1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

Regression Diagnostics: Identifying Influential Data and Sources of Collinearity

The diffusion decision model allows detailed explanations of behavior in two-choice discrimination tasks. In this article, the model is reviewed to show how it translates behavioral data—accuracy, mean response times, and response time distributions—into components of cognitive processing. Three experiments are used to illustrate experimental manipulations of three components: stimulus difficulty affects the quality of information on which a decision is based; instructions emphasizing either speed or accuracy affect the criterial amounts of information that a subject requires before initiating a response; and the relative proportions of the two stimuli affect biases in drift rate and starting point. The experiments also illustrate the strong constraints that ensure the model is empirically testable and potentially falsifiable. The broad range of applications of the model is also reviewed, including research in the domains of aging and neurophysiology.

The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks

Child psychiatrists, pediatricians, and other child clinicians need to have a solid understanding of child language development. There are at least four important reasons that make this necessary. First, slowing, arrest, and deviation of language development are highly associated with, and complicate the course of, child psychopathology. Second, language competence plays a crucial role in emotional and mood regulation, evaluation, and therapy. Third, language deficits are the most frequent underpinning of the learning disorders, ubiquitous in our clinical populations. Fourth, clinicians should not confuse the rich linguistic and dialectal diversity of our clinical populations with abnormalities in child language development. The challenge for the clinician becomes, then, how to get immersed in the captivating field of child language acquisition without getting overwhelmed by its conceptual and empirical complexity. In the past 50 years and since the seminal works of Roger Brown, Jerome Bruner, and Catherine Snow, child language researchers (often known as developmental psycholinguists) have produced a remarkable body of knowledge. Linguists such as Chomsky and philosophers such as Grice have strongly influenced the science of child language. One of the major tenets of Chomskian linguistics (known as generative grammar) is that children’s capacity to acquire language is “hardwired” with “universal grammar”—an innate language acquisition device (LAD), a language “instinct”—at its core. This view is in part supported by the assertion that the linguistic input that children receive is relatively dismal and of poor quality relative to the high quantity and quality of output that they manage to produce after age 2 and that only an advanced, innate capacity to decode and organize linguistic input can enable them to “get from here (prelinguistic infant) to there (linguistic child).” In “Constructing a Language,” Tomasello presents a contrasting theory of how the child acquires language: It is not a universal grammar that allows for language development. Rather, human cognition universals of communicative needs and vocal-auditory processing result in some language universals, such as nouns and verbs as expressions of reference and predication (p. 19). The author proposes that two sets of cognitive skills resulting from biological/phylogenetic adaptations are fundamental to the ontogenetic origins of language. These sets of inherited cognitive skills are intentionreading on the one hand and pattern-finding, on the other. Intention-reading skills encompass the prelinguistic infant’s capacities to share attention to outside events with other persons, establishing joint attentional frames, to understand other people’s communicative intentions, and to imitate the adult’s communicative intentions (an intersubjective form of imitation that requires symbolic understanding and perspective-taking). Pattern-finding skills include the ability of infants as young as 7 months old to analyze concepts and percepts (most relevant here, auditory or speech percepts) and create concrete or abstract categories that contain analogous items. Tomasello, a most prominent developmental scientist with research foci on child language acquisition and on social cognition and social learning in children and primates, succinctly and clearly introduces the major points of his theory and his views on the origins of language in the initial chapters. In subsequent chapters, he delves into the details by covering most language acquisition domains, namely, word (lexical) learning, syntax, and morphology and conversation, narrative, and extended discourse. Although one of the remaining domains (pragmatics) is at the core of his theory and permeates the text throughout, the relative paucity of passages explicitly devoted to discussing acquisition and proBOOK REVIEWS

Constructing a language: A usage-based theory of language acquisition

The complete title of this book runs ‘Analyzing Linguistic Data: A Practical Introduction to Statistics using R’ and as such it very well reflects the purpose and spirit of the book. The author guides the reader in about 350 pages from descriptive and basic statistical methods over classification and clustering to (generalised) linear and mixed models. Each of the methods is introduced in the context of concrete linguistic problems and demonstrated on exciting datasets from current research in the language sciences. In line with its practical orientation, the book focuses primarily on using the methods and interpreting the results. This implies that the mathematical treatment of the techniques is held at a minimum if not absent from the book. In return, the reader is provided with very detailed explanations on how to conduct the analyses using R [1]. The first chapter sets the tone being a 20-page introduction to R. For this and all subsequent chapters, the R code is intertwined with the chapter text and the datasets and functions used are conveniently packaged in the languageR package that is available on the Comprehensive R Archive Network (CRAN). With this approach, the author has done an excellent job in enabling researchers and students alike to reproduce the analyses and learn by doing. Another quality as a textbook is the fact that every chapter ends with Workbook sections where the user is invited to exercise his or her analysis skills on supplemental datasets. Full solutions including code, results and comments are given in Appendix A (30 pages). Instructors are therefore very well served by this text, although they might want to balance the book with some more mathematical treatment depending on the target audience. After the introductory chapter on R, the book opens on graphical data exploration. Chapter 3 treats probability distributions and common sampling distributions. Under basic statistical methods (Chapter 4), distribution tests and tests on means and variances are covered. Chapter 5 deals with clustering and classification. Strangely enough, the clustering section has material on PCA, factor analysis, correspondence analysis and includes only one subsection on clustering, devoted notably to hierarchical partitioning methods. The classification part deals with decision trees, discriminant analysis and support vector machines. The regression chapter (Chapter 6) treats linear models, generalised linear models, piecewise linear models and a substantial section on models for lexical richness. The final chapter on mixed models is particularly interesting as it is one of the few text book accounts that introduce the reader to using the (innovative) lme4 package of Douglas Bates which implements linear mixed-effects models. Moreover, the case studies included in this

Analyzing linguistic data: a practical introduction to statistics using R

Neurolinguists, beware! The bilingual is not two monolinguals in one person.

