for visualizing the underlying social practices of Usenet discussions. Using common factor analysis of word frequency lists extracted from a corpus of soc.culture Usenet messages, I present displays that are organized by language, topic of discussion, and frequency of interaction. Thus, by using information

analysis. We then illustrate the three different approaches to qualitative content analysis with hypothetical studies to explicate the issues of study design and analytical procedures for each approach.

This paper makes an attempt to examine the strategies incorporated by members in urban and rural families while trying to resolve conflict(s) at the time ofmaking purchases. It is imperative for marketers to understand dynamics offamily decision making process, from which conflicts arise between spouses in the course ofdecision making as also their resolution, both ofwhich are interlinked, hence need considerable attention. Suchan analysis helps marketers inframing their promotional strategies to the member(s) most influential in making purchase decision such that divergence ofopinion between members is minimised. I n the past, the researchers focussed on outcomes inthe buying decision process in terms of 'whodecides ' in families at the time of making purchases. Of late, exploration of the buying process has been established as necessary to understand as to 'how' purchase decisions are made in families (Davis, 1976). In the course of making decisions, when family members participate, they put forth their individual preferences and try to have the final decision in favour oftheir choice. Ifmore than one family member tries to persuade others towards his/her preferred choice, it is quite possible that

analytic approach This study discusses and demonstrates a lean modeling process that is used to identify a parsimonious set of informa-tion essential in Financial Statement Analysis (FSA) for decision making. Although FSA has been widely used to pro-file corporate financial performance, it is still

second part of the study (in 1992) administered questionnaires to adults (age 53 to 92) in retirement communities and senior activity centers; and to 125 church members in a college town of 20,000. Researchers for the study used factor analysis because it focuses attention on commonalities among a broad

Despite the widespread use of exploratory factor analysis in psychological research, researchers often make questionable decisions when conducting these analyses. This article reviews the major design and analytical decisions that must be made when conducting a factor analysis and notes that each

As the Netflix Prize competition has demonstrated, matrix factorization models are superior to classic nearest-neighbor techniques for producing product recommendations, allowing the incorporation of additional information such as implicit feedback, temporal effects, and confidence levels. Modern

discuss the comparative advantages of this approach over a one-step approach. Considerations in specification, assessment of fit, and respecification of measurement models using confirmatory factor analysis are reviewed. As background to the two-step approach, the distinction between exploratory

This article presents a simple yet powerful new approach for approximating the value of America11 options by simulation. The kcy to this approach is the use of least squares to estimate the conditional expected payoff to the optionholder from continuation. This makes this approach readily

the data is aggregated and stored for offline querying and analysis. This approach has two major drawbacks. First, the user cannot change the behavior of the system on the fly. Second, conservation of battery power is a major design factor, but a central system cannot make use of in-network programming