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Data collection

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Since QC actions occur during or after the data collection, all the details can be carefully documented. There is a necessity for a clearly defined communication structure as a precondition for establishing monitoring systems. Uncertainty about the flow of information is not recommended, as a poorly
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QA's focus is prevention, which is primarily a cost-effective activity to protect the integrity of data collection. Standardization of protocol, with comprehensive and detailed procedure descriptions for data collection, are central for prevention. The risk of failing to identify problems and errors
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A formal data collection process is necessary, as it ensures that the data gathered are both defined and accurate. This way, subsequent decisions based on arguments embodied in the findings are made using valid data. The process provides both a baseline from which to measure and in certain cases an
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organized communication structure leads to lax monitoring and can also limit the opportunities for detecting errors. Quality control is also responsible for the identification of actions necessary for correcting faulty data collection practices and also minimizing such future occurrences. A
507:, because this data is transferred across countries that have different standards of protection for individual user data. Information processing has advanced to the level where user data can now be used to predict what an individual is saying before they even speak. 300:), accurate data collection is essential to maintain research integrity. The selection of appropriate data collection instruments (existing, modified, or newly developed) and delineated instructions for their correct use reduce the likelihood of 817:
Most, Marlene M.; Craddick, Shirley; Crawford, Staci; Redican, Susan; Rhodes, Donna; Rukenbrod, Fran; Laws, Reesa (October 2003). "Dietary quality assurance processes of the DASH-Sodium controlled diet study".
285:. While methods vary by discipline, the emphasis on ensuring accurate and honest collection remains the same. The goal for all data collection is to capture evidence that allows 417:
data into discernible information. Marketers may want to receive and utilize first, second and third-party data.DMPs enable this, because they are the aggregate system of
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Vuong, Quan-Hoang; La, Viet-Phuong; Vuong, Thu-Trang; Ho, Manh-Toan; Nguyen, Hong-Kong T.; Nguyen, Viet-Ha; Pham, Hiep-Hung; Ho, Manh-Tung (September 25, 2018).
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is more likely to not realize the necessity to perform these actions if their procedures are written vaguely and are not based on feedback or education.
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Failure to recognize exact content and strategies for training and retraining staff members responsible for data collection
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is to support the observation of errors in the data collection process. Those errors may be made intentionally (deliberate
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on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes.
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Vague description of data collection instruments instead of rigorous step-by-step instructions on administering tests
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in the research process is often caused by poorly written guidelines. Listed are several examples of such failures:
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Ziafati Bafarasat, A. (2021) Collecting and validating data: A simple guide for researchers. Advance. Preprint..
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Lescroël, A. L.; Ballard, G.; Grémillet, D.; Authier, M.; Ainley, D. G. (2014). Descamps, Sébastien (ed.).
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There are two approaches that may protect data integrity and secure scientific validity of study results:
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No predetermined mechanism to document changes in procedures that occur during the investigation
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Unclear instructions for using, making adjustments to, and calibrating data collection equipment
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Please expand the article to include this information. Further details may exist on the
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Law of Electronic Commercial Transactions: Contemporary Issues in the EU, US and China
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to lead to the formulation of credible answers to the questions that have been posed.
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There are serious concerns about the integrity of individual user data collected by
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Uncertainty of timing, methods and identification of the responsible person
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Quality control – all actions carried out during and after data collection
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Quality assurance – all actions carried out before data collection
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Data Collection and Analysis By Dr. Roger Sapsford, Victor Jupp
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are identified and weighed each time they cross the automated
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Regardless of the field of or preference for defining data (
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about experiment, sampling, measurement and preprocessing.
