SKDA in Context

2017 ◽  
Vol 10 (2) ◽  
pp. 268-277
Author(s):  
William H. Macey ◽  
Diane L. Daum
Keyword(s):  
Empirical Process ◽  
Survey Design ◽  
Employee Attitudes ◽  
Fundamental Research ◽  
Key Driver ◽  
Driver Analysis ◽  
Survey Design And Analysis ◽  
Cumulative Knowledge

In contrast to the view that survey key driver analysis (SKDA) is a misused and blind empirical process, we suggest it is a reasonable, hypothesis-driven approach that builds on cumulative knowledge drawn from both the literature and practice, and requires reasoned judgment about the relationships of individual items to the constructs they represent and the criteria of interest. The logic of key driver analysis in applied settings is no different than the logic of its application in fundamental research regarding employee attitudes (e.g., Dalal, Baysinger, Brummel, & LeBreton, 2012). However, there are important survey design and analysis issues with respect to how key driver analyses are best conducted. Just some of these are discussed below.

Survey Key Driver Analysis: Our GPS to Navigating Employee Attitudes

2017 ◽  
Vol 10 (2) ◽  
pp. 306-313
Author(s):  
Christopher T. Rotolo ◽  
Bennett A. Price ◽  
Christina R. Fleck ◽  
Victoria J. Smoak ◽  
Vanessa Jean
Keyword(s):  
Survey Data ◽  
Employee Attitudes ◽  
Key Driver ◽  
Driver Analysis

Cucina, Walmsley, Gast, Martin, and Curtin (2017) started an important dialogue about survey key driver analysis (SKDA). We believe that promoting more useful and valid ways to understand survey data is critical not only for the organizations we serve, but also for advancing the relevancy of our field. We use the terms useful and valid quite intentionally. “Useful” is driven by our practitioner side, but “valid” is driven by our science side. It is the science that often sets industrial and organizational (I-O) psychology apart from other fields. But in some ways, it also holds us back from being timely and relevant. Overall, we believe that the focal article erred too much on the science side.

Fundamental Research into Thin Films in a Developing Country

1972 ◽  
Vol 30 ◽  
pp. 500-501
Author(s):  
J.A. Eades ◽  
E. Grünbaum
Keyword(s):  
Thin Films ◽  
Growth Process ◽  
Empirical Process ◽  
Nucleation And Growth ◽  
Research Groups ◽  
Film Research ◽  
Fundamental Research ◽  
Controlled Deposition ◽  
The One ◽  
The University

In the last decade and a half, thin film research, particularly research into problems associated with epitaxy, has developed from a simple empirical process of determining the conditions for epitaxy into a complex analytical and experimental study of the nucleation and growth process on the one hand and a technology of very great importance on the other. During this period the thin films group of the University of Chile has studied the epitaxy of metals on metal and insulating substrates. The development of the group, one of the first research groups in physics to be established in the country, has parallelled the increasing complexity of the field.The elaborate techniques and equipment now needed for research into thin films may be illustrated by considering the plant and facilities of this group as characteristic of a good system for the controlled deposition and study of thin films.

scholarly journals Impact of patient characteristics on the Canadian Patient Experiences Survey–Inpatient Care: survey analysis from an academic tertiary care centre

BMJ Open ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. e021575 ◽  
Author(s):  
Fraser D Rubens ◽  
Diana M Rothwell ◽  
Amal Al Zayadi ◽  
Sudhir Sundaresan ◽  
Tim Ramsay ◽  
...  
Keyword(s):  
Mental Health ◽  
Inpatient Care ◽  
Tertiary Care ◽  
Survey Analysis ◽  
Physical And Mental Health ◽  
Cross Sectional Survey ◽  
Significant Difference ◽  
Key Driver ◽  
Driver Analysis ◽  
Canadian Patient

ObjectiveTo determine the role of patient demographics, care domains and self-perceived health status in the analysis and interpretation of results from the Canadian Patient Experience Survey–Inpatient Care.DesignCross-sectional survey.SettingSingle large Canadian two campus tertiary care academic centre.ParticipantsRandom sampling of hospital patients postdischarge.Intervention and main outcome measuresLogistic regression models were developed to analyse topbox scoring on four questions of global care (rate experience, recommend hospital, rate hospital, overall helped). Means of each composite domain were correlated to the four overall scores at the patient level to determine Spearman’s rank correlation coefficients which were plotted against the overall (hospital) domain score for the key driver analysis.ResultsTopbox scoring was decreased with worse degrees of perceived physical and mental health in all four global questions (p<0.05). Female gender and higher levels of education were associated with worse scoring on rate experience, recommend hospital and rate hospital (p<0.001). Whereas there was a significant difference between hospital departments in unadjusted measures, these differences were no longer evident after adjustment with patient covariates. Key driver analysis identified person-centred care, care transition and the domain related to emergency admission as areas of highest potential for improvement.ConclusionsGlobal measures of overall care are influenced by patient-perceived physical and mental health. Caution should be exercised in using patient-satisfaction surveys to compare performance between different healthcare provision entities, as apparent differences could be explained by variation in patient mix rather than variation in performance.

