Midterm Research
Quiz yourself by thinking what should be in
each of the black spaces below before clicking
on it to display the answer.
Help!
|
|
||||
---|---|---|---|---|---|
When to use non-parametric statistics? | very severe violation of assumptions, DV is not interval or ratio level.
🗑
|
||||
Logic of hypothesis testing? | state the null
adopt an alpha level
test the null
reject or fail to reject the null.
🗑
|
||||
TWO ways that researchers can control for the effects of extraneous variables or turn them into control variables? | build the variable as a factor--sample the control for them by limiting the sample.
OR
Randomly assign and do ANCOVA.
🗑
|
||||
List the criteria for evaluating quantitative methods. | generalizability
control of error
minimize threats to internal and external valitidy
replicability
🗑
|
||||
Describe data interpretation approaches in single subject designs | visual inspection
statistics
🗑
|
||||
3 types of mixed methods. | simultaneous.
quan then qual.
qual then quan.
🗑
|
||||
Difference between true experiment and quasiexperiment | both have control of IV.
true is RANDOM assignment.
quasi is NOT random assighment
🗑
|
||||
Describe general procedures for organizing and “reducing” qualitative data | gather data, code transcribed data for categories, identify themes, determine the pervasiveness of themes, interconnect themes
🗑
|
||||
List several of the “units” of focus for qualitative research | roles, relationships, groups, organizations, habitats, subculture
🗑
|
||||
Types of qualitative sampling | representative, purposive (e.g., maximal variation), snowball
🗑
|
||||
Identify factors which influence the necessary sample size for a study | number of groups, desired power and alpha, desired effect size,
🗑
|
||||
CIPP evaluation model | Context (when where)
Input (what is going into the program)
Process (how does it happen)
Product (outcome--what do we get out of it)
🗑
|
||||
Practical significance | Effect Size needs to be above---0.25 to be considered practically significant
🗑
|
||||
Statistically significany | needs to be below .05 or .01.
🗑
|
||||
What does the ALPHA value measure? | tells you how many times out of 100 is acceptable to be due to chance. More than that--not statistically significant.
🗑
|
||||
Phenomenology | telling a story (narrative)
🗑
|
||||
Ethnography | studying a culture, a group
🗑
|
||||
Positives to Random Selection | Have the populations, the group you wanna study.
Then selects the random group.
Allows a lot of external validity (our sample reflects our population)
🗑
|
||||
Positives to Ramdom Assignment | Once you have your sample
Randomly assigning them to 3 groups
Benefits: controlled for extraneous variables
🗑
|
||||
APA definition of Evidence Based Practice | combination between research and clinical judgement. (must have literature and support from clinicians)
🗑
|
||||
Null Hypothesis | Stating that there is NO relationship between what you are studying.
🗑
|
||||
Alternative Hypothesis | Thinking that treatment A is better than treatment B. You may actually test the null hypothesis, but this is what you actually think.
🗑
|
||||
Sampling Error | Statistical analysis account for this, the sample group doesn't EXACTLY represent the actual population data.
🗑
|
||||
Sampling Bias | NOT OK. THIS IS BAD. Sampling Bias is when you organize a group to get the results you want
🗑
|
||||
Sample vs Population | Sample is a smaller group to represent the population.
🗑
|
||||
Ways to fix violations of "assumptions of independence" | treat the group as an individual
lower the alpha value to .01
(multiply the p value by 4)
🗑
|
||||
Types of Quantitative Sampling | Random
Stratified
Cluster
Convience
🗑
|
||||
What is random quantitative sampling? | I know the population, I pull randomly from the population
🗑
|
||||
What is stratified quantitative sampling? | My sample has the same representations (example:% white, % AA %hispanic) as the whole population
🗑
|
||||
What is cluster quantitative sample? | Randomly sample groups (example: classes at UAB.)
🗑
|
||||
What is convenience quantitative sample? | I sample who is in easy for me to sample. CANT generalize this. BAD NEWS!
🗑
|
||||
Standard Deviation and Variance both tell you... | how far ON THE AVERAGE out from the mean.
🗑
|
||||
Standard Deviation and Variance are difference because | Variance is square.
🗑
|
||||
VALIDITY |
🗑
|
||||
RELIABILITY |
🗑
|
||||
Positively Skewwed | the mean is being pulled higher....due to outliers
🗑
|
||||
Negatively skewwed | the mean is being pulled lower...due to the outliers.
🗑
|
Review the information in the table. When you are ready to quiz yourself you can hide individual columns or the entire table. Then you can click on the empty cells to reveal the answer. Try to recall what will be displayed before clicking the empty cell.
To hide a column, click on the column name.
To hide the entire table, click on the "Hide All" button.
You may also shuffle the rows of the table by clicking on the "Shuffle" button.
Or sort by any of the columns using the down arrow next to any column heading.
If you know all the data on any row, you can temporarily remove it by tapping the trash can to the right of the row.
To hide a column, click on the column name.
To hide the entire table, click on the "Hide All" button.
You may also shuffle the rows of the table by clicking on the "Shuffle" button.
Or sort by any of the columns using the down arrow next to any column heading.
If you know all the data on any row, you can temporarily remove it by tapping the trash can to the right of the row.
Embed Code - If you would like this activity on your web page, copy the script below and paste it into your web page.
Normal Size Small Size show me how
Normal Size Small Size show me how
Created by:
keh0008
Popular Miscellaneous sets