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Data collection problems that necessitate prompt action:
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Example of data collection in the biological sciences:
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Autoregressive conditional heteroskedasticity (ARCH)
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Unsourced material may be challenged and removed. 2282: 699: 3293: 362:consist of four steps when it involves taking a 2368:Multivariate adaptive regression splines (MARS) 482:Partial listing of items needed to be collected 705: 923: 550:Individual staff or site performance problems 820:Journal of the American Dietetic Association 764:https://doi.org/10.31124/advance.13637864.v1 640: 393: 53:Learn how and when to remove these messages 968: 930: 916: 1581: 739: 682: 672: 463: 382: 269:component in all study fields, including 219:Learn how and when to remove this message 150:Learn how and when to remove this message 428: 230: 881:"Data, not privacy, is the real danger" 510: 3294: 2894:Kaplan–Meier estimator (product limit) 853:Wang, Faye Fangfei (10 January 2014). 797:Responsible Conduct in Data Management 498: 2967: 2534: 2281: 1580: 1350: 967: 911: 791:Northern Illinois University (2005). 3204: 2904:Accelerated failure time (AFT) model 852: 311: 161: 88:adding citations to reliable sources 59: 18: 3216: 2499:Analysis of variance (ANOVA, anova) 1351: 622:Quantitative methods in criminology 13: 2594:Cochran–Mantel–Haenszel statistics 1220:Pearson product-moment correlation 16:Gathering information for analysis 14: 3323: 895: 366:and seven steps when it involves 243:on their way to or from the sea. 34:This article has multiple issues. 3279: 3267: 3255: 3243: 3215: 3203: 3191: 3178: 3177: 2968: 433:The main reason for maintaining 316: 254:is the process of gathering and 166: 64: 23: 2853:Least-squares spectral analysis 547:Errors in individual data items 374:indication of what to improve. 75:needs additional citations for 42:or discuss these issues on the 1834:Mean-unbiased minimum-variance 937: 873: 846: 810: 784: 768: 756: 307: 181:format but may read better as 1: 3147:Geographic information system 2363:Simultaneous equations models 832:10.1016/s0002-8223(03)01080-0 633: 2330:Coefficient of determination 1941:Uniformly most powerful test 674:10.1371/journal.pone.0085291 7: 2899:Proportional hazards models 2843:Spectral density estimation 2825:Vector autoregression (VAR) 2259:Maximum posterior estimator 1491:Randomized controlled trial 559: 421:(demand side platform) and 10: 3328: 2659:Multivariate distributions 1079:Average absolute deviation 859:. Routledge. p. 154. 514: 467: 397: 386: 351: 3173: 3127: 3064: 3017: 2980: 2976: 2963: 2935: 2917: 2884: 2875: 2833: 2780: 2741: 2690: 2681: 2647:Structural equation model 2602: 2559: 2555: 2530: 2489: 2455: 2409: 2376: 2338: 2305: 2301: 2277: 2217: 2126: 2045: 2009: 2000: 1983:Score/Lagrange multiplier 1968: 1921: 1866: 1792: 1783: 1593: 1589: 1576: 1535: 1509: 1461: 1416: 1398:Sample size determination 1363: 1359: 1346: 1250: 1205: 1179: 1161: 1117: 1069: 989: 980: 976: 963: 945: 902:All about data collection 597:Scientific data archiving 406:Data management platforms 3142:Environmental statistics 2664:Elliptical distributions 2457:Generalized linear model 2386:Simple linear regression 2156:Hodges–Lehmann estimator 1613:Probability distribution 1522:Stochastic approximation 1084:Coefficient of variation 544:or scientific misconduct 