EXAM 1 NOTES Flashcards
research producers
produce research, design experiments, conduct experiments. This is useful for labs in undergrad, grad school, working in a lab, professors, research scientists
research consumers
Learning to evaluate and examine research that has already been conducted. This research can later apply to their work, hobbies, relationships, or personal growth, also learning whats credible and what isn’t
empiricism
Using systematic observations as the basis for conclusions
Scientists are empiricists
the theory data cycle
Theory -> Study design -> Hypothesis/Prediction -> Data
You can have multiple hypotheses for one theory
universalism
Scientific claims are evaluated according to their merit, independent of the researchers credentials or reputation. The same preestablished criteria apply to all scientists and all research. (even a student can do science; you dont need an advanced degree or position)
communality
Scientific knowledge is created by a community, and its findings belong to the community. Scientists should freely share the results of their work with other scientists and the public
disinterestedness
Scientists strive to discover the truth whatever it is they are not swayed by conviction, idealism, politics, or profit. Scientists should not be personally invested in whether their hypotheses are supported by the data. Scientists do not spin the story, instead, they accept what the data tell them. In addition a scientists own beliefs, income, or prestige should not bias their interpretation or reporting of results.
organized skepticism
Scientists question everything, including their own theories, widely accepted ideas, and ancient wisdom. Scientists accept almost nothing at face value.Nothing is sacred; they always ask to see the evidence.
basic research
Research whose goal is to enhance the general body of knowledge without regard for direct application to see practical problems. Ex: “Does stress influence memory?
translational research
Research that uses knowledge derived from basic research to develop and test solutions to real world problems. The middle ground between applied and basic research Ex: “Does a mindfulness intervention improve memory?” (lab-based experiment)
applied research
Research whose goal is to find a solution to a particular real-world problem Ex: “Does implementing a mindfulness intervention before class improve grades?” (experiment done in real class settings)
what is research better than?
personal experience, intuition and authorities
Personal experience has no comparison group and has lots of confounds
We are swayed by good stories
Availability heuristic (things come to mind based on what we see day to day, e.g., media influence), confirmation bias (seeking out evidence for things we already believe), and bias blind spot (thinking we are not as biased as we are). we are more likely to trust people in powers opinions
How does research remove confounds?
by using comparison groups
What does research is probabilistic mean?
Explains the majority of cases but never 100%. Therefore, if your personal experience differs from research, it doesnt mean it’s wrong
What are the best sources of information?
Scientific publications: Journal articles, chapters, and books
Empirical articles in science are peer-reviewed
Why is peer review important?
They provide a high level of credibility and reliability because they are articles that are read, evaluated, and reviewed by a group of experts with the same field of a related area of study.
measured vs manipulated
Measured, also known as dependent variable: observing something in the world
Manipulated: Experimenter changes something
construct vs operationalization
Construct: theoretical idea example: anxiety
Operationalization: lets you collect data example: number of times biting nails
What are the 3 claims, and explain them?
Frequency: Describes a particular rate or degree. One measured variable. Example: 39% of teens admit to texting while driving
Association: Two things are related, but one doesn’t cause the other. Two measured variables. Example: People who walk fast are less happy
Causal: one variable causes the other. Two variables: one measured and one manipulated. Example: Walking just 1,000 steps a day can help prevent depression.
Do experiments support causal claims?
Yes because one variable is manipulated and the other is measured
random assignment, and what does it help with?
A method of assigning participants to levels of the independent variable such that each group is as similar as possible. Increasing internal validity in causal claims
control variables, and what does this help with?
Keep other conditions the same across the levels of independent variable (location, activities, people)
Increasing internal validity in causal claims
What are the four main validities?
Construct: Are the variables measuring what you think they are measuring?
External: Do the results generalize to other people, times, or situations? Ex: Instead of punching kicking to relieve anger, would it have the same effect?
Internal: When a causal claim is made, have alternative explanations been ruled out?
Statistical: How well do the numbers support the claim? Correlation coefficient, confidence intervals
What validities are important for frequency claims?
External validity
Construct validity
Statistical validity
NO internal validity, only one variable