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Journal articles on the topic 'Standardized measures'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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1

Leppa, Carol J. "Standardized Measures of Critical Thinking." Nurse Educator 22, no. 5 (September 1997): 29–33. http://dx.doi.org/10.1097/00006223-199709000-00012.

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2

Becker, Betsy Jane. "Synthesizing standardized mean-change measures." British Journal of Mathematical and Statistical Psychology 41, no. 2 (November 1988): 257–78. http://dx.doi.org/10.1111/j.2044-8317.1988.tb00901.x.

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3

Brown, Seth A. "Standardized measures for substance use stigma." Drug and Alcohol Dependence 116, no. 1-3 (July 2011): 137–41. http://dx.doi.org/10.1016/j.drugalcdep.2010.12.005.

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Poll, Roswitha. "Standardized measures in the changing information environment." Performance Measurement and Metrics 7, no. 3 (September 2006): 127–41. http://dx.doi.org/10.1108/14678040610713093.

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5

Vitacco, Michael J., Valerie Gonsalves, James Tomony, Brad E. R. Smith, and David A. Lishner. "Can Standardized Measures of Risk Predict Inpatient Violence?" Criminal Justice and Behavior 39, no. 5 (April 16, 2012): 589–606. http://dx.doi.org/10.1177/0093854812436786.

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6

Riccio, Cynthia A., Candace H. Boan, Deborah Staniszewski, and George W. Hynd. "Concurrent Validity of Standardized Measures of Written Expression." Diagnostique 23, no. 1 (October 1997): 203–11. http://dx.doi.org/10.1177/153450849702300103.

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7

Schay, Brigitte W., Mary Ellen Beach, Jacqueline A. Caldwell, and Christelle LaPolice. "Using standardized outcome measures in the federal government." Human Resource Management 41, no. 3 (2002): 355–68. http://dx.doi.org/10.1002/hrm.10046.

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Stowman, Stephanie A., and Brad Donohue. "Assessing child neglect: A review of standardized measures." Aggression and Violent Behavior 10, no. 4 (May 2005): 491–512. http://dx.doi.org/10.1016/j.avb.2004.08.001.

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9

Mahendra, Ahalya, Jane Y. Polsky, Éric Robitaille, Marc Lefebvre, Tina McBrien, and Leia M. Minaker. "Status report - Geographic retail food environment measures for use in public health." Health Promotion and Chronic Disease Prevention in Canada 37, no. 10 (October 2017): 357–62. http://dx.doi.org/10.24095/hpcdp.37.10.06.

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The Association of Public Health Epidemiologists in Ontario (APHEO) Core Indicators Work Group standardizes definitions and calculation methods for over 120 public health indicators to enhance accurate and standardized community health status reporting across public health units in Ontario. The Built Environment Subgroup is a multi-disciplinary group made up of planners, researchers, policy analysts, registered dietitians, geographic information systems (GIS) analysts and epidemiologists. The Subgroup selected and operationalized a suite of objective, standardized indicators intended to help public health units and regional health authorities assess their community retail food environments. The Subgroup proposed three indicators that use readily available data sources and GIS tools to characterize geographic access to various types of retail food outlets within neighbourhoods in urban settings. This article provides a status report on the development of these food environment indicators.
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Madden, Kenneth, Boris Feldman, Shane Arishenkoff, and Graydon Meneilly. "Bedside Ultrasound Measures of Muscle Mass and Frailty Measures in Community-Dwelling Older Adults." Innovation in Aging 4, Supplement_1 (December 1, 2020): 269. http://dx.doi.org/10.1093/geroni/igaa057.861.

