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The Verbal Reasoning section of the GRE is designed to measure a test taker's ability to understand, analyze, and interpret written material. 

It includes three main question types: Reading Comprehension, Text Completion and Sentence Equivalence.

Comprehension Article

Comprehension questions assess candidates' ability to understand and analyze passages in many different areas, including humanities, social sciences, natural sciences and business.

• Format: Each passage is followed by a series of questions that may focus on main ideas, specific details, author's tone, inferences, or  logical structure of the text.
• Objective: Assesses candidates' comprehension skills, critical thinking skills, and ability to extract relevant information from complex written documents.

Text Completion

Text completion questions assess candidates' understanding of sentence structure and vocabulary. In these questions, a sentence or paragraph has one to three spaces and candidates must choose the correct words or phrases to fill in the blanks from the list provided. 

• Format: Completion options are usually presented in a drop-down menu and  correct answers must be selected in the correct order.
• Objective: Assess candidates' ability to understand the overall meaning of a sentence or paragraph and to choose appropriate words to maintain coherence and logic.

Sentence Equivalence

Sentence equivalence gives a sentence with a blank box and candidates must choose two answer options that when inserted into the sentence will create sentences with equivalent  meaning. 

• Format: Similar to text completion, sentence equivalence questions also involve choosing the correct answer from a list provided.
• Aim: Assess candidates' understanding of sentence structure, context and vocabulary.

This type of question focuses on the ability to identify words that maintain the overall meaning of the sentence. 

Objectives of the Verbal Reasoning section

The Verbal Reasoning section aims to assess candidates' abilities in the following areas:

• Comprehension ability , interpretation and drawing conclusions from  passages in different fields. 
• Ability to analyze information, identify logical relationships, and make reasonable judgments based on the content of the passage. 
• Ability to understand and use many words in context. This is assessed in text completion and sentence equivalence questions. 

Scores for the Verbal Reasoning section range from 130 to 170, increasing by one point.

This section is important for assessing the candidate's speaking and analytical abilities, which are essential in academic and professional contexts.

The Quantitative Reasoning section of the GRE is designed to assess a candidate's mathematical reasoning and quantitative problem-solving abilities. This section includes two main question types: Problem Solving and Data Interpretation. 

Problem Solving

Problem solving questions assess candidates' ability to apply mathematical and engineering concepts and reasoning skills to solve practical problems. These problems can cover a variety of topics, including arithmetic, algebra, geometry, and data analysis.

• Format: Each problem-solving question is presented as a multiple-choice question with five answer options. Candidates must choose the correct answer based on their calculations and reasoning. 
• Objective: Measures the ability to understand and analyze quantitative information, apply mathematical concepts, and solve problems using a variety of mathematical techniques. 

Data Interpretation

Data Interpretation questions assess the  ability to interpret and analyze data presented in a variety of formats by different candidates, such as tables, tables and graphs. Questions may involve drawing conclusions, making comparisons, or identifying trends based on the data provided.

• Format: Data interpretation questions are often presented in sets, with multiple questions  based on a single set of data. Each question is a multiple choice question with 5 answer options. 
• Objective: Assesses the ability to interpret and analyze information presented graphically or numerically, make informed decisions based on data, and apply quantitative reasoning skills. 

Objective of the Quantitative Reasoning section

The Quantitative Reasoning section aims to evaluate candidates' skills in the following areas: 

Ability to understand, apply, and analyze mathematical concepts in various areas, including arithmetic, algebra, geometry, and data analysis.

Ability to solve quantitative problems using a variety of mathematical techniques and to select appropriate methods for different types of problems.

Ability to interpret and analyze data presented in a variety of formats, make connections between different pieces of information, and draw conclusions based on the data provided.

The Integrated Reasoning (IR) section is a unique component of the Graduate Management Admissions Test (GMAT) designed to assess a candidate's ability to integrate information from a variety of sources and solve complex problems. 

This section includes four question types: 

• Graphical Interpretation
• Table Analysis
• Multiple Source Reasoning
• Two-Part Analysis

Graphical Explanation

Graphic Explanation Questions presents a graph, histogram, or other visual representation of data. Candidates must analyze the information presented and answer questions related to interpreting and drawing conclusions from  graphical data.

• Format: These questions often have multiple parts and candidates may be asked to select multiple answer options or fill in the blanks to complete their answer.
• Objective: Assesses the ability to understand and analyze information presented graphically and to draw accurate conclusions based on  visual representations.

Table Analysis

Tabular Analysis questions involve a set of data presented in tabular form. Candidates must analyze the table, extract relevant information, and answer questions that may involve sorting, ordering, or performing calculations based on  data. 

• Format: Similar to graphical interpretation, table analysis questions may have multiple parts and the answer may require selecting multiple answer options or filling in the blanks.
• Objective: Assess the ability to analyze and interpret information presented in  tabular form and  use this information to answer complex questions.

Multi Source Reasoning

Multi Source Reasoning questions present information from many different sources, such as paragraphs of text, tables, graphs and other formats. Candidates must synthesize information from multiple sources to answer questions that involve drawing conclusions, making inferences, or solving problems. 

• Format: These questions may have multiple parts and candidates must select multiple answer options or fill in the blanks to complete their answer.
• Objective:  Assess the ability to synthesize information from different sources and  make reasoned judgments based on integrated data. 

Two-Part Analysis

Two-Part Analysis questions involve a complex problem or situation and require candidates to evaluate two identities and determine their relationships with each other. Statements may involve mathematical relationships, logical connections, or other types of analysis. 

• Format: Candidates should select answer choices that describe the relationship between  two statements, such as whether one statement provides enough information to answer a question based on the other statement. 
• Objective: Assesses the ability to analyze complex problems, consider multiple pieces of information, and determine the relationship between two statements.

Objective of the Integrated Reasoning section

The Integrated Reasoning section aims to assess candidates' abilities in the following areas: 

• Ability to Integrate and synthesize information from different sources, including charts, tables, text paragraphs, and other formats.
• Ability to analyze complex problems, draw conclusions, and make informed decisions based on integrated data.
• This section assesses quantitative and qualitative analysis skills, requiring candidates to perform mathematical calculations as well as interpret non-numerical information.