441:) or non-intentionally ( 400:Data management platform 394:Data management platform 377: 2802:Cross-correlation (XCF) 2410:Non-standard predictors 1844:Lehmann–ScheffĂ© theorem 1517:Adaptive clinical trial 190:converting this article 3250:Business and economics 3198:Mathematics portal 3019:Engineering statistics 2927:Nelson–Aalen estimator 2504:Analysis of covariance 2391:Ordinary least squares 2315:Pearson product-moment 1719:Statistical functional 1630:Empirical distribution 1463:Controlled experiments 1192:Frequency distribution 970:Descriptive statistics 732:10.1038/sdata.2018.188 607:Survey data collection 464:Quality assurance (QA) 389:Data collection system 383:Data collection system 327:is missing information 244: 3312:Design of experiments 3114:Population statistics 3056:System identification 2790:Autocorrelation (ACF) 2718:Exponential smoothing 2632:Discriminant analysis 2627:Canonical correlation 2491:Partition of variance 2353:Regression validation 2197:(Jonckheere–Terpstra) 2096:Likelihood-ratio test 1785:Frequentist inference 1697:Location–scale family 1618:Sampling distribution 1583:Statistical inference 1550:Cross-sectional study 1537:Observational studies 1496:Randomized experiment 1325:Stem-and-leaf display 1127:Central limit theorem 592:Sampling (statistics) 567:Controlled experiment 538:Violation of protocol 515:Further information: 468:Further information: 429:Data integrity issues 234: 3037:Probabilistic design 2622:Principal components 2465:Exponential families 2417:Nonlinear regression 2396:General linear model 2358:Mixed effects models 2348:Errors and residuals 2325:Confounding variable 2227:Bayesian probability 2205:Van der Waerden test 2195:Ordered alternative 1960:Multiple comparisons 1839:Rao–Blackwellization 1802:Estimating equations 1758:Statistical distance 1476:Factorial experiment 1009:Arithmetic-Geometric 511:Quality control (QC) 358:Data collection and 84:improve this article 3109:Official statistics 3032:Methods engineering 2713:Seasonal adjustment 2481:Poisson regressions 2401:Bayesian regression 2340:Regression analysis 2320:Partial correlation 2292:Regression analysis 1891:Prediction interval 1886:Likelihood interval 1876:Confidence interval 1868:Interval estimation 1829:Unbiased estimators 1647:Model specification 1527:Up-and-down designs 1215:Partial correlation 1171:Index of dispersion 1089:Interquartile range 724:2018NatSD...580188V 665:2014PLoSO...985291L 617:Quantitative method 587:Observational study 499:User privacy issues 3307:Survey methodology 3129:Spatial statistics 3009:Medical statistics 2909:First hitting time 2863:Whittle likelihood 2514:Degrees of freedom 2509:Multivariate ANOVA 2442:Heteroscedasticity 2254:Bayesian estimator 2219:Bayesian inference 2068:Kolmogorov–Smirnov 1953:Randomization test 1923:Testing hypotheses 1896:Tolerance interval 1807:Maximum likelihood 1702:Exponential family 1635:Density estimation 1595:Statistical theory 1555:Natural experiment 1501:Scientific control 1418:Survey methodology 1104:Standard deviation 887:. 4 February 2019. 612:Qualitative method 602:Statistical survey 245: 192:, if appropriate. 3231: 3230: 3169: 3168: 3165: 3164: 3104:National accounts 3074:Actuarial science 3066:Social statistics 2959: 2958: 2955: 2954: 2951: 2950: 2886:Survival function 2871: 2870: 2733:Granger causality 2574:Contingency table 2549:Survival analysis 2526: 2525: 2522: 2521: 2378:Linear regression 2273: 2272: 2269: 2268: 2244:Credible interval 2213: 2212: 1996: 1995: 1812:Method of moments 1681:Parametric family 1642:Statistical model 1572: 1571: 1568: 1567: 1486:Random assignment 1408:Statistical power 1342: 1341: 1338: 1337: 1187:Contingency table 1157: 1156: 1024:Generalized/power 866:978-1-134-11522-8 826:(10): 1339–1346. 