PASS

Programs in Advanced Statistical Studies

Master the software and practical skills
you need to get ahead.

Statistics for Social Sciences PASS

This certificate program is aimed at those who need to understand the statistical methods required for the social sciences, including survey research, educational assessment, and medical and behavioral studies in psychology and sociology.  It offers the equivalent of 21 credits (in the US academic system).

This program provides an appropriate balance between conceptual understanding and application. As a successful PASS candidate, you will acquire the statistical skills and software facility you need for projects, reports, and research. While open to all, the flexible format and scheduling is particularly suitable for working professionals.

The program courses are taught by leading experts with whom you share a private discussion forum for the entire course period. Students participate from all over the world - lessons and assignments are opened and closed on a weekly basis. You organize your time however you like within each week - there are no set times when you must be online.

Courses in the Program are typically 4 weeks long, and require about 15 hours per week. Courses operate throughout the year, and there is no "semester" system. You can enter and start taking courses whenever you like, after reviewing the Program requirements and guidance on course sequencing. Most students take one course at a time, and complete their Program over a period of 3-5 years.

There are four main components to each course:

  1. Course materials (course text, course files, video and other materials)
  2. Discussion with the instructor and other students via daily web forum (asynchronous - you need not be online at any particular time of day)
  3. Homework (submitted online weekly, with individualized feedback the following week)
  4. Final project/exam

For more details on how these online courses work, click here.  Students successfully completing the Program receive a certificate and transcript.

Placement Services

As a PASS candidate, once you successfully complete half your program courses, you are eligible for our personalized placement services. We will review your background, your interests, and your work at the Institute, and try to find a match with appropriate recruiters. Our specialty is early-to-mid-career placement (not entry level).

When To Apply

Applications are accepted and students are enrolled year round on a rolling basis.  You pay an application fee and submit it with your application form.  You may pay the fee online here, or enclose a check (USD drawn on a US bank) with your application. NOTE: The application is your opportunity to specifically outline your past education and experience, and provide any other information you want us to consider during our review.  The value of this background and experience is the ability to place the statistical methods covered in the Program in an appropriate application context.  Once we have accepted your application, we will be happy to assist you with more specific questions about PASS.

Admission Criteria

  1. A Bachelor's degree from an accredited college or university,
  2. Successful completion of an introductory statistics course equivalent to Statistics.com's Intro courses series ("Introduction to Statistics for Beginners" through "Introduction to Statistics 3") that prepares the applicant for a passing score in the required entrance exam which covers basic statistics.
  3. Passing score on the online entrance exam.

Note:  While it is not an admission requirement, applicants will also benefit from employment experience (or plans for employment) in an organization that works in the selected field of the Program you select.

Enrollment In PASS

Enroll in the Program of your choice here,  after your application is approved AND you have passed the entrance examination.  Once enrolled, register for each specific course within your PASS using the academic tuition rate as you are now a matriculated student at the Institute for Statistics Education at Statistics.com.

Note:  While it is not an admission requirement, applicants will also benefit from employment experience (or plans for employment) in an organization that works with surveys, assessments, or other data resulting from medical or behavioral studies.  The value of this experience is the ability to place the statistical methods covered in the Program in an appropriate application context (work experience with particular statistical techniques is not required).

Application Fee: $75
Program Registration Fee:$495
Estimated Required Course Tuition: $3591
Estimated Electives Course Tuition: $1938
Estimated Material Cost: $980
Estimated Total Cost: $7079

Statistics for Social Science PASS

 

Program Objective

The Program consists of courses offered completely online at statistics.com, accessible from any computer connected to the internet.  Required topics for all students include survey design, sampling, and analysis, logistic regression, multivariate statistics and principal components and factor analysis. Electives allow for in-depth study of structural equation modeling, and advanced statistical modeling methods.  Students completing the Program successfully will gain mastery of statistical topics, plus specific skills and use of software tools important to the design of studies, and the analysis and interpretation of the data that they yield.

