Term
Institutional Review Board (IRB) |
|
Definition
Boards established at colleges/universities, and federal government agencies responsible for conducting research
Reviews proposed research involving data coming from human participants
Look at: research risks benefits proposed method the degree of risks to human participants |
|
|
Term
Institutional Review Board (IRB) Looks For: |
|
Definition
research risks benefits proposed method the degree of risks to human participants |
|
|
Term
Why is the Belmont Report important? |
|
Definition
Respect (informed consent)
Beneficence (the benefits outweigh the risks)
Justice (selection of participants) |
|
|
Term
|
Definition
Exempt Review
Expedited Review
Full Review |
|
|
Term
|
Definition
The program or components of a program that you plan to use to create change.
Refers to a study designed to test a hypothesized cause effect relationship by modifying a supposed causal factor in a population |
|
|
Term
|
Definition
Example: FIRST GRADERS who take art classes 4 TIMES A WEEK demonstrate higher CREATIVITY |
|
|
Term
|
Definition
A group of beings to whom an experimental stimulus (independent variable) is administered and who should resemble the control group in all other aspects.
Also known as the Treatment or “Intervention” group |
|
|
Term
Example Experimental Group |
|
Definition
FIRST GRADERS who take ART CLASSES 4 TIMES a week. |
|
|
Term
|
Definition
A group of subjects not exposed to the experimental stimulus (independent variable) and who resemble the experimental group in all other aspects
Also known as placebo group |
|
|
Term
|
Definition
FIRST GRADERS who took NO ART CLASSES score lower on creativity test. |
|
|
Term
|
Definition
Primary Sources
Secondary Sources |
|
|
Term
|
Definition
Interviews
Surveys
Direct observation |
|
|
Term
|
Definition
|
|
Term
|
Definition
Researchers depend on:
Reliability
Validity
to verify the effectiveness of measurement procedures used in research methodology/design |
|
|
Term
|
Definition
The consistency of your measurement
The degree to which an instrument measures the same way each time it is used under the same condition with the same subject |
|
|
Term
|
Definition
I place a 40-pound suitcase on a reliable scale, so I expect to see the scale read “40” every time I weigh that suitcase |
|
|
Term
|
Definition
Test-Retest
Inter-Rater
Internal Comparison or Consistency |
|
|
Term
|
Definition
Relationship between the scores a person achieves when he/she takes the same test more than once at different times. |
|
|
Term
|
Definition
Relationship between the scores noted by two observers watching the same behavior |
|
|
Term
Internal Comparison or Consistency Reliability |
|
Definition
Consistent responses to similar questions
Is the construct being measured accurately |
|
|
Term
|
Definition
The quality of a measurement tool that suggests the tool accurately reflects the concept that it is intended to measure
The use of two different measures of the same thing that leads to the same results |
|
|
Term
|
Definition
Internal/External
Face/Content |
|
|
Term
|
Definition
The extent to which results can be determined accurately. |
|
|
Term
Example Internal Validity |
|
Definition
Think INSIDE the experiment
Is your experiment so well designed that when the results are in, you feel confident that you can make truthful and definite statements about what happened in your study? |
|
|
Term
|
Definition
The extent to which the results can be generalized to populations, situations, and conditions |
|
|
Term
Example of External Validity |
|
Definition
Think OUTSIDE the experiment
Can your results be generalized to people outside of your study?
Whether this is high/low depends on what you are studying and what your participants are like |
|
|
Term
|
Definition
Requires that your measure appears relevant to your construct to an innocent bystander, or more specifically, to those you wish to measure |
|
|
Term
|
Definition
Similar to face validity
However, rather than asking your target population of interest, you must ask experts in the field |
|
|
Term
|
Definition
if you tell people you are measuring their attitudes, but your survey asks them how much money they spend on alcohol, they may think you have lied to them about your study |
|
|
Term
Example of Content Validity |
|
Definition
A survey that assesses attitudes should be reviewed by an expert in the field to make sure that you address nuances in the construct that may be rare or elusive |
|
|
Term
|
Definition
Longitudinal Nature of human beings |
|
|
Term
Longitudinal Threats to Validity |
|
Definition
Events Maturation Attrition |
|
|
Term
Human Nature Threats to Validity |
|
Definition
Cultural need to please (social desirability)
Something fundamentally different about your particular experimental group |
|
|
Term
|
Definition
The act of, process, or technique of selecting a suitable sample, or representative part of a population for the purpose of determining parameters or characteristics of the whole population |
|
|
Term
What is the purpose of sampling? |
|
Definition
To draw conclusions about populations by observing only a portion (or sample) of the population.
