Exam 3 Flashcards
_______ _____–The population the researchers would like to sample from because this is the group they are interested in generalizing to.
Theoretical population
______ _______–The population that is accessible to the researchers.•Example –A researcher wants to generalize to urban homeless older adults (i.e., 60+ years old) in the USA (i.e., theoretical population). It would be impossible to find an accurate listing of this population. Even if alist were accessible, the researcher would probably not have the resources to conduct research on a national sample. The accessible population might be homeless older adults (60+ years old) in five cities inthe USA.
Accessible population
______ is the group of people who are selected to be in the study.
•The _____ is more than just the group of people who are actually in the study because:
- The researchers may not be able to contact or recruit all of the people they want to sample.
- Some participants may drop out during the study.§Some participants may not have complete information.
Sample
______ ____–A listing ofthe accessible population from which the researchers will draw the sample. It is important to explain in detail how the sample will be contacted to assure representativeness.
Sampling frame
_______ is the group that actually completes the study and is used in the data analyses.
Subsample
Another option–The researcher could identify the area code and all three-digit prefixes within that area code and then draw a sample by randomly dialing numbers (i.e., __________). Thus, the sampling frame is not a list per se, but a procedure that isfollowed.
random-digit-dialing
______ _____ Any method of sampling that utilizes some form of random selection.
PROBABILITY SAMPLING
____ ____ ___
-Any form of sampling not based on random selection.
-It is most appropriate when the researcher wants to study sensitive,
relatively low frequency events. It is also useful in qualitative
research and/or when generating hypothesis or theories.
NON PROBABILITY SAMPLING
______ ______
Advantages
§ Simple to accomplish
§ Easy to explain to others
§ Because it is a fair way to select a sample, it is reasonable to generalize the results from the sample back to
the population.
Disadvantages
§ Not the most statistically efficient method of sampling
§ May not get good representation of subgroups in a population
Probability sampling – W (advantages and disadvantages)
____ ____ – Every individual in the population has the same chance of being selected.
Random selection
_____ _____ ____ – Each member of the population has an equal and
independent chance of being selected to be part of the sample.
• Procedure: The researcher uses a table of random numbers, a computer random
number generator, or a mechanical device (e.g., bingo ball, power ball) to select the
sample.
§ Example – Researchers want to study all seniors at CSUN and UCLA (i.e., accessible population) and
generalize to all public university seniors in Los Angeles (i.e., theoretical population). First, the sampling frame is identified (computer generated list of CSUN and UCLA seniors). Next, the size of the sample is determined (e.g., 500). Next, the sample must be selected.
o A list of seniors could be printed, cut into strips, put into a hat, and mixed up. Then 500 names are
drawn from the hat. This procedure would be tedious, and the quality of the sample would depend on how thoroughly the names were mixed up and how randomly the person reached into the hat. A better option would be to put the list of seniors into an Excel spreadsheet, have Excel randomly assign numbers to the seniors, sort the column by number, and then select the first 1000 seniors.
Simple random sampling
____ _____ _____ (also called proportional or quota random sampling) – The profile of the sample matches the profile of the population on some specific characteristic (e.g., gender, ethnicity, age). Specifically, the population is divided into homogeneous subgroups (i.e., stratums), and then a
simple random sample of each subgroup is taken.
o Example – The population of students at a school in the South consists of 4 primary groups: Caucasian
(80%), African-American (10%), Asian (5%), and Latino (5%). If 100 students are chosen using simple random sample method, then it is likely that around 80 Caucasians, 10 African Americans, 5 Asians, and 5 Latinos will be randomly selected (+/-). If the researchers want to compare the groups, larger numbers within the three minority groups will be needed. So, the researchers randomly select 25 from within each group (i.e., 25 Caucasians, 25 African Americans, 25 Asians, and 25 Latinos).
Stratified random sample
Stratified random sample (also called……………………. )
proportional or quota random sampling
________________ – Sometimes the population is disbursed across a wide geographic region; which could make it time consuming and expensive to sample participants. Hence,
the population could be divided into clusters (i.e., geographic regions), and then a
random selection of clusters could be conducted and each unit with the cluster
could be sampled.
• Example – Researchers want to survey municipal employees in Texas. Instead of
randomly selecting municipal workers across the whole state, the researchers randomly select seven municipalities in the state, and then interview each employee at the seven municipalities.
Cluster (area) random sampling .
___________ – A combination of the aforementioned sampling methods. In many applied social research studies, more complex sampling methods are used.
• Two-stage sampling example – Seven municipalities are selected in Texas (cluster sampling), and then
employees at each of the seven municipalities are randomly selected to be interviewed (simple random
sampling).
• Three-stage sampling process example – Randomly select 20 school districts from a national sample of
school districts. Within selected districts, a stratified random sample of schools is taken (one high SES, one middle SES, one low SES). Within schools, a simple random sample of classes is taken, and then each student in those classes is surveyed.
Multi-stage sampling
NON PROBABILITY SAMPLING
-Advantages –Low cost and time and convenient
-Disadvantages – Biased and difficult to generalize to the overall
population.
..
_____ _____ is conducted with a purpose in mind (e.g., a researcher wants to study one or more predefined groups). In other words, the sample consists of subjects chosen because the researcher believes they are uniquely able to provide specific information and/or meet certain selection criteria.
• Example – Market researchers or pollsters in public setting who are stopping people and asking if they can
interview them. They examine people passing by and try to recruit those who they believe fit specific criteria
(e.g., Caucasian women who are 40-50 years of age).
Purposive sampling..
_______________ refers to sampling the most frequent case or the typical case.
§ It is difficult to know what the typical or ____l case is. Hence, modal instance sampling is only reasonable for informal sampling contexts.
§ E.g., Many informal public opinion polls interview the typical voter; although the criteria to select the “typical” voter may not be accurate.
Modal instance sampling ..
_________ involves surveying a group of individuals with known or demonstrable experience and expertise in some area.
§ Expert sampling can be used to gain insight into a specific topic (e.g., policy, cultural fad), to evaluate
measures to be used in a study, to provide evidence for the validity of another sampling approach (e.g., modal sampling), etc.
Expert sampling..
________– Participants with certain characteristics are nonrandomly selected until a ____ is filled. One problem is deciding on the specific characteristic(s) on which the ____ will be based (e.g., gender, age, education, race, religion).
Quota sampling ..