K2/evening Senior Seminar students - it's that time again. Time to post your second blog-comment status update about the progress of your research. (Try to contain your excitement.)
You've all been working very hard, and the end is in sight (April 7th). Hurrah! You should be done, or close to done, with your data collection and have begun to enter and/or analyze your data. Then comes the fun part! (Seriously.) Finding out whether or not your hypothesis is true, finding out the answer to your research question.
I look forward to reading your comments. As you did before, post them in the "comments" section of the blog.
Friday, January 15, 2010
K2/Evening Senior Seminar Students, blog assignment #1 (due Feb 10th)
Students enrolled in my K2/evening section of Senior Seminar (which meets Wednesdays at 4:30pm) should post here a status update re: where they're at with their proposal. Proposals are due next week, so at this point you (the student) should have a solid idea of what-all your study will entail.
Post an update - correct spelling and grammar, please - in the "comments" section. I look forward to reading your updates.
If someone raises an issue that I think is applicable to everyone, I'll post a reply for all to read.
Good luck!
Post an update - correct spelling and grammar, please - in the "comments" section. I look forward to reading your updates.
If someone raises an issue that I think is applicable to everyone, I'll post a reply for all to read.
Good luck!
K1 Senior Seminar Students, blogging assignment #2 (March 24th)
It's that time again. Time to post your second blog-comment status update about the progress of your research. (Try to contain your excitement.)
You've all been working very hard, and the end is in sight. Hurrah! You should be done, or close to done, with your data collection and have begun to enter and/or analyze your data. Then comes the fun part! (Seriously.) Finding out whether or not your hypothesis is true, finding out the answer to your research question.
I look forward to reading your comments. As you did before, post them in the "comments" section of the blog.
You've all been working very hard, and the end is in sight. Hurrah! You should be done, or close to done, with your data collection and have begun to enter and/or analyze your data. Then comes the fun part! (Seriously.) Finding out whether or not your hypothesis is true, finding out the answer to your research question.
I look forward to reading your comments. As you did before, post them in the "comments" section of the blog.
K1 Senior Seminar students, blogging assignment #1 (Feb 17th)
Students enrolled in my K1 section of Senior Seminar (which meets Wednesdays at 11:00am) should post here a status update re: where they're at with their proposal. Proposals are due next week, so at this point you (the student) should have a solid idea of what-all your study will entail.
Post an update - correct spelling and grammar, please - in the "comments" section. I look forward to reading your updates.
If someone raises an issue that I think is applicable to everyone, I'll post a reply for all to read.
Good luck!
Post an update - correct spelling and grammar, please - in the "comments" section. I look forward to reading your updates.
If someone raises an issue that I think is applicable to everyone, I'll post a reply for all to read.
Good luck!
Saturday, December 5, 2009
Statistics podcasts on Youtube
This fellow, Keith Bower (at KeithBower.com) has some useful podcasts about statisitical tests which we began discussing when we went to the computer lab just before Thanksgiving. Here's one for the P-value: http://www.keithbower.com/Basic%20Stats/What%20is%20a%20p-value.htm. "If the P-value is low, the null hypothesis must go." See also here: http://www.youtube.com/watch?v=lm_CagZXcv8&annotation_id=annotation_36008&feature=iv
The correlation coefficient, or Pearson's r: http://www.keithbower.com/Basic%20Stats/correlationcoefficient.htm. The measure of the strength of the linear relationship, or association, between two variables, and ranges from -1.0 to +1.0.
On confidence intervals: http://www.keithbower.com/Basic%20Stats/WhatAreCI.htm
On the mean and standard deviation: http://www.keithbower.com/Basic%20Stats/meanstddev.htm
The correlation coefficient, or Pearson's r: http://www.keithbower.com/Basic%20Stats/correlationcoefficient.htm. The measure of the strength of the linear relationship, or association, between two variables, and ranges from -1.0 to +1.0.
On confidence intervals: http://www.keithbower.com/Basic%20Stats/WhatAreCI.htm
On the mean and standard deviation: http://www.keithbower.com/Basic%20Stats/meanstddev.htm
Friday, November 27, 2009
Research Methods on Youtube!
Students:
As an alternative to reading your ever-so-exciting Singleton & Straits course textbook, or listening to me blather on in class, you might try searching around on Youtube for some interesting finds. I typed in "research methods" and came upon the following:
(1) Summary of empirical research: http://www.youtube.com/watch?v=W43Di90uYCU
(2) Theories and hypotheses: http://www.youtube.com/watch?v=nf6X3tauhQc&NR=1&feature=fvwp.
(3) Intro to quantitative research methods: http://www.youtube.com/watch?v=GoQ9Zg8Fvf0&feature=related. This guy is a little dry, but solid. See how what he tells you compares with what I've taught you.
(4) Get a research method (quantitative vs. qualitative): http://www.youtube.com/watch?v=WDo7jwikqqI&feature=related. You'll recognize what this is a spoof of.
As an alternative to reading your ever-so-exciting Singleton & Straits course textbook, or listening to me blather on in class, you might try searching around on Youtube for some interesting finds. I typed in "research methods" and came upon the following:
(1) Summary of empirical research: http://www.youtube.com/watch?v=W43Di90uYCU
(2) Theories and hypotheses: http://www.youtube.com/watch?v=nf6X3tauhQc&NR=1&feature=fvwp.
(3) Intro to quantitative research methods: http://www.youtube.com/watch?v=GoQ9Zg8Fvf0&feature=related. This guy is a little dry, but solid. See how what he tells you compares with what I've taught you.
(4) Get a research method (quantitative vs. qualitative): http://www.youtube.com/watch?v=WDo7jwikqqI&feature=related. You'll recognize what this is a spoof of.
Wednesday, November 18, 2009
Talk the Talk, Walk the Walk
I talk with research methods students about my own research in the hopes that it will illustrate key points from the readings, make research seem like something real and practical that can both answer interesting questions as well as potentially lead to gainful employment.
Current research projects in development include a study with public health researcher colleagues about the impact of arrest (e.g., single, multiple) on future health outcomes such as depression, smoking and other substance use. This involves the use of existing, longitudinal data from the National Longitudinal Survey of Youth (NLSY97). Other studies involve original data collected via surveys and focus groups (for instance). I've also begun to explore possibilities for administering surveys online using a randomly selected sample available from the Study Response Project (http://studyresponse.syr.edu/studyresponse/).
Current research projects in development include a study with public health researcher colleagues about the impact of arrest (e.g., single, multiple) on future health outcomes such as depression, smoking and other substance use. This involves the use of existing, longitudinal data from the National Longitudinal Survey of Youth (NLSY97). Other studies involve original data collected via surveys and focus groups (for instance). I've also begun to explore possibilities for administering surveys online using a randomly selected sample available from the Study Response Project (http://studyresponse.syr.edu/studyresponse/).
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