793:"Data Collection" 534:Systematic errors 470:Quality assurance 447:systematic errors 415:demand and supply 354:scientific method 350: 349: 229: 228: 221: 211: 210: 160: 159: 152: 134: 99:"Data collection" 57: 3319: 3284: 3283: 3282: 3272: 3271: 3260: 3259: 3248: 3247: 3239: 3219: 3218: 3207: 3206: 3196: 3195: 3181: 3180: 3084:Crime statistics 2978: 2977: 2965: 2964: 2882: 2881: 2848:Fourier analysis 2835:Frequency domain 2815: 2762: 2728:Structural break 2688: 2687: 2637:Cluster analysis 2584:Log-linear model 2557: 2556: 2532: 2531: 2473: 2447:Homoscedasticity 2303: 2302: 2279: 2278: 2198: 2190: 2182: 2181:(Kruskal–Wallis) 2166: 2151: 2106:Cross validation 2091: 2073:Anderson–Darling 2020: 2007: 2006: 1978:Likelihood-ratio 1970:Parametric tests 1948:Permutation test 1931:1- & 2-tails 1822:Minimum distance 1794:Point estimation 1790: 1789: 1741:Optimal decision 1692: 1591: 1590: 1578: 1577: 1560:Quasi-experiment 1510:Adaptive designs 1361: 1360: 1348: 1347: 1225:Rank correlation 987: 986: 978: 977: 965: 964: 932: 925: 918: 909: 908: 904:– TechTarget.com 889: 888: 877: 871: 870: 850: 844: 843: 814: 808: 807: 805: 803: 788: 782: 772: 766: 760: 754: 753: 743: 703: 697: 696: 686: 676: 644: 572:Data acquisition 345: 342: 336: 320: 312: 265:collection is a 224: 217: 206: 203: 197: 188:You can help by 170: 169: 162: 155: 148: 144: 141: 135: 133: 92: 68: 60: 49: 27: 26: 19: 3327: 3326: 3322: 3321: 3320: 3318: 3317: 3316: 3302:Data collection 3292: 3291: 3290: 3280: 3278: 3266: 3254: 3242: 3234: 3232: 3227: 3190: 3161: 3123: 3060: 3046:quality control 3013: 2995:Clinical trials 2972: 2947: 2931: 2919:Hazard function 2913: 2867: 2829: 2813: 2776: 2772:Breusch–Godfrey 2760: 2737: 2677: 2652:Factor analysis 2598: 2579:Graphical model 2551: 2518: 2485: 2471: 2451: 2405: 2372: 2334: 2297: 2296: 2265: 2209: 2196: 2188: 2180: 2164: 2149: 2128:Rank statistics 2122: 2101:Model selection 2089: 2047:Goodness of fit 2041: 2018: 1992: 1964: 1917: 1862: 1851:Median unbiased 1779: 1690: 1623:Order statistic 1585: 1564: 1531: 1505: 1457: 1412: 1355: 1353:Data collection 1334: 1246: 1201: 1175: 1153: 1113: 1065: 982:Continuous data 972: 959: 941: 936: 898: 893: 892: 879: 878: 874: 867: 851: 847: 815: 811: 801: 799: 789: 785: 773: 769: 761: 757: 712:Scientific Data 704: 700: 645: 641: 636: 631: 582:Data management 562: 519: 517:Quality control 513: 505:cloud computing 501: 472: 466: 431: 402: 396: 391: 385: 380: 356: 346: 340: 337: 330: 321: 310: 275:social sciences 248:Data collection 237:AdĂ©lie penguins 225: 214: 213: 212: 207: 201: 198: 187: 171: 167: 156: 145: 139: 136: 93: 91: 81: 69: 28: 24: 17: 12: 11: 5: 3325: 3315: 3314: 3309: 3304: 3289: 3288: 3276: 3264: 3252: 3229: 3228: 3226: 3225: 3213: 3201: 3187: 3174: 3171: 3170: 3167: 3166: 3163: 3162: 3160: 3159: 3154: 3149: 3144: 3139: 3133: 3131: 3125: 3124: 3122: 3121: 3116: 3111: 3106: 3101: 3096: 3091: 3086: 3081: 3076: 3070: 3068: 3062: 3061: 3059: 3058: 3053: 3048: 3039: 3034: 3029: 3023: 3021: 3015: 3014: 3012: 3011: 3006: 3001: 2992: 2990:Bioinformatics 2986: 2984: 2974: 2973: 2961: 2960: 2957: 2956: 2953: 2952: 2949: 2948: 2946: 2945: 2939: 2937: 2933: 2932: 2930: 2929: 2923: 2921: 2915: 2914: 2912: 2911: 2906: 2901: 2896: 2890: 2888: 2879: 