Read e-book online A Handbook of Test Construction: Introduction to PDF

By Paul Kline

ISBN-10: 1138905119

ISBN-13: 9781138905115

Psychological checks supply trustworthy and target criteria through which contributors may be evaluated in schooling and employment. hence actual decisions needs to rely on the reliability and caliber of the exams themselves. initially released in 1986, this instruction manual by means of an across the world stated professional supplied an introductory and entire remedy of the company of creating solid tests.

Paul Kline exhibits find out how to build a try out after which to envision that it's operating good. protecting such a lot sorts of exams, together with desktop provided checks of the time, Rasch scaling and adapted trying out, this name bargains: a transparent advent to this complicated box; a thesaurus of expert phrases; an evidence of the target of reliability; step by step information throughout the statistical systems; an outline of the recommendations utilized in developing and standardizing checks; guidance with examples for writing the attempt goods; laptop courses for lots of of the techniques.

Although the pc trying out will necessarily have moved on, scholars on classes in occupational, academic and medical psychology, in addition to in mental trying out itself, may nonetheless locate this a helpful resource of data, advice and transparent explanation.

Show description

Read or Download A Handbook of Test Construction: Introduction to Psychometric Design PDF

Best statistics books

Get The History of Statistics: The Measurement of Uncertainty PDF

This awesome booklet is the 1st complete background of data from its beginnings round 1700 to its emergence as a unique and mature self-discipline round 1900.
Stephen M. Stigler exhibits how records arose from the interaction of mathematical strategies and the wishes of a number of technologies together with astronomy, geodesy, experimental psychology, genetics, and sociology. He addresses many exciting questions: How did scientists study to mix measurements made less than diverse stipulations? and the way have been they ended in use likelihood idea to degree the accuracy of the outcome? Why have been statistical tools used effectively in astronomy lengthy prior to they started to play a major function within the social sciences? How might the advent of least squares predate the invention of regression through greater than 80 years? On what grounds can the key works of fellows corresponding to Bernoulli, De Moivre, Bayes, Quetelet, and Lexis be thought of partial mess ups, whereas these of Laplace, Galton, Edgeworth, Pearson, and xmas are counted as successes? How did Galton's chance computer (the quincunx) offer him with the major to the most important develop of the final 1/2 the 19th century?

Stigler's emphasis is upon how, whilst, and the place the equipment of likelihood thought have been built for measuring uncertainty in experimental and observational technology, for decreasing uncertainty, and as a conceptual framework for quantative reports within the social sciences. He describes with care the clinical context within which different equipment advanced and identifies the issues (conceptual or mathematical) that retarded the expansion of mathematical information and the conceptual advancements that authorised significant breakthroughs.

Statisticians, historians of technological know-how, and social and behavioral scientists will achieve from this booklet a deeper knowing of using statistical tools and a greater grab of the promise and obstacles of such strategies. The manufactured from ten years of study, The historical past of information will entice all who're attracted to the humanistic learn of technology.

Download e-book for iPad: R in Action by Robert Kabacoff

R in motion is the 1st e-book to give either the R procedure and the use instances that make it this sort of compelling package deal for company builders. The booklet starts off via introducing the R language, together with the improvement atmosphere. targeting functional options, the booklet additionally bargains a crash direction in sensible records and covers based tools for facing messy and incomplete info utilizing gains of R.

Download PDF by Tânia M. M. Campos, Irene M. Cazorla, Verônica Y. Kataoka: Teaching Statistics in School Mathematics-Challenges for

Lately, there were a ramification and renewal of the facts content material within the arithmetic curricula in lots of nations via all institution grade degrees from fundamental to secondary degrees. even though, no related cognizance has been paid to the training of arithmetic instructor to educate information at those degrees.

Extra resources for A Handbook of Test Construction: Introduction to Psychometric Design

Sample text

Ratio scales in addition have a meaningful zero point. This is clearly a problem for most psychological variables, although there are methods of test construction which allow for this possibility. An examination of these four types of scale reveals clearly that, ideally, psychological test constructors should aim to produce ratio scales. Failing that, interval scales are desirable if the results are to be subjected to any form of statistical analysis. Since the study of the validity of tests almost inevitably involves such analysis, and since it is from the quantification of scores that psychological tests derive their advantages over other forms of assessment, the conclusion is obvious: nothing less than interval scales will do.

Barrett and Kline (1984) have shown that Rasch scaling can produce meaningless scales. Thus Rasch scaling of the Eysenck Personality Questionnaire (EPQ) produced a composite of N, E, P and L personality scales. Yet despite all these points, for some purposes, especially where testing is concerned with a clear population of items and where short forms of test or repeated testing are desirable, then Rasch scaling may be useful. Chapter 10 includes the practical procedures necessary for constructing such tests.

Chopin, 1976) indicates that items often do not fit the model, and in any case there is considerable disagreement as to the statistical procedures to measure item-fit. To make matters worse, Wood (1978) showed that random data could be made to fit the Rasch model. Finally, Nunnally (1978) argues that in any case there is a very high correlation between Rasch scales and scales made to fit the classical model. Barrett and Kline (1984) have shown that Rasch scaling can produce meaningless scales. Thus Rasch scaling of the Eysenck Personality Questionnaire (EPQ) produced a composite of N, E, P and L personality scales.

Download PDF sample

A Handbook of Test Construction: Introduction to Psychometric Design by Paul Kline

by George

Rated 4.67 of 5 – based on 44 votes