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1

Dijkers, Marcel, and Adam Stein. "Article 15: Comparing Verbal Rating Scale and Numeric Rating Scale Ratings of Pain." Archives of Physical Medicine and Rehabilitation 88, no. 10 (2007): e4. http://dx.doi.org/10.1016/j.apmr.2007.08.022.

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2

Klockars, Alan J., and Gregory R. Hancock. "Manipulations of Evaluative Rating Scales to Increase Validity." Psychological Reports 73, no. 3_suppl (1993): 1059–66. http://dx.doi.org/10.2466/pr0.1993.73.3f.1059.

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Standard five-point rating scales often do not allow raters to capture perceived differences between objects or individuals within a relatively narrow band of the evaluative dimension. In the frequency domain, using a longer rating scale or packing the rating scale with labels from a particular portion of the dimension of interest have both been shown by Hancock and Klockars in 1991 to increase rating validity for differentiating among a narrow range of performances. The present study investigates the effect of similar manipulations on the validity of ratings from evaluative rating scales. The
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3

Sandjaja, Stefanus Soejanto, Yuda Syahputra, and Lira Erwinda. "Validasi skala penilaian instrumen perencanaan karier menggunakan Andrich Threshold." Persona:Jurnal Psikologi Indonesia 9, no. 1 (2020): 105–17. http://dx.doi.org/10.30996/persona.v9i1.3310.

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AbstractSuccess in a career is synonymous with the welfare of an individual's life, which needs further handling from the counselor. In determining and preparing for a future career, counselors should use a valid and reliable inventory. However, inventory that is considered valid and reliable by the counselor still raises problems in administration, namely students are confused in setting the response point in the inventory. The purpose of this study is to find a clear and unambiguous rating scale to make it easier for students to set a response point in their inventory. The research sample us
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4

Lefkovitch, L. P. "Analysis of rating scale data." Canadian Journal of Plant Science 71, no. 2 (1991): 571–73. http://dx.doi.org/10.4141/cjps91-085.

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Rating scale data need not be manipulated to satisfy the assumptions of the analysis of variance, but formed into an incidence table classified by the ratings and other factors, and compacted over factors to focus on those which are important. References are given to methods for formal statistical analysis of these tables. Key words: Subjective rating, ordinal logistic
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Bellon, Kimberly, Jerry Wright, Laura Jamison, and Stephanie Kolakowsky-Hayner. "Disability Rating Scale." Journal of Head Trauma Rehabilitation 27, no. 6 (2012): 449–51. http://dx.doi.org/10.1097/htr.0b013e31826674d6.

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6

Christ, Theodore J., and Christina Boice. "Rating Scale Items." Assessment for Effective Intervention 34, no. 4 (2009): 242–50. http://dx.doi.org/10.1177/1534508409336182.

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7

Ward, Jason, and Karen Simpson. "Inappropriate Rating Scale." Acupuncture in Medicine 21, no. 1-2 (2003): 65–67. http://dx.doi.org/10.1136/aim.21.1-2.65.

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8

van Dijk, J. F. M., T. H. Kappen, and A. J. M. van Wijck. "The Relation Between Numeric Rating Scale and Verbal Rating Scale." Regional Anesthesia and Pain Medicine 33, Sup 1 (2008): e157. http://dx.doi.org/10.1097/00115550-200809001-00303.

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9

Anthony, Christopher R., and David W. Biers. "Unidimensional versus Multidimensional Workload Scales and the Effect of Number of Rating Scale Categories." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 41, no. 2 (1997): 1084–88. http://dx.doi.org/10.1177/107118139704100279.

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The present study investigated why the Subjective Workload Assessment Technique (SWAT) (a multidimensional scale) has been found to be less sensitive than Overall Workload Scale (OW) (aunidimensional scale) in previous research. It was hypothesized that previous results could be attributed to number of points on the rating scale. To that end, four rating scale groups were employed in which the dimensionality (unidimensional vs multidimensional) and number of rating scale points (7 vs. 19) on the overall workload scale were varied. Forty-eight subjects performed a continuous recognition task co
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10

Kellner, Robert, and Eberhard H. Uhlenhuth. "The Rating and Self-rating of Anxiety." British Journal of Psychiatry 159, S12 (1991): 15–22. http://dx.doi.org/10.1192/s0007125000296207.