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Abstract The age-associated loss of muscle mass and strength in older adults is called sarcopenia, and it is associated with increased rates of falls, fractures, hospitalizations and death. Sarcopenia is one of the most common physical etiologies for increased frailty in older adults, and some recent work has suggested the use of Point-of care ultrasound (PoCUS) measures as a potential measure of muscle mass. The objective of this study was to examine the association of PoCUS measures of muscle thickness (MT) with measures of frailty in community-dwelling older adults. We recruited 150 older adults (age >= 65; mean age 80.0±0.5 years, 66 women, 84 men) sequentially from 5 geriatric medicine clinics (Vancouver General Hospital). We measured lean muscle mass (LMM, by bioimpedance assay) and an ultrasonic measure of muscle quantity (MT, vastus medialis muscle thickness) in all subjects, as well as two outcome measures of frailty (FFI, Fried Frailty Index; RCFS, Rockwood Clinical Frailty Scale). In our models, MT showed an inverse correlation with the FFI (Standardized β=-0.2320±0.107, p=0.032) but no significant correlation with the RCFS (Standardized β = -0.025±0.086, p=0.776). LMM showed no significant association with either FFI (Standardized β=-0.232±0.120, p=0.055) or RCFS (Standardized β = -0.043±0.119, p=0.719). Our findings indicate that PoCUS measures show potential as a way to screen for physical manifestations of frailty and might be superior to other bedside methods such as bioimpedance assay. However, PoCUS measures of muscle thickness will likely miss patients showing frailty in the much broader context captured by the RCFS.
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11

Arya, Anil, Jonathan Glover, Brian Mittendorf, and Lixin Ye. "On the Use of Customized versus Standardized Performance Measures." Journal of Management Accounting Research 17, no. 1 (January 1, 2005): 7–21. http://dx.doi.org/10.2308/jmar.2005.17.1.7.

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Despite the influx of measures which can be customized to the demands of each business unit (e.g., customer satisfaction surveys and quality indices), many firms have been dogged in their reliance on standardized measures (e.g., conventional financial metrics) in performance evaluation. In this paper, we consider one justification: though customized measures may more accurately target the goals of a particular unit, standardized measures may offer more meaningful opportunities for relative performance evaluation. Standardized measures have a commonality in errors which is naturally absent among measures targeted to each circumstance. This commonality allows learning about one measure from another and, thus, the construction of more efficient proxies for unobservable employee inputs. The use of comparative evaluation schemes is not without its challenges, since it may induce unwanted coordination by those being evaluated. Even with such gaming concerns, standardized measures can still be preferred, but the requirements are more stringent.
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12

Beam, Joel W. "Occlusive Dressings and the Healing of Standardized Abrasions." Journal of Athletic Training 43, no. 6 (November 1, 2008): 600–607. http://dx.doi.org/10.4085/1062-6050-43.6.600.

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Abstract Context: Acute skin trauma during sport participation, resulting in partial-thickness abrasions, is common. The limited investigations focusing on the acute wound environment and dressing techniques and the subsequent lack of evidence-based standards complicate clinical wound care decisions. Objective: To examine the effects of occlusive dressings on healing of standardized, partial-thickness abrasions. Design: Controlled, counterbalanced, repeated-measures design. Setting: University laboratory. Patients or Other Participants: Sixteen healthy women (n = 10) and men (n = 6). Intervention(s): Four standardized, partial-thickness abrasions were inflicted. Film, hydrogel, and hydrocolloid occlusive dressings and no dressing (control) were applied. Participants returned on postwound days 1, 3, 5, 7, 10, and 14 for digital imaging. Wound healing time was measured by change in wound contraction (cm2) and change in wound color (chromatic red) and luminance in red, green, and blue color values. Main Outcome Measure(s): Wound contraction, color (chromatic red), and luminance. Results: A day-by-dressing interaction was found for wound contraction, color, and luminance. Post hoc testing indicated that the film and hydrocolloid dressings produced greater wound contraction than the hydrogel and no dressing on days 7 and 10. Film, hydrogel, and hydrocolloid dressings also resulted in greater wound contraction than the control on day 14. Hydrocolloid dressings produced smaller measures of color and greater measures of luminance than no dressing on day 7. Film, hydrogel, and hydrocolloid dressings also resulted in smaller measures of color and greater measures of luminance compared with no dressing on days 10 and 14. Conclusions: When compared with the control (no dressing), the film, hydrogel, and hydrocolloid occlusive dressings were associated with a faster healing rate of partial-thickness abrasions across time measured by wound contraction, color, and luminance. Overall, these data indicate that occlusive dressings were more effective in healing than no dressing was.
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13