The Bilingual Aphasia Test is a comprehensive language test designed to assess the differential loss or sparing of various language functions in previously bilingual individuals. The individual is tested, separately, in each language he or she previously used, and then in the two languages simultaneously. The testing is multimodal -- sampling hearing, speaking, reading, and writing; and multidimensional -- testing various linguistic levels (phonological, morphological, syntactic, lexical, and semantic), tasks (comprehension, repetition, judgment, lexical access and propositionizing), and units (words, sentences, and paragraphs). The BAT is structured as follows: * To test a bilingual aphasic, you will need the following testing elements: the stimulus books for each of the languages in which the individual was formerly fluent, the single-language tests for each of these languages, as well as the bilingual test that links them. For example, if you are testing an English-French bilingual aphasic, you will need an English stimulus book, a French stimulus book, an English single-language test, a French single-language test, and an English-French bilingual test. * The BAT can also be used to test monolingual aphasics. To test for monolingual aphasia, you will need the stimulus book and the single-language test in the language in which the individual was formerly fluent. * Professor Paradis' book, The Assessment of Bilingual Aphasia, provides the background material and serves as the manual for the test. The BAT is available in dozens of languages and language pairs. There are now 106 bilingual pairs available. Additional single-language and bilingual tests are being prepared continuously. If the language (or language pair) you need is not listed, please call LEA to find out if and when it will be available. Single-language materials are now available in: Amharic Arabic (Jordanian) Arabic (Maghrebian) Armenian (Eastern) Armenian (Western) Azari Basque Berber Bulgarian Catalan Chinese (Cantonese) Chinese (Mandarin) Croatian Czech Danish Dutch English Farsi Finnish French Friulian Galician German Greek Hebrew Hindi Hungarian Icelandic Inuktitut Italian Japanese Kannada Korean Kurdish Latvian Lithuanian Luganda Malagasy Norwegian Oryia Polish Portuguese (Brazilian) Portuguese (European) Rumanian Russian Somali Spanish (American) Spanish (European) Swahili Swedish Tagalog Tamil Turkish Ukrainian Urdu Vietnamese Yiddish Bilingual pairs are now available in: Amharic/English Amharic/French Arabic/Armenian Arabic/English Arabic/French Arabic/Somali Arabic/Swahili Armenian/English Armenian/Farsi Armenian/French Armenian/Russian Basque/English Basque/French Basque/Spanish Berber/English Berber/French Bulgarian/English Bulgarian/French Bulgarian/German Bulgarian/Russian Catalan/Spanish Chinese (Cantonese)/English Chinese (Mandarin)/English Chinese/French Croatian/English Croatian/French Croatian/Italian Czech/English Czech/German Czech/Russian Czech/Swedish Danish/English Danish/German Dutch/English Dutch/French Dutch/German Dutch/Hebrew English/Farsi English/Finnish English/French English/Friulian English/German English/Greek English/Hebrew English/Hindi English/Hungarian English/Icelandic English/Italian English/Japanese English/Korean English/Latvian English/Lithuanian English/Luganda English/Norwegian English/Polish English/Portuguese English/Rumanian English/Russian English/Serbian English/Somali English/Spanish English/Swahili English/Swedish English/Tagalog English/Turkish English/Urdu English/Vietnamese Farsi/French Farsi/Hebrew Finnish/French Finnish/Swedish French/Friulian French/German French/Greek French/Hebrew French/Hungarian French/Italian French/Japanese French/Malagasy French/Polish French/Rumanian French/Russian French/Serbian French/Somali French/Spanish French/Swahili French/Urdu French/Vietnamese Friulian/German Friulian/Italian Galician/Spanish German/Greek German/Hebrew German/Hungarian German/Italian German/Polish German/Russian German/Spanish German/Swedish Greek/Spanish Greek/Turkish Italian/Rumanian Italian/Spanish Portuguese/Spanish Russian/Swedish Somali/Swahili

The Assessment of Bilingual Aphasia

Compound fracture: the role of semantic transparency and morphological headedness.

This article examines the extent to which lexical bundles (LBs; i.e., frequently recurring strings of words that often span traditional syntactic boundaries) are stored and processed holistically. Three self-paced reading experiments compared sentences containing LBs (e.g., in the middle of the) and matched control sentence fragments (e.g., in the front of the). LBs and sentences containing LBs were read faster than the control sentence fragments in all three experiments. Two follow-up word and sentence recall experiments demonstrated that more sentences containing LBs were correctly remembered. Consistent with construction-type models of language, these results suggest that regular multiword sequences leave memory traces in the brain.

Processing Advantages of Lexical Bundles: Evidence from Self-Paced Reading and Sentence Recall Tasks.

Semantic Transparency in the Processing of Compounds: Consequences for Representation, Processing, and Impairment

1. Why Study Compound Processing? An Overview of the Issues 2. Compound Types 3. Compound Representation and Processing 4. The Neuropsychology of Compound Words 5. Preschool Children's Acquisition of Compounds 6. Doghouse/Chien-maison/Niche: Compounds in Bilinguals 7. Conceptual Combination: Implictions for the Mental Lexicon 8. Processing Chinese Compounds: A Survey of the Literature References Index

Gary Libben

Papers

The Assessment of Bilingual Aphasia

Compound fracture: the role of semantic transparency and morphological headedness.

Processing Advantages of Lexical Bundles: Evidence from Self-Paced Reading and Sentence Recall Tasks.

Semantic Transparency in the Processing of Compounds: Consequences for Representation, Processing, and Impairment

The Representation and Processing of Compound Words