CollegeTransfer.Net
Toggle menu
Home
Search
Search
Search Transfer Schools
Search for Course Equivalencies
Search for Exam Equivalencies
Search for Transfer Articulation Agreements
Search for Programs
Search for Courses
PA Bureau of CTE SOAR Programs
Transfer Student Center
Transfer Student Center
Adult Learners
Community College Students
High School Students
Traditional University Students
International Students
Military Learners and Veterans
About
About
Institutional information
Transfer FAQ
Register
Login
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
ASTAT 430: Multilevel Models in Quantitative Research
3.00 Credits
Washington University in St Louis
This course covers statistical model development with explicitly defined hierarchies. Such multilevel specifications allow researchers to account for different structures in the data and provide for the modeling of variation between defined groups. The course begins with simple nested linear models and proceeds on to non-nested models, multilevel models with dichotomous outcomes, and multilevel generalized linear models. In each case, a Bayesian perspective on inference and computation is featured. The focus on the course is practical steps for specifying, fitting, and checking multilevel models with much time spent on the details of computation in the R and Bugs environments. Prerequisite: ASTAT 350, 3067, 364, or equivalent.
Share
ASTAT 430 - Multilevel Models in Quantitative Research
Favorite
ASTAT 440: Factor Analysis and Related Methods
3.00 Credits
Washington University in St Louis
In factor analysis, a "factor" represents an unobservable construct hypothesized to give rise to observed variables (e.g., responses to questionnaire items). This course introduces popular factor-analytic models and methods for fitting them to data, in both exploratory and confirmatory contexts. Models for (approximately) continuous observed data are covered, as well as those for categorical observed data, including a few models and methods of item response theory. Application and interpretation are emphasized, with statistical theory introduced as needed. Use of one or more computer programs is required (prior experience with factor-analytic software is useful but not assumed). Prerequisite: ASTAT 350, 3067, 364, or equivalent.
Share
ASTAT 440 - Factor Analysis and Related Methods
Favorite
ASTAT 450: Panel Data
3.00 Credits
Washington University in St Louis
This course examines the significant statistical issues related to the analysis of panel data. Panel data can be generically described as containing multiple units observed at multiple points in time. Because panel data require attention to both heterogeneity and dynamics, we cover both topics individually, in summary form, before considering their interaction and developing intuitions for situations that require greater attention to one than the other. Though a host of other topics receive attention, we focus on the following issues: (1) Can individual time series be pooled and under what conditions? (2) Deterministic vs. random sources of variation arising from units or time points; and (3) What issues arise in translating techniques for panel data to censoring, truncation, and other pathologies that result in limited dependent variables? Prerequisite: ASTAT 330/513, 350/515, 363/563, 2200/5200, 3067/5067, or 364/564, the equivalent, or permission of the instructor.
Share
ASTAT 450 - Panel Data
Favorite
ASTAT 460: Time Series Modeling in Social Science
3.00 Credits
Washington University in St Louis
This course considers statistical techniques to evaluate social processes occurring through time. The course introduces students to time-series methods and to the applications of these methods. Coverage begins with the traditional ARIMA (Box-Jenkins) approach to time series analysis and proceed through dynamic modeling and regression approaches to recent developments such as cointegration analysis, error correction models, and vector autoregression. We learn not only how to construct these models but also how to use them in applied analysis. Heavy emphasis is given to fundamental concepts and applied work. Prerequisites for the course include a solid understanding of the fundamentals of statistical inference, regression analysis, matrix algebra, and the general linear model. By the end of the course, you should be able to: (1) use the Box-Jenkins modeling approach to prewhiten data and conduct an intervention analysis; (2) run and interpret time-series models using econometric methods such as GLS and distributed lag models; (3) analyze cointegrated data using an error correction model; and (4) use vector autoregression to analyze data and apply techniques such as impulse response and moving average response analysis to interpret results. Prerequisite: ASTAT 364 or equivalent.
Share
ASTAT 460 - Time Series Modeling in Social Science
Favorite
BHBR 179: Midrash: The Imaginative Interpretation of Biblical Texts
3.00 Credits
Washington University in St Louis
Same as JNE 179
Share
BHBR 179 - Midrash: The Imaginative Interpretation of Biblical Texts
Favorite
BHBR 300: Introduction to the Hebrew Bible/Old Testament
3.00 Credits
Washington University in St Louis
Same as Re St 300
Share
BHBR 300 - Introduction to the Hebrew Bible/Old Testament
Favorite
BHBR 301C: The Jews in the Ancient World
3.00 Credits
Washington University in St Louis
Same as JNE 301C
Share
BHBR 301C - The Jews in the Ancient World
Favorite
BHBR 302: Introduction to the History and Culture of Ancient Mesopotamia
3.00 Credits
Washington University in St Louis
Same as JNE 302
Share
BHBR 302 - Introduction to the History and Culture of Ancient Mesopotamia
Favorite
BHBR 3082: Introduction to Rabbinic Judaism
3.00 Credits
Washington University in St Louis
Same as Re St 3082
Share
BHBR 3082 - Introduction to Rabbinic Judaism
Favorite
BHBR 348: Medieval Jewish Travelogues, Chronicles, and Biographies
3.00 Credits
Washington University in St Louis
Medieval Hebrew literature includes a wide range of narratives, many of which are commonly classified as chronicles, travelogues, biographies or diaries. In this course, we explore a variety of authors and narratives from the 9th to the 17th centuries, originating from Muslim and Christian lands, the Middle East and Europe. We ask to what extent these texts mirror the personal experiences of their authors and to what extent they must be regarded as literary fictions. In addition, we discuss the question of how premodern Jewish writers reflected on history. All texts are read in English translation. Prerequisite: JNE 208F, or instructor's permission.
Share
BHBR 348 - Medieval Jewish Travelogues, Chronicles, and Biographies
Favorite
First
Previous
116
117
118
119
120
Next
Last
Results Per Page:
10
20
30
40
50
Search Again
To find college, community college and university courses by keyword, enter some or all of the following, then select the Search button.
College:
(Type the name of a College, University, Exam, or Corporation)
Course Subject:
(For example: Accounting, Psychology)
Course Prefix and Number:
(For example: ACCT 101, where Course Prefix is ACCT, and Course Number is 101)
Course Title:
(For example: Introduction To Accounting)
Course Description:
(For example: Sine waves, Hemingway, or Impressionism)
Distance:
Within
5 miles
10 miles
25 miles
50 miles
100 miles
200 miles
of
Zip Code
Please enter a valid 5 or 9-digit Zip Code.
(For example: Find all institutions within 5 miles of the selected Zip Code)
State/Region:
Alabama
Alaska
American Samoa
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
District of Columbia
Federated States of Micronesia
Florida
Georgia
Guam
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Marshall Islands
Maryland
Massachusetts
Michigan
Minnesota
Minor Outlying Islands
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Northern Mariana Islands
Ohio
Oklahoma
Oregon
Palau
Pennsylvania
Puerto Rico
Rhode Island
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont
Virgin Islands
Virginia
Washington
West Virginia
Wisconsin
Wyoming
American Samoa
Guam
Northern Marianas Islands
Puerto Rico
Virgin Islands