Best Universities for Masters certificate program in Research Methodology and Quantitative Methods

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Quantitative Methods in Applied Economics Details and Courses.

This course focuses on the practical uses of time-series econometrics in a macroeconomic context. The topics covered include autoregressive-moving average processes, non-stationary time series models, unit root tests, vector autoregression models, and cointegration analysis. Prerequisites: 440.602 Macroeconomic Theory and Policy 440.606 Econometrics.

This course examines econometric approaches to forecasting macroeconomic activity. The approaches covered span single equation time series to large, complex, simultaneous equations systems. Different measures to assess the forecasting accuracy of these approaches are addressed. A discussion of these approaches and their relevance for policy recommendations is also covered. Prerequisites: 440.602 Macroeconomic Theory and Policy 440.606 Econometrics.

The main goal of this course is to provide the students the alternative viewpoint of the Bayesian approach vis-à-vis the classical econometric approach based on the frequentist perspective. The course will present the basic principles of Bayesian inference, Bayesian Analysis of the linear regression model and extensions of the regression model, and the numerical methods used for Bayesian implementation. Modern Bayesian econometrics relies heavily on numerical simulation methods and computational algorithms. With the advancement of computing power and the advent of new simulation methods, simulation based Bayesian methods have become increasingly popular in practice with a large and growing number of applications. A significant part of the course will be devoted to explaining and demonstrating how numerical Bayesian methods, particularly, Markov Chain Monte Carlo (MCMC) methods, such as the Gibbs sampling and the Metropolis-Hastings algorithm, can be applied to estimate various interesting models in economics and finance. Students will develop practical experience with posterior simulation through hands on computer exercises involving computer programming. Prerequisites: 440.601 Microeconomic Theory, 440.606 Econometrics.

[formerly 440.647] This course introduces students to the methods most commonly used in empirical finance. Key models and methods are ARCH, GMM, Regime-Switching Models, test of CAPM (Capital Asset Pricing Model), term structure models, and volatility models (implied, stochastic volatility). Students will also learn aspects of time series econometrics for both stationary and non-stationary variables at different time frequencies, with emphasis on financial variables. Prerequisites: 440.601 Microeconomic Theory and Policy 440.606 Econometrics 440.614 Macroeconometrics is recommended.

[formerly 440.648] This course covers a number of advanced techniques frequently encountered in applied microeconometric analysis. Topics include generalized method of moments estimation, nonlinear regression, estimation with panel data, systems of regression equations and simultaneous equation models, maximum likelihood estimation and likelihood ratio tests, and limited dependent variable analysis (i.e. Logit, Probit, Tobit, etc.). Prerequisites: 440.601 Microeconomic Theory and Policy 440.606 Econometrics.

[formerly 440.632] The objective of this course is to develop and apply an analytical framework for evaluating projects with an emphasis on publicly funded projects. Coverage includes the evaluation of benefits and costs over time, including in the presence of uncertainty, in the absence of market prices, and when income distribution objectives need to be incorporated into a project evaluation. Prerequisite: 440.601 Microeconomic Theory and Policy. Corequisite: 440.606 Econometrics.

This course will provide an understanding of independently develop, modify, run and interpret Computable General Equilibrium (CGE) models. CGE models are widely used in the analysis of International Trade, Taxation, Environmental Policy, and other subjects. The specific objectives of this course are as follows: Students will (1) gain an understanding of the underlying economic theory behind CGE modeling (2) learn gather data sources from publicly available information to build CGE models (3) gain an understanding of the software General Algebraic Modeling Software (GAMS) to run the models (4) learn how use and modify existing CGE programs for research purposes (5) be able to write simple CGE programs in GAMS (6) be able to analyze public policy with CGE models (7) interpret results from CGE models (8) understand possible extensions of CGE models for potential future research purposes. Analytical skills developed through this class will assist you in building your careers as researchers, public managers, and policy analysts. Prerequisites: 440.601 Microeconomic Theory, 440.602 Macroeconomics Theory. Corequisite: 440.606 Econometrics.

This course focuses on the use of machine learning methods for in-sample and out-of-sample prediction. The topics include regression, classification, random trees (forests, boosting, and pruning), regularization, Bayesian estimation, neural networks, support vector machines, model selection and ensemble learning. Prerequisite 440.606 Econometrics.

