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At least 37 records · Page 2Linked to original sources
PubMed1992

Computer methods in child language research: four principles for the use of archived data.

With the increasing use of computers in language research, there is a need for caution concerning several new issues of data accountability. This paper presents four principles for archive-based language research: Maximum Readability and Minimum Bias; Consistent Encoding for exhaustive computer search; Systematic Contrastiveness; and Data Comparability in elicitation, transcription and coding. These and related principles are illustrated by examples from existing computer archives, and strategies are suggested for minimizing detrimental effects of violations. Finally, the paper describes some implications of the principles for properties of a field-wide and international standard of transcription of language data.

Archives↗
PubMed1997

Content analysis of archival data.

Content analysis can be a particularly suitable method for measuring cognitive variables from archived texts. Although content analysis has been underused by clinical psychologists, there are many benefits to this strategy. Longitudinal studies can be conducted retrospectively, the range of possible research participants can be expanded to include individuals otherwise unavailable (e.g., the famous or the dead), existing data sets can be used and reused to answer new questions, and studies across cultures and across levels of analysis (individual vs. group) can be facilitated. To illustrate the use and usefulness of content analysis to measure cognitive variables, the authors focus on the examples of causal attributions and integrative complexity, describing past research and sketching future applications to clinical research and practice.

Awareness↗
PubMed1998

Proteome analysis: biological assay or data archive?

In this review we examine the current state of proteome analysis. There are three main issues discussed: why it is necessary to study proteomes; how proteomes can be analyzed with current technology; and how proteome analysis can be used to enhance biological research. We conclude that proteome analysis is an essential tool in the understanding of regulated biological systems. Current technology, while still mostly limited to the more abundant proteins, enables the use of proteome analysis both to establish databases of proteins present, and to perform biological assays involving measurement of multiple variables. We believe that the utility of proteome analysis in future biological research will continue to be enhanced by further improvements in analytical technology.

Animals↗