A long-format event log of collaborative-learning regulation actions, one row per coded event. It is the long companion to the wide group_regulation sequence matrix: the same nine regulation actions, recorded here with actor, session, timing, and grouping columns so the package's long-format import, grouping, and between-group comparison paths can be demonstrated on a single realistic data set.
Format
A data.frame with 27,533 rows and 6 columns:
- Actor
Integer student identifier (2,000 students).
- Achiever
Achievement group,
HighorLow.- Group
Numeric collaboration-group identifier.
- Course
Course identifier (
A,B, orC).- Time
Event timestamp (
POSIXct).- Action
The regulation action code.
Source
Derived without modification from tna::group_regulation_long
(tna package, MIT license).
Details
The nine actions are adapt, cohesion, consensus, coregulate,
discuss, emotion, monitor, plan, and synthesis. The Achiever
column (High / Low) is a recorded grouping variable suitable for
between-group analysis.
See also
group_regulation (the wide sequence matrix of the same actions)
Examples
fit <- lsa(group_regulation_long, actor = "Actor",
action = "Action", time = "Time")
transitions(fit, significant = TRUE)
#> from to lag count expected prob prob_col
#> 1 adapt adapt 1 0 10.58548 0.0000000000 0.000000000
#> 2 cohesion adapt 1 5 35.25026 0.0029498525 0.009416196
#> 3 consensus adapt 1 30 131.62178 0.0047400853 0.056497175
#> 4 discuss adapt 1 282 82.16743 0.0713743356 0.531073446
#> 5 emotion adapt 1 7 59.00000 0.0024673951 0.013182674
#> 6 monitor adapt 1 16 29.80155 0.0111653873 0.030131827
#> 7 plan adapt 1 6 128.04477 0.0009745006 0.011299435
#> 8 synthesis adapt 1 153 13.55939 0.2346625767 0.288135593
#> 9 adapt cohesion 1 139 34.24831 0.2730844794 0.080908033
#> 10 cohesion cohesion 1 46 114.04888 0.0271386431 0.026775320
#> 11 consensus cohesion 1 94 425.84976 0.0148522673 0.054714785
#> 12 coregulate cohesion 1 71 132.55238 0.0360406091 0.041327125
#> 13 discuss cohesion 1 188 265.84491 0.0475828904 0.109429569
#> 14 emotion cohesion 1 923 190.88889 0.3253436729 0.537252619
#> 15 plan cohesion 1 155 414.27666 0.0251745980 0.090221187
#> 16 synthesis cohesion 1 22 43.87013 0.0337423313 0.012805588
#> 17 adapt consensus 1 243 126.96593 0.4774066798 0.038153556
#> 18 cohesion consensus 1 844 422.80402 0.4979351032 0.132516879
#> 19 consensus consensus 1 519 1578.71778 0.0820034761 0.081488460
#> 20 coregulate consensus 1 265 491.40054 0.1345177665 0.041607788
#> 21 discuss consensus 1 1269 985.54494 0.3211845103 0.199246350
#> 22 emotion consensus 1 909 707.66667 0.3204088826 0.142722562
#> 23 monitor consensus 1 228 357.45024 0.1591067690 0.035798398
#> 24 plan consensus 1 1788 1535.81377 0.2904011694 0.280734809
#> 25 synthesis consensus 1 304 162.63612 0.4662576687 0.047731198
#> 26 adapt coregulate 1 11 41.76380 0.0216110020 0.005250597
#> 27 cohesion coregulate 1 202 139.07590 0.1191740413 0.096420048
#> 28 consensus coregulate 1 1188 519.29875 0.1877073787 0.567064439
#> 29 coregulate coregulate 1 46 161.63984 0.0233502538 0.021957041
#> 30 emotion coregulate 1 97 232.77778 0.0341910469 0.046300716
#> 31 monitor coregulate 1 83 117.57862 0.0579204466 0.039618138
#> 32 plan coregulate 1 106 505.18603 0.0172161767 0.050596659
#> 33 synthesis coregulate 1 29 53.49704 0.0444785276 0.013842482