Sequencing your Program

Most courses are four weeks long, and are scheduled either once or twice a year. Courses start on specific dates, but do not require you to be online at any particular time of the day. Since various courses are available throughout the year, the Program provides flexibility in scheduling.

Listed below in alphabetical order, are the required and elective courses with available dates. Additionally, use these tools to help you map out your program:

  • Prerequisites – each course lists its prerequisite. These prerequisite courses should be taken prior to the course you are considering.
  • Suggested sequencing document - this lists the courses in groups, based upon their approximate level of difficulty. It is a guide, not a set of requirements.
  • Calendar - You can easily search course start dates here.

After your successful acceptance into PASS, you can begin your program with any course, based on your own background, the level of difficulty and if you meet the prerequisites.  You will work out a tentative schedule (or at least the first few courses), then register and pay tuition.

As a PASS candidate, you are eligible to register for any course using the academic tuition link, indicating “PASS” when prompted for your academic affiliation during online registration.  As an added benefit, if you register online for three courses simultaneously, an automatic USD200 reduction is applied. Please note that payment of tuition and fees does not include the purchase of any required texts or software.

Suggested sequencing document

Calendar


Required Courses (9)

  • Categorical Data Analysis This course will cover the analysis of contingency table data (tabular data in which the cell entries represent counts of subjects or items falling into certain categories). Topics include tests for independence (comparing proportions as well as chi-square), exact methods, and treatment of ordered data. Both 2-way and 3-way tables are covered. Tuition: $399 (5.0 CEUs) New available dates: March 30, 2012 to April 27, 2012September 28, 2012 to October 26, 2012 more >>
  • Introduction to Assessment/Measurement in Education The aim of this course is to provide an overview to the main statistical and measurement tools that are associated with interpretation of data from tests, including standardized educational tests. Participants will learn how to interpret test results. Tuition: $399 (5.0 CEUs) New available dates: June 15, 2012 to July 13, 2012June 14, 2013 to July 12, 2013 more >>
  • Introduction to Statistical Modeling This course provides a solid introduction to the ideas and techniques of statistical modeling. Tuition: $399 (5.0 CEUs) New available dates: January 04, 2013 to February 01, 2013 more >>
  • Logistic Regression Logistic regression extends ordinary least squares (OLS) methods to model data with binary (yes/no, success/failure) outcomes. Rather than directly estimating the value of the outcome, logistic regression allows you to estimate the probability of a success or failure. Tuition: $399 (5.0 CEUs) New available dates: March 16, 2012 to April 13, 2012June 15, 2012 to July 13, 2012September 07, 2012 to October 05, 2012 more >>
  • Matrix Algebra Review This course will provide the basics of vector and matrix algebra and operations necessary to understand multivariate statistical methods, including the notions of the matrix inverse, generalized inverse and eigenvalues and eigenvectors. After successfully completing this course, you will be able to use and understand vector and matrix operations and equations, find and use a matrix inverse, and use and understand the eigenset of a symmetric matrix. Tuition: $399 (5.0 CEUs) New available dates: February 24, 2012 to March 23, 2012June 29, 2012 to July 27, 2012November 02, 2012 to November 30, 2012 more >>
  • Multivariate Statistics This course covers key multivariate procedures such as multivariate analysis of variance (MANOVA), principal components, factor analysis and classification. Tuition: $399 (5.0 CEUs) New available dates: February 17, 2012 to March 16, 2012July 13, 2012 to August 10, 2012 more >>
  • Principal Components and Factor Analysis In this course, you will learn how to make decisions in building a factor analysis model - including what model to use, the number of factors to retain, and the rotation method to use. Tuition: $399 (5.0 CEUs) New available dates: May 25, 2012 to June 22, 2012May 24, 2013 to June 21, 2013 more >>
  • Survey Analysis This course covers the analysis of data gathered in surveys. Tuition: $399 (5.0 CEUs) New available dates: August 17, 2012 to September 14, 2012 more >>
  • Survey Design and Sampling Procedures This course covers the crafting of survey questions, the design of surveys, and different sampling procedures that are used in practice. Longstanding basic principles of survey design are covered, and the impact of the trend toward increased respondent resistance is discussed. Tuition: $399 (5.0 CEUs) New available dates: July 13, 2012 to August 10, 2012 more >>

