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The Michigan Alcoholism Screening Test and a shortened 13-item version can reliably be used as self-administered questionnaires.

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This study explains the structure of the English intonation system in relation to the structural systems of stress, pause, and rhythm.

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Journal Article Ann Arbor, Michigan Get access JEAN EICHELBERGER IVEY JEAN EICHELBERGER IVEY Search for other works by this author on: Oxford Academic Google Scholar The Musical Quarterly, Volume LV, Issue 1, January 1969, Pages 87–91, https://doi.org/10.1093/mq/LV.1.87 Published: 01 January 1969

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The authors report an abbreviated version of the Michigan Alcoholism Screening Test (MAST). They hypothesized, on the basis of previously published data, that scores based on ten of the questions of the MAST would be as effective in discriminating between alcoholics and nonalcoholics as scores based on all 25 questions. The responses of 60 alcoholic and 62 nonalcoholic psychiatric patients supported their hypothesis.

By 1989 the Michigan Panel Study on Income Dynamics (PSID) had experienced approximately 50 percent sample loss from cumulative attrition from its initial 1968 membership. We study the effect of this attrition on the unconditional distributions of several socioeconomic variables and on the estimates of several sets of regression coefficients. We provide a statistical framework for conducting tests for attrition bias that draws a sharp distinction between selection on unobservables and on observables and that shows that weighted least squares can generate consistent parameter estimates when selection is based on observables, even when they are endogenous. Our empirical analysis shows that attrition is highly selective and is concentrated among lower socioeconomic status individuals. We also show that attrition is concentrated among those with more unstable earnings, marriage, and migration histories. Nevertheless, we find that these variables explain very little of the attrition in the sample, and that the selection that occurs is moderated by regression-to-the-mean effects from selection on transitory components that fade over time. Consequently, despite the large amount of attrition, we find no strong evidence that attrition has seriously distorted the representativeness of the PSID through 1989, and considerable evidence that its cross-sectional representativeness has remained roughly intact.

Abstract The Michigan Microwave Canopy Scattering model (MIMICS) is based on a first-order solution of the radiative-transfer equation for a tree canopy comprising a crown layer, a trunk layer and a rough-surface ground boundary. The crown layer is modelled in terms of distributions of dielectric cylinders (representing needles and/or branches) and discs (representing leaves), and the trunks are treated as dielectric cylinders of uniform diameter. This report describes MIMICS I, which pertains to tree canopies with horizontally continuous (closed) crowns. The model, which is intended for use in the 0·5-10GHz region at angles greater than 10° from normal incidence, is formulated in terms of a 4 × 4 Stokes-like transformation matrix from which the backscattering coefficient can be computed for any transmit/receive polarization configuration.

Whereas a number of studies have considered the implications of employee mobility, comparatively little research has considered institutional factors governing the ability of employees to move from one firm to another. This paper explores a legal constraint on mobility—employee non-compete agreements—by exploiting Michigan's apparently inadvertent 1985 reversal of its non-compete enforcement policy as a natural experiment. Using a differences-in-differences approach, and controlling for changes in the auto industry central to Michigan's economy, we find that the enforcement of non-competes indeed attenuates mobility. Moreover, non-compete enforcement decreases mobility more sharply for inventors with firm-specific skills and for those who specialize in narrow technical fields. The results speak to the literature on employee mobility while offering a credibly exogenous source of variation that can extend previous research on the implications of such mobility.

