Masters Students Exchanging Ideas
Research, Analysis and Results


The master of science (M.S.) program is designed to provide students with comprehensive expertise in survey methodology, equipping them to conduct survey research and analysis in a wide range of fields in the public and private sectors, including health, education, media, official statistics, and polling. The M.S. program is a two-year non-thesis program which includes an internship with an external organization, agency or company.

Admission Requirements

SRAM offices are located in Oldfather Hall
SRAM offices are located in Oldfather Hall

Applicants to the Master of Science program are required to have successfully completed a Bachelor of Arts (BA), Bachelor of Science (BS) or equivalent university degree.

All applicants are required to apply on-line through the Office of Graduate Studies where you can find a step by step process and eligibility requirements.

Required information:

  • Test scores from all sections of the Graduate Record Examinations (GRE) or, if minoring in marketing, from the GMAT (neither are required for the Certificate program) need to be submitted. Please request scores be sent to institution code 6877.
  • Students from countries in which English is not the first language must submit their results from the TOEFL examination. SRAM requires the following minimum TOEFL requirements: Paper 585; Computer 240; Internet 95
  • A personal statement outlining your study and career goals AND three letters of recommendation will be uploaded to GAMES

Deadlines for application to the masters program:

Applications and requests for financial assistance, in the form of Graduate Research Assistantships for the masters program, are due by JANUARY 15 of each year. Please contact the SRAM office for more details.

For details regarding application deadlines for the Certificate program, please contact the SRAM office.

The SRAM Admissions Committee admits qualified students based on past academic performance, their letters of reference, personal statement and standardized examination scores.


SRAM Master of Science Degree Requirements documentation

The SRAM MS is an Option II MS program. More information on Degree Options can be found by visiting the UNL Course Bulletin.

Course Descriptions

SRAM course descriptions at the UNL Course Bulletin.

  • 816. Principles of Survey Analysis (3 credits)
    Introduction to the basic principles of causality and inductive logic in contemporary social and behavioral science. One, two, and multi-way layouts in analysis of variance, fixed effects models, and linear regression in several variables; the Gauss-Markov Theorem; multiple regression analysis; and basic principles of experimental and quasi-experimental designs.

  • 817. Cross-cultural and Multi-population Survey Methodology (3 credits)
    Multi-national research projects and the methdological challenges. Key aspects of cross-national, cross-cultural survey research, study design and organization; survey error and bias; question design; harmonization; adaptation and translation; survey process quality monitoring and control; and process and output documentation.

  • 818. Data Collection Methods (3 credits)
    Effects of various data collection methods on survey errors. The strengths, weaknesses, and challenges of data collection modes and mixed-mode methods. Processes underlying data collection and prctical challenges that arise with each mode; coverage error; nonresponse error; interviewer effects and training; timing; and mode effects.

  • 819. Applied Sampling (3 credits)
    Design of probability samples, sampling populations of humans and unique challenges posed by such populations, restricted by cost and available sampling frames. Simple random sampling, stratification, cluster sampling, systematic sampling, multistage sampling, and probability proportional to size sampling, area probability sampling, and telephone samples.

  • 824. Advanced Quantitative Analysis in Marketing (MRKT 824) (3 credits)
    Prereq: Permission.
    Review, evaluation, and design of advanced marketing research investigations. State-of-the-art methodological issues relevant to marketing to provide an understanding of multivariate data analysis pertinent to the marketing literature. Analysis of linkage, structure, and causality/change for marketing phenomena.

  • 863. Advanced Methods of Social Research II (SOCI 863) (3 credits)
    Intensive analysis of the logic and techniques of sociological analysis: techniques of scaling and index construction; contingency table analysis; measures of association; parametric and nonparametric statistical inference; and generalizations from systematic findings.

  • 894. Professional Development in Survey Research (1-2 credits, max. 2 credits)
    Pass/No Pass only.
    Basic principles of practice including ethical requirements and procedures, IRB and CIDI, personal conduct, plagiarism. Introduction to relevant databases, data archives, key surveys. Practice in critical discussion, report and abstract writing, creating and presenting conference papers.