Elective Courses (5 required)

  • Advanced Logistic Regression After taking this course, participants will be able to specify, implement and interpret the output of a variety of advanced logistic regression models not covered in the first course, "Logistic Regression." Tuition: $399 (5.0 CEUs) New available dates: April 27, 2012 to May 25, 2012April 26, 2013 to May 24, 2013 more >>
  • Advanced Structural Equation Modeling This course covers many popular advanced SEM models with practical exercises. Models covered include Multiple Indicator an Multiple Causes models (MIMIC), Multiple Group models, Multilevel (HLM) models, Mixture models, Structured Means models, Multitrait-Multimethod models, Second Order Factor models, Interaction models, and Dynamic Factor models. Tuition: $399 (5.0 CEUs) New available dates: June 29, 2012 to July 27, 2012 more >>
  • Analysis of Survey Data from Complex Sample Designs This course teaches you how to estimate variances for complex surveys, and also how to model the results using linear and logistic regression, and other generalized linear models. Tuition: $399 (5.0 CEUs) New available dates: To be scheduled. more >>
  • Bootstrap Methods This course covers the basic theory and application of the bootstrap family of procedures, with the emphasis on applications. Tuition: $399 (5.0 CEUs) New available dates: March 16, 2012 to April 13, 2012 more >>
  • Categorical Data - Applied Modeling This course continues the analysis of categorical data, contains a review of logistic regression, and introduces multinomial responses for logistic regression, probit, logit and loglinear analysis. Tuition: $399 (5.0 CEUs) New available dates: November 09, 2012 to December 07, 2012November 08, 2013 to December 06, 2013 more >>
  • Generalized Linear Models

    This course will explain the theory of generalized linear models (GLM), outline the algorithms used for GLM estimation, and explain how to determine which algorithm to use for a given data analysis. GLM allows the modeling of responses, or dependent variables, that take the form of counts, proportions, dichotomies (1/0), positive continuous values, as well as values that follow the normal Gaussian distribution. Logistic, Poisson, and negative binomial regression models are three of the most noteworthy GLM family members.

    Note:  Detailed study of model specification and the interpretation of software output is handled in statistics.com's individual courses on regression, logistic regression, count data modeling, etc., and in the  Categorical Modeling course.

