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The standards for educational and psychological testing.

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In this article, the authors present a survey of sales in terms of total units sold in the United States for the years 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018
Abstract
Period Notes No. of Units FY 1999 FY 2000 FY 2001 FY 2002 FY 2003 FY 2004 FY 2005 FY 2006 7/1/06-12/31/06 FY 2007 FY 2008 FY 2009 FY 2010 FY 2011 FY 2012 FY 2013 FY 2014 Total Units Sold est. est. est. est. est. est. Actual Actual Actual Actual Actual Actual Actual Actual Actual Actual Actual 1,768 3,797 3,755 5,592 3,310 3,218 3,803 3,888 2,144 3,077 3,358 2,590 3,043 2,132 1,649 1,732 855 49,710

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Journal ArticleDOI

Establishing Content-Oriented Evidence for Psychological Assessments

TL;DR: In this paper, the authors introduce evidence of validity and content-oriented evidence for developing and testing psychological and educational assessments, which is the foundation of developing and evaluating psychological and education assessments.
Journal ArticleDOI

Interpreter-Mediated Neuropsychological Testing of Monolingual Spanish Speakers

TL;DR: Investigation of whether using an interpreter to conduct neuropsychological testing of monolingual Spanish speakers affects test scores indicated that interpreter use significantly increased scores on Vocabulary and Similarities; however, scores on Block Design and Matrix Reasoning did not differ depending on whether or not an interpreter was used.
Journal ArticleDOI

COVID-19 as the tipping point for integrating e-assessment in higher education practices

TL;DR: In this paper, the authors conducted semi-structured interviews with thirty-one individuals six months into the COVID-19 pandemic to identify what is required to sustain and favour future quality development and implementation of e-assessment in higher education.
Journal ArticleDOI

Situating Standard Setting within Argument-Based Validity

TL;DR: It is argued that standard setting is an essential part of test development and validation because of the important consequences cut scores might have for decision-making and should be an integral part of the validity argument supporting score use and interpretation.
Journal ArticleDOI

The incremental contribution of TOEIC® Listening, Reading, Speaking, and Writing tests to predicting performance on real-life English language tasks

TL;DR: This article used self-assessments by some 2300 TOEIC test takers to show that language performance in a particular domain (speaking, for instance) can be predicted by using a test that corresponds specifically to that domain (i.e., the TOTEIC Speaking test), but also that it can be even better predicted by supplementing domain-related scores with scores that do not correspond directly to the target domain.
References
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Journal ArticleDOI

Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives

TL;DR: In this article, the adequacy of the conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice were examined, and the results suggest that, for the ML method, a cutoff value close to.95 for TLI, BL89, CFI, RNI, and G...
Journal ArticleDOI

Convergent and discriminant validation by the multitrait-multimethod matrix.

TL;DR: This transmutability of the validation matrix argues for the comparisons within the heteromethod block as the most generally relevant validation data, and illustrates the potential interchangeability of trait and method components.
Journal ArticleDOI

Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance

TL;DR: In this paper, the authors examined the change in the goodness-of-fit index (GFI) when cross-group constraints are imposed on a measurement model and found that the change was independent of both model complexity and sample size.
Journal ArticleDOI

A Review and Synthesis of the Measurement Invariance Literature: Suggestions, Practices, and Recommendations for Organizational Research

TL;DR: The establishment of measurement invariance across groups is a logical prerequisite to conducting substantive cross-group comparisons (e.g., tests of group mean differences, invariance of structura, etc.).