Research Design Interactive Presentation Biomedical Innovation 2011 Project Lead The Way, Inc. Directions To move forward, click this arrow at the bottom right of the screen. To go back, click this arrow at the bottom
left of the screen. To answer a question, click the button with the correct answer. A B C D Two Main Types of Research Design Experimental Studies Studies that involve the control and
manipulation of variables Observational Studies (i.e., quasiexperimental studies) Studies that involve the observation of individuals or the measurement of certain outcomes. No attempt is made to affect the outcome (e.g., no treatment is given). Experimental and Observational Studies Both experimental and observational
studies aim to determine the cause(s) for natural phenomena. Once the research question has been defined, the next step is to determine which type of research design will provide you with the most accurate answer for the type of question you are asking. Experimental Studies Experimental studies are conducted in controlled conditions that allow the
researcher to minimize bias and obtain valid, reliable results. All variable measurements and manipulations are under researcher control. For this reason, experimental studies are considered the gold standard of research methodology. Observational Studies Observational studies are considered less invasive than experimental studies because they do not require a change of the environment.
Observational studies are used when experimental studies are not ethically possible (e.g., when studying the association between a risk factor and a disease). Observational studies include many variables that are not under researcher control and therefore are not considered as effective in answering research questions as experimental studies. Difference Between Experimental and Observational Studies: Another key difference between
experimental and observational studies is that experimental studies test for causal relationships while observational studies can only test for correlation. Causal Relationship: A relationship in which one variable can be said to be the cause of another. Correlation: The degree of relationship between two different variables. Correlation vs. Causation
Note: Correlation does not mean causation. This means that just because two variables are related, it does not mean that one variable causes the other. Example: There is a strong positive relationship, or association, between men who use hair growth products and men who have hair loss. This does not mean that hair growth products cause hair loss. The only way to determine whether one variable causes another variable is to conduct an
experimental study. Purpose of Different Study Designs Researchers design experimental studies whenever possible. Many times ethical considerations require that an observational study be performed instead of an experimental study. For example, observational studies are the only option where the variable being tested may be harmful. If a researcher wants to study the relationship between HPV and
cervical cancer, it would be unethical to administer the virus to an experimental treatment group and compare their clinical outcomes with a control group. Therefore, an observational study would be necessary to study this relationship. Observational studies are often used in epidemiological studies, psychological studies, and sociological studies. Types of Observational Studies Cohort Studies (i.e., longitudinal studies) Prospective cohort studies Retrospective cohort studies
Cross-Sectional Studies Cohort Study A research study that compares a particular outcome (such as lung cancer) in groups of individuals who are alike in many ways but differ by the variable the researcher is studying (e.g., female nurses who smoke compared with those who do not smoke)
Cohort Studies Prospective Cohort Study: Outcomes have not yet occurred as study begins Not always feasible as they take considerable time, money, and resources to complete; and they require a large number of subjects Example: Track a group of people with and without a risk factor through time to observe who develops the disease Retrospective Cohort Study: Outcomes
have already occurred as the study begins Example: Review old medical records of a group of people with and without a risk factor and determine who developed the disease from birth to death Cross-Sectional Study A research study that involve multiple observations (e.g., an interview or questionnaire), which may be useful to determine how variables affect each other at the same time and period.
Example: Questionnaire to determine how income is related to weight Cross-sectional studies can also provide a snapshot of the frequency and characteristics of a disease in a population at a particular point in time. Test For Understanding Go to the following website and read a brief synopsis of an observational study
conducted by the Womens Health Initiative: http://www.nhlbi.nih.gov/whi/os.htm What type of observational study was conducted? A B C Prospective Cohort Study Retrospective Cohort Study
Cross-Sectional Study Very Good! You are ready to move on to the next topic. SORRY! Go Back and Try Again A retrospective study follows a cohort back in time. This study followed more than 93,000 postmenopausal women forward in time for eight years.