This course introduces students to the theory and practice of conducting surveys. Key topics include sample design, weighting, data collection modes, administrative operations, questionnaire design, nonresponse, and estimation in surveys. Prerequisites: 440.601 Microeconomic Theory, 440.605 Statistics. Corequisite: 440.606 Econometrics.

Students should be aware of state-specific information for online programs.

Students must successfully complete 15 credits to earn this Advanced Certificate. The curriculum is designed to be completed in three semesters, however students may take up to three years.

Students must complete the following courses (6 credits):.

Students must also choose and complete courses from the following (9 credits):.

Designing Data Collection for Program Evaluation, Policy, and Management.

The required CORE-GP 1011 must be taken in the first semester and it is a prerequisite to most other courses in the certificate. Students who are able to waive CORE-GP 1011 must complete an advanced elective in its place.

Note: Because PADM-GP 2172 Advanced Empirical Methods is only offered in the fall semester (and requires PADM-GP 2902 as a prerequisite), students who begin the certificate in the spring semester and wish to take the course should consider sequencing carefully. One option may be to enroll in PADM-GP 2902 in summer.

MPA in Public Nonprofit Management Policy.

Master of Science in Health Law and Strategy (with NYU School of Law).

The department offers coursework in basic and advanced quantitative methods across a variety of statistical techniques. The goal of this sequence is to develop student knowledge and expertise in different methodological tools in order to help students advance their own substantive area of research.

Students enrolled in one of the graduate programs in the Psychology may work toward a Certificate in Quantitative Psychology.

The certificate program trains students in the application of advanced methodological and statistical methods. It enables students to engage in high quality methodological practices within their substantive areas.

Upon completion of the requirements (see Psychology Graduate Handbook), the certificate will be recorded on the student transcript and may be listed on the student curriculum vitae.

PSYC 504: Data Analysis IPSYC 519: Data Analysis IIPSYC 513: Meta-AnalysisPSYC 515: Hierarchical Linear ModelingPSYC 516: Structural Equation Modeling IPSYC 517: Structural Equation Modeling IIPSYC 510: Research Methods in Social-Personality PsychologyPSYC 562: Developmental Research MethodsPSYC 572: Introduction to Clinical Research Methods.

If you wish to add the Certificate of Achievement in Research Skills for Quantitative Methodologies (AQM) to your program of study through Weatherhead School of Management and Frances Payne Bolton School of Nursing, you may submit a Notice of Intent by filling out the following form.

Bilingual Dual Language Education Endorsement and Graduate Certificate.

Digital Media Design Making in Education Online Graduate Certificate.

The first banquet for the Harold Grinspoon Foundation Pioneer Valley Excellence in Teaching Awards was held on May 1 to recognize Hampden County West award winners. Among the winners was Katerina Sherrick, a History Teacher License graduate from the Bridges to the Future pathway. Kudos, Katerina!

Students who matriculated prior to the of fall 2017 are required to take four research methods courses. Two of the four courses must be quantitative research methods courses.

Students matriculating fall 2017 or later, are required to take four research methods courses. Two of those four courses must be quantitative and one must be a qualitative research methods course.

Center of Racial Justice and Youth Engaged Research.

The Ronald H. Fredrickson Center for School Counseling Outcome Research Evaluation.

Graduate Certificate in Quantitative Methods for Behavioral Sciences.

AcademicsGraduate ProgramsResearch Evaluation MethodologyGraduate Certificate in Quantitative Methods for Behavioral Sciences.

Chances of employment upon completion of their graduate studies.

Research Methodology and Quantitative Methods is open to current CU Boulder graduate students.

EDUC 7326: Quasi-Experimental Design for Causal Inference in Social Sciences EDUC 7386: Evaluation in Education EDUC 7396: Latent Variable and Structural Equation Modeling EDUC 7456: Hierarchical Linear Modeling EDUC 8240: Quantitative Methods in Educational Research II (Linear Regression Models) EDUC 8710: Measurement in Survey Research EDUC 8720: Advanced Topics in Measurement (Item Response Theory) PSCI 7108: Network Analysis PSCI 7155: Maximum Likelihood Estimation and Generalized Linear Models PSYC 5541: Statistical Programming with R PSYC 6200: Issues and Methods in Cognitive Science.

