify and define key frameworks and terminology in monitoring and evaluation questions and answers to establish a solid foundation for project oversight.

  2. Differentiate Monitoring vs. Evaluation -

    Analyze the distinct objectives, timelines, and methodologies of monitoring and evaluation within a monitoring evaluation test context to improve project performance tracking.

  3. Apply Data Collection Techniques -

    Implement best practices for surveys, interviews, and data management highlighted in the M&E quiz to ensure accurate and reliable information gathering.

  4. Assess Impact Measurement Methods -

    Critically evaluate quantitative and qualitative impact assessment approaches featured in monitoring and evaluation MCQs to determine program effectiveness and outcomes.

  5. Prepare for Certification Exams -

    Enhance readiness for a monitoring and evaluation question paper or professional exam by practicing targeted questions and answers that mirror real-world scenarios.

Cheat Sheet

  1. SMART Indicators -

    Review how Specific, Measurable, Achievable, Relevant, and Time-bound criteria guide indicator selection in monitoring and evaluation questions and answers. For example, "Number of community meetings held by Q3" meets all SMART elements. Mnemonic trick: "S.M.A.R.T keeps M&E on track."

  2. Logical Framework (Logframe) -

    Understand the hierarchy of Goal - Purpose - Outputs - Activities to build a coherent M&E quiz response structure. A typical logframe flows from Inputs → Activities → Outputs → Outcomes → Impact, clarifying causality. Tip: remember it as IPOOI (Input, Process, Output, Outcome, Impact).

  3. Data Quality Dimensions -

    Master reliability, validity, timeliness, precision, and integrity when answering monitoring and evaluation MCQs. For instance, Cronbach's alpha (α ≥ 0.7) indicates internal consistency for survey items. Use the acronym "RVTPI" to recall all five dimensions.

  4. Sampling Methods & Sample Size Formula -

    Differentiate between simple random, stratified, and cluster sampling to tackle monitoring evaluation test scenarios confidently. Apply the sample size equation n = (Z² × p × (1 - p)) ÷ d² to calculate your survey needs. Remember "RS-Cluster" to signpost Random, Stratified, then Cluster approaches.

  5. Evaluation Types: Formative vs. Summative -

    Know when to use formative (ongoing improvement) versus summative (final judgment) evaluations in your monitoring and evaluation question paper. Formative answers "How can we improve?" while summative answers "Did we achieve our goals?" Brush up on process, outcome, and impact evaluation distinctions.

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