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scientific misconduct
fabrication, falsification, or plagiarism in proposing, performing, or reviewing research, or in reporting research results
fabrication
making up data or results and recording or reporting them
Falsification
manipulating research materials, equipment, or processes, or changing or omitting data or results such that the research is not accurately represented in the research record
Plagiarism
the appropriation of another person's ideas, processes, results or words without giving appropriate credit
how to limit miscinduct
peer reviews and replication are the two tools used to reduce misconduct
What are the rights of a subject?
-Right to privacy or non-participation
-Right to remain anonymous
-Right to confidentiality
-Right ti experimenter responsibility
Why are there subject rights?
Because of the misconduct that occurred in the past. The Tuskegee Syphilis Study is the big reason. It began in 1932. For 40 years poor black sharecroppers were studied to examine the progression of this disease, though treatment had been available since 1947
Elements of informed consent
1. research description
2. Risks
3. Benefits
4. Alternatives
5. Confidentiality
6. Compensation
7. Contacts
8. Voluntary participation and withdrawal
Ethical research
research ethics govern the standards of misconduct for scientific researchers. It is important to adhere to ethical principles in order to protect the dignity, rights, and welfare of research participants
Example of unethical research
Tuskegee Syphilis experiment
The holocaust
The Stanford prison experiment
The hippocratic oath
a creed that preaches no harm
Ethic codes
-Nuremberg Code (1947)
-Declaration of Helsinki (2000)
-Belmont Report (1979)
-CIOMS (2002)
-U.S. Common Rule (1991)
The Holocaust research and the Nuremberg code
Nazi doctors conducted as many as 30 different types of experiments on concentration camp inmates. The studies did not have the consent of the inmates and they suffered indescribable pain, mutilation, permanent disability, and even death. The Nuremberg codes were created after this so this would never happen again
IRB
Institutional Review Board. Committed to providing a comprehensive and compliant research with human subjects program for researchers, students, and potential human subjects
Belmont Report Principles
1. Respect for persons
2. Beneficence
3. Justice
Respect for persons
individuals should be treated as autonomous agents. Persons with diminished autonomy are entitled to protection
Beneficence
Persons are treated in an ethical manner not only by respecting their decisions and protecting them from harm, but also making efforts to secure their well-being. Beneficence = acts of kindness that go beyond strict obligation
Justice
equals ought to be treated equally
1. to each person an equal share
2. to each person according to individual need
3. to each person according to individual effort
4. To each person according to societal contribution
5. To each person according to merit
10 principles in a research study
1. Voluntary consent of the participant is absolutely essential
2. the experiment must be designed to bring fourth results that will benefit society and that cannot be obtained in any other manner
3. human experimentation should be based in animal research results as well as knowledge of the natural course of events, disease and problems
4. All unnecessary mental or physical harm should be avoided
5. when there is reason to believe that death or disability injury may occur, no experiment should be conducted
6. The degree of risk should never exceed the humanitarian importance of the problem to be solved
7. All precaution should be taken to protect subjects from even remote possibilities of injury of death
8. Only qualified personnel should be allowed to conduct experiments
9. The subject must be able to withdraw from the experiment at any time
10. The principle investigator must be ready to terminate the experiment at any stage if it appears that injury or death will result
Clinical trials Benefits
-Play an active role in heath care
-gain access to new research treatments before they are widely available
-Obtain expert medical care at leading health care facilities during the trial
-Help others by contributing to medical research
Clinical Trials Risks
-There can be unpleasant, serious, or even life-threatening side effects to experimental treatment
-The experimental treatment may not be effective for the participant
-The protocol may require more of their time and attention than would a non-protocol treatment, including trips to the study site, more treatments, hospital satays or complex dosage requirements
Sampling
group of participants in a study selected as being representative of a defined population
population
large group to which the results of a study conducted on a sample of that group may be generalized
Generalizability
ability to generalize results to different populations with the same characteristics in different settings
inference
a conclusion reached on the basis of evidence and resoning