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The principles of measuring anxiety are reviewed. Scales of anxiety differ in their time focus: state-anxiety scales measure the present or recent past, whereas trait-anxiety scales measure the ways the subject generally feels. Commonly used scales have adequate validity, but there is incomplete agreement on the boundaries of the construct of anxiety. There are consistent differences in sensitivity among anxiety scales, and they vary greatly in the number of items, number of cues and in the method of scoring. For self-rating scales a large number of items with only two cues (e.g. ‘yes’ and ‘no
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11

Powers, Stephen, Jesus V. De La Garza, and Marcello Medina. "Stability and Predictive Validity of the Teacher Rating Scale." Psychological Reports 57, no. 2 (1985): 543–46. http://dx.doi.org/10.2466/pr0.1985.57.2.543.

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The stability and predictive validities of the Teacher Rating Scale were examined by computing correlations between ratings by two groups of teachers of the same students and by computing the correlations between teachers' ratings and the California Achievement Test, Reading scores. A total of 257 public school students participated in the study. The results indicated the Teacher Rating Scale was moderately stable across one year and that it had adequate predictive validity. One implication of these findings is that simple rating scales which are carefully developed may be useful in the identi
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12

van Dijk, J. F. M., T. H. Kappen, and A. J. M. van Wijck. "328. The Relation Between Numeric Rating Scale and Verbal Rating Scale." Regional Anesthesia & Pain Medicine 33, Suppl 1 (2008): e157.2-e157. http://dx.doi.org/10.1136/rapm-00115550-200809001-00303.

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13

VANDIJK, J., T. KAPPEN, and A. VANWIJCK. "328: The Relation Between Numeric Rating Scale and Verbal Rating Scale." Regional Anesthesia and Pain Medicine 33, no. 5 (2008): e157-e157. http://dx.doi.org/10.1016/j.rapm.2008.07.317.

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14

Hafkenscheid, Anton. "De Outcome rating scale (ORS) en de Session rating scale (SRS)." Tijdschrift voor Psychotherapie 36, no. 6 (2010): 394–403. http://dx.doi.org/10.1007/s12485-010-0173-9.

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15

Skovlund, E., and O. Flaten. "Response Measures in the Acute Treatment of Migraine." Cephalalgia 15, no. 6 (1995): 519–22. http://dx.doi.org/10.1046/j.1468-2982.1995.1506519.x.

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Pain ratings from 268 migraine patients have been used to compare the visual analogue scale (VAS) and a four-point verbal rating scale. All patients completed pain ratings on both scales at the beginning of a migraine attack and 4 h after starting treatment with sumatriptan or placebo. The VAS scores showed large variability within each category on the verbal rating scale. A common way of analysing pain in migraine studies is to classify patient response as a success or failure based on the score on the four-point verbal rating scale. In this study, the statistical power of analysing response
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16

Paruchuri, Mounika* Veeragandam Satyanarayana Shaik Mabu Subhani Chevula Nikhila Gangisetty Sampath Manchala Vamsi Vardhan. "The Role of Pain Scales in The Assessment of Pain." International Journal of Pharmaceutical Sciences 3, no. 2 (2025): 322–26. https://doi.org/10.5281/zenodo.14810676.

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The purpose of this study is to examine the literature on the Visual Analogue Scale, Verbal Rating Scale, and Numerical Rating Scale—three widely used pain rating scales. The evaluation offers the details required to comprehend the scales' primary characteristics. It is easy to misinterpret data produced by pain-rating scales. Clinicians can make appropriate use of these tools by understanding their key aspects with the aid of this review.  A Medline review using PubMed was conducted without regard to the age of the papers that were retrieved. Before being included, papers were revi
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17

Khromova, Ella. "Dynamic Mapping of Probability of Default and Credit Ratings of Russian Banks." Journal of Corporate Finance Research / Корпоративные Финансы | ISSN: 2073-0438 14, no. 4 (2020): 31–46. http://dx.doi.org/10.17323/j.jcfr.2073-0438.14.4.2020.31-46.

