Summarizing means giving a concise overview of a text’s main points in your own words. A summary is always much shorter than the original text.
Writing a summary does not involve critiquing or analyzing the source—you should simply provide a clear, objective, accurate account of the most important information and ideas, without copying any text from the original and without missing any of the key points.
Writing a good research paper requires you to demonstrate a strong knowledge of your topic and advance an original argument. To convincingly communicate your ideas, you need a logical structure and a clear style that follows the conventions of academic writing.
When you’ve finished writing your paper, use this checklist to evaluate your work.
When you apply for graduate school, you’ll usually be asked to submit a resume or CV along with your application. A graduate school resume should give a focused, concise overview of relevant experiences and achievements.
The exact sections you include depend on your experiences and on the focus of the program you’re applying to. Ensure your resume gives full details of:
Your college education
Relevant work experience
Relevant voluntary and extracurricular experience
Any awards, honors, publications, or other relevant achievements
Any relevant skills, certifications, and memberships
The main difference from a regular resume is that you’ll put more emphasis on your education and academic interests to show that you’re a good candidate for graduate school.
Download the Word templates and adjust them to your own purposes.
When you conduct research about a group of people, it’s rarely possible to collect data from every person in that group. Instead, you select a sample. The sample is the group of individuals who will actually participate in the research.
To draw valid conclusions from your results, you have to carefully decide how you will select a sample that is representative of the group as a whole. There are two types of sampling methods:
Probability sampling involves random selection, allowing you to make strong statistical inferences about the whole group.
Non-probability sampling involves non-random selection based on convenience or other criteria, allowing you to easily collect data.
You should clearly explain how you selected your sample in the methodology section of your paper or thesis.