Once all coursework is completed, the student must submit an updated application that includes an unofficial transcript showing that the courses were satisfactorily completed.

Applications will be reviewed once per semester. Deadlines are Nov. 1 and March 1.

PhD in Education with an emphasis in Research Evaluation Methodology.

Taught by industry experts, this quantitative research skills-based certificate provides a valuable professional credential. Many of our students are residents, fellows, healthcare professionals, and other clinicians seeking graduate-level training in the basic principles of clinical research and an advanced set of data analytics skills. These newly acquired clinical research skills can ready you to assimilate and communicate evidence-based results from scientific studies related to patient care.

You may take up to 7 years to complete the program.

The online clinical quantitative research methods certificate at Drexel University is a three-course (9 semester credit) program that melds quantitative knowledge in epidemiology, applied biostatistics, and scientific writing.

One of the main differentiators between a qualitative research certificate and a quantitative research methods certificate is the audience:.

Key methods include focus groups, in-depth interviews, and reviews of documents to extract themes.

Key methods include surveys, structured interviews to harness observations, and reviews of documents to extract numerical data.

Researchers interpret observed effects of a program on a problem or condition.

May take less time to plan than analyze findings.

May take time to plan and less to analyze findings.

This broad and in-depth knowledge helps ready you to conduct quantitative research studies.

Reports point to high demand for Clinical Research Associates (CRAs) through 2026. 14 percent growth for this period. Clinical Research Associates often conduct screening interviews, reviews of medical records, or dialogue with physicians and nurses. Other potential job titles include:.

Certificate in Clinical Quantitative Research Methods Salary Expectations.

Recent data indicates Clinical Research Associates earned a median annual salary of $118,970 in 2017. Salaries for Clinical Research Associates may depend on factors such as experience level, education, and place of work:.

The tuition rate for the academic year 2022-2023 is $1255 per credit.

Research Methodology and Quantitative Methods is not eligible for Financial Aid.

These rates apply only to new online students and students being readmitted.

These rates apply only to fully online courses. Hybrid or on-campus courses may have different rates.

Tuition rates are subject to increase with the start of each academic year in the fall term.

When receiving special tuition plans with Drexel University Online, you may not combine them with other tuition benefits that may be available from Drexel University.

The Mixed Methods Research graduate certificate is a stand-alone credential that can provide you with the research skills necessary to fulfill this very important need.

The pressure to conduct research by federal, state and accreditation agencies is becoming and prevalent in a variety of settings including academia and health care. Research is increasingly reliant on mixed methods techniques.

This certificate is well-suited for current and future doctoral students seeking to enhance their professional skills and training.

Applicants must also fulfill any additional requirements the department specifies at the time of application.

The University of Nebraska does not discriminate based on race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and or political affiliation in its programs, activities, or employment.

Updates to graduate program pages are made on an annual basis in conjunction with the Graduate Application for Admission.

Graduate Certificate in Educational Statistics and Research Methods.

The graduate certificate in Educational Statistics and Research Methods recognizes students who complete a core of courses focused on developing the theoretical, application and interpretative aspects of statistical techniques and research methods. Graduate students completing this certificate will also develop comprehensive programming and data management skills necessary for today academic researcher.

5 Courses at 15 Credit Hours with 3 Tracks.

3 courses totaling 9 credit hours.

2 courses totaling 6 credit hours.

Educational Statistics and Research Methods Rehabilitation, Human Resources and Communication Disorders College of Education and Health Professions 324 Graduate Education Building University of ArkansasFayetteville, AR 72701.

The Evaluation and Assessment Methods Graduate Certificate program teaches students advanced evaluation skills for strategic decision-making.

Students learn the principles and gain the experience necessary to develop effective evaluation and assessment plans across a range of industries, including public health, education, environmental sustainability, technology and nonprofit initiatives. Through courses that focus on evaluation design, project management, and data collection and analysis, students learn how to use established and emerging methods to gather information required for programmatic decision-making.

Students will learn to collect, analyze and evaluate data in fresh ways to create programmatic changes within an organization or relating to a policy initiative. You'll hone your skills inData Analysis and Collection; Evaluation Design and Assessment Methods; and Advanced Communication and Grant Writing Skills.