Statistic
value representing a characteristic of a population
sampling
the act, process, or technique of selecting a suitable sample
Issues related to sampling
-Larger sample, more representative, but also may be too costly
-Selection may be flawed (taking easy way out)
-what kind of participants do you need: age, gender, trained or untrained... can you get permission, can you find enough
probability sampling
likelihood of any one member of a population being selected in known
non-probability sampling
likelihood of selecting one member of population being selected is not known
Random sampling
procedure for selection of participants for a study that provides an equal chance of selection for all members of the population
Systemic sampling
procedure for selection of participants for a study in which every nth individual on a list is selected
Stratified random sampling
selection procedure for participants in a study that provides an equal chance of selection for all members of purposeful divisions of the population
Cluster sampling
useful when the population to be studied is infinite, a list of members of the population is nonexistent, and the geographic distribution of the population is widely scattered
Convenience sampling
group of participants for a study selected because of readiness of popportunity
quota sampling
a non-probability sampling technique wherein the assembled sample has the same proportions of individuals as the entire population with respect to known characteristics, traits, or focused phenomenon
snowballing sampling
with this approach, you initially contact a few potential respondents and then ask them whether they know of anybody with the same characteristics that you are looking for in your research
Periodicity
bias caused by particular characteristics arising in the sampling frame at regular units
Sampling error
inclusion of participants in a study that result in a sample not representative of the population due to chance error
Issues with sampling error and sampling size
-the larger the sample, the smaller the sampling error
-big is good, appropriate is better
effect size
calculated value that serves as a relative index of the meaningfulness of results
Variance
if the sample has a large variance, measured by the standard deviation, the results you find may not represent what actually happened in your research
validity
cause and effect relationships:
-requires a logical process
-good theoretical framework
-use of appropriate subjects
-application of correct type of design
-Use of correct statistical model
-Proper selection and control of independent variable
-appropriate selectoin and measurement of dependent variable
-Correct interpretation of results
Measurement
a reference sample or standard used for the quantitative comparison of properties
2 keys in measurement
conceptualization and operationalization
conceptualization
the process of taking a construct or concept and refining it by giving it a conceptual or theoretical definition
operationalization
the process of taking a conceptual definition and making it more precise by linking it to one or more specific, concrete indicators or operational definitions. Usually have numbers in them that reflect empirical or observable reality
4 steps of measurement
1. the object to be measured is identified and defined
2. The standard to which the measured object will be compared is identified and defined
3. A comparison of the object to the standard is made
4. A quantitative statement is made of the relationship of the object to the standard
test
a measurement technique used to assess individual differences in various content areas
tests can be used to...
-help researchers determine the results of a study (impact or treatment)
-Provide diagnostic and screening information (CAT scan)
-Help in the placement process
-Assist in selection (tryouts)
-Evaluation of outcomes (grade)
Norm
compare individual's performance to test performance of other individuals
criterion
only specific level of performance is defined, only important issue is meeting this standard
desriptive research
studies that capture important characteristics of the participants without experimenter manipulation
paradigm
a scholar's set of assumptions about the world (past and present) , definitions of theory and data, and possible questions that can be pursued
Paradigm steps to historical research
1. Define topic or problem you want to investigate
2. if possible, formulate hypothesis
3. Utilize a variety of sources to accumulate data
4. Evidence must be evaluated for both authenticity and accuracy
5. Data needs to be synthesized or integrated to provide a coherent body of knowledge
6. Interpret resutls
Limitations in historical research
-Availability of data may be limited and out of control of researcher
-data is primary observations of others
-Research requires a long and arduous task
-Rigor is weakened by lack of instrumentation validity and reliability
Epistemology
(the science of knowing) the branch of philosophy that deal with nature, origin and scope of knowledge.
