Week 2 and 3 lecture: 7 steps to research process, issues; Research ethics: 3 core principals,3 lvls animinity Flashcards
What’s opting in and an example as well as what is minimal risk research?
Participant chooses to participate in study and can leave at any time such as SONA
Minimal risk: research experiment that has no more risks than a participant experiences in a given day
What’s a population and what makes defining one so hard?
Group of people/animals you want to make statements about
Hard because it’s hard to define population that has inherent limits
What is the best sampling procedure and the most common sampling procedure?
best sampling: random sampling
most common: convenience sampling
What kind of sampling is snowball sampling and how is it done and in what area is it commonly used? (think requiem for a dream)
type of None random sampling and is done by word of mouth to define their population. Used commonly in drug addiction (parents specifically) as one drug addiction parent usually knows another
What are the 7 steps to a research project (RDFWDAI) (come up with…, do some.., make a …, write out three.., make a what?, what do you do with results?, how you … results)
- Research area idea
- Discuss and think about research
- formulate hypotheses(testable question)
- Write out null and alternative hypotheses
- design a study
- Analyze results
- interpret results
What are 3 things your research area should be? (RIF)
- relevant
- interesting
- feasible
How do you find out if your inventory(study being used) is valid and reliable? (3 things) (dates, usage, comparison)
- look at its history,
who made it? - has it been used lots?
- has it been compared to other like inventory’s?
What two things must be conducted before starting a research expirement and why?
- manipulation check
- pilot study
Use these techniques to mitigate potential issues that could occur throughout study, and gives us a better experiment as a result as no opportunities for checks were missed.
What does it mean to analyze data?
Comparing scores and variances of different groups and conditions using statistics
what does a set alpha level calculate and how’s it represented?
Calculates probability of observed results happening by chance
P>…
If the significance of an experiment is p>0.49 what do we do? But if the alpha level is at p>0.50 or greater what do we do? (reject/fail to reject)
If p>0.49 (observed results happened less than 5/100) we reject null hypothesis, as more than 5 times out of 100 the observed results are happening by something systematic and not by Iv
IF p>0.50 or greater (more than 5 times of out of 100 observed results occurred) we fail to reject null as IV did change, and less than 5 times out of 100 regular occurred by something systematic. Not by cause of IV
Why do we only reject or fail to reject null hypothesis?
As we are never completely certain whether or not IV has an effect or not, so leave room for error
What is volunteer and participant bias and what kind of bias does it fall under ?
Failure to control for bias(falls under)
Volunteer bias- Volunteer is more motivated to join, different then general population
Participant bias- participant figures out study and gives you what they think you want
what’s experimenter and publication bias and what kind of bias do they fall under?
Fall under failure to control for bias
Expirement let bias- expirementer influences participants to get results wanted
Publication Bias-selective publication of study based on positive or negative results
What’s P-hacking and Harcking?
P hacking- changing significance of results manually to make something look significant when it’s not
Harcking- changing or making hypothesis after results are known