Creative job analysis techniques of astronaut using archival data

2010 ◽  
Author(s):  
Kathryn Keeton ◽  
Holly Patterson ◽  
Lacey L. Schmidt ◽  
Kelley J. Slack ◽  
Camille Shea
1993 ◽  
Vol 22 (4) ◽  
pp. 551-563 ◽  
Author(s):  
William Wooten

Job analytic methodology was used to identify knowledge, skill and ability (KSA) dimensions of four classes of jobs (secretarial/clerical, managerial/administrative, professional/technical and service). The KSA's were then identified as either selection or training criteria (critical for the development of selection tests or training programs). The feasibility of establishing career paths between the secretarial/clerical jobs (source jobs) and the managerial/administrative jobs (target jobs) was evaluated by comparing the selection and training criteria of the source job to the critical (important) knowledge, skills and abilities (KSAs) of the target jobs. It was found that when the critical KSAs for the managerial/administrative positions were rated using job analysis techniques, they significantly correlated with the content identified as part of the secretarial/clerical jobs. Sixty-eight percent (68%) of the KSAs identified as important for performance in the managerial/administrative jobs were also identified as important for the performance in the secretarial/clerical jobs. Further, 81% of the target jobs' KSAs not found to be source job selection criteria were found to be source job training criteria. The implications are that job analysis methodology can be used to identify possible career paths, and that career paths can be established between secretarial/clerical jobs and entry level administrative/managerial jobs.


1993 ◽  
Vol 73 (2) ◽  
pp. 445-446
Author(s):  
Michael D. Coovert

Job analysis techniques rely upon the recall of job knowledge from memory, yet little is known about how job information is organized. Five models (four schematically derived and one statistically based) were developed and examined for their effects on the ratings of time spent. Analyses indicate any of the strategies for organizing statements about the task increases the quality of responses compared to a random ordering.


Author(s):  
John A. Hunt

Spectrum-imaging is a useful technique for comparing different processing methods on very large data sets which are identical for each method. This paper is concerned with comparing methods of electron energy-loss spectroscopy (EELS) quantitative analysis on the Al-Li system. The spectrum-image analyzed here was obtained from an Al-10at%Li foil aged to produce δ' precipitates that can span the foil thickness. Two 1024 channel EELS spectra offset in energy by 1 eV were recorded and stored at each pixel in the 80x80 spectrum-image (25 Mbytes). An energy range of 39-89eV (20 channels/eV) are represented. During processing the spectra are either subtracted to create an artifact corrected difference spectrum, or the energy offset is numerically removed and the spectra are added to create a normal spectrum. The spectrum-images are processed into 2D floating-point images using methods and software described in [1].


Author(s):  
A. Garg ◽  
W.A.T. Clark ◽  
J.P. Hirth

In the last twenty years, a significant amount of work has been done in the theoretical understanding of grain boundaries. The various proposed grain boundary models suggest the existence of coincidence site lattice (CSL) boundaries at specific misorientations where a periodic structure representing a local minimum of energy exists between the two crystals. In general, the boundary energy depends not only upon the density of CSL sites but also upon the boundary plane, so that different facets of the same boundary have different energy. Here we describe TEM observations of the dissociation of a Σ=27 boundary in silicon in order to reduce its surface energy and attain a low energy configuration.The boundary was identified as near CSL Σ=27 {255} having a misorientation of (38.7±0.2)°/[011] by standard Kikuchi pattern, electron diffraction and trace analysis techniques. Although the boundary appeared planar, in the TEM it was found to be dissociated in some regions into a Σ=3 {111} and a Σ=9 {122} boundary, as shown in Fig. 1.


Author(s):  
J. P. Benedict ◽  
R. M. Anderson ◽  
S. J. Klepeis

Ion mills equipped with flood guns can perform two important functions in material analysis; they can either remove material or deposit material. The ion mill holder shown in Fig. 1 is used to remove material from the polished surface of a sample for further optical inspection or SEM ( Scanning Electron Microscopy ) analysis. The sample is attached to a pohshing stud type SEM mount and placed in the ion mill holder with the polished surface of the sample pointing straight up, as shown in Fig 2. As the holder is rotating in the ion mill, Argon ions from the flood gun are directed down at the top of the sample. The impact of Argon ions against the surface of the sample causes some of the surface material to leave the sample at a material dependent, nonuniform rate. As a result, the polished surface will begin to develop topography during milling as fast sputtering materials leave behind depressions in the polished surface.


1984 ◽  
Vol 15 (3) ◽  
pp. 154-168 ◽  
Author(s):  
Mary Ann Lively

Developmental Sentence Scoring (DSS) is a useful procedure for quantifying thegrammatic structure of children's expressive language. Like most language analysis techniques, however, DSS requires considerable study and practice to use it correctly and efficiently. Clinicians learning DSS tend to make many scoring errors at first and they display similar confusions and mistakes. This article identifies some of these common "problem" areas and provides scoring examples to assist clinicians in learning the DSS procedure.


2016 ◽  
Vol 21 (6) ◽  
pp. 5-11
Author(s):  
E. Randolph Soo Hoo ◽  
Stephen L. Demeter

Abstract Referring agents may ask independent medical evaluators if the examinee can return to work in either a normal or a restricted capacity; similarly, employers may ask external parties to conduct this type of assessment before a hire or after an injury. Functional capacity evaluations (FCEs) are used to measure agility and strength, but they have limitations and use technical jargon or concepts that can be confusing. This article clarifies key terms and concepts related to FCEs. The basic approach to a job analysis is to collect information about the job using a variety of methods, analyze the data, and summarize the data to determine specific factors required for the job. No single, optimal job analysis or validation method is applicable to every work situation or company, but the Equal Employment Opportunity Commission offers technical standards for each type of validity study. FCEs are a systematic method of measuring an individual's ability to perform various activities, and results are matched to descriptions of specific work-related tasks. Results of physical abilities/agilities tests are reported as “matching” or “not matching” job demands or “pass” or “fail” meeting job criteria. Individuals who fail an employment physical agility test often challenge the results on the basis that the test was poorly conducted, that the test protocol was not reflective of the job, or that levels for successful completion were inappropriate.


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