meta-analysis
a procedure that allows for the examination of trends and patterns that may exit in many different groups in many different studies
steps of meta-analysis
1. Identify a problem
2. Perform a literature search by specified means
3. Review identified studies to determine inclusion or exclusion
4. Read and evaluate to identify and code important study characteristics
5. Calculate effect size
6. Apply appropriate statistical techniques
7. Report all these steps and outcomes in a review paper.
Limitations to meta-analysis
-inclusion of poorly conducted studies in equation
-cost of conducting the study
-Criteria being used for including primary sources are difficult to agree upon
-incomplete data sets
Survey
technique of description research that seeks to determine present practices or opinions of a specified population; can take the form of a questionnaire, interview,, or normative survey
sampling error
the error caused by observing a sample instead of a whole population. The sampling error is the difference between a sample statistic used to estimate a population parameter and the actual but unknown value of the parameter
What to avoid when doing a questionnaire
-ambiguity and vagueness can easily plague a questionnaire
-avoid prestige bias. Occurs when a statement, position, or response is associated with a prestigious person or group. Respondents may answer on the basis of their feelings toward the person of group rather than addressing the insure.
-leading questions. Can lead a respondent to choose one response over another by its wording
-asking questions that are beyond the respondents' capabilities. Asking something that frustrates respondents will produce poor-quality responses
-double-barreled questions. Make each question about one and only one topic. A double-barreled question consists of two or more questions joined together
Precision
consistency in findings, if repeat survey you will see the same thing - reliable
bias
biased if one opinion if emphasized at the exclusion of another - valid
normative survey
survey method that involves establishing norms for abilities, performances, beliefs and attitudes
longitudinal research
research in which the same participants are studied over a period of years
cross-sectional studies
research in which samples of participants from different age groups are selected in order to assess the effects of maturation
Methodological issues with developmental research
-unrepresentative scores
-unclear semantics
-lack of reliability
Correlational research
research that explores relationships among variables and that sometimes involves prediction of a criterion variable
epidemiological research
the branch of medicine that deals with the study of the causes, distribution, and control of disease in populations
cohort studies
work from postulated cause to effect. Begin with a group of people and observe them over a period of time
Case-control investigations
start with a group of people who already have characteristics (health problem) and compare them with people without characteristic
Leading health indicators
-PA
-Overweight and obesity
-tobacco use
-substance abuse
-responsible sexual behavior
-mental health
-injury and violence
-environmental quality
-immunization
-access to health care
case study
form of descriptive research in which a single case is studied in depth to reach a greater understanding about other similar cases
descriptive studies
builds detailed picture of phenomena but does not attempt to test or build theoretical modules
interpretive studies
major focus is to interpret the data to classify and conceptualize the information and build theory
Evaluate
primary purpose is to use the data to evaluate the merit of some practice, program, movement, or event
types of case studies
descriptive, interpretive, and evaluate
Qualitative sample
purposive, small
qualitative setting
natural, real world
qualitative data gathering
researcher is the instrument
qualitative design
flexible, may change
qualitative hypothesis
inductive
qualitative data analysis
descriptive, interpretive
quantitative sample
random, large
quantitative setting
laboratory
quantitative data gathering
objective instrumentation
quantitative design
determined in advance
quantitative hypothesis
deductive
quantitative data analysis
statistical methods
issues with qualitative research
needs to be credible, transferable, dependable, and confirmable
experiment
a test under controlled conditions that is made to demonstrate a known truth, examine the validity of a hypothesis, or determine the efficacy of something previously untried
Causality
-the cause must precede the effect in time
-the cause and effect must be correlated withe each other
-the correlation between the cause and effect cannot be explained by another variable
MAXICON concept
maximize true variance, minimize error variance
internal validity
the extent to which change in the dependent variables can be attributed to manipulation of the independent variables
external validity
extent to which the results of the study can be generalized to the sample population
threats to internal validity
history
maturation
testing
instrumentation
statistical regression
selection bias
experimental mortality
Selection-maturation interaction
history
events occurring during the experiment that are not part of the treatment
maturation
processes within the participants that operate as a result of time passing (agin, fatigue...)