SORRY! Go Back and Try Again A cross-sectional study takes place at a single point in time. This study followed more than 93,000 postmenopausal women for a period of eight years. Experimental Studies In PBS you investigated the effect of the fight or flight response on heart rate. In HBS you investigated the effect of different factors of muscle fatigue. In MI you
learned how clinical trials are designed to assess the safety and efficacy of experimental treatments. All of these have one thing in common they are all examples of experimental studies. Experimental Studies Research studies conducted to determine the effect that one variable has upon another variable. Researcher maximizes control over as many aspects
of the environment as possible in order to prove causation. Researcher designs studies that are reliable and valid. Reliable: A study in which another researcher can perform exactly the same experiment and generate results with the same statistical significance. Valid: A study in which the results accurately describe the real world. Validity
Researchers design studies that minimize or eliminate systematic errors, or biases, in the data collection process. Valid studies allow scientists to generalize conclusions from a given study to the real world. Biases can be minimized through the following: Control groups Randomization Blinding
Controlled and Randomized Studies Controlled Study: One group receives the treatment and another group does not. Randomized Study: The control group and treatment group are chosen at random. Blinding As you learned with clinical trials, blinding (when performing studies involving humans) allows researchers to eliminate
bias that participants or investigators have introduced by having knowledge of the treatment or control conditions in an experiment. Single-blind Double-blind Triple-blind Single-Blind The participant does not know whether he or she has been allocated to a treatment
or control group. Identifies the placebo effect, where participants in the control group of an experiment exhibit some of the effects of the treatment because they think they are receiving the treatment. Double-Blind Neither the participant nor the researcher knows whether the participant has been allocated to a treatment or control group.
If a researcher knows that a participant is going to receive a treatment, they may act more cautiously than if they were administering a control. Triple-Blind Neither the participant, the researcher, nor the response gatherer knows whether the participant has been allocated to a treatment or control group. Prevents the response gatherer (i.e., the
person responsible for observing and measuring data in an experiment) from being influenced by membership knowledge of the treatment and control groups. Confounding Variables In order to ensure valid results, the researcher must eliminate any confounding variables that might affect the results of the experiment. Confounding Variable: A variable that was
not accounted for in the experimental design, varies systematically with the dependent variable, and prevents a clear interpretation of the effect of the independent variable on the dependent variable. Example of a Confounding Variable A soccer coach wanted to determine whether vitamins would improve the teams playing ability, so the coach set up an experiment. The coach assigned the offensive players into the experimental group and gave the players
vitamins. He assigned the defensive players into the control group and gave them a placebo. The offensive players also ran an extra two miles a day. At the end of the two week study, the coach noted that the offensive players were playing significantly better than the defensive players. What are the confounding variables in this experiment? What should the coach have done differently to ensure validity?
Because of the design of the experiment, there is no way to determine whether the change in performance is due to the vitamins, running two extra miles a day, or the inherent difference between the offensive and defensive players. Both of these (running an extra two miles a day and assignment of players to an experimental group and control group) are confounding variables. What should the coach have done differently to ensure validity?
Test For Understanding Answer Conclusion question 1 on Project 2.1.1 Scientific Research. Once you have completed this question, you may proceed to the next slide. Test For Understanding When the experimenter evaluates the outcome of a study without knowing which participants were in the experimental
versus control group and the participants and data gatherers are also unaware of group assignments, then the study is said to be A B C Retrospective Randomized Triple-Blind
Very Good! You are ready to move on to the next question. SORRY! Go Back and Try Again A retrospective study follows a cohort back in time. This is a controlled, experimental study where all individuals involved did not know who was assigned to the experimental group and who was assigned
to the control group. SORRY! Go Back and Try Again A randomized study is an experimental study where the participants are randomly assigned to the control group or the experimental group. Although this is a controlled, experimental study, no mention of how participants were assigned to groups was mentioned.
Experimental vs. Observational Study? Why would a researcher choose to perform an experimental study instead of an observational study? Experimental Study An experimental study would allow the researcher to determine a causal relationship between the independent variable and the dependent variable. The
subject the researcher is studying must allow the researcher to design a controlled environment where all confounding variables are eliminated. Test For Understanding A researcher wants to study the relationship between diet and the occurrence of breast cancer. Which type of study should the researcher conduct? A
B C Cohort Study Cross-Sectional Study Experimental Study Very Good! You have now completed the Research Design Interactive Presentation.
SORRY! Go Back and Try Again A cross-sectional study only involves a single observation that is useful if an immediate response to a specific question is required. Because of the nature of determining the relationship between diet and the occurrence of breast cancer, following a cohort group throughout a long period of time is the best choice to determine correlation. Unfortunately, this type of study will not allow the researcher to determine whether the relationship between diet
and the occurrence of breast cancer is causal. SORRY! Go Back and Try Again An experimental study is only possible if the researcher can control the environment. Because of the nature of this study, there is no way that the researcher can conduct an experimental study. Following a cohort group throughout a long period of time is the best choice to determine correlation. Unfortunately, this type of study will not allow the researcher to
determine whether the relationship between diet and the occurrence of breast cancer is causal.
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