Exam #1 Flashcards
Empiricism vs. skepticism +
Empiricism (empirical method/research)-using evidence from senses (sight, hearing, touch)/from instruments (thermometers, timers, photographs, weight scales, questionnaires) as the basis for conclusion - knowledge comes from observation.
-empiricists aim to be systematic, rigorous, to make their work independently verifiable by others observers or scientists
-most reliable basis for conclusions when compared with other forms of reasoning (experience/intuition)
Skepticism:
-philosophy that ideas must be evaluated on the basis of careful logic & results from scientific investigations
Hypothesis (or prediction) vs Theory (general) +
Hypothesis - It’s the specific outcome the researcher expects to observe from a particular study, if the theory is accurate.
Prediction: A guess at the outcome of a study
- Must follow directly from the hypothesis
- Needs to be testable
- Must include specific variables and methodologies.
Theory - set of statements that describes general principles about how variables (measured) relate to one another (on which the practice of an activity is based).
- Organize and explain past research
- Generate new knowledge
- Can be modified by new research
Variable vs Constant
Variable - an attribute that varies, having at least two levels, or values. There are 4 kinds of variable: dependent variable, independent variable, manipulated variable and measured.
E.g. “Knowing when news is fake” is the variable, and its levels are knowing when news is fake, and not knowing when fake.
Constant - an attribute that could potentially vary but that has only one level in the study in question.
E.g. “15% of Americans smoke,” nationality is not a variable because everyone in the study is American. In this example, nationality would be a constant.
association vs causal claims common verbs+
Association: tied/ linked to, relates, connected to, associated w
Causal: helps, enhances, increases, decreases
Positive association vs negative vs zero association+
Positive association is an association in which high goes with high and low goes with low;
E.g. - high rates of exercise go with higher levels of pay, and low rates of exercise go with lower levels of pay.
Negative association - high goes with low and low goes with high. E.g. - high rates of coffee go with less depression, and low rates of coffee go with more depression.
Zero association (or no association) - a lack of systematic association between two variables.
construct VS external VS statistical validities of frequency claims +
Construct validity refers to how well a conceptual variable is operationalized. When you ask how well a study measured or manipulated a variable, you are interrogating the construct validity—be it smiling, smoking, texting, gender identity, food insecurity, or knowing when news is fake. For example, when evaluating the construct validity of a frequency claim, the question is how well the researchers measured their variable of interest. Consider this claim: “39% of teens text while driving.” There are several ways to measure this variable.
External validity - an indication of how well the results of a study generalize to, or represent, individuals or contexts besides those in the study itself. e.g. Gallup researchers had simply asked people who clicked on the Gallup website whether they smiled yesterday, and 74% of them said they did, the researcher cannot claim that 74% of the entire world did.
Internal validity - Frequency claim has nothing to do with internal validity.
Statistical validity - The extent to which statistical conclusions derived from a study are accurate and reasonable. To understand statistical validity, it helps to know that the value we get from a single study is not an objective truth. Instead, it’s an estimate of that value in some population. E.g., for the report claiming that “39% of teenagers text while driving,” researchers interviewed a sample of about 9,000 teen drivers to estimate the behavior of the population of all U.S. teenage drivers.
construct VS external VS statistical validities of association claims+
Construct validity of association claim - a researcher measures two variables, so you have to assess the construct validity of each variable. For the headline “Study links coffee consumption to lower depression in women,” you should ask how well the researchers measured coffee consumption and how well they measured depression.
External validity - it’s asking whether it can generalize to other populations, as well as to other contexts, times, or places. For example, the association between coffee consumption and depression came from a study of women. Will the association generalize to men?
Internal validity - association claim has nothing to do with internal validity.
Statistical validity - considers how strong the estimated association is and how precise that estimate is, and it considers other estimates of the same association. Some associations —such as between education and income—are quite strong. People with bachelor’s degrees usually earn much more money than those with high school degrees—about 66% more income over a 40-year career.
construct VS external VS statistical validities of causal claims +
Construct validity of causal claim - Take the headline “Pretending to be Batman helps kids stay on task.” First, we could ask about the construct validity of the measured variable in this study. How well was “staying on task” measured? Then we would need to interrogate the construct validity of the manipulated variable. E.g. Was the costume and the question “Is Batman working hard?” the best manipulation of the construct, “pretending to be a hardworking hero”?