2873: 2872: 2869: 2868: 2866: 2865: 2860: 2855: 2850: 2845: 2839: 2837: 2831: 2830: 2828: 2827: 2822: 2817: 2809: 2804: 2799: 2798: 2797: 2795:partial (PACF) 2786: 2784: 2778: 2777: 2775: 2774: 2769: 2764: 2756: 2751: 2745: 2743: 2742:Specific tests 2739: 2738: 2736: 2735: 2730: 2725: 2720: 2715: 2710: 2705: 2700: 2694: 2692: 2685: 2679: 2678: 2676: 2675: 2674: 2673: 2672: 2671: 2656: 2655: 2654: 2644: 2642:Classification 2639: 2634: 2629: 2624: 2619: 2614: 2608: 2606: 2600: 2599: 2597: 2596: 2591: 2589:McNemar's test 2586: 2581: 2576: 2571: 2565: 2563: 2553: 2552: 2528: 2527: 2524: 2523: 2520: 2519: 2517: 2516: 2511: 2506: 2501: 2495: 2493: 2487: 2486: 2484: 2483: 2467: 2461: 2459: 2453: 2452: 2450: 2449: 2444: 2439: 2434: 2429: 2427:Semiparametric 2424: 2419: 2413: 2411: 2407: 2406: 2404: 2403: 2398: 2393: 2388: 2382: 2380: 2374: 2373: 2371: 2370: 2365: 2360: 2355: 2350: 2344: 2342: 2336: 2335: 2333: 2332: 2327: 2322: 2317: 2311: 2309: 2299: 2298: 2295: 2294: 2289: 2283: 2275: 2274: 2271: 2270: 2267: 2266: 2264: 2263: 2262: 2261: 2251: 2246: 2241: 2240: 2239: 2234: 2223: 2221: 2215: 2214: 2211: 2210: 2208: 2207: 2202: 2201: 2200: 2192: 2184: 2168: 2165:(Mann–Whitney) 2160: 2159: 2158: 2145: 2144: 2143: 2132: 2130: 2124: 2123: 2121: 2120: 2119: 2118: 2113: 2108: 2098: 2093: 2090:(Shapiro–Wilk) 2085: 2080: 2075: 2070: 2065: 2057: 2051: 2049: 2043: 2042: 2040: 2039: 2031: 2022: 2010: 2004: 2002:Specific tests 1998: 1997: 1994: 1993: 1991: 1990: 1985: 1980: 1974: 1972: 1966: 1965: 1963: 1962: 1957: 1956: 1955: 1945: 1944: 1943: 1933: 1927: 1925: 1919: 1918: 1916: 1915: 1914: 1913: 1908: 1898: 1893: 1888: 1883: 1878: 1872: 1870: 1864: 1863: 1861: 1860: 1855: 1854: 1853: 1848: 1847: 1846: 1841: 1826: 1825: 1824: 1819: 1814: 1809: 1798: 1796: 1787: 1781: 1780: 1778: 1777: 1772: 1767: 1766: 1765: 1755: 1750: 1749: 1748: 1738: 1737: 1736: 1731: 1726: 1716: 1711: 1706: 1705: 1704: 1699: 1694: 1678: 1677: 1676: 1671: 1666: 1656: 1655: 1654: 1649: 1639: 1638: 1637: 1627: 1626: 1625: 1615: 1610: 1605: 1599: 1597: 1587: 1586: 1574: 1573: 1570: 1569: 1566: 1565: 1563: 1562: 1557: 1552: 1547: 1541: 1539: 1533: 1532: 1530: 1529: 1524: 1519: 1513: 1511: 1507: 1506: 1504: 1503: 1498: 1493: 1488: 1483: 1478: 1473: 1467: 1465: 1459: 1458: 1456: 1455: 1453:Standard error 1450: 1445: 1440: 1439: 1438: 1433: 1422: 1420: 1414: 1413: 1411: 1410: 1405: 1400: 1395: 1390: 1385: 1383:Optimal design 1380: 1375: 1369: 1367: 1357: 1356: 1344: 1343: 1340: 1339: 1336: 1335: 1333: 1332: 1327: 1322: 1317: 1312: 1307: 1302: 1297: 1292: 1287: 1282: 1277: 1272: 1267: 1262: 1256: 1254: 1248: 1247: 1245: 1244: 1239: 1238: 1237: 1232: 1222: 1217: 1211: 1209: 1203: 1202: 1200: 1199: 1194: 1189: 1183: 1181: 1180:Summary tables 1177: 1176: 1174: 1173: 1167: 1165: 1159: 1158: 1155: 1154: 1152: 1151: 1150: 1149: 1144: 1139: 1129: 1123: 1121: 1115: 1114: 1112: 1111: 1106: 1101: 1096: 1091: 1086: 1081: 1075: 1073: 1067: 1066: 1064: 1063: 1058: 1053: 1052: 1051: 1046: 1041: 1036: 1031: 1026: 1021: 1016: 1014:Contraharmonic 1011: 1006: 995: 993: 984: 974: 973: 961: 960: 958: 957: 952: 946: 943: 942: 935: 934: 927: 920: 912: 906: 905: 897: 896:External links 894: 891: 890: 872: 865: 845: 809: 783: 767: 755: 698: 638: 637: 635: 632: 630: 629: 624: 619: 614: 609: 604: 599: 594: 589: 584: 579: 574: 569: 563: 561: 558: 557: 556: 551: 548: 545: 539: 536: 512: 509: 500: 497: 496: 495: 492: 489: 486: 483: 480: 465: 462: 461: 460: 457: 435:data integrity 430: 427: 398:Main article: 395: 392: 387:Main