testRetestSimData is a simulated dataframe used to demonstrate the testRetestAlpha coefficient function.
This dataset contains the true scores of 250 participants on some variable, and 10 items of a scale administered twice (at t0 and at t1).
data(testRetestSimData)
Format
A data frame with 250 observations on the following 21 variables.
trueScoreThe true scores
t0_item1Score on item 1 at test
t0_item2Score on item 2 at test
t0_item3Score on item 3 at test
t0_item4Score on item 4 at test
t0_item5Score on item 5 at test
t0_item6Score on item 6 at test
t0_item7Score on item 7 at test
t0_item8Score on item 8 at test
t0_item9Score on item 9 at test
t0_item10Score on item 10 at test
t1_item1Score on item 1 at retest
t1_item2Score on item 2 at retest
t1_item3Score on item 3 at retest
t1_item4Score on item 4 at retest
t1_item5Score on item 5 at retest
t1_item6Score on item 6 at retest
t1_item7Score on item 7 at retest
t1_item8Score on item 8 at retest
t1_item9Score on item 9 at retest
t1_item10Score on item 10 at retest
Details
This dataset was generated with the code in the reliabilityTest.r test script.
Examples
data(testRetestSimData); head(testRetestSimData);#> trueScore t0_item1 t0_item2 t0_item3 t0_item4 t0_item5 t0_item6 t0_item7 #> 1 18.47356 29.93730 50.23123 30.61498 49.01391 23.01165 32.36001 -16.27159 #> 2 20.25497 39.76955 67.81076 35.74118 44.76242 50.05253 35.03221 -12.50143 #> 3 20.36003 33.48308 42.22236 27.62342 36.27752 39.74102 29.85808 -13.60571 #> 4 17.12198 30.27362 51.64451 25.69399 37.17631 28.56495 22.50433 -15.38949 #> 5 17.44536 31.30345 33.73300 27.53687 30.49654 17.04260 24.90859 -14.29490 #> 6 18.46149 33.09629 56.51762 25.25943 40.53681 32.53490 25.71742 -13.55935 #> t0_item8 t0_item9 t0_item10 t1_item1 t1_item2 t1_item3 t1_item4 t1_item5 #> 1 18.62356 28.19281 16.55457 34.27009 56.34011 27.30023 41.40305 42.24301 #> 2 20.86903 33.92511 17.18689 30.55629 65.15381 34.34133 36.02030 32.99461 #> 3 17.10305 25.45521 15.52954 34.15362 60.56516 31.28728 43.62388 28.02922 #> 4 10.71415 28.28530 15.84175 31.38832 40.06834 26.58784 31.84802 24.53492 #> 5 15.00101 19.95791 14.03616 34.11844 50.67717 30.42697 30.95247 36.22028 #> 6 15.05864 24.16088 16.28288 36.02580 62.32867 31.57279 47.30800 40.58996 #> t1_item6 t1_item7 t1_item8 t1_item9 t1_item10 #> 1 35.02187 -13.82493 21.69289 28.89302 15.61633 #> 2 29.91902 -13.55183 14.67212 21.31144 14.85717 #> 3 28.65425 -12.60380 20.07914 28.33966 18.21115 #> 4 24.08168 -14.04168 10.86614 21.73757 13.04613 #> 5 24.66111 -13.62583 19.63161 24.16325 16.11558 #> 6 30.06071 -11.49482 18.76819 28.93773 15.98035hist(testRetestSimData$t0_item1);cor(testRetestSimData);#> trueScore