To do this however, we use inferential statistics An appropriate sample becomes as representative as possible of the population under study |
|
|
Term
|
Definition
A branch of statistics that consists of
generalizing from samples to populations
performing hypothesis testing
determining relationships among variables
making predictions |
|
|
Term
|
Definition
Subset studied is typically called a sample
A subset of the population |
|
|
Term
|
Definition
The group of people (or animals) that a research question refers to
In some cases, the population can be easily studied. Example: biographical studies of American presidents
In most real-world research scenarios, we cannot study the population per se
Instead, we typically study a subset of the population |
|
|
Term
Factors Determining Sample Size |
|
Definition
Who is the study population
Funding availability
Nature of the analysis to be performed
Desired precision of the estimates one wishes to achieve (the more you have the better)
The kind and number of comparisons that will be made. (Ex. Ethnicity, gender…)
Number of variables that will be examined simultaneously |
|
|
Term
|
Definition
Simple Random
Cluster
Systematic
Convenience
Stratified
Snowball |
|
|
Term
|
Definition
Every individual has an equal chance of being selected
Individuals are assigned a number, and a table of random numbers is used to identify the selected numbers for the sample |
|
|
Term
|
Definition
Every 5th/nth individual is chosen
This is quicker but not everyone has an equal chance to be included
The first number could be chosen at random |
|
|
Term
|
Definition
Useful for heterogeneous populations
Heterogeneity in the population is represented in the strata
You achieve proportional representation of the whole population
We could stratify by:
Gender Region Nonprofit Subsector |
|
|
Term
|
Definition
Define your strata (e.g., nonprofit subsector)
Divide your large pool of subjects into several groups (strata), and then . . .
Randomly select subjects from within each group
The number of subjects selected from each group is fixed by design (and reflects the strata proportions in the population) |
|
|
Term
|
Definition
Each stratum can be weighted to reflect the heterogeneity of the population
An alternative to a simple random sample that provides more precision when your population is heterogeneous |
|
|
Term
|
Definition
Some populations occur naturally in groups or clusters
Can be chosen at random
Identify clusters in the population, and then picking some or all of the units from the selected cluster for research |
|
|
Term
Example of Cluster Sample |
|
Definition
We want to study poverty in SD County
We can’t study the whole county so we break the county into neighborhoods and randomly select people in each neighborhood |
|
|
Term
|
Definition
Also called haphazard or accidental
Using people who are:
captive audience happen to be walking by show a special interest in your research |
|
|
Term
Example of Convenience Sample |
|
Definition
People who call in to see if they qualify for a study
First 100 people we meet on the street
Volunteer college students
First 50 people who come into your organization |
|
|
Term
|
Definition
Also called network, chain, or repetitional
Begins with a few people or cases then gradually increases the sample size as new contacts are mentioned by the people you started out with |
|
|
Term
|
Definition
Define
The property by which a behavior, a theory can become the property of larger groups, or contexts |
|
|
Term
|
Definition
Systematically favoring certain outcomes |
|
|
Term
|
Definition
Interviewing only people who have telephones and leaving out people who don’t have phones |
|
|
Term
|
Definition
Or randomization, chance determines the assignment of treatments
Control known biases, increase generalizability |
|
|
Term
Example of Random Assignment |
|
Definition
Use a computer software to generate group assignment
Use table of random numbers (book) |
|
|
Term
|
Definition
A variable or factor that creates differences between the comparison groups and affects the result |
|
|
Term
|
Definition
Cigarette smoking, and drinking coffee associated with developing lung cancer
A lot of people who smoke also drink coffee |
|
|
Term
|
Definition
Initial measurement against which future measurement is compared
Measurements taken on participants before the treatment is applied |
|
|
Term
|
Definition
Body Mass Index (BMI) scores taken to participants before exercising/dieting |
|
|
Term
|
Definition
It’s an EDUCATED guess about the phenomenon being studied
"Educated" means beyond mere speculation
A translation of information gathered from theories, other research, and casual observation |
|
|
Term
|
Definition
Profit sharing increases the productivity of employees |
|
|
Term
|
Definition
A description or set of criteria for defining a variable or condition with objectivity |
|
|
Term
Example of Operational Definitions |
|
Definition
The operational definition of an obese person could be one who weighs more than 120% of his or her “ideal weight” as defined by an insurance company chart |
|
|
Term
|
Definition
Who
What
Where
When
How Often
How many |
|
|