De Champlain, André F., Cindy Streefkerk, Marguerite Roy, Fang Tian, Sirius Qin, and Carlos Brailovsky. "Predicting Family Medicine Specialty Certification Status Using Standardized Measures." Journal of Medical Regulation 100, no. 4 (December 1, 2014): 8–16. http://dx.doi.org/10.30770/2572-1852-100.4.8.

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ABSTRACT One of the routes for entry into practice for international medical graduates (IMGs) in Canada entails completing some form of an in-practice assessment program. The latter route is referred to as practice ready assessment and is the focus of the present investigation. A pan-Canadian practice ready assessment process is currently being designed to evaluate IMGs' practice readiness. The selection of candidates who will not only have the highest likelihood of successfully completing the practice-ready assessment program but who will also attain specialty certification is of paramount importance. Our study focused on assessing how well practice-ready assessment candidates' performance on Medical Council of Canada (MCC) examinations and four demographic variables could predict both their score and pass fail status on the College of Family Physicians' (CFPC) certification examination. Data from 132 practice-ready assessment candidates were analyzed and indicate that MCC Qualifying Examination Part 1 scores, gender and age were significant predictors of both pass/fail status (p<0.05) as well as scores (p<0.01) on the short-answer management problems component of the family medicine certification examination. This study provides initial validity evidence for using the MCCQE Part I as a selection tool for practice-ready assessment. Practice-ready assessment programs across Canada might consider adopting the set of standardized predictors examined in this investigation, in addition to other measures, in an effort to better promote a pan-Canadian model.
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Mann, Susan, Stephen Pratt, Paul Gluck, Peter Nielsen, Daniel Risser, Penny Greenberg, Ronald Marcus, et al. "Assessing Quality in Obstetrical Care: Development of Standardized Measures." Joint Commission Journal on Quality and Patient Safety 32, no. 9 (September 2006): 497–505. http://dx.doi.org/10.1016/s1553-7250(06)32065-x.

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15

Graham, Kathryn. "Guidelines for using Standardized Outcome Measures Following Addictions Treatment." Evaluation & the Health Professions 17, no. 1 (March 1994): 43–59. http://dx.doi.org/10.1177/016327879401700103.

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16

Estrada, Eduardo, Francisco J. Román, Francisco J. Abad, and Roberto Colom. "Separating power and speed components of standardized intelligence measures." Intelligence 61 (March 2017): 159–68. http://dx.doi.org/10.1016/j.intell.2017.02.002.

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17

Haig, Andrew J. "ARE STANDARDIZED OUTCOMES MEASURES VALID FOR SMALL REHABILITATION UNITS?" American Journal of Physical Medicine & Rehabilitation 76, no. 2 (March 1997): 147. http://dx.doi.org/10.1097/00002060-199703000-00012.

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Acunzo, David J., and Devin B. Terhune. "A Critical Review of Standardized Measures of Hypnotic Suggestibility." International Journal of Clinical and Experimental Hypnosis 69, no. 1 (January 2, 2021): 50–71. http://dx.doi.org/10.1080/00207144.2021.1833209.

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Gliklich, Richard E., Michelle B. Leavy, Jannette Karl, Daniel M. Campion, Daniel Levy, and Elise Berliner. "A framework for creating standardized outcome measures for patient registries." Journal of Comparative Effectiveness Research 3, no. 5 (September 2014): 473–80. http://dx.doi.org/10.2217/cer.14.38.

