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create_learning2014.R
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Age Age (in years) derived from the date of birth
Gender Male = 1 Female = 2
Years Year_Study Student's year of study (Number)
Courses How many courses are you enrolled in this semester? (Number)
Hours How many hours are you using to study statistic in the week (Number)
Degree Which is the degree (Insert Name) 1=SocSci,2=other
Lar Learning as Reproducing ~Aa+Ac+Ad
Lat Learning as Transforming ~Ab+Ae+Af
d_sm Seeking Meaning ~D03+D11+D19+D27
d_ri Relating Ideas ~D07+D14+D22+D30
d_ue Use of Evidence ~D06+D15+D23+D31
su_lp Lack of Purpose ~SU02+SU10+SU18+SU26
su_um Unrelated Memorising ~SU05+SU13+SU21+SU29
su_sb Syllabus-boundness ~SU08+SU16+SU24+SU32
st_os Organized Studying ~ST01+ST09+ST17+ST25
st_tm Time Management ~ST04+ST12+ST20+ST28
Deep Deep approach ~d_sm+d_ri+d_ue
Surf Surface approach ~su_lp+su_um+su_sb
Stra Strategic approach ~st_os+st_tm
Deep_adj Deep_adjusted ~Deep/12
Surf_adj Surface_adjusted ~Surf/12
Stra_adj Strategic_adjusted ~Stra/8
Su_Ti Transmitting information (related to Surf) ~Ca+Cd+Ce+Ch
D_Su Supporting understanding (related to Deep) ~Cb+Cc+Cf+Cg
StatConf Confidence in doing statistics ~Da+Df
Value Value of statistics ~Db+Dj
Interest Interest in statistics ~Dc+De
MathConf Confidence in doing math ~Dd+Di
Affect Affect toward statistics ~Dg+Dh
Attitude Global attitude toward statistics ~Da+Db+Dc+Dd+De+Df+Dg+Dh+Di+Dj
FSVdeep Factor score (Varimax rotation) Deep
FSVstra Factor score (Varimax rotation) Strategic
FSVsurf Factor score (Varimax rotation) Surface
FSOdeep Factor score (Oblimin rotation) Deep
FSOstra Factor score (Oblimin rotation) Strategic
FSOsurf Factor score (Oblimin rotation) Surface
Points Yhteispisteet (max kaikista)
Fails Hylkyjen lkm ennen läpäisyä (toimii paremmin Italian datassa!)
Mittareiden taustaa:
Mittarit A ja C vastaavat osia A ja C ASSIST-lomakkeessa
(Approaches and Study Skills Inventory for Students)
http://www.etl.tla.ed.ac.uk/publications.html#measurement
ja D:n pohjana on SATS (Survey of Attitudes Toward Statistics)
http://www.evaluationandstatistics.com/
Tutkimuksessa keskeisimmällä sijalla olleen mittarin (ASSIST B)
osiot on nimetty siten, että niistä pystyy näkemään yhteyden
ajateltuun ulottuvuuteen (Deep/SUrface/STrategic). ASSIST:in
alkuperäisen mittarin (52 osiota) sijaan tutkimuksessa käytettiin
ryhmän aiemmin lyhentämää versiota, johon kuului vain 32 osiota.
Mittarien A,C,D suomennokset: Kimmo Vehkalahti ja Liisa Myyry.
Mittarin B suomennos (alun perin): Miia Erkkilä (2008), ks.
http://lib.tkk.fi/Raportit/2009/isbn9789512297719.pdf
(pieniä säätöjä sanamuotoihin / KV & LM & Reijo Sund 2014).
Taustoista osa on muiden maiden kanssa yhteisiä, osa omia.
JYTOPKYS2-data.txt sisältää kaikkien 183 vastaajan tiedot.
Opiskelijanumero on korvattu anonyymilla tunnisteella (Id).
Puuttuvat tiedot on merkitty koodilla "NA" (Not Applicable).
Aineisto tulee vapaaseen opetuskäyttöön syksyn 2016 kurssilla
sekä uudella, 1/2017 alkavalla englanninkielisellä kurssilla
Introduction to Open Data Science.