#> 34 adapt discuss 1 30 78.06541 0.0589390963 0.007660878
#> 35 cohesion discuss 1 101 259.96240 0.0595870206 0.025791624
#> 36 consensus discuss 1 1190 970.67967 0.1880233844 0.303881512
#> 37 coregulate discuss 1 539 302.13919 0.2736040609 0.137640449
#> 38 discuss discuss 1 770 605.96546 0.1948873703 0.196629213
#> 39 emotion discuss 1 289 435.11111 0.1018681706 0.073799796
#> 40 monitor discuss 1 538 219.77942 0.3754361479 0.137385087
#> 41 plan discuss 1 418 944.30000 0.0678902063 0.106741573
#> 42 synthesis discuss 1 41 99.99734 0.0628834356 0.010469867
#> 43 consensus emotion 1 460 687.11033 0.0726813083 0.165945166
#> 44 coregulate emotion 1 339 213.87381 0.1720812183 0.122294372
#> 45 emotion emotion 1 218 308.00000 0.0768417342 0.078643579
#> 46 monitor emotion 1 130 155.57420 0.0907187718 0.046897547
#> 47 plan emotion 1 904 668.43708 0.1468247523 0.326118326
#> 48 synthesis emotion 1 46 70.78463 0.0705521472 0.016594517
#> 49 cohesion monitor 1 56 81.52039 0.0330383481 0.045602606
#> 50 coregulate monitor 1 170 94.74641 0.0862944162 0.138436482
#> 51 discuss monitor 1 88 190.02185 0.0222728423 0.071661238
#> 52 emotion monitor 1 103 136.44444 0.0363059570 0.083876221
#> 53 monitor monitor 1 26 68.91959 0.0181437544 0.021172638
#> 54 plan monitor 1 465 296.11859 0.0755237941 0.378664495
#> 55 synthesis monitor 1 8 31.35769 0.0122699387 0.006514658
#> 56 adapt plan 1 8 123.87600 0.0157170923 0.001287416
#> 57 cohesion plan 1 239 412.51439 0.1410029499 0.038461538
#> 58 consensus plan 1 2505 1540.29711 0.3957971243 0.403121983
#> 59 discuss plan 1 46 961.56010 0.0116426221 0.007402639
#> 60 emotion plan 1 283 690.44444 0.0997532605 0.045542324
#> 61 monitor plan 1 309 348.75111 0.2156315422 0.049726424
#> 62 plan plan 1 2304 1498.43724 0.3742082183 0.370775668
#> 63 synthesis plan 1 49 158.67810 0.0751533742 0.007885420
#> 64 adapt synthesis 1 0 13.75514 0.0000000000 0.000000000
#> 65 cohesion synthesis 1 6 45.80543 0.0035398230 0.008695652
#> 66 consensus synthesis 1 48 171.03396 0.0075841365 0.069565217
#> 67 coregulate synthesis 1 37 53.23699 0.0187817259 0.053623188
#> 68 discuss synthesis 1 557 106.77124 0.1409769679 0.807246377
#> 69 emotion synthesis 1 8 76.66667 0.0028198802 0.011594203
#> 70 monitor synthesis 1 23 38.72518 0.0160502442 0.033333333
#> 71 plan synthesis 1 11 166.38585 0.0017865844 0.015942029
#> 72 synthesis synthesis 1 0 17.61955 0.0000000000 0.000000000
#> adj_res p yules_q kappa kappa_z kappa_p
#> 1 -3.321172 8.964036e-04 -1.00000000 -1.00000000 -3.407241 6.562326e-04
#> 2 -5.328777 9.887630e-08 -0.76815515 -0.86487614 -5.501609 3.763398e-08
#> 3 -10.321470 5.635375e-25 -0.69808622 -0.78064489 -10.626996 2.231867e-26
#> 4 24.231765 1.029539e-129 0.73632074 0.41898018 23.262364 1.066476e-119
#> 5 -7.256332 3.977281e-13 -0.81051007 -0.88686508 -7.477053 7.600754e-14
#> 6 -2.629750 8.544776e-03 -0.31830027 -0.47547698 -2.729049 6.351727e-03
#> 7 -12.511825 6.432933e-36 -0.93232010 -0.95497640 -12.779205 2.142483e-37
#> 8 38.765883 0.000000e+00 0.90419397 0.25648706 36.979611 2.435758e-299
#> 9 18.721459 3.309601e-78 0.69595780 0.19728728 17.534158 7.860557e-69
#> 10 -6.828371 8.588429e-12 -0.46004781 -0.62550338 -7.428456 1.098727e-13
#> 11 -19.199681 3.723726e-82 -0.71939250 -0.79294659 -20.152734 2.546563e-90
