J Am Med Inform Assoc - The effect of word familiarity on actual and perceived text difficulty.

Tópicos

{ extract(1171) text(1153) clinic(932) }
{ studi(1119) effect(1106) posit(819) }
{ survey(1388) particip(1329) question(1065) }
{ method(984) reconstruct(947) comput(926) }
{ use(2086) technolog(871) perceiv(783) }
{ patient(2315) diseas(1263) diabet(1191) }
{ assess(1506) score(1403) qualiti(1306) }
{ can(774) often(719) complex(702) }
{ studi(2440) review(1878) systemat(933) }
{ error(1145) method(1030) estim(1020) }
{ howev(809) still(633) remain(590) }
{ cost(1906) reduc(1198) effect(832) }
{ drug(1928) target(777) effect(648) }
{ concept(1167) ontolog(924) domain(897) }
{ clinic(1479) use(1117) guidelin(835) }
{ design(1359) user(1324) use(1319) }
{ care(1570) inform(1187) nurs(1089) }
{ monitor(1329) mobil(1314) devic(1160) }
{ data(2317) use(1299) case(1017) }
{ signal(2180) analysi(812) frequenc(800) }
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{ patient(1821) servic(1111) care(1106) }
{ health(1844) social(1437) communiti(874) }
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{ visual(1396) interact(850) tool(830) }
{ compound(1573) activ(1297) structur(1058) }
{ perform(1367) use(1326) method(1137) }
{ blood(1257) pressur(1144) flow(957) }
{ spatial(1525) area(1432) region(1030) }
{ record(1888) medic(1808) patient(1693) }
{ health(3367) inform(1360) care(1135) }
{ model(3480) simul(1196) paramet(876) }
{ ehr(2073) health(1662) electron(1139) }
{ state(1844) use(1261) util(961) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ model(2656) set(1616) predict(1553) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
{ gene(2352) biolog(1181) express(1162) }
{ data(3008) multipl(1320) sourc(1022) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
{ can(981) present(881) function(850) }
{ analysi(2126) use(1163) compon(1037) }
{ structur(1116) can(940) graph(676) }
{ high(1669) rate(1365) level(1280) }
{ cancer(2502) breast(956) screen(824) }
{ use(976) code(926) identifi(902) }
{ use(1733) differ(960) four(931) }
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{ implement(1333) system(1263) develop(1122) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }
{ activ(1452) weight(1219) physic(1104) }
{ method(1969) cluster(1462) data(1082) }
{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

There is little evidence that readability formula outcomes relate to text understanding. The potential cause may lie in their strong reliance on word and sentence length. We evaluated word familiarity rather than word length as a stand-in for word difficulty. Word familiarity represents how well known a word is, and is estimated using word frequency in a large text corpus, in this work the Google web corpus. We conducted a study with 239 people, who provided 50 evaluations for each of 275 words. Our study is the first study to focus on actual difficulty, measured with a multiple-choice task, in addition to perceived difficulty, measured with a Likert scale. Actual difficulty was correlated with word familiarity (r=0.219, p<0.001) but not with word length (r=-0.075, p=0.107). Perceived difficulty was correlated with both word familiarity (r=-0.397, p<0.001) and word length (r=0.254, p<0.001).

Resumo Limpo

littl evid readabl formula outcom relat text understand potenti caus may lie strong relianc word sentenc length evalu word familiar rather word length standin word difficulti word familiar repres well known word estim use word frequenc larg text corpus work googl web corpus conduct studi peopl provid evalu word studi first studi focus actual difficulti measur multiplechoic task addit perceiv difficulti measur likert scale actual difficulti correl word familiar r p word length r p perceiv difficulti correl word familiar r p word length r p

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