t0_item1 t0_item2 t0_item3 t0_item4 t0_item5 t0_item6 #> trueScore 1.0000000 0.5126016 0.5660286 0.5172596 0.5643243 0.4492779 0.5286859 #> t0_item1 0.5126016 1.0000000 0.4646043 0.5060917 0.4910252 0.3884140 0.5457322 #> t0_item2 0.5660286 0.4646043 1.0000000 0.4265309 0.5852347 0.4227765 0.4871109 #> t0_item3 0.5172596 0.5060917 0.4265309 1.0000000 0.4603952 0.4655180 0.4352316 #> t0_item4 0.5643243 0.4910252 0.5852347 0.4603952 1.0000000 0.4480695 0.5644705 #> t0_item5 0.4492779 0.3884140 0.4227765 0.4655180 0.4480695 1.0000000 0.4262135 #> t0_item6 0.5286859 0.5457322 0.4871109 0.4352316 0.5644705 0.4262135 1.0000000 #> t0_item7 0.5069032 0.4339918 0.5037283 0.4338933 0.5353011 0.5121554 0.5072184 #> t0_item8 0.5070424 0.4781048 0.5229818 0.4125417 0.5103903 0.4369460 0.4937599 #> t0_item9 0.5074280 0.4636073 0.4671002 0.3827791 0.4885506 0.4420408 0.4367517 #> t0_item10 0.5807674 0.4999515 0.4782223 0.4576191 0.4952955 0.4637514 0.4794001 #> t1_item1 0.4970000 0.2697570 0.2324916 0.2046261 0.3319180 0.2220899 0.3096957 #> t1_item2 0.5351950 0.1874214 0.2832971 0.2620506 0.2198319 0.1998051 0.2194833 #> t1_item3 0.5257571 0.2510465 0.2995884 0.2345540 0.2674033 0.2740557 0.2794394 #> t1_item4 0.4467991 0.1896167 0.3157308 0.2536295 0.3619082 0.2635696 0.3389556 #> t1_item5 0.4801448 0.1916003 0.2762438 0.2133213 0.2749382 0.2430390 0.2694793 #> t1_item6 0.5603493 0.2718811 0.2608230 0.2136651 0.2555160 0.2343649 0.2931888 #> t1_item7 0.5135826 0.1897554 0.2133114 0.2157206 0.1970393 0.2352373 0.2233035 #> t1_item8 0.4876761 0.1851276 0.2157995 0.2437282 0.2136455 0.1387310 0.2154885 #> t1_item9 0.5296476 0.2349146 0.2854411 0.2236946 0.3316359 0.2374103 0.1912019 #> t1_item10 0.4745415 0.2150442 0.2503530 0.1439450 0.2288002 0.2368534 0.2390417 #> t0_item7 t0_item8 t0_item9 t0_item10 t1_item1 t1_item2 t1_item3 #> trueScore 0.5069032 0.5070424 0.5074280 0.5807674 0.4970000 0.5351950 0.5257571 #> t0_item1 0.4339918 0.4781048 0.4636073 0.4999515 0.2697570 0.1874214 0.2510465 #> t0_item2 0.5037283 0.5229818 0.4671002 0.4782223 0.2324916 0.2832971 0.2995884 #> t0_item3 0.4338933 0.4125417 0.3827791 0.4576191 0.2046261 0.2620506 0.2345540 #> t0_item4 0.5353011 0.5103903 0.4885506 0.4952955 0.3319180 0.2198319 0.2674033 #> t0_item5 0.5121554 0.4369460 0.4420408 0.4637514 0.2220899 0.1998051 0.2740557 #> t0_item6 0.5072184 0.4937599 0.4367517 0.4794001 0.3096957 0.2194833 0.2794394 #> t0_item7 1.0000000 0.4123229 0.4705156 0.5112051 0.2799645 0.1932820 0.2149115 #> t0_item8 0.4123229 1.0000000 0.4177686 0.5028512 0.2392902 0.2208614 0.3818962 #> t0_item9 0.4705156 0.4177686 1.0000000 0.5089910 0.1764343 0.2016116 0.1396368 #> t0_item10 