\f$FL2@(#) SPSS DATA FILE MS WINDOWS Release 9.0 ################2#########Y@10 Mar 9910:13:21 ###########################PUBLICAT&###Number of publications in last 2 years ########################GRANTS /###Grant funding (in $10000) over the last 5 years ########################TEACHING)###Mean teaching rating for last 3 semesters ########################COMMITT 2###Number of committees served on during last 5 years ########################TYPE ####Type of professor #################Research Scientist ######?#Teaching Mogul ############################ ############################################## ########### ########################################################################eddgd ####?##@333;##@gehgeg###8Z#@`#@gegd###`3<#@333d#@#### @fff[F#@dgddf###P#?###L @###p{z#@gdhke###yo#@###ye#@333y+#@fgeg###h#@### ##@###pq:#@333y @gefgdf###F<#@####@eegk###@ {#@333##@###h#@333c@ehdeg####?##`H# @#####@edgdd333k @###^?###;##@fddh###z?####@###-j##@###Hlv#@jdgjdf###9 @333#@hdig###`% @# @####t?fff#v#@egddh###`#@t#@###8s#@kehgdfffO#@#####@### C#@hgeg####Z#@333S,#@####@l:#@kdhgeh###F#@333G @edhj###d#@##@###D#@fffP{#@egdeefq#@###H##@gdike###B#? ####@###A7 #@hdeg###0?333 @###@z'#@fff>iY#@gehddeg I@gehdd###a#@fff.+ @###Xd#@dgjdg####:#@QF#@####!@kegdd333?W @###`#@333##@gheh###@#@#####@###4##@#####`#@hdhgeg#### @333Krq @hdhg###, #@###(f#@###P##@33s[#@dggdf####R? <##@####~#@jdfge=##@### x#@333#S @ggdh###f0#@###xE##@###<=##@fffH##@hegdh $FL2@(#) IBM SPSS STATISTICS MS Windows 21.0.0.0 ################d#########Y@05 Mar 1322:13:47 ###########################CATEGORY####Types of Successful Coaches ########################ALUMNI ####Support of alumni over last 5 years ########################RANKED 6###Number of ranked high school players over last 5 years ########################COPING ####Problem-focused coping ########################LIKE )###Likeability of coach as viewed by players ########################SOCSUPP ####Social support by coach ########################PERSIST ####Coach's persistance ########################DISCIPLN-###Authoritative (high) vs. Authoritarian (low) ##############?"character building and not winning #######@"not character building and winning #######@%character builder and winning coaches ######################################################################### ####################################################### ############################################################# #######w###CATEGORY=category ALUMNI=alumni RANKED=ranked COPING=coping LIKE=like SOCSUPP=socsupp PERSIST=persist DISCIPLN=discipln########################d######################category: $@Role('0' )/alumni:$@Role('0' )/ranked:$@Role('0' )/coping:$@Role('0' )/like:$@Role('0' )/socsupp:$@Role('0' )/persist:$@Role('0' )/discipln:$@Role('0' )################UTF-8############(##########edlgno#Gz#K@fe foqo#QP@gfgmjs{#GS@fdfknledgnmp#GzD@feelno p=P@geflpn#Gz#K@edefnm#GzG@edemlk#####0Q@eefpol#####@O@eeemmj Q#ES@gfhljt(\\ES@fiflpqHz##S@edfjopQ#%P@edglmqQ# %P@eefimp##### L@edekkl#Gz4N@gegmpqQ#T@eefmloQ#ES@fffkirHz#U@eefnnp p=P@gdfknnQ#ES@edginn p=F@gegmpp p=P@edfmmo(\\UP@edgkqt#Gz#K@fefjol p=:R@gegnopHz#U@fefjnoghhoooHz#U@gegqqq#####PT@gefkpo#QP@f egnnqHz#T@effhnl#Q8F@gdffnkQ# %P@eefllo#####0Q@gegmqpgegonq#####0Q@eefijn#Gz#K@gdfmpm(\\#S@eefn ooHz#P@geeknrq= 0 S@fefomoHz#T@fefnop#####U@edejlm#Gz#K@fefoqpq= S@gekjot##### L@fefgmr#####`M@gdjoqqQ#T@eeggptHz#U@fgglnpz#GU@geklnq p=P@eefkpl p=P@edgompHz#GT@fdgnmp#####PT@fegmoq p=S@fihiqt#####@O@gejnnm(\\P@gfgmorHz#7S@edfmnl#####B@edfjnm## ###0Q@gjiinq#Gz4N@eefjml(\\#U@fegkno p=ZU@fefnok#QR@gfgqqp\\(LR@edglnp#####PT@edgmqt#####0Q@gefmks (\\#O@geflnoQ#%P@feiopo\\(T@eefnon p=ZU@eefkno#Gz#K@gegoprHz#U@fegoor#####U@fefnpoR@fjglop( \\ES@eefinj#####@O@fegnnp#Q#S@gegnps#Gz4N@gelmqsp= #S@fegoqpHz#wR@fkfpoo)S@edfkloR@feekol#QP@geggqoHz# #S@fdenmp#####0Q@gdgnnp#QS@feflpm#####@O@edeknk#Gz4N@edfkmn#### # L@gkglnq#####@O@eeeilm p=*M@fjfjon#Gz#K@fifmolQ#U@gefqnp#Q#U@giflqq(\\ES@gegoqs## ###0Q@edgnnqHz##P@fghkqq##### L@ Discriminant Analysis in SPSS (exercise 2) 1. Analyse -> Classify -> Discriminant 2. Click types of successful coaches to move it into the grouping variable box. Click define range and type 1 for minimum and 3 for maximum, then click continue. 3. Click the other variables to move them to the independents box 4. Click statistics and check Means, Univariate ANOVAs, and Box's M in the Descriptives box. Click continue. 5. Click classify. 6. Click Compute from group sizes in the Prior Probabilities box. 7. Click Combined-groups and Separate-groups in the Plots box. 8. Click Within-groups in the Use Covariance Matrix box. However, the option Separate-groups should be chosen if you cannot assume that the covariance matrices for all groups are equal (=when the Box's M sig<0.001) 9. Click Summary table and Leave-one-out classification in the Display box. 10. Click Continue. Discriminant Analysis in SPSS (exercise 2) 1. Analyse -> Classify -> Discriminant 2. Click types of successful coaches to move it into the grouping variable box. Click define range and type 1 for minimum and 3 for maximum, then click continue. 3. Click the other variables to move them to the independents box 4. Click statistics and check Means, Univariate ANOVAs, and Box's M in the Descriptives box. Click continue. 5. Click classify. 6. Click Compute from group sizes in the Prior Probabilities box. 7. Click Combined-groups and Separate-groups in the Plots box. 8. Click Within-groups in the Use Covariance Matrix box. However, the option Separate-groups should be chosen if you cannot assume that the covariance matrices for all groups are equal (=when the Box's M sig<0.001) 9. Click Summary table and Leave-one-out classification in the Display box. 10. Click Continue