lOMoAR cPSD| 12094005
Midterm code for ANLY 500
Analytics I: Principles And Applications (Harrisburg University of Science and
Technology)
ST
O
IC
, lOMoAR cPSD| 12094005
Midterm Code Section
2021-10-27
Instructions
You will need to complete the portion of the exam before starting the second portion. You will
use your answers on this exam to complete the second half. Only knitted files will be graded!
Make sure your complete this portion of the exam on your own. Use your notes and class
examples to get started with the code.
Abstract
Eventual memory performance is predicted more accurately when a person’s judgment of
learning (JOL) is delayed until shortly after studying an item than when made immediately
ST
after studying the item. According to the transfer-appropriate-monitoring hypothesis, this
delayed- JOL effect arises because of the contextual similarity between the cue for the JOL and
the cue for the memory test. In a paired-associate learning experiment, delayed JOLs were
cued by the stimulus alone or by the stimulus-response pair, and the eventual test was
associative recognition of stimulus-response pairs. Recognition of stimulus-response pairs was
O
predicted more accurately when JOLs had been cued by the stimulus alone than when they had
been cued by the stimulus-response pair, even though the latter was more similar than the
former to the cue for the recognition test. Implications of these results, especially the lack of
support for the class of theories emphasizing transfer-appropriate monitoring, are discussed
IC
for theories of the accuracy of JOLs.
Method
In these experiments, participants are given English word pairs to learn (i.e. dog-table). They
are asked after each word pair: “how confident are you that in about ten minutes from now
you will be able to recognize the second of the item when prompted with the first? (0 =
definitely won’t recognize, 20 = 20% sure, 40 …, 60 …, 80 …, 100 = definitely will recognize).
These ratings (JOLs) were given either right after the word pair was presented or after the
entire block of word pairs were presented. These ratings were prompted with either just the
cue word (i.e. dog, the first word of each pair) or both the words (stimulus-response pairing).
After all word-pairs were studied, a 10-minute break was given. Participants were then
measured by marking which word-pairings they recognized (0 = not studied, 20 = 20 % sure
studied, 40 …, 60 …, 80 …, 100 = definitely studied). You can assume the ratings are
continuous.
, lOMoAR cPSD| 12094005
Dataset:
• JOL group: if they rated their confidence immediately or at the end of each block for
how well they would remember the word-pairs.
• Type cue: what type of cue they were using to rate their confidence, either the word-
pair or the cue word only.
• Confidence: their average rated confidence to remember word pairs across trial blocks.
• Recognition: their average memory for words across trial blocks.
In this section, the data will be loaded for you from the package. You will change the id =
123456 to your HU id number. This number will generate your data for you in the same time
each way, so if you rerun this analysis, you will get the same numbers each time.
library(learnSTATS)
midterm <- midterm_data(idnum = 292662) #CHANGE ME
head(midterm)
## JOL_group type_cue conf1 conf2 conf3 conf4 conf5 conf6
## 1 delayed cue only 49.82528 55.77748 33.32071 45.87016 53.85280 42.80544
## 2 delayed <NA> 50.21607 52.51823 47.23835 50.03150 42.15806 46.73085
ST
## 3 delayed cue only 47.77454 55.19132 64.53437 40.29986 NA 58.42918
## 4 delayed cue only 65.31113 26.33539 50.01328 56.63855 35.37859 62.19804
## 5 delayed cue only 37.87332 54.34581 59.65100 44.50352 48.88627 49.84646
## 6 delayed cue only 33.64565 54.04298 31.15984 45.23801 43.48290 60.17274
## conf7 conf8 conf9 conf10 rec1 rec2 rec3 rec4
## 1 59.93097 50.20097 42.64966 45.70467 60.62845 51.50508 62.21187 66.61343
O
## 2 59.48121 50.27690 54.58462 30.70219 58.13291 59.08318 55.47537 59.02398
## 3 56.16891 58.33601 47.73787 71.85059 70.78155 65.71912 51.55464 53.11435
## 4 75.20779 44.22782 37.38672 50.12535 51.20309 70.67074 54.01762 57.32828
IC
## 5 50.23901 43.39254 57.44830 54.07780 60.74322 47.38844 62.25451 57.29582
## 6 21.34325 36.90922 45.97758 45.50778 55.85277 55.51702 63.93202 55.86428
## rec5 rec6 rec7 rec8 rec9 rec10
## 1 62.76905 66.36263 69.08145 60.58721 57.17794 60.70519
## 2 58.70590 50.25998 56.36151 63.98788 58.58608 53.57662
## 3 64.56306 70.93656 65.81475 63.58475 46.57802 62.80933
## 4 52.74698 77.81356 58.69742 70.60110 64.39284 66.84562
## 5 60.48079 60.01285 51.38817 60.46301 64.25655 55.51252
## 6 56.82380 21.95537 52.44877 58.64533 57.14943 52.93249
Data screening:
Accuracy:
• Include output and indicate how the data are not accurate.