#> 12 -5.762519 8.286776e-09 -0.33555110 -0.50164445 -6.453101 1.095842e-10
#> 13 -5.377083 7.570229e-08 -0.20862594 -0.34035996 -6.470425 9.772769e-11
#> 14 58.195387 0.000000e+00 0.85999151 0.43927962 54.994955 0.000000e+00
#> 15 -15.141283 8.650916e-52 -0.54521777 -0.64961238 -16.229253 3.132462e-59
#> 16 -3.463455 5.332862e-04 -0.35374869 -0.54817843 -4.013098 5.992696e-05
#> 17 12.006664 3.278050e-33 0.47618556 0.25461753 10.574333 3.919551e-26
#> 18 24.470257 3.063603e-132 0.53350656 0.28159408 21.833395 1.118017e-105
#> 19 -35.497755 5.323515e-276 -0.66124843 -0.69069542 -37.566241 7.651900e-309
#> 20 -12.271654 1.285985e-34 -0.38450860 -0.49674131 -13.674891 1.434222e-42
#> 21 11.335976 8.705623e-30 0.20921222 0.06709475 8.327445 8.260609e-17
#> 22 9.265853 1.935238e-20 0.19624970 0.06471949 6.650739 2.916241e-11
#> 23 -8.134771 4.127192e-16 -0.28754940 -0.39078314 -8.961317 3.208234e-19
#> 24 8.526657 1.506377e-17 0.13857046 0.03067308 5.003000 5.644499e-07
#> 25 12.961486 2.022890e-38 0.46093598 0.22591268 10.797602 3.533111e-27
#> 26 -5.018838 5.198507e-07 -0.60882735 -0.74370177 -5.124343 2.985764e-07
#> 27 5.763652 8.231325e-09 0.22132666 0.03509009 5.375263 7.647078e-08
#> 28 35.315814 3.358380e-273 0.64674728 0.41173975 34.579929 5.061358e-262
#> 29 -9.882335 4.966221e-23 -0.59867800 -0.72162537 -10.055133 8.720377e-24
#> 30 -9.852010 6.718664e-23 -0.46333992 -0.59281732 -10.107190 5.133562e-24
#> 31 -3.425915 6.127324e-04 -0.19406423 -0.29328946 -3.404199 6.635848e-04
#> 32 -21.279390 1.762194e-100 -0.73440542 -0.79340786 -21.470606 2.931680e-102
#> 33 -3.541249 3.982380e-04 -0.32096577 -0.48650863 -3.857909 1.143613e-04
#> 34 -5.972127 2.341794e-09 -0.49178012 -0.65058433 -6.624680 3.480016e-11
#> 35 -11.089408 1.412188e-28 -0.50087253 -0.64561891 -12.273561 1.256050e-34
#> 36 8.821638 1.127978e-18 0.16657595 0.04251186 5.276346 1.317850e-07
#> 37 15.416242 1.272999e-53 0.38489574 0.11563963 12.983856 1.510790e-38
#> 38 7.877160 3.349058e-15 0.17304750 0.03014949 5.002635 5.655205e-07
#> 39 -8.074444 6.778478e-16 -0.25288227 -0.39356590 -9.916283 3.536845e-23
#> 40 24.012112 2.078138e-127 0.57333274 0.23656606 22.125436 1.798889e-108
#> 41 -21.367339 2.690331e-101 -0.50306997 -0.59275813 -23.705396 3.172039e-124
#> 42 -6.495438 8.279245e-11 -0.46653428 -0.63709979 -7.466048 8.263939e-14
#> 43 -10.581177 3.643527e-26 -0.27174124 -0.39403300 -13.272713 3.332919e-40
#> 44 9.433227 3.976612e-21 0.28701490 0.05318708 7.212594 5.489597e-13
#> 45 -5.761010 8.361185e-09 -0.20740022 -0.36522504 -7.619099 2.554530e-14
#> 46 -2.235275 2.539932e-02 -0.10477842 -0.23219212 -3.297611 9.751109e-04
#> 47 11.077730 1.609004e-28 0.23458138 0.07036128 7.355536 1.901625e-13
#> 48 -3.160714 1.573828e-03 -0.23691712 -0.43501266 -4.220820 2.434153e-05
#> 49 -2.998287 2.715016e-03 -0.20425402 -0.44695480 -4.789371 1.673049e-06
#> 50 8.248683 1.601497e-16 0.33531696 0.03757770 5.193875 2.059612e-07
#> 51 -8.250868 1.572485e-16 -0.41996506 -0.62544607 -10.728282 7.497680e-27
#> 52 -3.112615 1.854376e-03 -0.16119431 -0.39165991 -5.562385 2.661117e-08
#> 53 -5.454184 4.919832e-08 -0.47926363 -0.68852121 -6.656994 2.794840e-11
#> 54 11.547048 7.639963e-31 0.33174607 0.08714244 6.201821 5.581354e-10
#> 55 -4.330899 1.485020e-05 -0.61170418 -0.80069564 -5.288972 1.230055e-07
