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Books on the topic 'Language sampling'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Language sampling with adolescents. San Diego: Plural Pub., 2010.

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2

Language sampling with adolescents: Implications for intervention. San Diego, CA: Plural Publishing Inc., 2014.

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3

Tyack, Dorothy. Language sampling, analysis, and training: A handbook. 3rd ed. Austin, Tex: Pro.ed, 1999.

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4

A handbook of English grammar and language sampling. Englewood Cliffs, N.J: Prentice-Hall, 1988.

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5

Gardner, Sheena. Focus on language sampling: A key issue in EAL assessment. Warwick: NALDIC, 2002.

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6

Gore, Vivek. A quasi-polynomial-time algorithm for sampling words from a context-free language. Edinburgh: LFCS, Dept. of Computer Science, University of Edinburgh, 1995.

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7

Gao, Xiaohong. Sampling variability and generalizability of Word Keys listening and writing scores. Iowa City, Iowa: American College Testing Program, 1996.

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8

author, Bacci Silvia, and Gnaldi Michela author, eds. Statistical analysis of questionnaires: A unified approach based on R and Stata. Boca Raton: CRC Press, Taylor & Francos Group, 2016.

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9

Adaptive design theory and implementation using SAS and R. Boca Raton: CRC Press, 2014.

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10

Chang, Mark. Adaptive design theory and implementation using SAS and R. Boca Raton, FL: CRC Press, 2007.

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11

Adaptive design theory and implementation using SAS and R. Boca Raton: Taylor & Francis, 2008.

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12

Cognition, computers, and creative writing. Chichester, West Sussex, England: E. Horwood, 1985.

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13

Bakker, Dik. Language Sampling. Oxford University Press, 2010. http://dx.doi.org/10.1093/oxfordhb/9780199281251.013.0007.

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14

Sampling Edition- Java: Introduction to Programming. Pearson Education, Limited, 2007.

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15

Sampling Editon Speech and Lanugage Processing, 2e, Speech and Language Processing. Pearson Education, Limited, 2008.

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16

Simon, Charlann S. Evaluating communicative competence: A language sampling procedure : Instructional manual & stimulus materials. 2nd ed. Communi-Cog Publications, 1994.

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17

Sampling Edition : Java: An Introduction to Problem Solving and Programming. Pearson Education, Limited, 2008.

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18

Pérez, Efrén O. The Language-Opinion Connection. Edited by Lonna Rae Atkeson and R. Michael Alvarez. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780190213299.013.18.

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This chapter critically reflects on the deceptively simple relationship between language and survey response: the language-opinion connection. It discusses what survey researchers actually know about this link, paying close attention to challenges involving conceptualization, measurement, and research design. Throughout, the discussion emphasizes a core theme: despite great advancements in sampling, measurement, and research design, the study of language and survey response is bereft of strong theory. Thus, while the language-opinion connection seems on the surface easy to assess, public opinion researchers have modest theory to explain how, when, and among whom language influences survey response. Against this backdrop, the chapter outlines several ways forward, stressing in particular the importance of identifying and testing psychological mechanisms.

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19

Identifying asymmetry in the language of the beige book: A mixed data sampling approach. [St. Louis, Mo.]: Federal Reserve Bank of St. Louis, 2007.

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20

Suess, Eric A., and Bruce E. Trumbo. Gibbs Sampling and Screening Tests: From Random Numbers to the Gibbs Sampler (Springer Texts in Statistics). Springer, 2006.

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21

Haspelmath, Martin. A Typological Perspective on Indefinite Pronouns. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198235606.003.0002.

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This chapter examines the goals and methods of a typological perspective on indefinite pronouns. It begins with an overview of language typology and the reasons why typological research is very important to our understanding of human language. It then considers the four steps involved in a typological study. First, the domain of phenomena to be compared across languages is delimited by formulating a definition that is cross-linguistically applicable. Second, the space of typological variation is mapped out by providing a complete taxonomy of the various means by which the phenomenon under discussion is expressed in different languages. Third, correlations between individual structural options and other parts of the grammar are identified and formulated as implicational universals. Fourth, explanations for these universals are sought. General problems of typological sampling are highlighted and the two samples used in the typological study are described: the 40-language sample and the 100-language sample.

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22

Pezo-Lanfranco, Luis Nicanor. Bioarqueologia e Antropologia Forense: Métodos de escavação, recuperação e curadoria de ossos humanos. Brazil Publishing, 2021. http://dx.doi.org/10.31012/978-65-5861-376-3.

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This book presents a synthesis on the necessary methods and techniques for the correct excavation, recovery and conservation of human remains, as well as notions of sampling and analysis of bones, useful for an adequate study of funeral contexts in conventional (bio)archaeological research or forensic-anthropology. As this book was written primarily for archeology students and archeologists with little training in bone handling, the language is easy-to-follow. The book is divided into two sections that roughly correspond to the two phases in which the method of analysis of human bones can be divided. In the first section, we describe the Phase I or field work that includes recovery methods, from the prospection and identification of burial sites, excavation and recording, field-sampling techniques, to the packaging and transport of bones to the laboratory. In the second part of the book, Phase II or laboratory work, we describe the treatment that should be given to bones from their arrival to laboratory of analysis to the final storage. In this section, we show the methods of cleaning and preparation of bones for further analysis, some basic notions on restoration and conservation, and relevant information about sampling techniques and their scientific principles to obtain information from the examined individual. Along the text we emphasize the informative potential of each analysis from the bioarchaeological and anthropological-forensic viewpoint.

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23

Higgins, Jennifer, Lisa Famularo, Christopher Kurz, Jeanne Reis, and Lori Moers. Research and Development of Guidelines for ASL Translation of Education Assessments. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190455651.003.0008.

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This chapter draws from the Guidelines for Accessible Assessment Project (GAAP), a federally funded research project to create and evaluate guidelines for developing American Sign Language versions of standardized test items. The chapter begins with a brief discussion of national education policy that provides the context for GAAP and the need for evidence-based guidelines, followed by an overview of the project. The third section describes lessons learned regarding fostering effective communication and collaboration among a deaf and hearing team. The fourth section describes important considerations for researchers related to sampling, recruitment, study design, data collection, analysis, and reporting. The chapter concludes with a summary of key learnings and critical questions that researchers should consider before embarking on research in deaf education.

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24

Ratcliff, Roger, and Philip Smith. Modeling Simple Decisions and Applications Using a Diffusion Model. Edited by Jerome R. Busemeyer, Zheng Wang, James T. Townsend, and Ami Eidels. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199957996.013.3.

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The diffusion model is one of the major sequential-sampling models for two-choice decision-making and choice response time in psychology. The model conceives of decision-making as a process in which noisy evidence is accumulated until one of two response criteria is reached and the associated response is made. The criteria represent the amount of evidence needed to make each decision and reflect the decision maker’s response biases and speed-accuracy trade-off settings. In this chapter we examine the application of the diffusion model in a variety of different settings. We discuss the optimality of the model and review its applications to a number of cognitive tasks, including perception, memory, and language tasks. We also consider its applications to normal and special populations, to the cognitive foundations of individual differences, to value-based decisions, and its role in understanding the neural basis of decision-making.

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