to many, however, it constantly appears as an instructional problem. The final two chapters serve as excellent summary statements. Chapter 13 emphasizes the application of previous text material to the classroom situation. Of great significance is the author's discussion of commonly defined independent, dependent, and moderator variables. The final chapter focuses on evaluation in the overall sense, particularly as it relates to programs of study. The principles of measurement and research design are applied to the evaluation process through several ex-

Educational Research: Competencies for Analysis and Application:

Pedagosko i psiholosko testiranje i procjenjivanje spadaju među najvažnije doprinose znanosti o ponasanju nasem drustvu i pružaju temeljna i znacajna poboljsanja u odnosu na ranije postupke. Iako se ne može ustvrditi da su svi testovi dovoljno usavrseni niti da su sva testiranja razborita i korisna, postoji velika kolicina informacija koje ukazuju na ucinkovitost kvalitetnih instrumenata u onim situacijama u kojima je njihovo koristenje potkrijepljeno validacijskim podacima. Pravilna upotreba testova može dovesti do boljih odluka o pojedincima i programima nego sto bi to bio slucaj bez njihovog koristenja, a također i ukazati na put za siri i pravedniji pristup obrazovanju i zaposljavanju. Međutim, losa upotreba testova može dovesti do zamjetne stete nanesene ispitanicima i drugim sudionicima u procesu donosenja odluka na temelju testovnih podataka. Cilj Standarda je promoviranje kvalitetne i eticne upotrebe testova te uspostavljanje osnovice za ocjenu kvalitete postupaka testiranja. Svrha objavljivanja Standarda je uspostavljanje kriterija za evaluaciju testova, provedbe testiranja i posljedica upotrebe testova. Iako bi evaluacija prikladnosti testa ili njegove primjene trebala ovisiti prvenstveno o strucnim misljenjima, Standardi pružaju okvir koji osigurava obuhvacanje svih relevantnih pitanja. Bilo bi poželjno da svi autori, sponzori, nakladnici i korisnici profesionalnih testova usvoje Standarde te da poticu druge da ih također prihvate.

Standards for educational and psychological testing

Principles and Practice of Structural Equation Modeling (2nd ed.)

A wide variety of media can be used in learning, including distance learning, such as print, lectures, conference sections, tutors, pictures, video, sound, and computers. Any one instance of distance learning will make choices among these media, perhaps using several.

Multimedia in Learning

(1998). Human cognitive abilities: A survey of factor analytic studies. Gifted and Talented International: Vol. 13, No. 2, pp. 97-98.

Human cognitive abilities: A survey of factor analytic studies

In this study, the authors compare the validity of three nonverbal tests for the purpose of identifying academically gifted English-language learners (ELLs). Participants were 1,198 elementary children (approximately 40% ELLs). All were administered the Raven Standard Progressive Matrices (Raven), the Naglieri Nonverbal Ability Test (NNAT), and Form 6 of the Cognitive Abilities Test (CogAT). Results show that the U.S. national norms for the Raven substantially overestimate the number of high-scoring children; that because of errors in norming, the NNAT overestimates the number of both high-scoring and low-scoring children; that primary-level ELL children score especially poorly on the NNAT; that the standard error of measurement was twice as large for the NNAT as for the Raven or the CogAT; that ELL children scored .5 to .67 standard deviations lower than non-ELL children on the three nonverbal tests; and that none of the nonverbal tests predict achievement for ELL students very well. Putting Research to Use: Do nonverbal reasoning tests level the field for ELL children? Many practitioners have assumed that they do. However ELL children in this study scored 8 to 10 points lower than non-ELL children on the three nonverbal tests. The study also shows that practitioners cannot assume that national norms on the tests are of comparable quality. When put on the same scale as CogAT, Raven scores averaged 10 points higher than CogAT and NNAT scores. For NNAT, the mean is correct but the variability was up to 40% too large. Thus, when using national norms, both the Raven and NNAT will substantially overestimate the number of high-scoring children.

Identifying Academically Gifted English-Language Learners Using Nonverbal Tests A Comparison of the Raven, NNAT, and CogAT

Background Strand, Deary, and Smith (2006) reported an analysis of sex differences on the Cognitive Abilities Test (CAT) for over 320,000 UK students 11–12 years old. Although mean differences were small, males were overrepresented at the upper and lower extremes of the score distributions on the quantitative and non-verbal batteries and at the lower extreme of the verbal battery.



Aims We investigate whether these results were unique to the UK or whether they would be seen in other countries, at other grades, cohorts, or forms of the test.



Sample The sample consisted of three nationally representative cohorts of US students in grades 3 through 11 (total N = 318,599) for the 1984, 1992, and 2000 standardizations of the US version of the CAT.



Methods We replicated and extended the Strand et al. (2006) results by comparing the proportions of males and females at each score level across countries (UK vs. US), grades (3–11), and cohorts/test forms (Forms 4, 5, and 6 standardized in 1984, 1992, and 2000, respectively).



Results The results showed an astonishing consistency in sex differences across countries, grades, cohorts, and test forms.



Conclusions Implications for the current debate about sex differences in quantitative reasoning abilities are discussed.

Consistencies in sex differences on the Cognitive Abilities Test across countries, grades, test forms, and cohorts.

Extreme discrepancies in abilities are more common among the most and least able students than among average ability children. Therefore, procedures for identifying gifted children that deliberately or inadvertently rely on a composite score that averages across ability domains will exclude many children who reason exceptionally well in particular symbol systems. In this article, we first discuss general issues in the measurement of ability profiles. We then introduce a method for categorizing score profiles and finally document the reliability and stability of score profiles using the 2000 standardization data of the Cognitive Abilities Test (Lohman & Hagen, 2001a).

/pdf/the-commonality-of-extreme-discrepancies-in-the-ability-4hm89albzp.pdf

The Commonality of Extreme Discrepancies in the Ability Profiles of Academically Gifted Students

Effective talent-identification procedures minimize the proportion of students whose subsequent performance indicates that they were mistakenly included in or excluded from the program. Classification errors occur when students who were predicted to excel subsequently do not excel or when students who were not predicted to excel do. Using a longitudinal sample, we assessed the accuracy of measures of verbal reasoning, quantitative reasoning, nonverbal reasoning, and current achievement for predicting later achievement. We found that seemingly small differences in predictive validity substantially changed the number of students erroneously included or excluded from the program. Surprisingly, nonverbal tests not only led to more classification errors but also failed to identify more English language learners and minority students. To increase equity and maintain fairness, practitioners should carefully evaluate claims that scores from alternative assessments are as valid as scores from conventional ability ...

http://journals.sagepub.com/doi/pdf/10.1177/016235321103400404

The Predictive Accuracy of Verbal, Quantitative, and Nonverbal Reasoning Tests: Consequences for Talent Identification and Program Diversity

Sex differences in reasoning abilities: Surprising evidence that male–female ratios in the tails of the quantitative reasoning distribution have increased

Joni M. Lakin

Papers

Identifying Academically Gifted English-Language Learners Using Nonverbal Tests A Comparison of the Raven, NNAT, and CogAT

Consistencies in sex differences on the Cognitive Abilities Test across countries, grades, test forms, and cohorts.

The Commonality of Extreme Discrepancies in the Ability Profiles of Academically Gifted Students

The Predictive Accuracy of Verbal, Quantitative, and Nonverbal Reasoning Tests: Consequences for Talent Identification and Program Diversity

Sex differences in reasoning abilities: Surprising evidence that male–female ratios in the tails of the quantitative reasoning distribution have increased