#> 56 -12.090133 1.190940e-33 -0.90763463 -0.93996853 -12.578374 2.776858e-36
#> 57 -10.164606 2.852717e-24 -0.34161399 -0.45972490 -11.485298 1.563950e-30
#> 58 32.584046 6.901601e-233 0.46476603 0.17441815 28.448854 5.034845e-178
#> 59 -36.920053 2.203193e-298 -0.94280770 -0.95518391 -38.199414 2.879810e-319
#> 60 -18.907708 9.854735e-80 -0.52298101 -0.61740429 -20.443299 6.891972e-93
#> 61 -2.518793 1.177580e-02 -0.08279025 -0.15265932 -3.441229 5.790786e-04
#> 62 27.463606 4.779402e-166 0.40569788 0.14132672 23.450016 1.321402e-121
#> 63 -10.139979 3.671800e-24 -0.60424280 -0.72057367 -11.097153 1.295031e-28
#> 64 -3.797991 1.458734e-04 -1.00000000 -1.00000000 -3.921252 8.808993e-05
#> 65 -6.170903 6.790092e-10 -0.78531293 -0.87677594 -6.418691 1.374511e-10
#> 66 -10.997344 3.935548e-28 -0.63806313 -0.73328344 -11.488170 1.512823e-30
#> 67 -2.348460 1.885120e-02 -0.19649048 -0.34485584 -2.734633 6.244993e-03
#> 68 48.046315 0.000000e+00 0.92718439 0.72078887 46.056449 0.000000e+00
#> 69 -8.432723 3.377132e-17 -0.83271163 -0.90174133 -8.749372 2.145424e-18
#> 70 -2.636879 8.367269e-03 -0.27139592 -0.42699997 -2.820536 4.794346e-03
#> 71 -14.019129 1.190665e-44 -0.90606241 -0.93727164 -14.434398 3.143784e-47
#> 72 -4.310854 1.626251e-05 -1.00000000 -1.00000000 -4.512807 6.397511e-06
#> lift sign significant
#> 1 0.00000000 under TRUE
#> 2 0.14184291 under TRUE
#> 3 0.22792580 under TRUE
#> 4 3.43201678 over TRUE
#> 5 0.11864407 under TRUE
#> 6 0.53688481 under TRUE
#> 7 0.04685861 under TRUE
#> 8 11.28369034 over TRUE
#> 9 4.05859488 over TRUE
#> 10 0.40333584 under TRUE
#> 11 0.22073512 under TRUE
#> 12 0.53563730 under TRUE
#> 13 0.70717924 under TRUE
#> 14 4.83527357 over TRUE
#> 15 0.37414611 under TRUE
#> 16 0.50148018 under TRUE
#> 17 1.91389932 over TRUE
#> 18 1.99619673 over TRUE
#> 19 0.32874780 under TRUE
#> 20 0.53927495 under TRUE
#> 21 1.28761251 over TRUE
#> 22 1.28450306 over TRUE
#> 23 0.63785102 under TRUE
#> 24 1.16420365 over TRUE
#> 25 1.86920349 over TRUE
#> 26 0.26338602 under TRUE
#> 27 1.45244429 over TRUE
#> 28 2.28770048 over TRUE
#> 29 0.28458331 under TRUE
#> 30 0.41670644 under TRUE
#> 31 0.70591063 under TRUE
#> 32 0.20982369 under TRUE
#> 33 0.54208604 under TRUE
#> 34 0.38429314 under TRUE
#> 35 0.38851772 under TRUE
#> 36 1.22594512 over TRUE
#> 37 1.78394599 over TRUE
#> 38 1.27069950 over TRUE
#> 39 0.66419816 under TRUE
#> 40 2.44790888 over TRUE
#> 41 0.44265593 under TRUE
#> 42 0.41001092 under TRUE
#> 43 0.66947036 under TRUE
#> 44 1.58504681 over TRUE
#> 45 0.70779221 under TRUE
#> 46 0.83561414 under TRUE
#> 47 1.35240851 over TRUE
#> 48 0.64985858 under TRUE
#> 49 0.68694474 under TRUE
#> 50 1.79426330 over TRUE
#> 51 0.46310463 under TRUE
#> 52 0.75488599 under TRUE
#> 53 0.37725121 under TRUE
#> 54 1.57031680 over TRUE
#> 55 0.25512080 under TRUE
#> 56 0.06458071 under TRUE
#> 57 0.57937372 under TRUE
#> 58 1.62630962 over TRUE
#> 59 0.04783892 under TRUE
#> 60 0.40988091 under TRUE
#> 61 0.88601869 under TRUE
#> 62 1.53760194 over TRUE
#> 63 0.30880127 under TRUE
#> 64 0.00000000 under TRUE
#> 65 0.13098884 under TRUE
#> 66 0.28064603 under TRUE
#> 67 0.69500552 under TRUE
#> 68 5.21676075 over TRUE
#> 69 0.10434783 under TRUE
#> 70 0.59392882 under TRUE
#> 71 0.06611139 under TRUE
#> 72 0.00000000 under TRUE