A Preliminary Study of the Bilingual Version of Khatena-Morse Multitalent Perception Inventory

1994 ◽  
Vol 78 (3) ◽  
pp. 784-786 ◽  
Author(s):  
Ananda Kumar Palaniappan

A bilingual version of the Khatena-Morse Multitalent Perception Inventory was designed to measure multitalent perception among Malaysian students. Forms A and B, each of 50 items, require the respondents to choose one of two alternatives. Test-retest reliability and criterion validity indexes for the Malaysian bilingual version suggested that it is suitable for assessing the multitalent perception as well as giftedness in various areas of talent. Replication with other groups is recommended.

1993 ◽  
Vol 77 (3) ◽  
pp. 948-950 ◽  
Author(s):  
Ananda Kumar Palaniappan

A bilingual version of the Khatena-Torrance Creative Perception Inventory was given to 70 Malaysian students. The two 50-item subscales, ‘Something About Myself’ and ‘What Kind of Person Are You?’, require the respondent to choose one of two alternatives. Test-retest reliability and criterion validity indices for this version suggest the bilingual form is suitable to assess the creative perception of these students. Replication with other groups is recommended.


1994 ◽  
Vol 79 (1) ◽  
pp. 393-394
Author(s):  
Ananda Kumar Palaniappan

A bilingual version of Torrance's Creative Motivation Inventory was administered to 64 Malaysian students. The 28-item true-false self-report was found to have moderate to high test-retest reliability and criterion validity. Replication with other groups is recommended.


1994 ◽  
Vol 79 (3_suppl) ◽  
pp. 1625-1626
Author(s):  
Ananda Kumar Palaniappan

A bilingual version of Shostrom's Self-actualization Value subscale of the Personal Orientation Inventory was administered to 62 Malaysian students. For the 26-item paired-opposite inventory, test-retest reliability over 6 mo. was .39 (for boys .42, for girls .37) and criterion validity was .57. Replication with other groups is recommended.


2019 ◽  
Author(s):  
Stephanie A Maganja ◽  
David C Clarke ◽  
Scott A Lear ◽  
Dawn C Mackey

BACKGROUND To assess whether commercial-grade activity monitors are appropriate for measuring step counts in older adults, it is essential to evaluate their measurement properties in this population. OBJECTIVE This study aimed to evaluate test-retest reliability and criterion validity of step counting in older adults with self-reported intact and limited mobility from 6 commercial-grade activity monitors: Fitbit Charge, Fitbit One, Garmin vívofit 2, Jawbone UP2, Misfit Shine, and New-Lifestyles NL-1000. METHODS For test-retest reliability, participants completed two 100-step overground walks at a usual pace while wearing all monitors. We tested the effects of the activity monitor and mobility status on the absolute difference in step count error (%) and computed the standard error of measurement (SEM) between repeat trials. To assess criterion validity, participants completed two 400-meter overground walks at a usual pace while wearing all monitors. The first walk was continuous; the second walk incorporated interruptions to mimic the conditions of daily walking. Criterion step counts were from the researcher tally count. We estimated the effects of the activity monitor, mobility status, and walk interruptions on step count error (%). We also generated Bland-Altman plots and conducted equivalence tests. RESULTS A total of 36 individuals participated (n=20 intact mobility and n=16 limited mobility; 19/36, 53% female) with a mean age of 71.4 (SD 4.7) years and BMI of 29.4 (SD 5.9) kg/m<sup>2</sup>. Considering test-retest reliability, there was an effect of the activity monitor (<i>P</i>&lt;.001). The Fitbit One (1.0%, 95% CI 0.6% to 1.3%), the New-Lifestyles NL-1000 (2.6%, 95% CI 1.3% to 3.9%), and the Garmin vívofit 2 (6.0%, 95 CI 3.2% to 8.8%) had the smallest mean absolute differences in step count errors. The SEM values ranged from 1.0% (Fitbit One) to 23.5% (Jawbone UP2). Regarding criterion validity, all monitors undercounted the steps. Step count error was affected by the activity monitor (<i>P</i>&lt;.001) and walk interruptions (<i>P</i>=.02). Three monitors had small mean step count errors: Misfit Shine (−1.3%, 95% CI −19.5% to 16.8%), Fitbit One (−2.1%, 95% CI −6.1% to 2.0%), and New-Lifestyles NL-1000 (−4.3%, 95 CI −18.9% to 10.3%). Mean step count error was larger during interrupted walking than continuous walking (−5.5% vs −3.6%; <i>P</i>=.02). Bland-Altman plots illustrated nonsystematic bias and small limits of agreement for Fitbit One and Jawbone UP2. Mean step count error lay within an equivalence bound of ±5% for Fitbit One (<i>P</i>&lt;.001) and Misfit Shine (<i>P</i>=.001). CONCLUSIONS Test-retest reliability and criterion validity of step counting varied across 6 consumer-grade activity monitors worn by older adults with self-reported intact and limited mobility. Walk interruptions increased the step count error for all monitors, whereas mobility status did not affect the step count error. The hip-worn Fitbit One was the only monitor with high test-retest reliability and criterion validity.