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Investors are interested in a quantitative measure of banks’ credit risk. This paper maps the credit ratings of Russian banks to default probabilities for different time horizons by constructing an empirical dynamic calibration scale. As such, we construct a dynamic scale of credit risk calibration to the probability of default (PD).Our study is based on a random sample of 395 Russian banks (86 of which defaulted) for the period of 2007-2017. The scale proposed by this paper has three features which distinguish it from existing scales: dynamic nature (quarterly probability of default estimates
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18

Das, J. P., and Louise Melnyk. "Attention Checklist: A Rating Scale for Mildly Mentally Handicapped Adolescents." Psychological Reports 64, no. 3_suppl (1989): 1267–74. http://dx.doi.org/10.2466/pr0.1989.64.3c.1267.

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A check list for attentional deficits without reference to hyperactive behavior observed in the classroom was constructed, and teachers' ratings were factor analyzed. The check-list rating was compared to a widely used rating scale for attention deficit-hyperactive disorder (AD-HD), the Abbreviated Conners Rating Scale. Both scales were given to 15 teachers to rate 100 mildly mentally handicapped adolescent students. Analysis showed that 33% of the mentally handicapped students were rated above 1.5 on the Conners Scale, which is the cut-off for hyperactivity. This is much higher than the preva
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19

Middleton, Robert M., Mathew J. Baldwin, Kash Akhtar, Abtin Alvand, and Jonathan L. Rees. "Which Global Rating Scale?" Journal of Bone and Joint Surgery 98, no. 1 (2016): 75–81. http://dx.doi.org/10.2106/jbjs.o.00434.

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20

Park, Hee-Jin and Hyeon-Hee Jeong. "Rating Scale of HTP." Korean Journal of Art Therapy 21, no. 4 (2014): 642–60. http://dx.doi.org/10.35594/kata.2014.21.4.002.

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21

Yeo, Cindy, Wee Shiong Lim, Mark Chan, et al. "Severe Impairment Rating Scale." American Journal of Alzheimer's Disease & Other Dementiasr 31, no. 1 (2015): 87–96. http://dx.doi.org/10.1177/1533317515587085.

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22

Scott, Patti, Mary Jo Gilmer, and Whitney McNay Johannessen. "The Nit Rating Scale." Journal of School Health 74, no. 3 (2004): 108–10. http://dx.doi.org/10.1111/j.1746-1561.2004.tb04213.x.

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23

Takahashi, A. "Rating scale for depression." International Clinical Psychopharmacology 13, no. 1 (1998): 53. http://dx.doi.org/10.1097/00004850-199801000-00048.

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24

BERKSHIRE, STEVEN D., and BONNIE MCMAHON. "Adolescent Milieu Rating Scale." Nursing Management (Springhouse) 25, no. 10 (1994): 94???97. http://dx.doi.org/10.1097/00006247-199410000-00018.

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25

Peterson, Patti L. "BOOK REVIEW RATING SCALE." American Journal of Physical Medicine & Rehabilitation 69, no. 4 (1990): 220. http://dx.doi.org/10.1097/00002060-199008000-00012.

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26

Geiringer, Steve R. "BOOK REVIEW RATING SCALE." American Journal of Physical Medicine & Rehabilitation 70, no. 4 (1991): 225. http://dx.doi.org/10.1097/00002060-199108000-00014.

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27

Holgado Tello, Francisco Pablo, Salvador Chacón Moscoso, Isabel Barbero García, and Susana Sanduvete Chaves. "Training Satisfaction Rating Scale." European Journal of Psychological Assessment 22, no. 4 (2006): 268–79. http://dx.doi.org/10.1027/1015-5759.22.4.268.