Deep phenotyping of synovial molecular signatures by integrative systems analysis in rheumatoid arthritis

Rheumatology ◽  
2020 ◽  
Author(s):  
Seung Min Jung ◽  
Kyung-Su Park ◽  
Ki-Jo Kim
Keyword(s):  
Differentially Expressed Genes ◽  
Systems Approach ◽  
Synovial Fibroblasts ◽  
Functional Enrichment ◽  
Differentially Expressed ◽  
Driver Genes ◽  
Key Driver ◽  
Driver Analysis ◽  
Synovial Tissues ◽  
Deep Phenotyping

Abstract Objective RA encompasses a complex, heterogeneous and dynamic group of diseases arising from molecular and cellular perturbations of synovial tissues. The aim of this study was to decipher this complexity using an integrative systems approach and provide novel insights for designing stratified treatments. Methods An RNA sequencing dataset of synovial tissues from 152 RA patients and 28 normal controls was imported and subjected to filtration of differentially expressed genes, functional enrichment and network analysis, non-negative matrix factorization, and key driver analysis. A naïve Bayes classifier was applied to the independent datasets to investigate the factors associated with treatment outcome. Results A matrix of 1241 upregulated differentially expressed genes from RA samples was classified into three subtypes (C1–C3) with distinct molecular and cellular signatures. C3 with prominent immune cells and proinflammatory signatures had a stronger association with the presence of ACPA and showed a better therapeutic response than C1 and C2, which were enriched with neutrophil and fibroblast signatures, respectively. C2 was more occupied by synovial fibroblasts of destructive phenotype and carried highly expressed key effector molecules of invasion and osteoclastogenesis. CXCR2, JAK3, FYN and LYN were identified as key driver genes in C1 and C3. HDAC, JUN, NFKB1, TNF and TP53 were key regulators modulating fibroblast aggressiveness in C2. Conclusions Deep phenotyping of synovial heterogeneity captured comprehensive and discrete pathophysiological attributes of RA regarding clinical features and treatment response. This result could serve as a template for future studies to design stratified approaches for RA patients.

Book Review: Survey Design and Analysis

1987 ◽  
Vol 24 (1) ◽  
pp. 134-134
Author(s):  
Jonathan N. Goodrich
Keyword(s):  
Survey Design ◽  
Survey Design And Analysis

With the Right Map, Survey Key Driver Analysis Can Help Get Organizations to the Right Destination

2017 ◽  
Vol 10 (2) ◽  
pp. 290-298
Author(s):  
Charles A. Scherbaum ◽  
Justin Black ◽  
Sara P. Weiner
Keyword(s):  
Data Analysis ◽  
Best Practices ◽  
Survey Data ◽  
Analytical Techniques ◽  
Opinion Survey ◽  
Key Driver ◽  
Driver Analysis ◽  
Employee Opinion Survey ◽  
The Right ◽  
Analytical Approaches

Cucina, Walmsley, Gast, Martin, and Curtin (2017) raise an important issue in evaluating whether our current approaches for key driver analysis on employee opinion survey data are indeed best practices. As has been argued elsewhere (Putka & Oswald, 2016; Scherbaum, Putka, Naidoo, & Youssefnia, 2010), there is and can be misalignment between current and best practices. We agree with Cucina et al. that our field should engage in larger discussion of these issues. That discussion is critical, as industrial and organizational (I-O) psychologists are competing with those outside our field who have either little knowledge of best practices in data analysis (but who have been empowered by technology that automates the analysis) or little knowledge of psychology (but a great deal of knowledge in big data analytical techniques). I-O psychologists are in the vanguard of survey data analysis (Ducey et al., 2015), and we have a responsibility to maintain the standards of our field as well as to wield our influence to guide other practitioners outside our field on sound theoretical and analytical approaches.

Estimating population status under conditions of uncertainty: the Ross seal in East Antarctica

2008 ◽  
Vol 20 (2) ◽  
pp. 123-133 ◽  
Author(s):  
Colin J. Southwell ◽  
Charles G.M. Paxton ◽  
David L. Borchers ◽  
Peter L. Boveng ◽  
Erling S. Nordøy ◽  
...  
Keyword(s):  
Survey Design ◽  
East Antarctica ◽  
Population Status ◽  
Pack Ice ◽  
The Status ◽  
Antarctic Treaty ◽  
Survey Design And Analysis ◽  
The Many ◽  
Many Sources ◽  
The Antarctic

AbstractThe Ross seal (Ommatophoca rossii) is the least studied of the Antarctic ice-breeding phocids. In particular, estimating the population status of the Ross seal has proved extremely difficult. The Protocol on Environmental Protection to the Antarctic Treaty currently designates the Ross seal as a ‘Specially Protected Species’, contrasting with the IUCN's classification of ‘Least Concern’. As part of a review of the Ross seal's classification under the Protocol, a survey was undertaken in 1999/2000 to estimate the status of the Ross seal population in the pack ice off East Antarctica between 64–150°E. Shipboard and aerial sighting surveys were carried out along 9476 km of transect to estimate the density of Ross seals hauled out on the ice, and satellite dive recorders deployed on a sample of Ross seals to estimate the proportion of time spent on the ice. The survey design and analysis addressed the many sources of uncertainty in estimating the abundance of this species in an effort to provide a range of best and plausible estimates. Best estimates of abundance in the survey region ranged from 41 300–55 900 seals. Limits on plausible estimates ranged from 20 500 (lower 2.5 percentile) to 226 600 (upper 97.5 percentile).

scholarly journals Let's Keep Looking for Other Roads: Improving Approaches to Identifying and Addressing Key Drivers

2017 ◽  
Vol 10 (2) ◽  
pp. 258-264
Author(s):  
Matt C. Howard
Keyword(s):  
Job Satisfaction ◽  
Employee Engagement ◽  
Organizational Outcomes ◽  
Key Driver ◽  
Key Drivers ◽  
Driver Analysis

Cucina, Walmsley, Gast, Martin, and Curtin (2017) provide several valid criticisms of survey key driver analysis (SKDA), which is an approach used to identify causes of important employee and organizational outcomes, such as job satisfaction or employee engagement.

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