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Walter, J., M. Hustedt, V. Wesling, and S. Barcikowski. "Standardized Emission Quantification and Control of Costs for Environmental Measures." Physics Procedia 12 (2011): 31–39. http://dx.doi.org/10.1016/j.phpro.2011.03.005.

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21

Jensen, V. F., E. Jacobsen, and F. Bager. "Veterinary antimicrobial-usage statistics based on standardized measures of dosage." Preventive Veterinary Medicine 64, no. 2-4 (July 2004): 201–15. http://dx.doi.org/10.1016/j.prevetmed.2004.04.001.

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22

Berkman, Barbara. "Use of Standardized Measures in Agency Based Research and Practice." Social Work in Health Care 34, no. 1/2 (July 25, 2002): 115–29. http://dx.doi.org/10.1300/j010v34n01_09.

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23

Hamilton, D. C., and D. E. C. Cole. "Testing for Equality of Standardized Composite Measures of Linkage Disequilibrium." Annals of Human Genetics 72, no. 2 (December 18, 2007): 292–96. http://dx.doi.org/10.1111/j.1469-1809.2007.00404.x.

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Anemaet, Wendy K. "Using Standardized Measures to Meet the Challenge of Stroke Assessment." Topics in Geriatric Rehabilitation 18, no. 2 (December 2002): 47–62. http://dx.doi.org/10.1097/00013614-200212000-00006.

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25

Smith, Lindsey J. Wolff, and S. Natasha Beretvas. "Estimation of the Standardized Mean Difference for Repeated Measures Designs." Journal of Modern Applied Statistical Methods 8, no. 2 (November 1, 2009): 600–609. http://dx.doi.org/10.22237/jmasm/1257035160.

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26

Aroian, Karen J., and Nancy Schappler-Morris. "Using Qualitative Data for Estimating Construct Validity of Standardized Measures." Journal of Nursing Measurement 4, no. 1 (January 1996): 59–74. http://dx.doi.org/10.1891/1061-3749.4.1.59.

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This paper describes efforts to develop a method of using qualitative interview data for investigating the construct validity of standardized measures. Illustration is provided through a multimethod validation study that examined the concurrence between observer assessments of interview data and a standardized paper and pencil measure–the Demands of Immigration Scale (DI). Specific aims of the multimethod validation study included (1) determining interrater reliability of the Demands of Immigration Observer Rating Scale (DI-ORS), which assessed respondents according to the interview data they provided and (2) establishing concurrence between observer assessments on the DI-ORS and the respondents’ self-ratings on the DI scale. Interrater reliability of the DI-ORS was achieved with 97.9% agreement. However, there were significant differences (p ≤ .05,2-tailed) or disagreement on 5 out of 6 possible occurrences for agreement or disagreement between observer ratings on the DI-ORS and respondents’ self ratings on the DI scale. The findings are informative for researchers who wish to use qualitative methods for construct validation.
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McDowell, Ceasar L. "Standardized tests and program evaluation: Inappropriate measures in critical times." New Directions for Program Evaluation 1992, no. 53 (1992): 45–54. http://dx.doi.org/10.1002/ev.1600.

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Berkman, Barbara, and Peter Maramaldi. "Use of standardized measures in agency based research and practice." Social Work in Health Care 34, no. 1-2 (December 2001): 113–29. http://dx.doi.org/10.1080/00981380109517021.

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KEENAN, P., L. LINDAMER, and S. JONG. "Psychological aspects of premenstrual syndrome II: Utility of standardized measures." Psychoneuroendocrinology 17, no. 2-3 (May 1992): 189–94. http://dx.doi.org/10.1016/0306-4530(92)90057-e.

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Faustman, William O., James A. Moses, Michael A. Bono, John Newcomer, and David L. Ringo. "Deficit schizophrenic symptoms correlate with standardized neuropsychological measures in schizophrenia." Schizophrenia Research 15, no. 1-2 (April 1995): 116. http://dx.doi.org/10.1016/0920-9964(95)95356-e.