  • 895. Internship (3-6 credits)
    Prereq: Permission.
    Experience applying concepts and methods of survey research in preparation for a professional career.

  • 896. Practicum in Survey Research and Methodology (3 credits)
    Prereq: Permission.
    Application of theory and research gained during internship.

  • 898. Special Topics (3 credits, max. 24 credits)
    Topic varies.

  • 899. Master’s Thesis (6-10 credits)
    Prereq: Admission to Master’s degree program and permission of major adviser.

  • 915. Advanced Sampling (3 credits)
    Advanced topics related to sampling error in surveys. Complex sample designs used to measure populations of humans, effect of nonresponse on sampling error and data analysis; methods available to "repair" the missing information; the implications of complex sample designs for analyses; and variance estimation.

  • 917. Principles of Survey Analysis II (3 credits)
    Prereq: SRAM 816
    Key components of analytic models used in analysis of survey data. Analysis of variance (anova), linear regression (ols) and generalized linear model (glm) to include estimation of coefficients for a specified set of “structural equations” designated by a hypothesized causal structure (i.e., SEMs). Main statistical models for estimating nonlinear regression coefficients. Introduction to principles of maximum likelihood estimation (mle) and alternative estimation approaches. Focus on development of the ability to conduct independent quantitative research.

  • 920. Instrument Design and Development for Cross-cultural Surveys (3 credits)
    Major approaches and strategies used in cross-national and cross-cultural reserach to design, test, adapt, and translate instrument for multilingual studies.

  • 921. Total Survey Error (3 credits)
    Common language of survey errors across social science disciplines. Causes of survey coverage, nonresponse, measurement, and processing errors; techniques used to reduce teh error in practice; and statistical models and designs that exist to measure the error. Implications of cost and trade-offs between error sources.

  • 922. Randomized and Nonrandomized Research Design (3 credits)
    Logic of causal inference in reserch esign. Obstacles to causal inference, faulty measurement, un-representativeness, spuriousness, specification errors, and confounds. Experimental and quasi-experimental designs, with infrerential pitfalls peculiar to each design. Statistical procedures to illustrate the logic behind various data analytic approaches and the different problems that can limit conclusions derived from these tools.

  • 941. Intermediate Statistics: Experimental Methods (EDPS 941) (3 credits)
    Prereq: EDPS 859.
    Computation, interpretation, and application of analysis of variance techniques, including factorial and mixed model designs. Computer and microcomputer software accessed.

  • 942. Intermediate Statistics: Correlational Methods (EDPS 942) (3 credits)
    Prereq: EDPS 859 or equivalent.
    Various correlational-based statistical procedures presented, including linear and nonlinear regression, multiple regression, statistical control, analysis of interactions, the general linear model, factor analysis, and discriminant analysis.

  • 946. Psychology of Survey Response (PSYC 946) (3 credits)
    Cognitive and communicative processes effect on dynamics of survey interviewing and relationships to principles of survey design. Effects of question wording on comprehension; question order and context on attitude; communicative and retrieval processes on validity of retrospective behavioral reports; and impact of response alternatives on answers.

  • 947. Questionnaire Design (PSYC/SOCI 947) (3 credits)
    Design of questionnaries for survey research and the theoretical and practical issues arising from them. Selection of appropriate measurement techniques for assessing opinions, past behaviors and events, and factual material.

  • 970. Theory and Methods of Educational Measurement (EDPS 970) (3 credits)
    Prereq: EDPS 859 and 870; SRAM/EDPS 941; or equivalent.
    Presentation of various measurement theories and concepts, including classical true-score theory, reliability and validity, text construction, item response theory, test equating, test bias, and criterion-referenced tests.

  • 971. Structural Equation Modeling (EDPS 971) (3 credits)
    Prereq: SRAM/EDPS 942 and 970; or equivalent.
    Introduction to the techniques of path analysis, confirmatory factor analysis, and structural equation modeling with emphasis on the set-up and interpretation of different models using the LISREL program. Model testing and evaluation, goodness-of-fit indices, violations of assumptions, specification searches, and power analyses.