Author(s):  
Amel Tayech ◽  
Mohamed A. Mejri ◽  
Helmi Chaabene ◽  
Mehdi Chaouachi ◽  
David G. Behm ◽  
...  

2019 ◽  
Vol 46 (1) ◽  
pp. 67-75 ◽  
Author(s):  
Samuel F. Whitley ◽  
Yojanna Cuenca-Carlino

Many schools attempt to identify and service students at risk for poor mental health outcomes within a multi-tiered system of support (MTSS). Universal screening within a MTSS requires technically adequate tools. The Social, Academic, and Emotional Behavior Risk Screener (SAEBRS) has been put forth as a technically adequate screener. Researchers have examined the factor structure, diagnostic accuracy, criterion validity, and internal consistency of SAEBRS data. However, previous research has not examined its temporal stability or replicated the criterion validity results with a racially/ethnically diverse urban elementary school sample. This study examined the test–retest reliability, convergent validity, and predictive validity of teacher-completed SAEBRS ratings with racially/ethnically diverse group students enrolled in first through fifth grade in an urban elementary school. Reliability analyses resulted in significant test–retest reliability coefficients across four weeks for all SAEBRS scales. Furthermore, nonsignificant paired samples t tests were observed with the exception of the third-grade Emotional subscale. Validity analyses yielded significant concurrent and predictive Pearson correlation coefficients between SAEBRS ratings, oral reading fluency, and office discipline referrals. Limitations and implications of the results are discussed.


2018 ◽  
Vol 21 (12) ◽  
pp. 1268-1273 ◽  
Author(s):  
Sean F. Mungovan ◽  
Paula J. Peralta ◽  
Gregory C. Gass ◽  
Aaron T. Scanlan

2015 ◽  
Vol 12 (1) ◽  
pp. 116-123 ◽  
Author(s):  
Kathleen Simpson ◽  
Beth Parker ◽  
Jeffrey Capizzi ◽  
Paul Thompson ◽  
Priscilla Clarkson ◽  
...  

Background:Little information exists regarding the psychometric properties of question 8 (Q8) of the Paffenbarger Physical Activity Questionnaire (PPAQ) to assess exercise. Thus, we conducted 2 studies to assess the validity and test–retest reliability of Q8 among adults.Methods:Study 1 participants (n = 419) were 44.1 ± 16.1 years of age. Validity was determined by comparing self-reported hr·d−1 in sedentary, light, moderate, and vigorous intensity physical activity (PA) and MET-hr·wk−1 on Q8 at baseline to accelerometer and health/fitness measurements using Spearman rank-order correlations. Study 2 participants (n = 217) were 44.7 ± 16.3 years of age and completed Q8 at baseline, 3 months, and 6 months. Test–retest reliability was determined using repeated measures analysis of covariance, intraclass correlations (ICCs), and standard error of the measurement (SEM).Results:Q8 displayed good criterion validity compared with accelerometer measurements (r = .102 to .200, P < .05) and predictive validity compared with health/fitness measurements (r = –.272 to .203, P < .05). No differences were observed in self-reported hr·d−1 in any of the PA categories at baseline, 3 months, and 6 months (ICC: 0.49 to 0.68; SEM: 1.0 to 2.0; P > .05), indicating good reliability.Conclusion:Q8 demonstrates adequate criterion validity, acceptable predictive validity, and satisfactory test–retest reliability and can be used in conjunction with other components of the PPAQ to provide a complete representation of exercise.


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