Calculate Standard Error Of Measurement In Spss
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Confidence Interval Spss
is the standard deviation, $R_1$ is the intraclass correlation for a single measure (one-way ICC). spss reliability share|improve this question edited Apr 8 '11 at 1:15 chl♦ 37.4k6124243 asked Apr 7 '11 at 12:36 user4066 You seem to be calculating the coefficient of variation of the measurement, not the standard deviation or standard error. –GaBorgulya Apr 7 '11 at 14:47 @GaBorgulya Usually, SEM is computed in a different way; contrary to SD or SE, it is supposed to account for scores reliability, specific to the measurement instrument. –chl♦ Apr 8 '11 at 1:10 add a comment| 2 Answers 2 active oldest votes up vote 1 down vote You should use the point estimate of the reliability, not the lower bound or whatsoever. I guess by lb/up you mean the 95% CI for the ICC (I don't have SPSS, so I cannot check myself)? It's unfortunate that we also talk of Cronbach's alpha as a "lower bound for reliability" since this might have confused you. It should be noted that this formula is not restricted to the use of an estimate of ICC; in fact, you can plug in any "valid" measure of reliability (most of the times, it is Cronbach's alpha that is being used). Apart from the
#8: Calculating the Standard Error Of The Mean In SPSS Quinnipiac University: Health Professions Biostatistics SubscribeSubscribedUnsubscribe752752 Loading... Loading... Working... Add to Want to watch this again later? Sign in to add this video to
Calculating Standard Error Of Measurement
a playlist. Sign in Share More Report Need to report the video? Sign standard error of measurement example in to report inappropriate content. Sign in Transcript Statistics 18,835 views 21 Like this video? Sign in to make standard error of measurement interpretation your opinion count. Sign in 22 1 Don't like this video? Sign in to make your opinion count. Sign in 2 Loading... Loading... Transcript The interactive transcript could not be loaded. Loading... http://stats.stackexchange.com/questions/9312/how-to-compute-the-standard-error-of-measurement-sem-from-a-reliability-estima Loading... Rating is available when the video has been rented. This feature is not available right now. Please try again later. Published on Jul 5, 2013This video demonstrates how to obtain the standard error of the mean using the statistical software program SPSSSPSS can be used to determine the S.E.M. for various types of data. Category Education License Creative Commons Attribution license (reuse https://www.youtube.com/watch?v=m1TlZ5hqmaQ allowed) Source videos View attributions Show more Show less Loading... Autoplay When autoplay is enabled, a suggested video will automatically play next. Up next Standard Error of Measurement (part 1) - Duration: 5:05. how2stats 32,544 views 5:05 Standard Error of the Mean Compared to Standard Deviation using SPSS - Duration: 7:32. Todd Grande 612 views 7:32 SPSS Tutorial: Inter and Intra rater reliability (Cohen's Kappa, ICC) - Duration: 22:41. Social Science Club 4,715 views 22:41 Statistics 101: Standard Error of the Mean - Duration: 32:03. Brandon Foltz 68,124 views 32:03 120 videos Play all Epic RockJennyni20 (Epic Rock / Epic Pop) Understanding Standard Error - Duration: 5:01. Andrew Jahn 12,831 views 5:01 Simplest Explanation of the Standard Errors of Regression Coefficients - Statistics Help - Duration: 4:07. Quant Concepts 3,922 views 4:07 SPSS Video #9: Obtaining An ROC Curve In SPSS - Duration: 2:14. Quinnipiac University: Health Professions Biostatistics 28,117 views 2:14 Find the Mean and Standard Deviation in SPSS for Two Groups - Duration: 7:39. Quantitative Specialists 57,752 views 7:39 SPSS Video #1: Entering & Defining Variables In SPSS - Duration: 4:14. Quinnipiac University: Health Professions Biostatistics 6,474
