Start Over

15561. Using Instrumental Variables to Interpret Experiments, Choice Experiments, and Survey Nonresponse (1:26:36)

Date:
2018-10-19
Main contributors:
Wing, Coady
Summary:
Classical applications of instrumental variables analysis are justified by structural models of behavior, and assumptions about the relationship between measured and unmeasured variables. Experimental and quasi-Experimental research designs present a partial alternative to structural modeling that is useful for answering certain types of research questions. It turns out that instrumental variables analysis can also help us make sense of several different research designs. This workshop will introduce the key assumptions involved in instrumental variables analysis from the perspective of research design. It will examine the way instrumental variables can play a role in the analysis of data from (i) classical randomized experiments, (ii) experiments that mix randomization and participant choice, and (iii) surveys that suffer from nonresponse. In each case, research designs justify some instrumental variable assumptions and not others. Examples and best practices for applied research will be discussed throughout.

15562. Using IPUMS Data for Health-Related Research (1:26:00)

Date:
2021-01-29
Main contributors:
Kari Williams
Summary:
IPUMS provides free census and survey data from around the world. We receive funding from the NIH and NSF to make data more accessible to researchers by making them comparable across time and space. IPUMS data users can create customized data files with only the variables and samples of interest through our online interface and download these files for use in their preferred statistical package. By reducing the barriers to accessing rich data sources, IPUMS allows researchers to leverage publicly available datasets to answer a broad array of health-related research questions. This talk will provide an introduction to IPUMS, review the health-related data available, demonstrate how to use the IPUMS data extract system to create custom datasets, and will briefly discuss combining IPUMS data with restricted use versions in a Federal Statistical Research Data Center (FSRDC).

15563. Using jsPsych to Conduct Behavioral Research Online (1:48:26)

Date:
2015-09-04
Main contributors:
de Leeuw, Josh
Summary:
Behavioral scientists have been using the internet to conduct research for over two decades, but only recently has the scope of internet research begun to rival the traditional laboratory experiment. In this workshop, I will introduce you to the basics of online data collection and various tools for conducting online research, including jsPsych (http://www.jspsych.org), a programming library for conducting laboratory-like experiments online developed at Indiana University. I'll describe all the necessary components of running an online experiment, the features of jsPsych, and how to create a simple experiment using the jsPsych library.

15564. Using Just For Me Tape 1 [outtakes] (31:12)

Date:
unknown/unknown
Main contributors:
Unknown
Summary:
Unedited segments and/or outtakes from the Agency for Instructional Technology series Just For Me. Interview with Kathryn Nelson.

15565. Using Just For Me Tape 2 [outtakes] (31:13)

Date:
1992
Main contributors:
Agency For Instructional Technology
Summary:
Unedited segments and/or outtakes from the Agency for Instructional Technology series Just For Me. Interview with Kathryn Nelson.

15566. Using Machine Learning to Infer Real-world Political Attitudes and Behaviors from Social Media Data (1:10:00)

Date:
2022-02-24
Main contributors:
Bestvater, Samuel
Summary:
Social media has become a primary means of communication and personal expression for many, and digital trace data from social media platforms can contain rich and extensive archives of individuals’ attitudes, beliefs, and actions. But even though these data are increasingly plentiful and available to social science researchers, the process of extracting meaningful measures of individual-level attributes from large collections of social media data is nontrivial. In this talk, Computational Social Scientist, Sam Bestvater, will draw from his research on political engagement in online spaces and its impacts on real-world behaviors to discuss how machine learning algorithms can be used to analyze large amounts of social media data and extract insights into political attitudes and activities. Along the way, the talk will introduce several recent innovations in natural language processing and computer vision, and will discuss some potential challenges and limitations of using these tools and data sources for political research, as well as ethical considerations that should be taken into account.

15567. Using Mental Computation (22:37)

Date:
1982
Main contributors:
National Instructional Television
Summary:
Episode 10 of It Figures, a 28-part mathematics series for fourth graders. Each episode introduces real-life situations involving math concepts that can, at times, prove difficult. Often a child gets caught in the problem that does not come out successfully, but experience proves the best teacher. Capsizing the information taught in each program is a cartoon sequence. These cartoons provide previews of what follows from a live-action sequence. The content of It Figures was developed by a consortium of 31 state and provincial education agencies. Managing the project were Ed Cohen and the late Larry Walcoff. Individual programs were produced by Larry Wood Productions (in the facilities of KLVX in Las Vegas), the Illinois State Board of Education, New Jersey Network (NJN), KLCS in Los Angeles, Maryland Instructional Television and South Carolina ETV.

15568. Using Mind Body Connections to Treat Trauma (01:56)

Date:
2012-06-14
Main contributors:
Porges, Stephen W.
Summary:
Dr Stephen Porges presented the Polyvagal Theory during a training program by NICABM on Trauma Therapy. Original Publication: https://www.youtube.com/watch?v=Lpu4hKG8w0A

15570. Using Multiplication and Addition (22:36)

Date:
1982
Main contributors:
National Instructional Television
Summary:
Episode 13 of It Figures, a 28-part mathematics series for fourth graders. Each episode introduces real-life situations involving math concepts that can, at times, prove difficult. Often a child gets caught in the problem that does not come out successfully, but experience proves the best teacher. Capsizing the information taught in each program is a cartoon sequence. These cartoons provide previews of what follows from a live-action sequence. The content of It Figures was developed by a consortium of 31 state and provincial education agencies. Managing the project were Ed Cohen and the late Larry Walcoff. Individual programs were produced by Larry Wood Productions (in the facilities of KLVX in Las Vegas), the Illinois State Board of Education, New Jersey Network (NJN), KLCS in Los Angeles, Maryland Instructional Television and South Carolina ETV.