Alustavia tuloksia (esitetty 60. ISI-kokouksessa Riossa 7/2015):
http://www.slideshare.net/kimmovehkalahti/the-relationship-between-learning-approaches-and-students-achievements-in-an-introductory-statistics-course-in-finland
--------------------------------------------------------------
Summamuuttujien muodostamissäännöt (A, B, C, D) ym. ohjeita
in English (see the web links above for more information):
(VAR expressions are related to Survo R, which was used for
computations, calculations, analyses, and visualizations.)
*/ACTIVATE + / (in Survo, all other lines are just comments)
*
+VAR Lar:1=Aa+Ac+Ad TO ASSIST2015FI
+VAR Lat:1=Ab+Ae+Af
*
*Lar Aa + Ac + Ad
*Learning as Reproducing
*Lat Ab + Ae + Af
*Learning as Transforming
*
+VAR d_sm:1=D03+D11+D19+D27
+VAR d_ri:1=D07+D14+D22+D30
+VAR d_ue:1=D06+D15+D23+D31
+VAR su_lp:1=SU02+SU10+SU18+SU26
+VAR su_um:1=SU05+SU13+SU21+SU29
+VAR su_sb:1=SU08+SU16+SU24+SU32
+VAR st_os:1=ST01+ST09+ST17+ST25
+VAR st_tm:1=ST04+ST12+ST20+ST28
+VAR Deep:1=d_sm+d_ri+d_ue
+VAR Surf:1=su_lp+su_um+su_sb
+VAR Stra:1=st_os+st_tm
+VAR Deep_adj:4=Deep/12
+VAR Surf_adj:4=Surf/12
+VAR Stra_adj:4=Stra/8
*
*d_sm D03 + D11 + D19 + D27
*Seeking Meaning
*d_ri D07 + D14 + D22 + D30
*Relating Ideas
*d_ue D06 + D15 + D23 + D31
*Use of Evidence
*su_lp SU02 + SU10 + SU18 + SU26
*Lack of Purpose
*su_um SU05 + SU13 + SU21 + SU29
*Unrelated Memorising
*su_sb SU08 + SU16 + SU24 + SU32
*Syllabus-boundness
*st_os ST01 + ST09 + ST17 + ST25
*Organized Studying
*st_tm ST04 + ST12 + ST20 + ST28
*Time Management
*Deep d_sm + d_ri + d_ue (min = 12, max = 60)
*Deep approach
*Surface su_lp + su_um + su_sb (min =12, max = 60)
*Surface approach
*Strategic st_os + st_tm (min = 8, max = 40)
*Strategic approach
*Deep_adjusted Deep/12 (min = 1, max = 5) - previous Deep score divided by the number of the items of the scale
*Surface_adjusted Surface/12 (min = 1, max = 5) - previous Surface score divided by the number of the items of the scale
*Strategic_adjusted Strategic/8 (min = 1, max = 5) - previous Strategic score divided by the number of the items of the scale
*
+VAR Su_Ti:1=Ca+Cd+Ce+Ch
+VAR D_Su:1=Cb+Cc+Cf+Cg
*
*Su_Ti Ca + Cd + Ce + Ch
*Supporting understanding (related to a deep approach)
*D_Su Cb + Cc + Cf + Cg
*Transmitting information (related to a surface approach)
*
*Obs!! Df and Dh must be reversed first:
*
+VAR Df:1=6-Df
+VAR Dh:1=6-Dh
*
+VAR StatConf:1=Da+Df
+VAR Value:1=Db+Dj
+VAR Interest:1=Dc+De
+VAR MathConf:1=Dd+Di
+VAR Affect:1=Dg+Dh
+VAR Attitude:1=Da+Db+Dc+Dd+De+Df+Dg+Dh+Di+Dj
*
*Stat_Conf Da + Df
*Confidence in doing statistics
*Value Db + Dj
*Value of statistics
*Interest Dc + De
*Interest in statistics
*Math_Conf Dd + Di
*Confidence in doing math
*Affect Dg + Dh
*Affect toward statistics
*Attitude Da + Db + Dc + Dd + De + Df + Dg + Dh + Di + Dj
*Global attitude toward statistics
*
+