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We describe the process of testing a measurement model of a satisfaction rating scale for use with training programs. The scale was developed by the Evaluation Unit of the University of Seville's Training Center. Following an initial content validity study in which we reviewed how training evaluation is modeled, a 12-item rating scale was developed and administered to a sample of 2746 subjects. The measurement model was examined through an exploratory factor analysis using polychoric correlations, the results of which were consistent with the previous dimensions obtained in the content validit
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28

Wright, Jerry, Tamara Bushnik, Flora Hammond, Thomas Novack, and Ken Wood. "The Supervision Rating Scale." Journal of Head Trauma Rehabilitation 21, no. 5 (2006): 435–36. http://dx.doi.org/10.1097/00001199-200609000-00061.

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29

Trzepacz, Paula T. "The Delirium Rating Scale." Psychosomatics 40, no. 3 (1999): 193–204. http://dx.doi.org/10.1016/s0033-3182(99)71235-1.

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30

&NA;. "UCLA Shoulder Rating Scale." Journal of Orthopaedic Trauma 20, Supplement (2006): S139—S140. http://dx.doi.org/10.1097/00005131-200609001-00047.

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31

Holtzer, Roee, Richard G. Burright, and Peter J. Donovick. "Mattis Dementia Rating Scale." Clinical Gerontologist 24, no. 3-4 (2002): 107–14. http://dx.doi.org/10.1300/j018v24n03_09.

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32

Haye, R., L. K. Døsen, M. Tarangen, and O. Shiryaeva. "Good correlation between visual analogue scale and numerical rating scale in the assessment of nasal obstruction." Journal of Laryngology & Otology 132, no. 4 (2018): 327–28. http://dx.doi.org/10.1017/s0022215118000257.

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AbstractObjective:Results from telephone interviews may be needed to supplement those from mailed questionnaires when response rates are inadequate. This study assessed the correlation between visual analogue scale ratings used in mailed questionnaires and numerical rating scale scores used in telephone interviews.Methods:Patients scheduled for nasal septal surgery routinely respond to a visual analogue scale of obstruction during the day and at night. In this study, they were also asked to verbally rate their sense of obstruction using whole numbers.Results:There was no significant difference
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33

Barton-Arwood, Sally M., Joseph H. Wehby, Philip L. Gunter, and Kathleen L. Lane. "Functional Behavior Assessment Rating Scales: Intrarater Reliability with Students with Emotional or Behavioral Disorders." Behavioral Disorders 28, no. 4 (2003): 386–400. http://dx.doi.org/10.1177/019874290302800402.

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This study evaluated the intrarater reliability of two functional behavior assessment rating scales: the Motivation Assessment Scale and the Problem Behavior Questionnaire. Teachers rated 30 students from 10 self-contained classrooms for students with emotional or behavioral disorders on three separate occasions using both rating scales. Pearson correlation coefficients and exact and adjacent agreement percentages indicated variable and inconsistent ratings across administrations and rating scales. The authors discuss possible reasons for inconsistencies, as well as implications for practice a
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34

Hoffman, Calvin C., C. Chy Tashima, and Gypsi Luck. "Using a Difficulty-Anchored Rating Scale in Performing Angoff Ratings." International Journal of Selection and Assessment 18, no. 4 (2010): 407–16. http://dx.doi.org/10.1111/j.1468-2389.2010.00522.x.

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35

Tracey, Terence J., and James P. Guinee. "Generalizability of Interpersonal Communications Rating Scale ratings across presentation modes." Journal of Counseling Psychology 37, no. 3 (1990): 330–36. http://dx.doi.org/10.1037/0022-0167.37.3.330.

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36

Waschbusch, Daniel A., and Michael T. Willoughby. "Parent and Teacher Ratings on the IOWA Conners Rating Scale." Journal of Psychopathology and Behavioral Assessment 30, no. 3 (2007): 180–92. http://dx.doi.org/10.1007/s10862-007-9064-y.

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37

Wang, Wen-Chung, Mark Wilson, and Ching-Lin Shih. "Modeling Randomness in Judging Rating Scales with a Random-Effects Rating Scale Model." Journal of Educational Measurement 43, no. 4 (2006): 335–53. http://dx.doi.org/10.1111/j.1745-3984.2006.00020.x.

