Personas_Performance: Appendix | Data | Script

1 Appendix Results 1.1 Descriptive Statistics Table 1: WhatsApp Teams Level Descriptive Statistics Mean Median Min Max Std T1 pBee 0.301 0.336 0.179 0.396 0.085 pAnt 0.537 0.551 0.465 0.617 0.057 pLeech 0.160 0.162 0.105 0.203 0.040 T2 pBee 0.241 0.234 0.003 0.535 0.223 pAnt 0.613 0.469 0.427 0.987 0.240 pLeech 0.145 0.159 0.009 0.295 0.122 T3 pBee 0.241 0.317 0.004 0.340 0.137 pAnt 0.520 0.522 0.277 0.746 0.178 pLeech 0.237 0.260 0.000 0.408 0.157 T4 pBee 0.242 0.280 0.100 0.307 0.095 pAnt 0.666 0.608 0.549 0.898 0.157 pLeech 0.091 0.111 0.000 0.142 0.062 T5 pBee 0.387 0.431 0.076 0.650 0.227 pAnt 0.425 0.406 0.221 0.620 0.148 pLeech 0.186 0.187 0.064 0.302 0.094 T6 pBee 0.342 0.341 0.176 0.494 0.127 pAnt 0.523 0.563 0.360 0.570 0.091 pLeech 0.134 0.145 0.000 0.267 0.098 T7 pBee 0.354 0.340 0.273 0.461 0.087 pAnt 0.446 0.414 0.306 0.650 0.165 pLeech 0.199 0.214 0.076 0.292 0.091 T8 pBee 0.172 0.159 0.023 0.363 0.135 pAnt 0.697 0.639 0.517 0.933 0.154 pLeech 0.129 0.165 6.69599e-06 0.225 0.093 T9 pBee 0.321 0.313 0.274 0.382 0.053 pAnt 0.541 0.531 0.408 0.692 0.123 pLeech 0.137 0.154 0.032 0.209 0.075 T10 pBee 0.242 0.249 0.209 0.284 0.031 pAnt 0.590 0.589 0.545 0.641 0.034 pLeech 0.166 0.161 0.145 0.206 0.024 T11 pBee 0.277 0.216 0.110 0.607 0.193 pAnt 0.557 0.562 0.386 0.712 0.134 pLeech 0.165 0.171 0.005 0.294 0.110 T12 pBee 0.346 0.364 0.246 0.393 0.055 pAnt 0.311 0.323 0.251 0.348 0.041 pLeech 0.342 0.347 0.262 0.406 0.047 1 Table 2: MSTeams Teams Level Descriptive Statistics Mean Median Min Max Std T1 pBee 0.430 0.468 0.298 0.505 0.088 pAnt 0.375 0.389 0.200 0.500 0.109 pLeech 0.193 0.201 0.105 0.331 0.088 T2 pBee 0.424 0.410 0.363 0.493 0.048 pAnt 0.445 0.448 0.396 0.497 0.038 pLeech 0.129 0.129 0.109 0.140 0.012 T3 pBee 0.345 0.336 0.283 0.427 0.056 pAnt 0.485 0.474 0.427 0.596 0.058 pLeech 0.168 0.156 0.082 0.275 0.080 T4 pBee 0.408 0.390 0.334 0.518 0.088 pAnt 0.419 0.423 0.344 0.486 0.064 pLeech 0.172 0.157 0.103 0.268 0.071 T5 pBee 0.425 0.440 0.263 0.537 0.108 pAnt 0.344 0.350 0.244 0.431 0.066 pLeech 0.229 0.218 0.146 0.304 0.058 T6 pBee 0.420 0.432 0.176 0.725 0.208 pAnt 0.472 0.467 0.263 0.646 0.152 pLeech 0.106 0.121 0.011 0.177 0.060 T7 pBee 0.342 0.344 0.276 0.404 0.053 pAnt 0.467 0.470 0.455 0.472 0.008 pLeech 0.190 0.184 0.140 0.250 0.046 T8 pBee 0.435 0.434 0.217 0.654 0.153 pAnt 0.395 0.380 0.220 0.541 0.131 pLeech 0.168 0.143 0.124 0.242 0.054 T9 pBee 0.435 0.453 0.334 0.499 0.070 pAnt 0.338 0.327 0.265 0.435 0.074 pLeech 0.225 0.232 0.199 0.239 0.017 T10 pBee 0.425 0.408 0.314 0.568 0.105 pAnt 0.453 0.487 0.331 0.508 0.083 pLeech 0.121 0.098 0.069 0.218 0.066 T11 pBee 0.398 0.419 0.227 0.569 0.123 pAnt 0.448 0.501 0.162 0.642 0.167 pLeech 0.153 0.152 0.065 0.267 0.074 T12 pBee 0.452 0.448 0.381 0.507 0.047 pAnt 0.207 0.213 0.150 0.243 0.032 pLeech 0.340 0.341 0.285 0.374 0.030 2 1.2 