Michael's Reading Academic Papers Talk - Multi-Choice Flashcards
(34 cards)
What is the first thing you should do before reading an academic paper?
(a) Skim the discussion section
(b) Start reading from the beginning
(c) Define a clear research question
(d) Summarise the abstract
(c) Define a clear research question
What is a systematic review?
(a) A random summary
(b) A structured review following set criteria
(c) A book chapter
(d) An interview transcript
(b) A structured review following set criteria
Which type of research collects and analyses non-numeric data?
(a) Quantitative
(b) Qualitative
(c) Cross-sectional
(d) Experimental
(b) Qualitative
In empirical research, a cross-sectional study captures data:
(a) Over time
(b) At a single point in time
(c) Across multiple interventions
(d) Randomly across populations
(b) At a single point in time
What is an example of grey literature?
(a) A journal article
(b) A peer-reviewed systematic review
(c) An unpublished doctoral thesis
(d) A randomised controlled trial
(c) An unpublished doctoral thesis
What does standard deviation measure?
(a) The relationship between two variables
(b) The spread of data around the mean
(c) The sample’s validity
(d) The mean difference between groups
(b) The spread of data around the mean
A p-value of 0.06 indicates that the result is:
(a) Statistically significant
(b) Not statistically significant
(c) Highly reliable
(d) Based on a large effect size
(b) Not statistically significant
What statistic tells you how much variance is explained by the relationship between two variables?
(a) Cohen’s d
(b) p-value
(c) r² (Coefficient of Determination)
(d) Standard deviation
(c) r² (Coefficient of Determination)
What is the maximum possible value for a correlation coefficient (r)?
(a) 100
(b) 1
(c) 10
(d) 0.5
(b) 1
An r of 0 means:
(a) No relationship between variables
(b) A strong negative correlation
(c) A causal relationship
(d) A random sample
(a) No relationship between variables
Effect size helps determine:
(a) Whether a sample was random
(b) How large and meaningful the observed difference is
(c) Whether results are peer-reviewed
(d) How wide the standard deviation is
(b) How large and meaningful the observed difference is
Which is a risk when using AI summaries for academic papers?
(a) AI will correct statistical errors
(b) AI may hallucinate information
(c) AI improves deep learning
(d) AI always verifies citations
(b) AI may hallucinate information
Why is it important to critically evaluate a methodology section?
(a) To see if the sample was large enough
(b) To verify the journal’s reputation
(c) To correct grammatical errors
(d) To find interesting writing styles
(a) To see if the sample was large enough
Reliability refers to:
(a) Whether a study measures what it claims
(b) The sample size adequacy
(c) Consistency of measurement
(d) Validity of conclusions
(c) Consistency of measurement
Validity refers to:
(a) Repeatability of results
(b) Whether a measure accurately reflects the intended construct
(c) Size of the standard deviation
(d) Whether the sample is random
(b) Whether a measure accurately reflects the intended construct
Which of the following is an example of good deep learning practice?
(a) Memorising abstracts
(b) Skimming discussions quickly
(c) Explaining the paper to someone else
(d) Reading without a specific question
(c) Explaining the paper to someone else
Which is NOT a type of quantitative study?
(a) RCT
(b) Exploratory study
(c) Cross-sectional study
(d) Interview study
(d) Interview study
What is a key feature of meta-analyses?
(a) They summarise theoretical debates
(b) They qualitatively interpret interviews
(c) They statistically combine results from multiple studies
(d) They test hypotheses with experiments
(c) They statistically combine results from multiple studies
If the p-value is less than 0.001, the result is:
(a) Highly likely to have occurred by chance
(b) Highly statistically significant
(c) Highly practically significant
(d) Unreliable
(b) Highly statistically significant
What does it suggest if a study uses a sample only from university students?
(a) The sample is broadly representative
(b) Possible sampling bias
(c) It guarantees external validity
(d) The findings are applicable to all adults
(b) Possible sampling bias
Which statistic helps you understand the magnitude of a treatment’s effect?
(a) p-value
(b) Effect size (e.g., Cohen’s d)
(c) Standard deviation
(d) r²
(b) Effect size (e.g., Cohen’s d)
Why should you read the methodology even if the conclusion sounds convincing?
(a) To check for typos
(b) To make sure the design supports the claims
(c) To find the author’s background
(d) To see who funded the study
(b) To make sure the design supports the claims
If a study says ‘there was a significant difference, p < 0.05,’ what should you check next?
(a) Whether the effect size is meaningful
(b) Whether the paper was funded externally
(c) Whether the sample had more women
(d) Whether the author has a PhD
(a) Whether the effect size is meaningful
What type of distribution does height typically follow?
(a) Power distribution
(b) Normal distribution
(c) Skewed left
(d) Skewed right
(b) Normal distribution