article: 384: 381: 379: 376: 348: 347: 324: 322: 315: 309: 306: 252:data gathering 227: 226: 209: 208: 174: 172: 165: 158: 157: 72: 70: 63: 58: 32: 31: 29: 22: 15: 9: 6: 4: 3: 2: 3324: 3313: 3310: 3308: 3305: 3303: 3300: 3299: 3297: 3287: 3277: 3275: 3270: 3265: 3263: 3258: 3253: 3251: 3246: 3241: 3240: 3237: 3224: 3223: 3214: 3212: 3211: 3202: 3200: 3199: 3194: 3188: 3186: 3185: 3176: 3175: 3172: 3158: 3155: 3153: 3152:Geostatistics 3150: 3148: 3145: 3143: 3140: 3138: 3135: 3134: 3132: 3130: 3126: 3120: 3119:Psychometrics 3117: 3115: 3112: 3110: 3107: 3105: 3102: 3100: 3097: 3095: 3092: 3090: 3087: 3085: 3082: 3080: 3077: 3075: 3072: 3071: 3069: 3067: 3063: 3057: 3054: 3052: 3049: 3047: 3043: 3040: 3038: 3035: 3033: 3030: 3028: 3025: 3024: 3022: 3020: 3016: 3010: 3007: 3005: 3002: 3000: 2996: 2993: 2991: 2988: 2987: 2985: 2983: 2982:Biostatistics 2979: 2975: 2971: 2966: 2962: 2944: 2943:Log-rank test 2941: 2940: 2938: 2934: 2928: 2925: 2924: 2922: 2920: 2916: 2910: 2907: 2905: 2902: 2900: 2897: 2895: 2892: 2891: 2889: 2887: 2883: 2880: 2878: 2874: 2864: 2861: 2859: 2856: 2854: 2851: 2849: 2846: 2844: 2841: 2840: 2838: 2836: 2832: 2826: 2823: 2821: 2818: 2816: 2814:(Box–Jenkins) 2810: 2808: 2805: 2803: 2800: 2796: 2793: 2792: 2791: 2788: 2787: 2785: 2783: 2779: 2773: 2770: 2768: 2767:Durbin–Watson 2765: 2763: 2757: 2755: 2752: 2750: 2749:Dickey–Fuller 2747: 2746: 2744: 2740: 2734: 2731: 2729: 2726: 2724: 2723:Cointegration 2721: 2719: 2716: 2714: 2711: 2709: 2706: 2704: 2701: 2699: 2698:Decomposition 2696: 2695: 2693: 2689: 2686: 2684: 2680: 2670: 2667: 2666: 2665: 2662: 2661: 2660: 2657: 2653: 2650: 2649: 2648: 2645: 2643: 2640: 2638: 2635: 2633: 2630: 2628: 2625: 2623: 2620: 2618: 2615: 2613: 2610: 2609: 2607: 2605: 2601: 2595: 2592: 2590: 2587: 2585: 2582: 2580: 2577: 2575: 2572: 2570: 2569:Cohen's kappa 2567: 2566: 2564: 2562: 2558: 2554: 2550: 2546: 2542: 2538: 2533: 2529: 2515: 2512: 2510: 2507: 2505: 2502: 2500: 2497: 2496: 2494: 2492: 2488: 2482: 2478: 2474: 2468: 2466: 2463: 2462: 2460: 2458: 2454: 2448: 2445: 2443: 2440: 2438: 2435: 2433: 2430: 2428: 2425: 2423: 2422:Nonparametric 2420: 2418: 2415: 2414: 2412: 2408: 2402: 2399: 2397: 2394: 2392: 2389: 2387: 2384: 2383: 2381: 2379: 2375: 2369: 2366: 2364: 2361: 2359: 2356: 2354: 2351: 2349: 2346: 2345: 2343: 2341: 2337: 2331: 2328: 2326: 2323: 2321: 2318: 2316: 2313: 2312: 2310: 2308: 2304: 2300: 2293: 2290: 2288: 2285: 2284: 2280: 2276: 2260: 2257: 2256: 2255: 2252: 2250: 2247: 2245: 2242: 2238: 2235: 2233: 2230: 2229: 2228: 2225: 2224: 2222: 2220: 2216: 2206: 2203: 2199: 2193: 2191: 2185: 2183: 2177: 2176: 2175: 2172: 2171:Nonparametric 2169: 2167: 2161: 2157: 2154: 2153: 2152: 2146: 2142: 2141:Sample median 2139: 2138: 2137: 2134: 2133: 2131: 2129: 2125: 2117: 2114: 2112: 2109: 2107: 2104: 2103: 2102: 2099: 2097: 2094: 2092: 2086: 2084: 2081: 2079: 2076: 2074: 2071: 2069: 2066: 2064: 2062: 2058: 2056: 2053: 2052: 2050: 2048: 2044: 2038: 2036: 2032: 2030: 2028: 2023: 2021: 2016: 2012: 2011: 2008: 2005: 2003: 1999: 1989: 1986: 1984: 1981: 1979: 1976: 1975: 1973: 1971: 1967: 1961: 1958: 1954: 1951: 1950: 1949: 1946: 1942: 1939: 1938: 1937: 1934: 1932: 1929: 1928: 1926: 1924: 1920: 1912: 1909: 1907: 1904: 1903: 1902: 1899: 1897: 1894: 1892: 1889: 1887: 1884: 1882: 1879: 1877: 1874: 1873: 1871: 1869: 1865: 1859: 1856: 1852: 1849: 1845: 1842: 1840: 1837: 1836: 1835: 1832: 1831: 1830: 1827: 1823: 1820: 1818: 1815: 1813: 1810: 1808: 1805: 1804: 1803: 1800: 1799: 1797: 1795: 1791: 