In Chapter 2, the author introduces some basic language assessment principles and various approaches to language assessment. It begins with a discussion of stakes, objectiveness, and frame of reference. The main focus is on the difference between criterion-referenced tests, where people use tests to compare test takers’ abilities to certain standards, and norm-referenced assessments, where they use tests to compare test takers’ abilities to those of others. In this chapter, the author also introduces some approaches to language assessment, namely dynamic, learning-oriented, self-, formative, summative, and portfolio assessment. The author describes each of these approaches and discusses how they inform the approach to language assessment that guides the subsequent chapters of the book. The author also briefly describes the purpose and uses of diagnostic, placement, proficiency, and standardized tests. The chapter includes some examples that provide readers with opportunities to experience different approaches to assessment.

In Chapter 5, the author lays out the principles of uniformity – the consistency of the setting, content, and scoring procedures – and reliability, which is the consistency and stability of assessment scores. The chapter details the aspects of setting, content, and scoring procedures in various assessment contexts and what measures test users should take to maintain their consistency across test takers and test administrations. The chapter includes a discussion of the role of test accommodations, and how researchers can balance the needs of test takers with the principles of uniformity and reliability. An important feature of the chapter is the introduction of assistive technologies, such as generative artificial intelligence for helping ensure uniformity in an assessment context. The chapter concludes with a brief introduction to the concepts of test-retest, parallel forms, and internal reliability.

In Chapter 11, the author takes readers through the process of creating and using holistic and analytic rating scales for performance assessments. The author uses an example of an assessment that a team of language teachers created for measuring the abilities of young Saudi learners who were learning English as a second language in the United States. The author discusses multiple approaches to creating rating scales, including adapting existing scales, patterning scales after course standards, a theory-based approach where developers use language and assessment theory to create scales, and a performance-driven approach where developers use test taker language samples to identify distinguishing characteristics among test taker abilities. The author discusses three sample writing performances of the young Saudi learners and shows how the teachers used them to create the scales. The chapter concludes with a discussion of the process of creating and using computer scoring systems for performance assessments.

In Chapter 3, the author introduces the concepts of context, purpose, and impact. The chapter begins with a discussion of sociopolitical, cultural, and educational contextual influences on language assessments. The author uses well-known language assessment examples of these effects, including Norton and Stein’s Monkey Passage and how sociopolitical factors affected a group of Black African high school students when they took a reading assessment. The author uses Hall’s framework that considers people’s tendencies to act in certain ways depending on their cultural backgrounds and considers how these tendencies are important when designing and using an assessment for a particular purpose. The author also discusses levels of impact that an assessment can have on individuals, including its effect on test takers and their families, people who have a close relationship with test takers, and even people who do not have a close relationship with test takers.

In Chapter 10, the author introduces performance assessments: test activities that require test takers to use language in a manner similar to how they use language in the target language use situation. The chapter describes and discusses the appropriate uses of several types of tasks: prepared oral presentation, knowledge-based, retell, summary, synthesis, roleplay, interview, paired oral discussion, group oral discussion, elicited imitation, and picture tasks. The chapter also discusses the delivery of performance assessment tasks, including face-to-face, virtual, and computerized delivery models. The author compares and contrasts oral communication assessments in video-mediated and virtual environments. The chapter compares spoken dialog systems, electronic systems that can orally interact with humans, to complex language-processing models, such as ChatGPT, that generate language from large databases. The chapter includes an appendix for using ChatGPT to help create a performance assessment.