where can i take a course on test measurement theory and statistics

What is measurement in statistics?

A previous course in statistics or measurement is recommended. An in-depth examination of measurement and associated techniques, norms, classical test theory, reliability, validity, item response theory, issues, and applications. HUDM 5122 Applied regression analysis.

What do you learn in a statistics course?

The Ph.D. in Measurement & Evaluation (75-credits) is designed to prepare graduates for careers in a wide range of educational settings. Graduates acquire specialized knowledge and skills in test theory, test and instrument development and validation, program evaluation, and quantitative analysis of educational and psychological data.

What are the basic concepts of measurement in research?

Mar 01, 2022 · Statistics 101 consists of short video lessons that are organized into topical chapters. Each video is approximately 5-10 minutes in length and comes with a quick quiz to help you measure your ...

What are the levels of measurement?

Statistical Inference and Modeling for High-throughput Experiments. A focus on the techniques commonly used to perform statistical inference on high throughput data. Free*. 4 …

How many hours is Statistics 101?

Statistics 101: Principles of Statistics has been evaluated and recommended for up to 4 semester hours and may be transferred to over 2,000 colleges and universities. Inside the course, you'll find expertly taught lessons and fun quizzes. The self-paced course can help students apply for transfer credit and save time and money on their degrees.

How many attempts to take a quiz?

You will have 3 attempts to take each quiz for a score. The highest score of your first 3 attempts will be recorded as your score for each quiz. When you've completed the course, the highest scores from your first 3 attempts at each quiz will be averaged together and weighed against the total possible points for quizzes.

What is a quiz in school?

Quizzes. Quizzes are meant to test your comprehension of each lesson as you progress through the course. Here's a breakdown of how you will be graded on quizzes and how they'll factor into your final score: You will have 3 attempts to take each quiz for a score.

How many credits are required for a masters degree?

Students are required to complete 30 credits for the master’s degree. You must complete 12 credits of core courses, which include 624, 724, 720, and 728; 6 credits in Learning and Development; and 12 elective credits, 6 of which must be in Educational Statistics and Measurement. Your program of study is developed in consultation with your assigned ...

What is a masters degree?

Master’s Degree. Students in the master’s program choose either a non-thesis or a thesis track. The purpose of the non-thesis program is to provide basic research methodology coursework for students who are planning to go straight to work in positions that require educational measurement and research methodology.

What is thesis program?

The thesis program is primarily intended for students planning to go on to doctoral studies. PhD. The doctoral program prepares students for upper-level professional positions in the fields of educational measurement, evaluation and statistical methods.

What is a statistical design course?

This course covers planning, conducting, and analyzing statistically designed experiments with an emphasis on hands-on experience. Standard designs studied include factorial designs, block designs, latin square designs, and repeated measures designs. Other topics covered include the principles of design, randomization, ANOVA, response surface methodoloy, and computer experiments.

What are the most commonly used methods in probability?

A treatment of ideas and techniques most commonly found in the applications of probability: Gaussian and Poisson processes, limit theorems, large deviation principles, information, Markov chains and Markov chain Monte Carlo, martingales, Brownian motion and diffusion.

What is a Berkeley seminar?

The Berkeley Seminar Program has been designed to provide new students with the opportunity to explore an intellectual topic with a faculty member in a small-seminar setting. Berkeley seminars are offered in all campus departments, and topics vary from department to department and semester to semester. Enrollment limited to 15 freshmen.

What is the purpose of the R course?

The goal of this course is to better understand programming principles in general and to write better R code that capitalizes on the language's design.

How many hours of lab per week?

Fall and/or spring: 8 weeks - 6 hours of lecture, 2 hours of discussion, and 2 hours of laboratory per week. 15 weeks - 3 hours of lecture, 1 hour of discussion, and 1 hour of laboratory per week. Summer: 8 weeks - 6 hours of lecture, 2 hours of discussion, and 2 hours of laboratory per week. Additional Details.

What is a freshman seminar?

Freshman and sophomore seminars offer lower division students the opportunity to explore an intellectual topic with a faculty member and a group of peers in a small-seminar setting. These seminars are offered in all campus departments; topics vary from department to department and from semester to semester.

What is linear regression?

A coordinated treatment of linear and generalized linear models and their application. Linear regression, analysis of variance and covariance, random effects, design and analysis of experiments, quality improvement, log-linear models for discrete multivariate data, model selection, robustness, graphical techniques, productive use of computers, in-depth case studies.