Hypothesis Testing Table 3: Team Performance and Persona 2 N Persona Correlation WhatsApp 12 mean pBee r= -0.001 p-value = 0.996 12 median pBee r= -0.193 p-value = 0.546 12 mean pAnt r= 0.061 p-value = 0.848 12 median pAnt r= 0.017 p-value = 0.957 12 mean pLeech ρ= -0.007 p-val= 0.982 12 median pLeech ρ= 0.156 p-value = 0.628 MSTeams 12 mean pBee ρ= -0.581 p-value = 0.047 12 median pBee r= -0.249 p-value = 0.434 12 mean pAnt ρ= 0.510 p-value = 0.089 12 median pAnt r= 0.445 p-value = 0.146 12 mean pLeech r= -0.344 p-value = 0.273 12 median pLeech r= -0.254 p-value = 0.425 3 2 Appendix: related to Discussion The figures are followed by their English translation by one of the authors, a native Spanish speaker. Figure 1: WhatsApp word cloud WhatsApp word cloud translation; poco: not much, little, short; creo: I think; genial: great!; hablandonoslas: talking; quiere: she/he wants; verdad: true! or truth; tengo: I have; eso: that; voy I’m going to [ in the whatsapp context], or ”(I’m) coming/going”; proceso: process; vamos: let’s go; demora: delay; llego, probably I will be late or I will not be late, depending on the context; hay; there are; estoy: I’m; hago: I make (do); estar: be; alguien: somebody; igual: same; todo: all; proceso: process; haciendo: makingcalidad: quality; aunque: though; partir: break (maybe leave); perfecto: great!; empezar: start 4 Figure 2: MSTeams word cloud MSTeams word cloud translation: ”queue”: what or that; pero: but; cliente: client, customer; mismo: same; departamento: department; todos: all; mejor: better / best; tener: have; empresa: company; poner: put; tal: such; nos: to us; c´omo: how (”como” should be the same in the project context); puesto: position in the project context; otro: other; esa: that one; luego: later; vamos: we go to; have: he makes; or from for time period); hemos: we have; era: was; esto: this; con: with; ver: see; bien: well or either; ahora: now; nada: nothing; decir: say; muy: very; nada: nothing; decir: say; puede: may or can; hacer: make or do; pues: then...; entonces: then; muy: very; estoy : I am; pero: but; los: the; qu´e: what; porque: because; aqu´ı: here; tenemos: we have; podemos: we can; ese: that one; hecho: done - made; tambi´en: also; hay: there’s; est´a: it is; para: for; porque: because; aqu´ı: here; tenemos: we have; ejemplo: example; verdad: truth; hehco: done - made; est´a: it is; para: for; claro: ”right” or , ”I see”; vale: OK; una: one or a; voy: I’m going to; vez: time; cuando:when; esta: this one (but it could est´a, it is); dicho: said (probably); jos´e: Joseph; calidad: quality; uno: one; como: such as; por: because or by; m´as: more; as´ı: this way; del: of the; digo: I say; tengo: I have; proceso: process; creo: I think; algo: something; tiene: it has; poco: little; todo: all the...; cada: each; sabes: you know; procesos: processes; igual: same; vale: maybe OK, but also worth while 5