Reading scientific passages
62 flashcards covering Reading scientific passages for the LSAT Reading Comprehension section.
Reading scientific passages involves analyzing texts from fields like biology, physics, or psychology, where authors present research, theories, and data. These passages often include complex ideas, such as experimental methods, hypotheses, and conclusions, but you don't need prior expertise to understand them. The key is to break down the information into its core components, like identifying the main argument, supporting evidence, and any implications, which helps build critical thinking skills essential for real-world problem-solving.
On the LSAT Reading Comprehension section, scientific passages appear as one of the four sets, typically featuring questions that ask you to infer meanings, evaluate evidence, or compare viewpoints. Common traps include overgeneralizing from details or confusing correlation with causation, so focus on the passage's structure and precise language to avoid misinterpretations. Mastering this topic can significantly boost your score by improving your ability to handle dense material under time pressure.
Practice active reading by noting key terms as you go.
Terms (62)
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Main Idea of a Scientific Passage
The main idea is the central thesis or primary argument that the author presents in a scientific passage, often stating the key hypothesis or conclusion that the rest of the text supports.
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Supporting Evidence
Supporting evidence consists of the facts, data, experiments, or observations that an author uses to back up the main idea in a scientific passage, helping to validate claims and build a logical argument.
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Hypothesis
A hypothesis is a testable prediction or proposed explanation for a phenomenon in a scientific passage, serving as the foundation for experiments and often stated early in the text.
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Independent Variable
The independent variable is the factor that a scientist manipulates in an experiment, as described in a passage, to observe its effect on other elements, allowing for testing of cause-and-effect relationships.
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Dependent Variable
The dependent variable is the outcome or result that is measured in an experiment within a scientific passage, changing in response to the independent variable and indicating the experiment's results.
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Control Group
A control group is a standard comparison in an experiment, as outlined in a passage, where variables are held constant to provide a baseline for evaluating the effects of the experimental conditions.
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Experimental Group
The experimental group is the set of subjects or conditions in an experiment described in a passage that are exposed to the variable being tested, allowing researchers to compare outcomes with the control group.
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Data Interpretation
Data interpretation involves analyzing the results presented in a scientific passage, such as charts or statistics, to draw meaningful conclusions about patterns, trends, or relationships.
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Scientific Conclusion
A scientific conclusion is the final inference drawn from evidence in a passage, summarizing what the data supports and often addressing the original hypothesis or research question.
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Inference from Passage
An inference is a logical deduction made based on the information in a scientific passage, going beyond stated facts to imply what must be true according to the evidence provided.
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Author's Purpose in Science
The author's purpose in a scientific passage is the reason for writing, such as to inform about discoveries, persuade readers of a theory, or critique existing research, which shapes the text's tone and structure.
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Strengths of Scientific Arguments
Strengths of scientific arguments are the robust elements, like solid evidence or logical reasoning, that make a claim in a passage convincing and resistant to counterarguments.
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Weaknesses of Scientific Arguments
Weaknesses of scientific arguments are flaws, such as unaddressed assumptions or limited sample sizes, that undermine the validity of claims presented in a passage.
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Assumptions in Scientific Texts
Assumptions in scientific texts are unstated beliefs or premises that the author relies on, which may need to be identified to fully evaluate the logic and potential biases in the argument.
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Correlation vs. Causation
Correlation refers to a relationship between two variables in a passage, while causation means one directly causes the other; confusing these can lead to misinterpretations of scientific data.
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Sample Size
Sample size is the number of subjects or data points used in a study described in a passage, where a larger size generally increases the reliability and generalizability of the findings.
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Bias in Studies
Bias in studies refers to systematic errors or prejudices in research design or data collection as presented in a passage, which can skew results and affect the credibility of conclusions.
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Replication of Experiments
Replication of experiments means repeating a study under similar conditions, as mentioned in a passage, to verify results and ensure the findings are not due to chance or error.
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Empirical Evidence
Empirical evidence is information gathered through observation or experimentation in a scientific passage, forming the basis for claims and distinguishing science from mere speculation.
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Anecdotal Evidence
Anecdotal evidence consists of personal stories or isolated examples in a passage, which is often weaker than systematic data because it may not represent broader trends.
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Statistical Significance
Statistical significance indicates that results in a scientific passage are unlikely due to random chance, based on probability tests, helping to determine if findings are meaningful.
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Placebo Effect
The placebo effect is a phenomenon in studies where participants experience changes due to belief in treatment, as described in a passage, which can complicate the interpretation of real drug effects.
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Double-Blind Study
A double-blind study is a research method where neither participants nor researchers know who receives the treatment, reducing bias as explained in a passage.
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Longitudinal Study
A longitudinal study tracks subjects over an extended period, as in a passage, to observe changes and establish patterns or causes over time.
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Cross-Sectional Study
A cross-sectional study examines a population at a single point in time, as described in a passage, to identify associations but not necessarily causation.
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Paradigm Shift
A paradigm shift is a fundamental change in scientific thinking, as discussed in a passage, where established theories are replaced by new ones due to overwhelming evidence.
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Skimming for Main Points
Skimming for main points is a reading strategy for scientific passages that involves quickly scanning to identify the thesis, key arguments, and structure without reading every detail.
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Reading for Detail
Reading for detail means carefully examining specific elements in a scientific passage, such as data or examples, to answer precise questions or verify claims.