1788: 1786: 1782: 1776: 1773: 1771: 1768: 1764: 1761: 1760: 1759: 1756: 1754: 1751: 1747: 1746:loss function 1744: 1743: 1742: 1739: 1735: 1732: 1730: 1727: 1725: 1722: 1721: 1720: 1717: 1715: 1712: 1710: 1707: 1703: 1700: 1698: 1695: 1693: 1687: 1684: 1683: 1682: 1679: 1675: 1672: 1670: 1667: 1665: 1662: 1661: 1660: 1657: 1653: 1650: 1648: 1645: 1644: 1643: 1640: 1636: 1633: 1632: 1631: 1628: 1624: 1621: 1620: 1619: 1616: 1614: 1611: 1609: 1606: 1604: 1601: 1600: 1598: 1596: 1592: 1588: 1584: 1579: 1575: 1561: 1558: 1556: 1553: 1551: 1548: 1546: 1543: 1542: 1540: 1538: 1534: 1528: 1525: 1523: 1520: 1518: 1515: 1514: 1512: 1508: 1502: 1499: 1497: 1494: 1492: 1489: 1487: 1484: 1482: 1479: 1477: 1474: 1472: 1469: 1468: 1466: 1464: 1460: 1454: 1451: 1449: 1448:Questionnaire 1446: 1444: 1441: 1437: 1434: 1432: 1429: 1428: 1427: 1424: 1423: 1421: 1419: 1415: 1409: 1406: 1404: 1401: 1399: 1396: 1394: 1391: 1389: 1386: 1384: 1381: 1379: 1376: 1374: 1371: 1370: 1368: 1366: 1362: 1358: 1354: 1349: 1345: 1331: 1328: 1326: 1323: 1321: 1318: 1316: 1313: 1311: 1308: 1306: 1303: 1301: 1298: 1296: 1293: 1291: 1288: 1286: 1283: 1281: 1278: 1276: 1275:Control chart 1273: 1271: 1268: 1266: 1263: 1261: 1258: 1257: 1255: 1253: 1249: 1243: 1240: 1236: 1233: 1231: 1228: 1227: 1226: 1223: 1221: 1218: 1216: 1213: 1212: 1210: 1208: 1204: 1198: 1195: 1193: 1190: 1188: 1185: 1184: 1182: 1178: 1172: 1169: 1168: 1166: 1164: 1160: 1148: 1145: 1143: 1140: 1138: 1135: 1134: 1133: 1130: 1128: 1125: 1124: 1122: 1120: 1116: 1110: 1107: 1105: 1102: 1100: 1097: 1095: 1092: 1090: 1087: 1085: 1082: 1080: 1077: 1076: 1074: 1072: 1068: 1062: 1059: 1057: 1054: 1050: 1047: 1045: 1042: 1040: 1037: 1035: 1032: 1030: 1027: 1025: 1022: 1020: 1017: 1015: 1012: 1010: 1007: 1005: 1002: 1001: 1000: 997: 996: 994: 992: 988: 985: 983: 979: 975: 971: 966: 962: 956: 953: 951: 948: 947: 944: 940: 933: 928: 926: 921: 919: 914: 913: 910: 903: 900: 899: 886: 882: 876: 868: 862: 858: 857: 849: 841: 837: 833: 829: 825: 821: 813: 798: 794: 787: 781: 780:0-7619-5046-X 777: 771: 765: 759: 751: 747: 742: 737: 733: 729: 725: 721: 717: 713: 709: 702: 694: 690: 685: 680: 675: 670: 666: 662: 659:(1): e85291. 658: 654: 650: 643: 639: 628: 625: 623: 620: 618: 615: 613: 610: 608: 605: 603: 600: 598: 595: 593: 590: 588: 585: 583: 580: 578: 577:Data curation 575: 573: 570: 568: 565: 564: 555: 554:Shadow effect 552: 549: 546: 543: 540: 537: 535: 532: 531: 530: 527: 525: 518: 508: 506: 493: 490: 487: 484: 481: 478: 477: 476: 471: 458: 455: 454: 453: 450: 448: 444: 440: 439:falsification 436: 426: 424: 420: 416: 412: 408: 407: 401: 390: 375: 371: 369: 365: 361: 355: 344: 334: 328: 325:This article 323: 319: 314: 313: 305: 303: 299: 295: 290: 288: 287:data analysis 284: 280: 276: 272: 268: 264: 260: 257: 253: 249: 242: 238: 233: 223: 220: 205: 196:is available. 195: 191: 185: 184: 180: 175:This article 173: 164: 163: 154: 151: 143: 132: 129: 125: 122: 118: 115: 111: 108: 104: 101: â€“  100: 96: 95:Find sources: 89: 85: 79: 78: 73:This article 71: 67: 62: 61: 56: 54: 47: 46: 41: 40: 35: 30: 21: 20: 3220: 3208: 3189: 3182: 3094:Econometrics 3044: / 3027:Chemometrics 3004:Epidemiology 2997: / 2970:Applications 2812:ARIMA model 2759:Q-statistic 2708:Stationarity 2604:Multivariate 2547: / 2543: / 2541:Multivariate 2539: / 2479: / 2475: / 2249:Bayes factor 2148:Signed rank 2060: 2034: 2026: 2014: 1709:Completeness 1545:Cohort study 1443:Opinion poll 1378:Missing data 1365:Study design 1352: 1320:Scatter plot 1242:Scatter plot 