• Include output to show how you fixed the accuracy errors, and describe what you did.
#names(midterm)
#summary(midterm)
table(midterm$JOL_group)
, lOMoAR cPSD| 12094005
##
## delayed immediate
## 116 116
table(midterm$type_cue)
##
## cue only stimulus pairs
## 113 113
table(midterm$rec1)
##
## 48.7424130467696 49.1202282040834 49.6846049469358 49.9158679492928
## 1 1 1 1
## 51.0160395253794 51.2030887630047 51.4263341904019 51.4799901485699
## 1 1 1 1
## 51.7646691544353 52.0921507589377 52.1292470743079 52.3441348046315
## 1 1 1 1
## 52.4172740049588 52.5356582630157 52.7742658087615 53.0106907685203
## 1 1 1 1
ST
## 53.0952732930744 53.1988928710895 53.2447120744836 53.2614720295747
## 1 1 1 1
## 53.35912682854 53.3851997104695 53.4050969996494 53.4062068363939
## 1 1 1 1
## 53.440755732149 53.4609903085673 53.4939095906531 53.9047601335752
## 1 1 1 1
O
## 54.0192171693403 54.079567240335 54.2100832719608 54.4063835605054
## 1 1 1 1
## 54.4421926244843 54.5737279206675 54.7899045262221 54.8864054000278
IC
## 1 1 1 1
## 55.0773577575583 55.2543778152589 55.4237510333939 55.4309436341813
## 1 1 1 1
## 55.4464009705048 55.5380401823692 55.5558785111225 55.7246158245486
## 1 1 1 1
## 55.741758127905 55.7560895256808 55.8527660387045 56.0079932617853
## 1 1 1 1
## 56.0887154616752 56.10765110139 56.2336550692018 56.4744976289943
## 1 1 1 1
## 56.5525372955185 56.5547053792897 56.5733540888544 56.6933116849643
## 1 1 1 1
## 56.7947346151908 56.9559194495543 56.9823639915479 57.0730642045009
## 1 1 1 1
## 57.3321871554551 57.4844244400646 57.5239466493531 57.5403233086124
## 1 1 1 1
## 57.5589648169385 57.5662769079431 57.5867833759215 57.6438463643782
## 1 1 1 1
## 57.6725302197767 57.7580146243591 57.7888409255243 57.8995195482604
## 1 1 1 1
## 57.9334769043952 57.9536615821687 57.9538138400119 58.0427731716261
## 1 1 1 1
Midterm code for ANLY 500
Analytics I: Principles And Applications (Harrisburg University of Science and
Technology)
ST
O
IC
, lOMoAR cPSD| 12094005
Midterm Code Section
2021-10-27
Instructions
You will need to complete the portion of the exam before starting the second portion. You will
use your answers on this exam to complete the second half. Only knitted files will be graded!
Make sure your complete this portion of the exam on your own. Use your notes and class
examples to get started with the code.
Abstract
Eventual memory performance is predicted more accurately when a person’s judgment of
learning (JOL) is delayed until shortly after studying an item than when made immediately
ST
after studying the item. According to the transfer-appropriate-monitoring hypothesis, this
delayed- JOL effect arises because of the contextual similarity between the cue for the JOL and
the cue for the memory test. In a paired-associate learning experiment, delayed JOLs were
cued by the stimulus alone or by the stimulus-response pair, and the eventual test was
associative recognition of stimulus-response pairs. Recognition of stimulus-response pairs was
O
predicted more accurately when JOLs had been cued by the stimulus alone than when they had
been cued by the stimulus-response pair, even though the latter was more similar than the
former to the cue for the recognition test. Implications of these results, especially the lack of
support for the class of theories emphasizing transfer-appropriate monitoring, are discussed
IC
for theories of the accuracy of JOLs.
Method
In these experiments, participants are given English word pairs to learn (i.e. dog-table). They
are asked after each word pair: “how confident are you that in about ten minutes from now
you will be able to recognize the second of the item when prompted with the first? (0 =
definitely won’t recognize, 20 = 20% sure, 40 …, 60 …, 80 …, 100 = definitely will recognize).
These ratings (JOLs) were given either right after the word pair was presented or after the
entire block of word pairs were presented. These ratings were prompted with either just the
cue word (i.e. dog, the first word of each pair) or both the words (stimulus-response pairing).
After all word-pairs were studied, a 10-minute break was given. Participants were then
measured by marking which word-pairings they recognized (0 = not studied, 20 = 20 % sure
studied, 40 …, 60 …, 80 …, 100 = definitely studied). You can assume the ratings are
continuous.
, lOMoAR cPSD| 12094005
Dataset:
• JOL group: if they rated their confidence immediately or at the end of each block for
how well they would remember the word-pairs.
• Type cue: what type of cue they were using to rate their confidence, either the word-
pair or the cue word only.
• Confidence: their average rated confidence to remember word pairs across trial blocks.
