PSYC week 2 Flashcards
Define the basic elements of a statistical investigation.
- Planning the study: ask testable questions and pick a way to collect data (quant or qual)
- Examining data: appropriate ways to examine data, is the data reliability and validity
- Inferring from the data: valid statistical methods for drawing inferences “beyond” the data you collected?
- Drawing conclusions: does your conclusions apply to cause-and-effect
Describe the role of p-values and confidence intervals in statistical inference.
A
The p-values are to determine the probability of obsession in a sample
the confidence interval is an inferential statistic - not a descriptive statistic. As such it should only be used if certain assumptions (random sampling and normal distribution) are met.
Describe the role of random sampling in generalizing conclusions from a sample to a population.
Random sampling is a way to represent a population on equal terms so anyone has a chance to be picked.
It is being able to take a small group’s information and apply it on a bigger scale of the population.
Describe the role of random assignment in drawing cause-and-effect conclusions.
Random assignment is a probability method to divide samples into treatment groups.
random assignment tends to balance out all the variables related to creativity we can think of, and even those we don’t think of in advance, between the two groups.
Everything is equal and fair (both me and women are split equally in two sides both having the same numbers of genders
Critique statistical studies.
Whereas a statistical analysis can still “adjust” for other potential confounding variables, we are not yet convinced that researchers have identified them all or completely isolated why this decrease in death risk is evident
Articulate the difference between correlational and experimental designs.
In an experimental design, you manipulate an independent variable and measure its effect on a dependent variable.
Other variables are controlled so they can’t impact the results.
In a correlational design, you measure variables without manipulating any of them.
Understand how to interpret correlations.
Positive correlation = two variables going up and down together
Negative correlation =one of the two variables moving in opposite directions
A strong correlation the two variables
always, or almost always, go together.
Correlation does not mean causation
Understand how experiments help us to infer causality.
they let you control your conditions
Explain what a longitudinal study is.
It’s a study that tracks people over a period of time, which could be days, weeks, years, or decades.
It provides valid info for theories but takes a long time.
Gestalt Psychology
looking at the experience as a whole, believe you processed it simultaneously (not bit by bit) so you shouldn’t break it down
Probability value (p-value)
probability that results occurred by chance and are not correlated
Objective
unbiased, fact
Subjective
biased, opinionated
List a strength and weaknesses of different research designs
Ablt to get validity and reality on your theories
The amount of time it takes and how ethics comes into play.
Compare the strengths and limitations of “real-world” research and laboratory research
“Real-world” research- harder to establish causality, but more ecological validity because you found reflects real life and not a lab setting.
Laboratory research- easier to establish causality, but less ecological validity. What you find reflects lab settings, but sometimes not the real world.
Summarize some of the studies about daily experience (virtual and in-person), behavior (virtual and in-person), and physiology that are described in the reading assignment.
Tracking positive and negative experiences before a respiratory infection, and they found that negative experiences peaked 4 days before the cold showed symptoms.
Tracking using smartphones showed that people are happier when they are focused on a task.
Using EAR, they studied how talkative people are. And found that although Americans rate themselves on average more talkative then Mexicans rate themselves, Mexicans on average talk more than Americans every day.
Using EAR, they found that men and women are not significantly more talkative than each other.
Using Ambulatory assessment to show that people respond more intensely to real life stress than to laboratory created stress.
Using Ambulatory assessment to show that emotions can negatively impact the hearts of those with heart conditions.
Looking at blog posts, and figuring out that people changed how they talked in the 2 weeks after 9/11, but that after 2 weeks went by, people began talking the same as they did before it occurred.
Looking at blog posts, and seeing that people were very engaged in the conversation surrounding 9/11 for the 2 weeks after it occurred, but by 6 weeks after, they were not engaged.
Showing that people who have an “I voted” sticker on Facebook actually influenced their friends to vote.