0.5112051 0.5028512 0.5089910 1.0000000 0.3638106 0.3301314 0.3077104 #> t1_item1 0.2799645 0.2392902 0.1764343 0.3638106 1.0000000 0.3707201 0.4067887 #> t1_item2 0.1932820 0.2208614 0.2016116 0.3301314 0.3707201 1.0000000 0.4585733 #> t1_item3 0.2149115 0.3818962 0.1396368 0.3077104 0.4067887 0.4585733 1.0000000 #> t1_item4 0.3007458 0.2865395 0.2342140 0.3222896 0.3728111 0.4164098 0.4574595 #> t1_item5 0.2819547 0.2991569 0.1607464 0.2850846 0.4212458 0.4828026 0.4651779 #> t1_item6 0.2513542 0.2471390 0.2239523 0.3266980 0.4739204 0.4827881 0.4900555 #> t1_item7 0.1747688 0.2518096 0.2116927 0.2727648 0.3921900 0.4967127 0.4714615 #> t1_item8 0.1325753 0.1679866 0.1108616 0.2840271 0.4390231 0.5656359 0.4814119 #> t1_item9 0.3274092 0.2637880 0.1913770 0.3325094 0.4487356 0.5129317 0.4414149 #> t1_item10 0.1693752 0.1808012 0.1140743 0.2010126 0.3476129 0.4273277 0.4656326 #> t1_item4 t1_item5 t1_item6 t1_item7 t1_item8 t1_item9 t1_item10 #> trueScore 0.4467991 0.4801448 0.5603493 0.5135826 0.4876761 0.5296476 0.4745415 #> t0_item1 0.1896167 0.1916003 0.2718811 0.1897554 0.1851276 0.2349146 0.2150442 #> t0_item2 0.3157308 0.2762438 0.2608230 0.2133114 0.2157995 0.2854411 0.2503530 #> t0_item3 0.2536295 0.2133213 0.2136651 0.2157206 0.2437282 0.2236946 0.1439450 #> t0_item4 0.3619082 0.2749382 0.2555160 0.1970393 0.2136455 0.3316359 0.2288002 #> t0_item5 0.2635696 0.2430390 0.2343649 0.2352373 0.1387310 0.2374103 0.2368534 #> t0_item6 0.3389556 0.2694793 0.2931888 0.2233035 0.2154885 0.1912019 0.2390417 #> t0_item7 0.3007458 0.2819547 0.2513542 0.1747688 0.1325753 0.3274092 0.1693752 #> t0_item8 0.2865395 0.2991569 0.2471390 0.2518096 0.1679866 0.2637880 0.1808012 #> t0_item9 0.2342140 0.1607464 0.2239523 0.2116927 0.1108616 0.1913770 0.1140743 #> t0_item10 0.3222896 0.2850846 0.3266980 0.2727648 0.2840271 0.3325094 0.2010126 #> t1_item1 0.3728111 0.4212458 0.4739204 0.3921900 0.4390231 0.4487356 0.3476129 #> t1_item2 0.4164098 0.4828026 0.4827881 0.4967127 0.5656359 0.5129317 0.4273277 #> t1_item3 0.4574595 0.4651779 0.4900555 0.4714615 0.4814119 0.4414149 0.4656326 #> t1_item4 1.0000000 0.3940611 0.4661161 0.4554263 0.4348928 0.4209461 0.3341799 #> t1_item5 0.3940611 1.0000000 0.4507101 0.5055954 0.4905989 0.4971334 0.4113071 #> t1_item6 0.4661161 0.4507101 1.0000000 0.4560920 0.5184240 0.4388376 0.4595161 #> t1_item7 0.4554263 0.5055954 0.4560920 1.0000000 0.5153435 0.4570379 0.4325889 #> t1_item8 0.4348928 0.4905989 0.5184240 0.5153435 1.0000000 0.4644051 0.3992053 #> t1_item9 0.4209461 0.4971334 0.4388376 0.4570379 0.4644051 1.0000000 0.4492094 #> t1_item10 0.3341799 0.4113071 0.4595161 0.4325889 0.3992053 0.4492094 1.0000000