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Tilstra, Janet, and Kristen McMaster. "Productivity, Fluency, and Grammaticality Measures From Narratives." Communication Disorders Quarterly 29, no. 1 (November 2007): 43–53. http://dx.doi.org/10.1177/1525740108314866.

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The purpose of this study was to identify potential general outcome indicators (GOIs) of language proficiency. Brief narratives were elicited from 45 kindergarten, first-grade, and third-grade children using single-picture scenes and a standardized protocol. Measures of language productivity, verbal fluency, and grammaticality were examined for alternate-form reliability and criterion validity. Two verbal fluency measures, total productive words per minute and total number of words per minute, were reliably obtained for students in all grades, demonstrated moderate criterion validity with a standardized oral language measure, and differentiated third-grade students from those in kindergarten and first grade. Additional standards for GOIs are discussed.
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Condouris, Karen, Echo Meyer, and Helen Tager-Flusberg. "The Relationship Between Standardized Measures of Language and Measures of Spontaneous Speech in Children With Autism." American Journal of Speech-Language Pathology 12, no. 3 (August 2003): 349–58. http://dx.doi.org/10.1044/1058-0360(2003/080).

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This study investigated the relationship between scores on standardized tests (Clinical Evaluation of Language Fundamentals [CELF], Peabody Picture Vocabulary Test-Third Edition [PPVT-III], and Expressive Vocabulary Test) and measures of spontaneous speech (mean length of utterance [MLU], Index of Productive Syntax, and number of different word roots [NDWR]) derived from natural language samples obtained from 44 children with autism between the ages of 4 and 14 years old. The children with autism were impaired across both groups of measures. The two groups of measures were significantly correlated, and specific relationships were found between lexical-semantic measures (NDWR, vocabulary tests, and the CELF lexical-semantic subtests) and grammatical measures (MLU, and CELF grammar subtests), suggesting that both standardized and spontaneous speech measures tap the same underlying linguistic abilities in children with autism. These findings have important implications for clinicians and researchers who depend on these types of language measures for diagnostic purposes, assessment, and investigations of language impairments in autism.
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Salyer, Rachel, Ginny Frederick, Rachelle Reed, Alison Berg, Chad Straight, Anne Brady, Lauren Higgins, and Ellen Evans. "Can A Simple Transfer Task Predict Lower-extremity Physical Function As Measured By Standardized Clinical Measures?" Medicine & Science in Sports & Exercise 51, Supplement (June 2019): 951. http://dx.doi.org/10.1249/01.mss.0000563351.23524.6c.

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PEETS, KATHLEEN F., and ELLEN BIALYSTOK. "Academic discourse: Dissociating standardized and conversational measures of language proficiency in bilingual kindergarteners." Applied Psycholinguistics 36, no. 2 (July 25, 2013): 437–61. http://dx.doi.org/10.1017/s0142716413000301.

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ABSTRACTThis study examined the relationship between performance on standardized measures of language proficiency and conversational measures of the same features used in academic discourse among 24 monolingual and 25 bilingual kindergarteners. Academic discourse performance was considered for both its linguistic and its genre features in two discourse forms: narrative and explanation. Bilinguals performed more poorly than monolinguals on standardized measures of language proficiency, yet they performed similarly to monolinguals in the discourse-based linguistic and genre features. Moreover, genre features were more strongly related to linguistic features assessed through discourse than to standardized tests of these same features. These findings indicate that standardized measures of language proficiency underrepresent the abilities of bilingual children and that children's second language proficiency may be more accurately reflected in conversation.
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Jensen-Doss, Amanda, Ashley M. Smith, Emily M. Becker-Haimes, Vanesa Mora Ringle, Lucia M. Walsh, Monica Nanda, Samantha L. Walsh, Colleen A. Maxwell, and Aaron R. Lyon. "Individualized Progress Measures Are More Acceptable to Clinicians Than Standardized Measures: Results of a National Survey." Administration and Policy in Mental Health and Mental Health Services Research 45, no. 3 (November 15, 2017): 392–403. http://dx.doi.org/10.1007/s10488-017-0833-y.