Internal validity - This is the priority! Was the study an experiment? Does the study achieve temporal precedence? Does the study control for alternative explanations by randomly assigning participants to groups? For example, to say “Pretending to be Batman helps kids stay on task” is to claim that pretending to be a hardworking hero like Batman
CAUSES increased persistence.
External validity - It is rarely prioritized in an experiment!! The study tested 6-year-old children from Minneapolis, Minnesota. Can this sample generalize to children from other states or other countries? Would it generalize to younger kids?
Statistical validity - To start, we would ask: How large was the difference between the groups? In this example, participants in the Batman condition persisted about 60% of the time, compared with 35% of the time for those in the self-immersed condition— nearly twice as long. That seems a large effect. We can also ask whether this study has been repeated—whether we can consider estimates from multiple studies over time.
Zimbardo’s prison experiment design; findings guards vs prisoners. + (main points)
Design - What the researchers did:
- Mock prison
- Randomly assigned ½ to be guards, ½ to be prisoners
How the participants responded (within days)
Guards treated prisoners poorly, inflicted punishment
Prisoners became rebellious or depressed
Zimbardo concluded that people quickly conform to social roles, even when the role goes against their moral principles. Furthermore, he concluded that situational factors were largely responsible for the behaviour found, as none of the participants had ever demonstrated these behaviours previously.
What are the ways that intuition is biased? +
1) present bias (Failing to think about what we CANNOT see), +
2) confirmation bias (Focusing on the evidence we like best), +
3) being swayed by a good story (accepting conclusion because it makes sense/feels natural), +
4) availability heuristic (Persuaded by what comes easily to mind) +
5) biased about being biased (blind spot: belief that we are unlikely to fall prey to other biases; Biases do not apply to me) +
Present bias? +
A bias in intuition, in which people incorrectly estimate the relationship between an event and its outcome, focusing on times the event and outcome are present, while failing to consider evidence that is absent and harder to notice.
E.g: expressed frustration-felt better, people text me when I think about them
Confirmation bias +
The tendency to consider only the evidence that supports our hypothesis, including asking only the questions that will lead to the expected answer. We “cherry- pick” the information we take in—seeking and accepting only the evidence that supports what we already think.
E. g. Those who were told in the study their IQ was low spent more time looking at articles that criticized the validity of IQ tests and vice versa.
availability heuristic?+
a bias in intuition, in which people incorrectly estimate the frequency of something, persuaded on instances that easily come to mind rather than using all possible evidences in evaluating a conclusion.
- Wrongly estimate how often something happens-vivid, memorable, recent events.
E.g: shark attacks seem frequent but are rare; students always use phones in class; number of Muslim women on campus (see wearing hijabs)-stand out
What are sections of APA paper?+
1) Abstract
-concise summary of article (120 words)
-briefly describes study’s hypothesis, method & major results
- helps you decide whether each article describes the kind of research you are looking for, or whether you should move on to the next article.
2) Introduction
-1st few paragraphs explain topic of study
-middle paragraphs lay out background for research: What theory is tested? What past studies found?
Why is study important?
-final paragraph states specific research questions, goals, or hypotheses for the current study
3) Literature review- meta analysis and it also tells about past studies (ask)
meta-analysis - A way of mathematically averaging the effect sizes of all the studies that have tested the same variables to see what conclusion that whole body of evidence supports.
- a statistical process that combines the data of multiple studies to find common results and to identify overall trends
4) Methods
-explains in detail how researchers conducted study
-contains info about participants, materials, procedure, apparatus
-gives enough detail, so that the study could be repeated without asking questions
5) Results
-describes quantitative & qualitative results of the study, including statistical tests used to analyze data
-provides tables & figures that summarize key results
6) Discussion
-1st paragraph summarizes research question & methods & indicates how well results of study
supported hypothesis
-discusses study’s importance
-discuss alternative explanations for their data & pose questions raised by research
E.g: new hypothesis, creative & unusual method to test a familiar hypothesis, unique participants
7) References
-full bibliographic listing of all sources the authors cited in writing their article; readers can locate studies/look for additional articles
What’s validity?+
refers to the appropriateness of a conclusion or decision, and in general, a claim is reasonable, accurate, and justifiable.
There are 4 kinds of validities: construct validity, external validity, internal validity and statistical validity.