What is a test statistic?

The test statistic tells you how different two or more groups are from the overall population mean, or how different a linear slope is from the slope predicted by a null hypothesis. Different test statistics are used in different statistical tests.

What is statistical test?

They can be used to: determine whether a predictor variable has a statistically significant relationship with an outcome variable. estimate the difference between two or more groups. Statistical tests assume a null hypothesis of no relationship or no difference between groups.

Why are non-parametric tests useful?

Non-parametric tests don’t make as many assumptions about the data , and are useful when one or more of the common statistical assumptions are violated. However, the inferences they make aren’t as strong as with parametric tests.

Which test is more rigorous, parametric or nonparametric?

Parametric tests usually have stricter requirements than nonparametric tests, and are able to make stronger inferences from the data. They can only be conducted with data that adheres to the common assumptions of statistical tests.

When to use a T-test?

T-tests are used when comparing the means of precisely two groups (e.g. the average heights of men and women).

What is independent observation?

Independence of observations (a.k.a. no autocorrelation): The observations/variables you include in your test are not related (for example, multiple measurements of a single test subject are not independent, while measurements of multiple different test subjects are independent).

What are the types of variables?

Types of variables. The types of variables you have usually determine what type of statistical test you can use. Quantitative variables represent amounts of things (e.g. the number of trees in a forest). Types of quantitative variables include:

What can we do after analyzing data?

After analyzing the data, we can make judgments about our initial research questions and hypotheses. Are these results consistent with previous studies? The conclusions drawn from a study may provide a starting point for new research.

What is the goal of quantitative research?

The goal of virtually all quantitative research studies is to identify and describe relationships among constructs. Data are collected in a very systematic manner and conclusions are drawn based on the data.

Can variables of interest be measured?

Many variables of interest in education and psychology are abstract concepts that cannot be directly measured. This doesn`t preclude us from studying these things, but requires that we clearly define the specific behaviors that are related to the concept of interest.

What are the levels of measurement?

The levels of measurement differ both in terms of the meaning of the numbers and in the types of statistics that are appropriate for their analysis.

What is the basic concept of measurement?

Basic Concepts of Measurement. Before you can use statistics to analyze a problem, you must convert the basic materials of the problem to data. That is, you must establish or adopt a system of assigning values, most often numbers, to the objects or concepts that are central to the problem under study. This is not an esoteric process, but ...

Why do colleges use multiple types of information?

Because every system of measurement has its flaws, researchers often use several different methods to measure the same thing. For instance, colleges typically use multiple types of information to evaluate high school seniors’ scholastic ability and the likelihood that they will do well in university studies. Measurements used for this purpose include scores on the SAT, high school grades, a personal statement or essay, and recommendations from teachers. In a similar vein, hiring decisions in a company are usually made after consideration of several types of information, including an evaluation of each applicant’s work experience, education, the impression made during an interview, and possibly a work sample and one or more competency or personality tests.

Why is measurement bias important?

Consideration of measurement bias is important in every field, but is a particular concern in the human sciences. Many specific types of bias have been identified and defined: we won’t try to name them all here, but will discuss a few common types. Most research design textbooks treat this topic in great detail and may be consulted for further discussion of this topic. The most important point is that the researcher must be alert to the possibility of bias in his study, because failure to consider and deal with issues related to bias may invalidate the results of an otherwise exemplary study.

What does it mean when you step on the bathroom scale?

Similarly, when you step on the bathroom scale in the morning, the number you see is a measurement of your body weight. Depending on where you live, this number may be expressed in either pounds or kilograms, but the principle of assigning a number to a physical quantity (weight) holds true in either case. Not all data need be numeric.

What is the process of assigning numbers to objects and their properties?

Measurement is the process of systematically assigning numbers to objects and their properties, to facilitate the use of mathematics in studying and describing objects and their relationships. Some types of measurement are fairly concrete: for instance, measuring a person’s weight in pounds or kilograms, or their height in feet and inches or in meters. Note that the particular system of measurement used is not as important as a consistent set of rules: we can easily convert measurement in kilograms to pounds, for instance. Although any system of units may seem arbitrary (try defending feet and inches to someone who grew up with the metric system!), as long as the system has a consistent relationship with the property being measured, we can use the results in calculations.

What is nominal data?

Nominal Data. With nominal data, as the name implies, the numbers function as a name or label and do not have numeric meaning. For instance, you might create a variable for gender, which takes the value 1 if the person is male and 0 if the person is female.