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Identifying Key Terms
Identifying key terms involves spotting important scientific vocabulary in a passage, like 'hypothesis' or 'variable', to understand the core concepts and their roles.
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Mapping the Passage
Mapping the passage is a technique to outline the structure of a scientific text, noting main ideas, supporting points, and transitions to improve comprehension and recall.
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Predicting Questions
Predicting questions means anticipating what the test might ask about a scientific passage, such as about implications or flaws, to focus reading on relevant details.
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Answering Inference Questions
Answering inference questions requires using clues from a scientific passage to logically deduce unstated information, ensuring inferences are directly supported by the text.
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Handling Dense Language
Handling dense language involves breaking down complex scientific terminology and sentences in a passage into simpler parts to grasp the meaning without getting overwhelmed.
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Recognizing Analogies
Recognizing analogies in scientific passages means identifying comparisons that explain concepts, helping to clarify abstract ideas by relating them to familiar examples.
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Evaluating Counterarguments
Evaluating counterarguments requires assessing opposing views presented or implied in a scientific passage to determine the strength of the main argument.
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Synthesizing Information
Synthesizing information means combining details from different parts of a scientific passage to form a cohesive understanding or draw broader conclusions.
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Misinterpreting Data
Misinterpreting data is a common trap where readers incorrectly analyze charts or figures in a passage, such as assuming trends without considering context or errors.
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Overgeneralizing from Evidence
Overgeneralizing from evidence occurs when conclusions in a passage are applied too broadly, ignoring limitations like small samples or specific conditions.
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Ignoring Study Limitations
Ignoring study limitations means overlooking factors in a passage, such as potential biases or uncontrolled variables, which can lead to flawed interpretations.
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Confusing Theory and Fact
Confusing theory and fact involves mistaking unproven ideas for established truths in a scientific passage, which can distort understanding of the author's claims.
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Example of Identifying Hypothesis
In a passage about climate change, identifying the hypothesis might involve noting the author's statement that rising temperatures cause more frequent storms as the testable prediction.
For instance, if the passage says 'Increased CO2 levels lead to global warming,' that's the hypothesis.
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Example of Drawing Inference
Drawing an inference from a passage might mean concluding that a study's results suggest a broader environmental impact, based on evidence of pollution in one area.
If the passage describes fish dying in a river, infer that upstream factories are polluting.
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Falsifiability of Claims
Falsifiability of claims refers to whether a scientific statement in a passage can be proven wrong through evidence, a key criterion for valid hypotheses.
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Peer Review Process
The peer review process is the evaluation of scientific work by experts before publication, as mentioned in passages, ensuring accuracy and credibility.
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Implications of Findings
Implications of findings are the potential consequences or applications of research results in a passage, extending beyond the immediate data to real-world effects.
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Contradictory Evidence
Contradictory evidence is information in a passage that challenges the main argument, requiring readers to weigh it against supporting data to assess overall validity.
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Scientific Method Overview
The scientific method is a systematic process in passages, involving observation, hypothesis formation, experimentation, and conclusion, to investigate natural phenomena.
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Author's Tone in Debates
The author's tone in scientific debates, as in passages, can be objective, skeptical, or enthusiastic, influencing how readers perceive the reliability of the argument.
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Evaluating Evidence Quality
Evaluating evidence quality means assessing factors like source reliability and methodology in a passage to determine how strongly it supports the claims.
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Patterns in Data
Patterns in data are recurring trends or relationships observed in scientific passages, such as correlations between variables, that help form conclusions.
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Limitations of Observational Studies
Limitations of observational studies include the inability to control variables, as noted in passages, which can make it hard to establish causation.
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Hypothesis Testing
Hypothesis testing is the process of using experiments to confirm or refute a hypothesis in a passage, often involving statistical analysis of results.
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Interpreting Graphs
Interpreting graphs requires understanding visual representations in passages, such as bar charts, to extract key data points and trends accurately.
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Causation in Experiments
Causation in experiments is established when changes in one variable directly lead to changes in another, as demonstrated in a passage through controlled tests.
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Generalizability of Results
Generalizability of results refers to how applicable findings from a study in a passage are to larger populations, depending on factors like sample diversity.
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Identifying Logical Flaws
Identifying logical flaws involves spotting errors in reasoning, such as hasty generalizations, in scientific passages that weaken the author's argument.
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Role of Anecdotes
The role of anecdotes in scientific passages is to illustrate points but not serve as primary evidence, as they lack the rigor of controlled data.
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Synthesizing Theories
Synthesizing theories means combining multiple ideas from a passage to understand how they interrelate or form a comprehensive explanation.
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Predicting Outcomes
Predicting outcomes based on a passage involves using presented data and patterns to forecast future results or implications of scientific findings.
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Bias in Data Collection
Bias in data collection occurs when methods in a passage favor certain outcomes, potentially invalidating results and requiring critical evaluation.
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Example of Evaluating Argument Strength
Evaluating argument strength might involve assessing how well a passage's evidence supports a claim, such as strong data backing a hypothesis on evolution.
In a passage claiming vaccines reduce disease, strong evidence includes large-scale trial results.
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Common Inference Traps
Common inference traps include assuming unstated connections in a passage, like jumping from correlation to causation without evidence.