313
Views
3
CrossRef citations to date
0
Altmetric
Articles

Interrogating paradigmatic and narrative analyses against a backdrop of teacher professionalism

Pages 137-150 | Received 09 Mar 2009, Accepted 10 Mar 2009, Published online: 12 Jun 2009
 

Abstract

In response to Denzin and Lincoln’s claim that using a variety of interpretive analyses enables a better understanding of the world, I examine two different analyses of the same data set. Using a survey of preservice elementary education students (n = 208) asked to describe their perceptions of teacher professionalism, I contrast the application of Polkinghorne’s paradigmatic and narrative analyses. Using the crises of representation, legitimization and praxis, I interrogate both sets of results making an argument for the value of multiple and varied analyses.

Notes

1. Italics cited by a bracketed number refer to a specific survey response with the number identifying the survey from which the response was transcribed.

2. Synchronic data lack the historical and developmental dimension. They are framed as categorical answers to questions put by an interviewer (Mishler Citation1986) and provide information about the present situation or belief of an informant (Polkinghorne Citation1995, 12).

3. To maintain a high degree of transparency, I again use italics (and survey numbers) to identify where the words in my narrative story come from. I represent my voice with the standard font.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,063.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.