• Recognition: their average memory for words across trial blocks.
In this section, the data will be loaded for you from the package. You will change the id =
123456 to your HU id number. This number will generate your data for you in the same time
each way, so if you rerun this analysis, you will get the same numbers each time.
library(learnSTATS)
midterm <- midterm_data(idnum = 292662) #CHANGE ME
head(midterm)
## JOL_group type_cue conf1 conf2 conf3 conf4 conf5 conf6
## 1 delayed cue only 49.82528 55.77748 33.32071 45.87016 53.85280 42.80544
## 2 delayed <NA> 50.21607 52.51823 47.23835 50.03150 42.15806 46.73085
ST
## 3 delayed cue only 47.77454 55.19132 64.53437 40.29986 NA 58.42918
## 4 delayed cue only 65.31113 26.33539 50.01328 56.63855 35.37859 62.19804
## 5 delayed cue only 37.87332 54.34581 59.65100 44.50352 48.88627 49.84646
## 6 delayed cue only 33.64565 54.04298 31.15984 45.23801 43.48290 60.17274
## conf7 conf8 conf9 conf10 rec1 rec2 rec3 rec4
## 1 59.93097 50.20097 42.64966 45.70467 60.62845 51.50508 62.21187 66.61343
O
## 2 59.48121 50.27690 54.58462 30.70219 58.13291 59.08318 55.47537 59.02398
## 3 56.16891 58.33601 47.73787 71.85059 70.78155 65.71912 51.55464 53.11435
## 4 75.20779 44.22782 37.38672 50.12535 51.20309 70.67074 54.01762 57.32828
IC
## 5 50.23901 43.39254 57.44830 54.07780 60.74322 47.38844 62.25451 57.29582
## 6 21.34325 36.90922 45.97758 45.50778 55.85277 55.51702 63.93202 55.86428
## rec5 rec6 rec7 rec8 rec9 rec10
## 1 62.76905 66.36263 69.08145 60.58721 57.17794 60.70519
## 2 58.70590 50.25998 56.36151 63.98788 58.58608 53.57662
## 3 64.56306 70.93656 65.81475 63.58475 46.57802 62.80933
## 4 52.74698 77.81356 58.69742 70.60110 64.39284 66.84562
## 5 60.48079 60.01285 51.38817 60.46301 64.25655 55.51252
## 6 56.82380 21.95537 52.44877 58.64533 57.14943 52.93249
Data screening:
Accuracy:
• Include output and indicate how the data are not accurate.
• Include output to show how you fixed the accuracy errors, and describe what you did.
#names(midterm)
#summary(midterm)
table(midterm$JOL_group)
, lOMoAR cPSD| 12094005
##
## delayed immediate
## 116 116
table(midterm$type_cue)
##
## cue only stimulus pairs
## 113 113
table(midterm$rec1)
##
## 48.7424130467696 49.1202282040834 49.6846049469358 49.9158679492928
## 1 1 1 1
## 51.0160395253794 51.2030887630047 51.4263341904019 51.4799901485699
## 1 1 1 1
## 51.7646691544353 52.0921507589377 52.1292470743079 52.3441348046315
## 1 1 1 1
## 52.4172740049588 52.5356582630157 52.7742658087615 53.0106907685203
## 1 1 1 1
ST
## 53.0952732930744 53.1988928710895 53.2447120744836 53.2614720295747
## 1 1 1 1
## 53.35912682854 53.3851997104695 53.4050969996494 53.4062068363939
## 1 1 1 1
## 53.440755732149 53.4609903085673 53.4939095906531 53.9047601335752
## 1 1 1 1
O
## 54.0192171693403 54.079567240335 54.2100832719608 54.4063835605054
## 1 1 1 1
## 54.4421926244843 54.5737279206675 54.7899045262221 54.8864054000278
IC
## 1 1 1 1
## 55.0773577575583 55.2543778152589 55.4237510333939 55.4309436341813
## 1 1 1 1
## 55.4464009705048 55.5380401823692 55.5558785111225 55.7246158245486
## 1 1 1 1
## 55.741758127905 55.7560895256808 55.8527660387045 56.0079932617853
## 1 1 1 1
## 56.0887154616752 56.10765110139 56.2336550692018 56.4744976289943
## 1 1 1 1
## 56.5525372955185 56.5547053792897 56.5733540888544 56.6933116849643
## 1 1 1 1
## 56.7947346151908 56.9559194495543 56.9823639915479 57.0730642045009
## 1 1 1 1
## 57.3321871554551 57.4844244400646 57.5239466493531 57.5403233086124
## 1 1 1 1
## 57.5589648169385 57.5662769079431 57.5867833759215 57.6438463643782
## 1 1 1 1
## 57.6725302197767 57.7580146243591 57.7888409255243 57.8995195482604
## 1 1 1 1
## 57.9334769043952 57.9536615821687 57.9538138400119 58.0427731716261
## 1 1 1 1