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Vratsistas-Curto, Angela, Catherine Sherrington, and Annie McCluskey. "Responsiveness of five measures of arm function in acute stroke rehabilitation." Clinical Rehabilitation 32, no. 8 (May 30, 2018): 1098–107. http://dx.doi.org/10.1177/0269215518778316.

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Objective: To determine the responsiveness of five arm function measures in people receiving acute inpatient stroke rehabilitation. Design: Inception cohort study. Setting: Comprehensive stroke unit providing early rehabilitation. Subjects: A total of 64 consecutively admitted stroke survivors with moderately severe disability (Modified Rankin Scale score median (interquartile range (IQR)): 4.0 (1.0)). Main measures: Responsiveness was analyzed by calculating effect size, standardized response mean and median-based effect size. Floor/ceiling effects were calculated as the percentage of participants scoring the lowest/highest possible scores. Results: Average length of stay and number of therapy days were 34 (SD = 27.9) and 12 (SD = 13.1), respectively. Box and Block Test and Functional Independence Measure–Self-Care showed the highest responsiveness with values in the moderate–large range (effect size = 1.09, standardized response mean = 1.07 and median-based effect size = 0.76; effect size = 0.94, standardized response mean = 1.04 and median-based effect size = 1.0). Responsiveness of Action Research Arm Test and Upper Limb–Motor Assessment Scale were moderate (effect size = 0.58, standardized response mean = 0.69 and median-based effect size = 0.59; effect size = 0.62, standardized response mean = 0.75 and median-based effect size = 0.67). For Manual Muscle Test, responsiveness was in the small–moderate range (effect size = 0.42, standardized response mean = 0.59 and median-based effect size = 0.5). Box and Block Test showed the largest floor effect on admission (28%), and Action Research Arm Test and Manual Muscle Test showed the largest ceiling effect on discharge (31%). Conclusion: These five measures varied in their ability to detect change with responsiveness ranging from the small to large range. Box and Block Test and Functional Independence Measure–Self-Care showed a greater ability to detect change; both demonstrated moderate–large responsiveness.
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Fanning, Edel, Natasha Maher, Ann Cools, and Eanna C. Falvey. "Outcome Measures After Shoulder Stabilization in the Athletic Population: A Systematic Review of Clinical and Patient-Reported Metrics." Orthopaedic Journal of Sports Medicine 8, no. 9 (September 1, 2020): 232596712095004. http://dx.doi.org/10.1177/2325967120950040.

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Background: Athletic endeavor can require the “athletic shoulder” to tolerate significant load through supraphysiological range and often under considerable repetition. Outcome measures are valuable when determining an athlete’s safe return to sport. Few data are available to guide a clinician’s choice from the variety of measures available. Purpose: To describe the use of quantifiable objective outcome measures and patient-reported outcome tools after glenohumeral joint stabilization, specifically in an athletic population. The secondary aim of our study was to assess whether the method of measurement used was clearly described and standardized to aid clinical interpretation. Study Design: Systematic review; Level of evidence, 4. Methods: A systematic search of MEDLINE, Scopus, SPORTDiscus, and Web of Science databases was performed in December 2018 based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. After the application of selection criteria, a full review of identified papers, and screening of reference lists, a total of 62 studies were included in the review. All studies were independently appraised for quality, predefined data fields were populated and cross-checked for accuracy, and results were then summarized from these data fields. Results: Of the 62 included studies, 94% used a quantifiable objective clinical outcome. A majority (85%) of the studies measured range of motion, 21% recorded muscle strength, 5% measured electromyographic activity, 5% examined shoulder kinematics, and 3% assessed joint proprioception after surgery. However, only 18% of the studies clearly described a standardized method of measuring the outcome. Nearly all (95%) of the studies used at least 1 patient-reported outcome measure. The Rowe score was most commonly used (35%). Conclusion: We must standardize and clearly describe the use of quantifiable objective outcome measures to aid clinical interpretation. A concerted effort should also be made to standardize the use of patient-reported outcome tools after shoulder stabilization in the athletic population.
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Jette, Diane U., James Halbert, Courtney Iverson, Erin Miceli, and Palak Shah. "Use of Standardized Outcome Measures in Physical Therapist Practice: Perceptions and Applications." Physical Therapy 89, no. 2 (February 1, 2009): 125–35. http://dx.doi.org/10.2522/ptj.20080234.

