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In American Advanced Placement exams, a document-based question (DBQ), also known as data-based question, is an essay or series of short-answer questions that is constructed by students using one's own knowledge combined with support from several provided sources.
Berger, Jack J.; The Staff of Research and Education Association (1997). AP Statistics: The Best Test Preparation for the Advanced Placement Exam. Research & Education Association. ISBN 0-87891-082-4; Hinders, Duane C. (2007). 5 Steps to a 5 AP Statistics, 2008–2009 Edition. McGraw-Hill Professional. ISBN 978-0-07-148856-3
Placement testing is a practice that many colleges and universities use to assess college readiness and determine which classes a student should initially take. Since most two-year colleges have open, non-competitive admissions policies, many students are admitted without college-level academic qualifications.
Choosing a research question is an essential element of both quantitative and qualitative research. Investigation will require data collection and analysis, and the methodology for this will vary widely. Good research questions seek to improve knowledge on an important topic, and are usually narrow and specific. [1]
A questionnaire is a research instrument that consists of a set of questions (or other types of prompts) for the purpose of gathering information from respondents through survey or statistical study. A research questionnaire is typically a mix of close-ended questions and open-ended questions.
The research objective(s) and frame-of-reference should be defined beforehand, including the questionnaire's context of time, budget, manpower, intrusion and privacy. The types of questions (e.g.: closed, multiple-choice, open) should fit the data analysis techniques available and the goals of the survey.
These devices offer innovative ways to gather data, and eliminate the laborious "data entry" (of paper form data into a computer), which delays data analysis and understanding. By eliminating paper, mobile data collection can also dramatically reduce costs: one World Bank study in Guatemala found a 71% decrease in cost while using mobile data ...
Data analysis is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users. [1] Data is collected and analyzed to answer questions, test hypotheses, or disprove theories. [11] Statistician John Tukey, defined data analysis in 1961, as: