Daily Content

dailycontentpage.text

RESEARCH TERMS

1. **Population** is the entire group of objects about which information is wanted.

2. A **sample** is a part or subset of the population used to gain information about the whole.

3. A **sampling frame** is the list of units from which the sample is chosen.

4. **Convenience sampling** refers to selections of whichever units of the population, not necessarily random, that are easily accessible; samples obtained in this way are often not representative of the population and can lead to misleading conclusions about the population.

5. **Biased** is the term for when a sampling method produces results that consistently and repeatedly differ from the truth about the population in the same direction.

6. **Simple random sample (SRS) of size n** refers to a sample of n units chosen in such a way that every collection of n units from the sampling frame has the same chance of being chosen. It is fair or unbiased.

7. **Table of random digits** is a list of the ten digits like 0, 1, 2, 3, 4, 5, 6, 7, 8, and 9 having the following properties:

a. The digit in any position in the list has the same chance of being any one of 0, 1, 2, 3, 4, 5, 6, 7, 8, or 9.

and b. The digits in different positions are independent in the sense that the value of one has no influence on the value of any other.

8. A **parameter** is a numerical characteristic of the population. It is a fixed number, but we usually do not know its value.

9. A **statistic** is a numerical characteristic of the sample. The value of a statistic is known when we have taken a sample, but it changes from sample to sample. Put simply, parameter is to population as statistic is to sample. Example: If out of 1,220 people, 1098 of this sample size responded "yes" to a question, then p equals 1,098 of 1,220 equals 0.90. It is reasonable to use this proportion p equals 0.90 as an estimate of the unknown population proportion p. But if a second sample size of 1,220 were taken, it is almost certain that there would not be exactly 1,098 positive responses. So the value of p will vary from sample to sample. This is called sampling variability.

10. A **probability sample** is a sample chosen in such a way that every unit in the sampling frame has a known non-zero chance (or probability) of being chosen.

This home study review covers the Bachelors, Masters, and Clinical licensing ASWB exams using multiple choice questions, case studies, and other interactive study materials. This is an extremely difficult exam that will require your dedication, commitment, and practice. The review material on www.socialworkexam.com can help you achieve your goal of passing the exam by providing the motivation and tools you will need. Our site is also appropriate to use to study for the California national clinical social work exam.

Licensure Exams, Inc. and www.socialworkexam.com are NOT affiliated or associated with the Association of Social Work Boards (ASWB), formerly known as the American Association of State Social Work Boards (AASSWB). ASWB does NOT endorse or provide information to this social work licensing examination review program.

If you need national social work exam test requirements and test dates, contact the ASWB which administers the national social work licensing exams. Information regarding qualifications for these exams may be found on ASWB's website at www.aswb.org. Only they can give you OFFICIAL and CURRENT answers to your important questions. American Association of State Social Work Boards, AASSWB, Association of Social Work Boards, and ASWB are registered trademarks belonging to the American Association of State Social Work Boards.

All Rights Reserved.

Site developed by Dylan Hunt

© 2021 - Licensure Exams, Inc.