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Background Standardized instruments for measuring patients' activity limitations and participation restrictions have been advocated for use by rehabilitation professionals for many years. The available literature provides few recent reports of the use of these measures by physical therapists in the United States. Objective The primary purpose of this study was to determine: (1) the extent of the use of standardized outcome measures and (2) perceptions regarding their benefits and barriers to their use. A secondary purpose was to examine factors associated with their use among physical therapists in clinical practice. Design The study used an observational design. Methods A survey questionnaire comprising items regarding the use and perceived benefits and barriers of standardized outcome measures was sent to 1,000 randomly selected members of the American Physical Therapy Association (APTA). Results Forty-eight percent of participants used standardized outcome measures. The majority of participants (>90%) who used such measures believed that they enhanced communication with patients and helped direct the plan of care. The most frequently reported reasons for not using such measures included length of time for patients to complete them, length of time for clinicians to analyze the data, and difficulty for patients in completing them independently. Use of standardized outcome measures was related to specialty certification status, practice setting, and the age of the majority of patients treated. Limitations The limitations included an unvalidated survey for data collection and a sample limited to APTA members. Conclusions Despite more than a decade of development and testing of standardized outcome measures appropriate for various conditions and practice settings, physical therapists have some distance to go in implementing their use routinely in most clinical settings. Based on the perceived barriers, alterations in practice management strategies and the instruments themselves may be necessary to increase their use.
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Shapiro, Edward S., Milena A. Keller, J. Gary Lutz, Lana Edwards Santoro, and John M. Hintze. "Curriculum-Based Measures and Performance on State Assessment and Standardized Tests." Journal of Psychoeducational Assessment 24, no. 1 (March 2006): 19–35. http://dx.doi.org/10.1177/0734282905285237.

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Kulkarni, Vivek T., Sachin J. Shah, Susannah M. Bernheim, Yongfei Wang, Sharon-Lise T. Normand, Elizabeth E. Drye, and Harlan M. Krumholz. "EFFECTS OF REGIONAL MEDICARE ADVANTAGE PENETRATION ON RISK-STANDARDIZED OUTCOME MEASURES." Journal of the American College of Cardiology 57, no. 14 (April 2011): E1224. http://dx.doi.org/10.1016/s0735-1097(11)61224-2.

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Stapleton, Laura M., Keenan A. Pituch, and Eric Dion. "Standardized Effect Size Measures for Mediation Analysis in Cluster-Randomized Trials." Journal of Experimental Education 83, no. 4 (August 7, 2014): 547–82. http://dx.doi.org/10.1080/00220973.2014.919569.

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Bennett, William D., Beth L. Laube, Timothy Corcoran, Kirby Zeman, Gail Sharpless, Kristina Thomas, Jihong Wu, Peter J. Mogayzel, Joseph Pilewski, and Scott Donaldson. "Multisite Comparison of Mucociliary and Cough Clearance Measures Using Standardized Methods." Journal of Aerosol Medicine and Pulmonary Drug Delivery 26, no. 3 (June 2013): 157–64. http://dx.doi.org/10.1089/jamp.2011.0909.

