Hasil untuk "Analysis"

Peter B. Doeringer, M. Piore

In what case do you like reading so much? What about the type of the internal labor markets and manpower analysis book? The needs to read? Well, everybody has their own reason why should read some books. Mostly, it will relate to their necessity to get knowledge from the book and want to read just to get entertainment. Novels, story book, and other entertaining books become so popular this day. Besides, the scientific books will also be the best reason to choose, especially for the students, teachers, doctors, businessman, and other professions who are fond of reading.

C. Aggarwal

Stefan Wilhelm, A. J. Tavares, Qin Dai et al.

A. Klute, Dwayne R. Buxton editor-in-chief Asa publications, John J. Mortvedt. editor-in-chief Sssa publications

L. Kelley, Stefans Mezulis, C. Yates et al.

S. Elo, M. Kääriäinen, O. Kanste et al.

Qualitative content analysis is commonly used for analyzing qualitative data. However, few articles have examined the trustworthiness of its use in nursing science studies. The trustworthiness of qualitative content analysis is often presented by using terms such as credibility, dependability, conformability, transferability, and authenticity. This article focuses on trustworthiness based on a review of previous studies, our own experiences, and methodological textbooks. Trustworthiness was described for the main qualitative content analysis phases from data collection to reporting of the results. We concluded that it is important to scrutinize the trustworthiness of every phase of the analysis process, including the preparation, organization, and reporting of results. Together, these phases should give a reader a clear indication of the overall trustworthiness of the study. Based on our findings, we compiled a checklist for researchers attempting to improve the trustworthiness of a content analysis study. The discussion in this article helps to clarify how content analysis should be reported in a valid and understandable manner, which would be of particular benefit to reviewers of scientific articles. Furthermore, we discuss that it is often difficult to evaluate the trustworthiness of qualitative content analysis studies because of defective data collection method description and/or analysis description.

Jianjiong Gao, B. A. Aksoy, U. Dogrusoz et al.

K. Seers

T. Landauer, S. Dumais

A new method for automatic indexing and retrieval is described. The approach is to take advantage of implicit higher-order structure in the association of terms with documents ("semantic structure") in order to improve the detection of relevant documents on the basis of terms found in queries. The particular technique used is singular-value decomposition, in which a large term by document matrix is decomposed into a set of ca 100 orthogonal factors from which the original matrix can be approximated by linear combination. Documents are represented by ca 100 item vectors of factor weights. Queries are represented as pseudo-document vectors formed from weighted combinations of terms, and documents with supra-threshold cosine values are returned. Initial tests find this completely automatic method for retrieval to be promising.

Marti J. Anderson

Timothy A. Brown

S. Johansen

K. Liang, S. Zeger

L. Kaufman, P. Rousseeuw

J. Barrett, B. Fry, J. Maller et al.

M. Miles, A. Huberman

R. Duda, P. Hart

Anna Costello, Jason W. Osborne

C. Torrence, G. Compo

F. Clarke