  • 972. Multivariate Analysis (EDPS 972) (3 credits)
    Prereq: SRAM/EDPS 941 and 942.
    Techniques of multivariate analyses, including multivariate analysis of variance and covariance, multivariate multiple regression, multigroup discriminant analysis, canonical analysis, repeated measures (Multivariate model), and time series Mathematical models presented and analyzed. Instruction complemented by appropriate statistical software packages.

  • 998D. Seminar in Special Topics (MRKT 998D) (3 credits)
    Prereq: Permission

  • 999. Doctoral Dissertation (1-24 credits)
    Prereq: Admission to doctoral degree program and permission of supervisory committee chair.

Financial Assistance

With funding from various sources to SRAM and the UNL Gallup Research Center, the SRAM program offers MS and PhD graduate research assistantships. These assistantships provide full tuition and a stipend.

A special Gallup Fellowship is available for promising SRAM applicants interested in full-time professional opportunities at Gallup. Candidates may apply for this fellowship at any time, but they must be accepted to the UNL-SRAM program to be considered. Please contact Barb Rolfes at SRAM or Lindsey Eastwood at Gallup for more information.

Nielsen Media Research also partners with SRAM in the Nielsen Fellowship program.  Nielsen Fellows are selected by an SRAM faculty supervisor.

All UNL programs have possibilities to fund exceptional out-of-state and underrepresented students. For more information on funding opportunities, please contact Barb Rolfes.


Nine total credit hour internship

Summer internship opportunities
Summer internship opportunities

Students in the Survey Research and Methodology masters program are required to complete an internship (6 credits) and practicum (3 credits).

The goal of the internship is to give students in the program extensive hands-on experience in the real world of survey research. In collaboration with students, internship opportunities are arranged with one of a number of commercial survey and market firms, media groups, governmental agencies, academic research establishments and nonprofit associations. These internships normally take place between the students' first and second years of residence.

A practicum report is developed from the internship experience. This may be a report which the intern organization actually needs or an analysis of issues or survey features the intern has worked on (for example, attrition, nonresponse, or pretesting outcomes). The practicum is completed either during the internship or, more usually, in the semester following the internship.

Exchange Program

KU Leaven, in Leuven, Belgium
KU Leuven, in Leuven, Belgium

The Survey Research and Methodology graduate program has an on-going one-semester exchange opportunity with the post-graduate program in Quantitative Analysis in the Social Sciences (QASS) at KU Leuven (KUL) in Leuven, Belgium. Both SRAM and the QASS are heavily invested in the modeling and analysis of quantitative survey data, and the communication of these analyses to key decision and policy makers. The QASS program attracts leading quantitative faculty from across Europe and the U.S. to provide up-to-the-moment instruction on the latest developments in quantitative methodology and analysis. Dr. Larry Williams at UNL and Dr. Marc Swyngedouw of KUL are the academic coordinators for the exchange program.

Application Checklist

The following checklist will help you to complete your application to the Univeristy of Nebraska Lincoln Survey Research and Methodology graduate studies programs.

U.S. Citizens
  • Statement of intentions for Academic/Professional Objectives (personal statement)
  • Three letters of recommendation
  • One copy of official college transcripts (most current; previous semester if currently enrolled)
  • Official test scores from the Graduate Record Examination(GRE) or Graduate Management Admission Test (GMAT) (neither required for Certificate program)
  • Submit application to the University of Nebraska-Lincoln Office of Graduate Studies
International Citizens
In addition to the above:
  • Evidence of financial support
  • TOEFL scores

Student Handbook and Resources

The SRAM Student Handbook provides comprehensive documentation of the SRAM program, applicable to all SRAM students.

Student Activity Report for Masters, Certificate and Ph.D. students without a committee

Finding and Citing References for Survey Research Papers Presentations