astronomy

Mark Reckase

Mark Reckase is a astronomy topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Mark Reckase rather than just read about it. In short: Mark Daniel Reckase is an educational psychologist and expert on quantitative methods and measurement who is known for his work on computerized adaptive testing, multidimensional item response theory, and standard setting in educational and psychological tests. Reckase is University Distinguished Professor Emeritus in the College of Education at Michigan State University.

Key takeaways

Mark Reckase belongs to astronomy; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Mark Reckase to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Mark Reckase from memory before moving on to harder problems.

Reference excerpt

Mark Daniel Reckase is an educational psychologist and expert on quantitative methods and measurement who is known for his work on computerized adaptive testing, multidimensional item response theory, and standard setting in educational and psychological tests. Reckase is University Distinguished Professor Emeritus in the College of Education at Michigan State University.

Awards and honors 2016: Career Award from the National Council for Measurement in Education for Contributions to Educational Measurement. 2009: Michigan State University Distinguished Professor

Biography Reckase graduated from the University of Illinois at Urbana-Champaign in 1966 with a B.S. in psychology. He earned his Ph.D. in psychology from Syracuse University in 1972, where his advisor was Eric F. Gardner. His dissertation was titled Development and application of a multivariate logistic latent trait model. Reckase began his career on the faculty at University of Missouri in 1972. In 1981, he moved on to a position as Assistant Vice President for Assessment Innovations at ACT. In 1998, he left ACT to join the faculty of the College of Education at Michigan State University. He retired in 2015. Between December 2001 and November 2006, Reckase was chief editor of the academic journal Applied Psychological Measurement. He has served as President of the International Association for Computerized Adaptive Testing (2017) and as President of the National Council on Measurement in Education (2008-2009).

Research Reckase specializes in the development of educational and psychological assessments, particularly the psychometric theories underpinning the development of such tests. He has worked extensively in multidimensional item response theory since the beginning of his academic career: his dissertation was on the early development of a multidimensional item response model and he went on to write a book on the topic in 2009. He has branched out into other psychometric areas, like standard setting.

Books Reckase, Mark (2022). The psychometrics of standard setting connecting policy and test scores. Boca Raton. ISBN 978-0-429-53098-2. OCLC 1370241241.{{cite book}}: CS1 maint: location missing publisher (link) Reckase, Mark (2009). Multidimensional item response theory. New York: Springer. ISBN 978-0-387-89976-3. OCLC 437345698.

Representative publications Reckase, M. (1979). Unifactor latent trait models applied to multifactor tests: Results and implications. Journal of Educational Statistics, 4, 207–230. Reckase, M. (1985). The difficulty of test items that measure more than one ability. Applied Psychological Measurement, 9, 401–412. Reckase, M. (1997). The past and future of multidimensional item response theory. Applied Psychological Measurement, 21, 25–36. Reckase, M. (2006). A conceptual framework for a psychometric theory for standard setting with examples of its use for evaluating the functioning of two standard setting methods. Educational Measurement: Issues and Practice, 25, 4–18. Reckase, M. D., & McKinley, R. L. (1991). The discriminating power of items that measure more than one dimension. Applied Psychological Measurement, 15(4), 361–373.

References

External links Mark Reckase as indexed in EduTree Publications by Mark Reckase at ResearchGate

Worked examples

Example 1 — a first encounter with Mark Reckase

Start with the simplest possible case. Write down what Mark Reckase claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Mark Reckase before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Mark Reckase ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Mark Reckase

In research: Mark Reckase appears in astronomy research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Mark Reckase in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Mark Reckase is common in secondary-school and first-year university syllabi. It links to neighbouring topics 20th-century American psychologists, 21st-century American psychologists, Living people, so understanding it makes those chapters shorter.
In everyday life: Look for Mark Reckase outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Mark Reckase in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Mark Reckase means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Mark Reckase out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Mark Reckase in simple terms?

Why does Mark Reckase matter?

Because it connects several astronomy ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Mark Reckase?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Mark Reckase.