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38

Gmehling, Philipp, and Pierfrancesco La Mura. "A Bayesian inference model for the credit rating scale." Journal of Risk Finance 17, no. 4 (2016): 390–404. http://dx.doi.org/10.1108/jrf-04-2016-0055.

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Purpose This paper aims to provide a theoretical explanation of why credit rating agencies typically disclose credit risk of issuers in classes rather than publishing the qualitative ranking those classes are based upon. Thus, its goal is to develop a better understanding of what determines the number and size of rating classes. Design/methodology/approach Investors expect ratings to be sufficiently accurate in estimating credit risk. In a theoretical model framework, it is therefore assumed that credit rating agencies, which observe credit risk with limited accuracy, are careful in not miscla
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39

Porter, Richard J., Will Moot, Maree L. Inder, et al. "Validation of the Longitudinal Interval Follow-Up Evaluation for the Long-Term Measurement of Mood Symptoms in Bipolar Disorder." Brain Sciences 12, no. 12 (2022): 1717. http://dx.doi.org/10.3390/brainsci12121717.

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The long-term burden of symptoms is an important outcome in bipolar disorder (BD). A method which has minimal burden of assessment uses a retrospective interview, the Longitudinal Interval Follow-up Examination (LIFE), although this may be subject to problems with recall. This study examines the relationship between the retrospective LIFE scale and concurrently-rated mood rating scales in two clinical trials of 18 months of psychotherapy for patients with BD. The Montgomery-Asberg Depression Rating Scale (MADRS) and Young Mania Rating Scale (YMRS) were administered every eight to nine weeks an
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40

Shmahelska, Marina. "World ratings: features of formation and impact on the on the country’s economic growth." Socio-Economic Research Bulletin, no. 2(77) (June 30, 2021): 181–92. http://dx.doi.org/10.33987/vsed.2(77).2021.181-192.

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The article investigates the ratings formation as a special type of activity that is actively implemented in a market economy. The process of creating a rating system is considered. It is established that the analysis results of economic entities activities are expressed as the results of evaluation in the rating scale. The main difference between the concepts of «rating» and «ranking» is determined, which allows building economic entities according to the ranking, that is, according to one of the indicators. The criteria that underlie the classification of ratings are analyzed. It is noted th
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Maksimovich, Ivan V. "The tomography dementia rating scale (TDR)—The rating scale of Alzheimer’s disease stages." Health 04, no. 09 (2012): 712–19. http://dx.doi.org/10.4236/health.2012.429111.

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42

Shakya, R., S. K. Khandelwal, and R. Sagar. "Assessment Of Mania With Self Rating Scale." Journal of Psychiatrists' Association of Nepal 5, no. 1 (2017): 14–17. http://dx.doi.org/10.3126/jpan.v5i1.18325.

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Introduction: Patients with mania are generally considered unreliable informants about their illness and most of the mania rating scales are clinician administered. There are few self-rating scales in mania and the utility of which is immense.Objective: The study was aimed to compare the co-relation between the self-rating scales and clinician rating scales in mania.Method: Forty-two patients with mania in the tertiary care center of North Indian setting were applied with Clinician Administered Rating Scale for Mania,Altman Self-Rating Mania scale, Hamilton Rating Scale for Depression and Clin
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43

Pine, Douglas E. "Assessing the Validity of Job Ratings: An Empirical Study of False Reporting in Task Inventories." Public Personnel Management 24, no. 4 (1995): 451–60. http://dx.doi.org/10.1177/009102609502400404.

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Despite the widespread use of task inventories in job analysis, little is known about the validity of the obtained task ratings. One approach for examining the validity of such ratings is the use of a “false reporting” index to identify invalid responding. The purpose of this field experiment was to examine the effects of the type of frequency rating scale and method of task inventory administration on the degree of false reporting in task inventory ratings. A total of 177 Correctional Officers from a state correctional system responded to a 68 item task inventory using frequency and importanc
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44

Sharmila, P. "Overall Web Rating into Single Standard Five-Scale Rating." International Journal for Research in Applied Science and Engineering Technology 7, no. 7 (2019): 605–8. http://dx.doi.org/10.22214/ijraset.2019.7095.