Open Access Open Peer Review This article has Open Peer Review reports available. How does Open Peer Review work? The standard error of http://bmcmededuc.biomedcentral.com/articles/10.1186/1472-6920-10-40 measurement is a more appropriate measure of quality for postgraduate medical assessments https://www.researchgate.net/post/When_calculating_the_Standard_Error_Measurement_using_an_N-of-1_design_is_a_negative_value_for_the_Intraclass_Correlation_Coefficient_possible than is reliability: an analysis of MRCP(UK) examinationsJaneTighe1, ICMcManus2Email author, NeilGDewhurst1, LilianaChis1 and JohnMucklow1BMC Medical Education201010:40DOI: 10.1186/1472-6920-10-40© Tighe et al; licensee BioMed Central Ltd.2010Received: 11January2010Accepted: 2June2010Published: 2June2010 Open Peer Review reports Abstract Background Cronbach's alpha is widely used as the preferred index of reliability for standard error medical postgraduate examinations. A value of 0.8-0.9 is seen by providers and regulators alike as an adequate demonstration of acceptable reliability for any assessment. Of the other statistical parameters, Standard Error of Measurement (SEM) is mainly seen as useful only in determining the accuracy of a pass mark. However the alpha coefficient depends both on SEM standard error of and on the ability range (standard deviation, SD) of candidates taking an exam. This study investigated the extent to which the necessarily narrower ability range in candidates taking the second of the three part MRCP(UK) diploma examinations, biases assessment of reliability and SEM. Methods a) The interrelationships of standard deviation (SD), SEM and reliability were investigated in a Monte Carlo simulation of 10,000 candidates taking a postgraduate examination. b) Reliability and SEM were studied in the MRCP(UK) Part 1 and Part 2 Written Examinations from 2002 to 2008. c) Reliability and SEM were studied in eight Specialty Certificate Examinations introduced in 2008-9. Results The Monte Carlo simulation showed, as expected, that restricting the range of an assessment only to those who had already passed it, dramatically reduced the reliability but did not affect the SEM of a simulated assessment. The analysis of the MRCP(UK) Part 1 and Part 2 written examinations showed that the MRCP(UK) Part 2 written examination had a lower reliability than the Part 1 exami
an N-of-1 design, is a negative value for the Intraclass Correlation Coefficient possible? I have currently used 3-D motion capture to conduct gait analysis on children with cerebral palsy before and after an intensive physical intervention (pre- and post-testing). I collected 4 trials for pre- and 4 trials for post-testing and only one testing session occurred for each. There are 9 subjects total, but I need to use an n-of-1 design because the group is heterogeneous and there is a large amount of variability between subjects. I am using the Standard Error Measurement (SEM) to then calculate the Minimal Detectable Change for each child. The equation for the SEM requires the Intraclass Correlation Coefficient (ICC), which SPSS outputs as a negative value for 2 of the 7 variables I am investigating. Is a negative ICC acceptable? If not, how can this be corrected? Thank you Topics Correlation Analysis × 204 Questions 76 Followers Follow Correlation Coefficient × 176 Questions 41 Followers Follow Correlation × 368 Questions 83 Followers Follow Standard Error × 119 Questions 11 Followers Follow Cerebral Palsy × 52 Questions 1,054 Followers Follow Motion Capture × 79 Questions 895 Followers Follow Gait Analysis × 128 Questions 2,290 Followers Follow Dec 2, 2015 Share Facebook Twitter LinkedIn Google+ 0 / 0 All Answers (2) Philippe Terrier · Clinique romande de réadaptation Theoretically, the true ICC cannot be negative, because it estimates the proportion of between subjects variance. The estimate of ICC, which is actually computed, can be negative. Personally, I set negative value to zero, because it signifies that the within subject variance (or between tests variance) is huge, and hence the measure is not reliable at all. Anyway, for the SEM estimates it doesn't matter, because in this case, your SD is the SEM (all the variance is due to measurements, y