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Coding second language data validly and reliably.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)

Published

Standard

Coding second language data validly and reliably. / Revesz, Andrea.
Research methods in second language acquisition :a practical guide. ed. / Alison Mackey; Susan M. Gass. Chichester: Wiley Blackwell, 2011. p. 203-221 (Guides to Research Methods in Languages and Linguistics; Vol. 3).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)

Harvard

Revesz, A 2011, Coding second language data validly and reliably. in A Mackey & SM Gass (eds), Research methods in second language acquisition :a practical guide. Guides to Research Methods in Languages and Linguistics, vol. 3, Wiley Blackwell, Chichester, pp. 203-221.

APA

Revesz, A. (2011). Coding second language data validly and reliably. In A. Mackey, & S. M. Gass (Eds.), Research methods in second language acquisition :a practical guide (pp. 203-221). (Guides to Research Methods in Languages and Linguistics; Vol. 3). Wiley Blackwell.

Vancouver

Revesz A. Coding second language data validly and reliably. In Mackey A, Gass SM, editors, Research methods in second language acquisition :a practical guide. Chichester: Wiley Blackwell. 2011. p. 203-221. (Guides to Research Methods in Languages and Linguistics).

Author

Revesz, Andrea. / Coding second language data validly and reliably. Research methods in second language acquisition :a practical guide. editor / Alison Mackey ; Susan M. Gass. Chichester : Wiley Blackwell, 2011. pp. 203-221 (Guides to Research Methods in Languages and Linguistics).

Bibtex

@inbook{f01a39fc4067463dbba9d21ab0d45d98,
title = "Coding second language data validly and reliably.",
abstract = "Data coding is a critical aspect across all areas of second language acquisition (SLA) research. Once data have been collected, it is the first major step in the measurement process. It involves organizing and classifying raw data into categories for the purpose of further analysis and interpretation. For some research, coding is quite straightforward and unambiguous. In other research, coding may be a more complex endeavor, constituting one of the most time-consuming activities in the research project. Regardless of the nature of classification, a central goal is to retain validity and reliability in the coding procedure. The aims of this chapter are to consider the concepts of validity and reliability in relation to coding, to review the various steps involved in coding, and to discuss strategies that can help to increase its validity and reliability. The focus here will be on relatively top-down, theory- and instrument-driven coding methods; qualitative coding, which emerges bottom-up from the data, is the topic of chapter 12.",
keywords = "coding, second language acquisition, validity, reliability",
author = "Andrea Revesz",
year = "2011",
language = "English",
isbn = "978-1444334272",
series = "Guides to Research Methods in Languages and Linguistics",
publisher = "Wiley Blackwell",
pages = "203--221",
editor = "Alison Mackey and Gass, {Susan M.}",
booktitle = "Research methods in second language acquisition :",

}

RIS

TY - CHAP

T1 - Coding second language data validly and reliably.

AU - Revesz, Andrea

PY - 2011

Y1 - 2011

N2 - Data coding is a critical aspect across all areas of second language acquisition (SLA) research. Once data have been collected, it is the first major step in the measurement process. It involves organizing and classifying raw data into categories for the purpose of further analysis and interpretation. For some research, coding is quite straightforward and unambiguous. In other research, coding may be a more complex endeavor, constituting one of the most time-consuming activities in the research project. Regardless of the nature of classification, a central goal is to retain validity and reliability in the coding procedure. The aims of this chapter are to consider the concepts of validity and reliability in relation to coding, to review the various steps involved in coding, and to discuss strategies that can help to increase its validity and reliability. The focus here will be on relatively top-down, theory- and instrument-driven coding methods; qualitative coding, which emerges bottom-up from the data, is the topic of chapter 12.

AB - Data coding is a critical aspect across all areas of second language acquisition (SLA) research. Once data have been collected, it is the first major step in the measurement process. It involves organizing and classifying raw data into categories for the purpose of further analysis and interpretation. For some research, coding is quite straightforward and unambiguous. In other research, coding may be a more complex endeavor, constituting one of the most time-consuming activities in the research project. Regardless of the nature of classification, a central goal is to retain validity and reliability in the coding procedure. The aims of this chapter are to consider the concepts of validity and reliability in relation to coding, to review the various steps involved in coding, and to discuss strategies that can help to increase its validity and reliability. The focus here will be on relatively top-down, theory- and instrument-driven coding methods; qualitative coding, which emerges bottom-up from the data, is the topic of chapter 12.

KW - coding

KW - second language acquisition

KW - validity

KW - reliability

M3 - Chapter (peer-reviewed)

SN - 978-1444334272

T3 - Guides to Research Methods in Languages and Linguistics

SP - 203

EP - 221

BT - Research methods in second language acquisition :

A2 - Mackey, Alison

A2 - Gass, Susan M.

PB - Wiley Blackwell

CY - Chichester

ER -