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Mathur, VijayPrakash, and Ashutosh Sharma. "Impact factor and other standardized measures of journal citation: A perspective." Indian Journal of Dental Research 20, no. 1 (2009): 81. http://dx.doi.org/10.4103/0970-9290.49072.

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Crawford, Albert G. "Editorial: The Need for Customized and Standardized Health Care Quality Measures." American Journal of Medical Quality 27, no. 2 (March 2012): 94–95. http://dx.doi.org/10.1177/1062860611434036.

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Greeno, Catherine G., Courtney Colonna-Pydyn, and Martha Shumway. "The Need to Adapt Standardized Outcomes Measures for Community Mental Health." Social Work in Public Health 23, no. 2-3 (May 7, 2007): 125–38. http://dx.doi.org/10.1080/19371910802151937.

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Trujols, Joan, Ivan Solà, Ioseba Iraurgi, M. Josefa Campins, Elisa Ribalta, and Santiago Duran-Sindreu. "Individualized and Standardized Outcome Measures: Further Arguments in Favor of Cohabitation." Administration and Policy in Mental Health and Mental Health Services Research 47, no. 3 (October 1, 2019): 339–43. http://dx.doi.org/10.1007/s10488-019-00981-8.

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Bianchi, R., and A. Lichtenthäler. "Empirical Redundancy of Burnout and Depression: Evidence from Time-standardized Measures." European Psychiatry 41, S1 (April 2017): S261. http://dx.doi.org/10.1016/j.eurpsy.2017.02.069.

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Abstract:
IntroductionBurnout and depression are ordinarily assessed within different time frames. Burnout is most frequently assessed on an annual or a monthly basis whereas depression is generally assessed over a one- or two-week period. This state of affairs may have partly obscured the burnout-depression relationship in past research and contributed to an underestimation of burnout-depression overlap.ObjectivesWe investigated burnout-depression overlap using time-standardized measures of the two constructs. We additionally examined whether burnout and depression were differently associated with work-related effort and reward, occupational social support, and intention to quit the job.MethodsWe enrolled 257 Swiss schoolteachers (76% female; mean age: 45). Burnout was assessed with the Shirom-Melamed Burnout Measure and depression with a dedicated module of the Patient Health Questionnaire. Work-related effort and reward were measured with a short version of the Effort-Reward Imbalance Scale and occupational social support with a subscale of the Job Content Questionnaire. Intention to quit the job was assessed with 3 generic items (e.g., “I plan on leaving my job within the next year”).ResultsWe observed a raw correlation of .82 and a disattenuated correlation of .91 between burnout and depression. Burnout's dimensions (physical fatigue; cognitive weariness; emotional exhaustion) did not correlate more strongly with each other (mean r = .63) than with depression (mean r = .69). Burnout and depression showed similar associations with the job-related factors under scrutiny.ConclusionsBurnout and depression may be empirically-redundant constructs. Measurement artifacts probably contributed to an underestimation of burnout-depression overlap in many studies.Disclosure of interestThe authors have not supplied their declaration of competing interest.
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Roehl, Tobias. "What PISA measures: some remarks on standardized assessment and science education." Cultural Studies of Science Education 10, no. 4 (October 22, 2015): 1215–22. http://dx.doi.org/10.1007/s11422-015-9662-z.

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Schmitt, Abigail C., Justin N. Daniels, Sidney T. Baudendistel, Michael S. Okun, and Chris J. Hass. "The Primary Gait Screen in Parkinson’s disease: Comparison to standardized measures." Gait & Posture 73 (September 2019): 71–73. http://dx.doi.org/10.1016/j.gaitpost.2019.07.132.

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Garcia, Bobby, Stacey Scheib, Barry Hallner, Nia Thompson, Julie Schiavo, and Lisa Peacock. "Cosmetic gynecology—a systematic review and call for standardized outcome measures." International Urogynecology Journal 31, no. 10 (May 8, 2020): 1979–95. http://dx.doi.org/10.1007/s00192-020-04294-5.

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