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45

Rausch, Jeffrey L. "Rating Weight Loss on the Hamilton Depression Rating Scale." Archives of General Psychiatry 46, no. 5 (1989): 481. http://dx.doi.org/10.1001/archpsyc.1989.01810050095019.

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46

Hernandez, Adreanna B., Diane S. Berry, Natalie Grill, et al. "WHIGET and TETRAS Ratings of Action Tremor in Patients with Essential Tremor: Substantial Association and Agreement." Tremor and Other Hyperkinetic Movements 14 (March 27, 2024): 14. http://dx.doi.org/10.5334/tohm.874.

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Background: Evaluating tremor severity is a critical component of diagnosing and clinically managing patients with essential tremor (ET). We examined the comparability of tremor severity ratings derived from two frequently used tremor rating scales: the Washington Heights-Inwood Genetic Study of Essential Tremor (WHIGET) rating scale and the Tremor Research Group Essential Tremor Rating Scale (TETRAS). Methods: A trained assistant administered and videotaped a neurological examination, including eight items assessing upper limb action tremor (arms outstretched, arms in the wingbeat position, f
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Miller, Faith G., T. Chris Riley-Tillman, Sandra M. Chafouleas, and Alyssa A. Schardt. "Direct Behavior Rating Instrumentation." Assessment for Effective Intervention 42, no. 2 (2016): 119–26. http://dx.doi.org/10.1177/1534508416658007.

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The purpose of this study was to investigate the impact of two different Direct Behavior Rating–Single Item Scale (DBR-SIS) formats on rating accuracy. A total of 119 undergraduate students participated in one of two study conditions, each utilizing a different DBR-SIS scale format: one that included percentage of time anchors on the DBR-SIS scale and an explicit reference to duration of the target behavior (percent group) and one that did not include percentage anchors nor a reference to duration of the target behavior (no percent group). Participants viewed nine brief video clips and rated s
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48

Chen, Yumiao, and Zhongliang Yang. "Validity and reliability of rating scales for subjective breathing resistance of wearing respirators." Journal of Engineering, Design and Technology 16, no. 6 (2018): 837–49. http://dx.doi.org/10.1108/jedt-05-2018-0082.

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Purpose Investigating the subjective breathing resistance of wearing respirators requires a valid and reliable technique to measure breathing resistance. The purpose of this study is to test the validity and reliability of several rating scales and select the best for investigation of breathing resistance. Design/methodology/approach The authors designed three scales, that is, BRX scale, CP-100 scale and RVAS scale, and 30 subjects were separated into three groups, each group with a different scale. They sat for 5 min and walked for 5 min while wearing three models of respirators. After each t
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Lefroy, R. B., M. S. T. Hobbs, and J. Hyndman. "RATING SCALES IN RESIDENTIAL CARE FOR ELDERLY PEOPLE: THE CRICHTON ROYAL BEHAVIOURAL RATING SCALE." Australian Journal on Ageing 11, no. 4 (1992): 10–15. http://dx.doi.org/10.1111/j.1741-6612.1992.tb00563.x.

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50

Dodwell, David. "Comparison of self-ratings with informant-ratings of pre-morbid personality on two personality rating scales." Psychological Medicine 18, no. 2 (1988): 495–501. http://dx.doi.org/10.1017/s0033291700008035.

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SynopsisIn a study of pre-morbid personality in 56 head-injured subjects, subjects' self-ratings of pre-morbid personality were compared with informants' ratings of the subjects' pre-morbid personality on two personality questionnaires (the Eysenck Personality Inventory (EPI) and the Marke-Nyman Temperament Scale (MNTS)). Correlations between self-ratings and informantratings were positive and significant for all three MNTS and for EPI Extraversion and Lie scales, but not for EPI Neuroticism, where the lack of subject-informant correlation was attributed to contamination of the self-rating of
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