    Tuition: $399 (5.0 CEUs) New available dates: April 06, 2012 to May 04, 2012November 23, 2012 to December 28, 2012 more >>
  • Introduction to Resampling Methods The course introduces the basic concepts and methods of resampling methods, including bootstrap procedures and permutation (randomization) tests, with little or no complex theory or confusing notation. Tuition: $299 (3.75 CEUs) New available dates: February 17, 2012 to March 09, 2012July 06, 2012 to July 27, 2012 more >>
  • Introduction to Structural Equation Modeling This course covers the fundamental concepts and theory of Structural Equation Modeling:  model specification, model identification, model estimation, model testing, and model modification.  Reading assignments, examples and exercises are included using the LISREL software package. Tuition: $399 (5.0 CEUs) New available dates: May 18, 2012 to June 15, 2012November 09, 2012 to December 07, 2012 more >>
  • Many-Facet Rasch Measurement This course will cover the analysis and interpretation of judge-intermediated ratings, like essay grading, Olympic ice-skating, therapist ratings of patient behavior, etc. Tuition: $399 (5.0 CEUs) New available dates: To be scheduled. more >>
  • Maximum Likelihood Estimation This course will cover the derivation of maximum likelihood estimates, and their properties. Tuition: $179 (2.5 CEUs) New available dates: March 30, 2012 to April 13, 2012August 03, 2012 to August 17, 2012December 07, 2012 to December 21, 2012 more >>
  • Meta Analysis This course will explain meta analysis - the methods that are used to assess multiple statistical studies on the same subject and draw conclusions. Dr. Rothstein will be the primary discussion leader for this course. Tuition: $429 (5.0 CEUs) New available dates: April 06, 2012 to May 04, 2012July 20, 2012 to August 17, 2012November 30, 2012 to January 04, 2013 more >>
  • Meta Analysis 2 Meta-Analysis refers to the statistical analyses that are used to synthesize summary data from a series of studies.  This course covers some advanced issues in meta-analysis.  Participants should have completed the basic course in meta-analysis or an equivalent. Tuition: $429 (5.0 CEUs) New available dates: August 31, 2012 to September 28, 2012 more >>
  • Missing Data Analysis in Clinical Trials This course will cover the theory and practice of two modern methods of handling missing data in clinical trial applications: maximum likelihood and multiple imputation. Tuition: $399 (5.0 CEUs) New available dates: To be scheduled. more >>
  • Mixed and Hierarchical Linear Models This course will explain the basic theory of linear and non-linear mixed effects models, including hierarchical linear models. It will outline the algorithms used for estimation, primarily for models involving normally distributed errors, and will provide examples of data analysis. The course aims at providing a basic understanding and knowledge of the mixed effect models that will allow you to use them in practice. Tuition: $399 (5.0 CEUs) New available dates: May 11, 2012 to June 08, 2012May 10, 2013 to June 07, 2013 more >>
  • Modeling Count Data This course deals with regression models for count data; i.e. models with a response or dependent variable data in the form of a count or rate. The course will cover Poisson regression, the foundation for modeling counts, as well as extensions and modifications to the basic model. Tuition: $399 (5.0 CEUs) New available dates: May 11, 2012 to June 08, 2012October 19, 2012 to November 16, 2012 more >>
  • Modeling Longitudinal and Panel Data This course covers the extension of Generalized Linear Models (GLM) to model varieties of longitudinal and clustered data, called panel data. Tuition: $399 (5.0 CEUs) New available dates: July 20, 2012 to August 17, 2012July 19, 2013 to August 16, 2013 more >>
  • Practical Rasch Measurement - Core Topics Rasch analysis constructs linear measures from scored observations, such as responses to multiple-choice questions, Likert scales and quality-of-life assessments. This course covers the practical aspects of data setup, analysis, output interpretation, fit analysis, differential item functioning, dimensionality and reporting. Tuition: $429 (5.0 CEUs) New available dates: To be scheduled. more >>
  • Practical Rasch Measurement - Further Topics Continues the exploration of Rasch theory and its application in the Winsteps software, begun in Practical Rasch Measurement-Core Topics. The visual step-by-step tutorial propels you along the road to success. This course introduces exciting new topics and delves into earlier topics more deeply. Tuition: $399 (5.0 CEUs) New available dates: To be scheduled. more >>
  • Rasch Applications in Clinical Assessment, Survey Research, and Educational Measurement This course covers the practical aspects of construct conceptualization, theory development, and instrument or item bank design, pilot testing, and calibration, relative to the different demands of four primary reasons for measuring (screening, diagnosis, research, accountability). Tuition: $399 (5.0 CEUs) New available dates: September 14, 2012 to October 12, 2012September 13, 2013 to October 11, 2013 more >>
  • Sample Size and Power Determination This course shows you how to make sample size determinations for various statistical tests and for confidence intervals, as needed for experimental studies such as comparison studies, as well as for other types of experiments. Tuition: $399 (5.0 CEUs) New available dates: May 18, 2012 to June 15, 2012November 23, 2012 to December 28, 2012 more >>

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