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  • B Barak
  • 1987
An exploratory field study was undertaken to explore the way in which age-concepts are experienced, and to assess the relationship of age identities to each other. In addition, this study seeks to establish a new multidimensional age scale, Cognitive Age, to replace the well-established standard scale, Identity Age. This research also functions as a(More)
This empirical study, based on a random self-report mail survey, explored perceptions of age among mature Americans aged 60+. Respondents were members of a systematic probability sample located in the Mid Atlantic region. Two inner-age dimensions were considered: the first, Cognitive Age, is a measure of self-perceived age and assesses a person's "actual"(More)
Results from a mail survey of respondents aged sixty to ninety-four suggest that psychographic dimensions of youthfulness and identification with old age constitute effective inner-age research variables, especially to those seeking to study older populations. The two specific dimensions explored are: "perceived youth," a magnitude measure of the(More)
  • B Barak
  • 1998
A comprehensive survey examined three age-role self-concepts: cognitive, ideal, and social ages. Participants were forty to sixty-nine years old and viewed themselves as middle-aged. The investigation reviewed inner-age research and evaluated inner-age infra-structure (with t-tests and correlations), as well as connections between inner-age and(More)
Different approaches for the prediction of average Silicon Nitride cap layer thickness for the Plasma Enhanced Chemical Vapor Deposition (PECVD) dual-layer metal passivation stack process are compared, based on metrology and production equipment Fault Detection and Classification (FDC) data. Various sets of FDC parameters are processed by different(More)
Steenkamp and Baumgartner (1998) developed a procedure to assess measurement invariance across cultures. The study presented here applied their procedure to a scale to measure cognitive age (Barak, 1979; 1987; 1998; Barak and Schiffman, 1981) and relied on data collected in three Non-Western societies: India (N=195), China (N=250), and Korea (N=251). The(More)
Advanced Process Control (APC) is an important research area in Semiconductor Manufacturing (SM) to improve process stability crucial for product quality. In low-volume-high-mixture fabrication plants (fabs), Knowledge Discovery in Databases is extremely challenging due to complex technology mixtures and reduced availability of data for comparable process(More)
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