CONTEXT: Understanding how and why programs work-not simply whether they work-is crucial. Good theory is indispensable to advancing the science of improvement. We argue for the usefulness of ex post theorization of programs. METHODS: We propose an approach, located within the broad family of theory-oriented methods, for developing ex post theories of interventional programs. We use this approach to develop an ex post theory of the Michigan Intensive Care Unit (ICU) project, which attracted international attention by successfully reducing rates of central venous catheter bloodstream infections (CVC-BSIs). The procedure used to develop the ex post theory was (1) identify program leaders' initial theory of change and learning from running the program; (2) enhance this with new information in the form of theoretical contributions from social scientists; (3) synthesize prior and new information to produce an updated theory. FINDINGS: The Michigan project achieved its effects by (1) generating isomorphic pressures for ICUs to join the program and conform to its requirements; (2) creating a densely networked community with strong horizontal links that exerted normative pressures on members; (3) reframing CVC-BSIs as a social problem and addressing it through a professional movement combining "grassroots" features with a vertically integrating program structure; (4) using several interventions that functioned in different ways to shape a culture of commitment to doing better in practice; (5) harnessing data on infection rates as a disciplinary force; and (6) using "hard edges." CONCLUSIONS: Updating program theory in the light of experience from program implementation is essential to improving programs' generalizability and transferability, although it is not a substitute for concurrent evaluative fieldwork. Future iterations of programs based on the Michigan project, and improvement science more generally, may benefit from the updated theory present here.

In this study, the effects of procedure type, timing, and other clinical variables on complication rates in mastectomy reconstruction were prospectively evaluated. Using a prospective cohort design, women undergoing first-time, immediate or delayed breast reconstruction were recruited from 12 centers and 23 plastic surgeons. Complication data for expander/implant, pedicle transverse rectus abdominis musculocutaneous (TRAM) flap, and free TRAM flap procedures were evaluated 2 years after surgery in 326 patients. For each patient, the total number of complications was recorded and the complication data were dichotomized in two ways: (1) total complications and (2) major complications (those requiring reoperation, rehospitalization, or nonperioperative intravenous antibiotic treatment). The effects of procedure type, timing, radiotherapy, chemotherapy, age, smoking, and body mass index on complication rates were analyzed using logistic regression. Immediate reconstructions had significantly higher total as well as major complication rates, compared with delayed procedures (p = 0.011 and 0.005, respectively). Furthermore, higher body mass indexes were associated with significantly higher total and major complication rates (p = 0.005 and p < 0.001, respectively). No significant effects on complication rates were noted for procedure type or for the other independent variables, although there was evidence of trends for higher total and major complication rates in implant patients who received radiotherapy and a trend for higher major complication rates in TRAM flap patients who received chemotherapy. It was concluded that (1) immediate reconstructions were associated with significantly higher complication rates than delayed procedures, and (2) procedure type had no significant effect on complication rates.

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Proceedings of the Michigan Morphometrics Workshop held at the University of Michigan, Ann Arbor, Michigan from May 16 through May 28, 1988. Edited by F. James Rohlf and Fred L. Bookstein, with contributions by W. Fink, N. MacLeod, F.J. Rohlf, F.L. Bookstein, L. Marcus, R. Reyment, G.P. Lohmann, P.N. Schweitzer, D.O. Straney, T. Ray, R.E. Chapman, R. Tabachnick, J. Kitchell, D. Lindberg, S. Reilly, G.R. Smith, S.C. Ackerly, A. Sanfilippo, and W.R. Reidel.

This paper documents a large scale, long-term autonomy dataset for robotics research collected on the University of Michigan’s North Campus. The dataset consists of omnidirectional imagery, 3D lidar, planar lidar, GPS, and proprioceptive sensors for odometry collected using a Segway robot. The dataset was collected to facilitate research focusing on long-term autonomous operation in changing environments. The dataset is composed of 27 sessions spaced approximately biweekly over the course of 15 months. The sessions repeatedly explore the campus, both indoors and outdoors, on varying trajectories, and at different times of the day across all four seasons. This allows the dataset to capture many challenging elements including: moving obstacles (e.g. pedestrians, bicyclists and cars), changing lighting, varying viewpoint, seasonal and weather changes (e.g. falling leaves and snow), and long-term structural changes caused by construction projects. To further facilitate research, we also provide ground-truth pose for all sessions in a single frame of reference.

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