1235:Spearman's ρ 1197:Grouped data 884: 875: 855: 848: 823: 819: 812: 800:. Retrieved 796: 786: 770: 758: 715: 711: 701: 656: 652: 642: 528: 520: 502: 473: 451: 432: 404: 403: 372: 357: 338: 326: 294:quantitative 291: 251: 247: 246: 215: 199: 194:Editing help 176: 146: 137: 127: 120: 113: 106: 94: 82:Please help 77:verification 74: 50: 43: 37: 36:Please help 33: 3274:Mathematics 3222:WikiProject 3137:Cartography 3099:Jurimetrics 3051:Reliability 2782:Time domain 2761:(Ljung–Box) 2683:Time-series 2561:Categorical 2545:Time-series 2537:Categorical 2472:(Bernoulli) 2307:Correlation 2287:Correlation 2083:Jarque–Bera 2055:Chi-squared 1817:M-estimator 1770:Asymptotics 1714:Sufficiency 1481:Interaction 1393:Replication 1373:Effect size 1330:Violin plot 1310:Radar chart 1290:Forest plot 1280:Correlogram 1230:Kendall's τ 627:Data mining 308:Methodology 298:qualitative 259:information 241:weighbridge 202:August 2021 3296:Categories 3089:Demography 2807:ARMA model 2612:Regression 2189:(Friedman) 2150:(Wilcoxon) 2088:Normality 2078:Lilliefors 2025:Student's 1901:Resampling 1775:Robustness 1763:divergence 1753:Efficiency 1691:(monotone) 1686:Likelihood 1603:Population 1436:Stratified 1388:Population 1207:Dependence 1163:Count data 1094:Percentile 1071:Dispersion 1004:Arithmetic 939:Statistics 718:: 180188. 634:References 360:validation 352:See also: 279:humanities 140:April 2017 110:newspapers 39:improve it 2470:Logistic 2237:posterior 2163:Rank sum 1911:Jackknife 1906:Bootstrap 1724:Bootstrap 1659:Parameter 1608:Statistic 1403:Statistic 1315:Run chart 1300:Pie chart 1295:Histogram 1285:Fan chart 1260:Bar chart 1142:L-moments 1029:Geometric 411:marketing 341:July 2023 333:talk page 256:measuring 45:talk page 3286:Contents 3184:Category 2877:Survival 2754:Johansen 2477:Binomial 2432:Isotonic 2019:(normal) 1664:location 1471:Blocking 1426:Sampling 1305:Q–Q plot 1270:Box plot 1252:Graphics 1147:Skewness 1137:Kurtosis 1109:Variance 1039:Heronian 1034:Harmonic 885:NBC News 840:14520254 750:30251992 693:24489657 653:PLOS ONE 560:See also 368:sampling 283:business 271:physical 267:research 3262:Science 3236:Portals 3210:Commons 3157:Kriging 3042:Process 2999:studies 2858:Wavelet 2691:General 1858:Plug-in 1652:L space 1431:Cluster 1132:Moments 950:Outline 802:June 8, 741:6154282 720:Bibcode 684:3906005 661:Bibcode 124:scholar 3079:Census 2669:Normal 2617:Manova 2437:Robust 2187:2-way 2179:1-way 2017:-test 1688:  1265:Biplot 1056:Median 1049:Lehmer 991:Center 863:  838:  778:  748:  738:  691:  681:  443:random 364:census 302:errors 281:, and 177:is in 126:  119:  112:  105:  97:  2703:Trend 2232:prior 2174:anova 2063:-test 2037:-test 2029:-test 1936:Power 1881:Pivot 1674:shape 1669:scale 1119:Shape 1099:Range 1044:Heinz 1019:Cubic 955:Index 542:Fraud 378:Tools 183:prose 131:JSTOR 117:books 2936:Test 2136:Sign 1988:Wald 1061:Mode 999:Mean 861:ISBN 836:PMID 804:2019 776:ISBN 746:PMID 689:PMID 524:team 423:SSPs 419:DSPs 273:and 263:Data 179:list 103:news 2116:BIC 2111:AIC 828:doi 824:103 736:PMC 728:doi 679:PMC 669:doi 449:). 445:or 296:or 250:or 86:by 3298:: 883:. 834:. 822:. 795:. 744:. 734:. 726:. 714:. 710:. 687:. 677:. 667:. 655:. 651:. 370:. 304:. 277:, 48:. 3238:: 2061:G 2035:F 2027:t 2015:Z 1734:V 1729:U 931:e 924:t 917:v 869:. 842:. 830:: 806:. 752:. 730:: 722:: 716:5 695:. 671:: 663:: 657:9 343:) 339:( 335:. 222:) 216:( 204:) 200:( 186:. 153:) 147:( 142:) 138:( 128:· 121:· 114:· 107:· 80:. 55:) 51:(

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