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PK{(B$% LWLɼK(B$C|RF I(B$$1YPZ(B$}E qu-LM(B$>QiZ@ORP(B$mFC>ܫ񖹤=FG(B$#7sOSU REPUTATION BY ACADEMIC AREA Physical Sciences/Mathematics?! ?^Astrophysics/Astronomy Chemistry Geosciences Mathematics Physics Statistics/ Biostatistics__ _ ;OSU REPUTATION BY ACADEMIC AREA Social/Behavioral Sciences<! <LAnthropology Economics Geography Political Science Psychology SociologyMM M ?A QUICK REVIEW OF THE NRC SURVEY METHODOLOGY And an Observation@- @aFor each participating academic area, at each participating school, the NRC assembles: Three subjective measures of performance, based on a survey of academics: Faculty quality (93Q), Program quality (93E), and Direction of change over past 5 years (93C) ~Twenty objective characteristics/metrics, self-reported and from 3rd parties, in three categories: Faculty, Graduate programs, and PhD program In each academic area, performance on subjective measures is typically correlated with standing on some or many of the objective characteristics Which characteristics are important varies widely by department6W9W9 b QCHEMISTRY AND PHYSICS Strong Correlation Between 93Q and Many Objective VariablesR< R  ILINGUISTICS AND ANTHROPOLOGY Strong Correlation With Only a Few VariablesJ- J  DEPARTMENT REPUTATION AND PERFORMANCE IS RELATED TO OBJECTIVE CHARACTERISTICS The Challenge is to Identify these CharacteristicsO3 lIn most academic areas, paying attention to the appropriate objective characteristics driving success is strongly rewarded in the rankings of program reputation OSU departments which receive high ratings on the subjective measures generally have strong performance on most or all of the key objective measures, and vice versa  Indeterminables certainly play a role in the reputation of particular academic units Presence of individual  stars Strong institutional reputation Detailed understanding of the field is required to understand where these are importantD0nW0n0n 7 $POLITICAL SCIENCE OSU 17th Out of 98% % PHYSICS OSU 24th Out of 147 ANTHROPOLOGY OSU 66th Out of 69  (AEROSPACE ENGINEERING OSU 24th Out of 33) )rAN EXAMPLE: HOW THE NRC DATA MIGHT BE USED IN CHEMISTRY What Objective Metrics Drive Perceived Performance (93Q)?s9: s"Strong correlation to program size## #hIN CHEMISTRY, PROGRAM QUALITY IS CORRELATED WITH FEDERAL R&D EXPENDITURES Sample of Public UniversitiesiU i:Sources: 1993 NRC Survey; NSF CASPAR Database; RC Analysis;;  ;qFACULTY SIZE APPEARS HIGHLY CORRELATED WITH NRC QUALITY RANKINGS Though in Top Quartile, Correlation DiminishesrC/ r$Source: 1993 NRC Survey; RC Analysis%%  %KAMONG PUBLICS IN TOP QUARTILE, FACULTY SIZE REMAINS CORRELATED WITH QUALITY$L? L QTOP PROGRAMS HAVE >50% OF GRAD STUDENTS EMPLOYED AS RAs Publics in Top QuartileR: R OTOP PROGRAMS HAVE <20% OF GRAD STUDENTS EMPLOYED AS TAs Publics in Top QuartileP8 P LHOW NRC ANALYSIS MIGHT BE APPLIED TO SETTING STRATEGIC PRIORITIES ChemistryMC  M5Based on the NRC data, a key issue for OSU appears to be method of graduate student support - link to research is central To jump to the next level, more grad students need to be supported on RAs Adding TAs appears to be counterproductive For OSU, program size did not appear to represent a gap in 1992 OSU was ranked in the top quartile, and had the program size to be competitive, according to this data Note: faculty shrunk considerably since 1992, and needs to be rebuilt to the earlier level at least Note: all faculty size data is unadjusted for relative teaching and student commitments; this is may change this conclusion considerably Publication statistics, a key driver of performance in Chemistry, are quite strong at OSU; the department needs to focus on sustaining its success in publications and citationsZzuAUzuAU 60 WE HAVE ASSEMBLED THIS DATA FOR ALL DEPARTMENTS 1%This data in included in Appendix XXX&& &?POSSIBLE METRICS FOR ACADEMIC UNIT PERFORMANCE A Starting Point@/ @|Reputation NRC rank Change  82- 93 Rel to OSU field rank USNWR rank OSU perceptions Research grant volume $ and trend in $ $ share and trend in share # and trend in # $ per FTE $ per sq ft   %   S %S D2. COLLEGE/DEPARTMENT-LEVEL BENCHMARKING Summary of RecommendationsE* EW1. Implement strategic performance benchmarking in every academic unit on campus, to whatever extent possible Identify and track appropriate performace metrics locally Start with the NRC data, where available, and build from there Accumulate data over time, and monitor progress systematically 2. Execute benchmarking analysis at the level where strategic planning will happen, and where priorities will be set Departmental benchmarking at the department level College at the college level Institutional level at the institutional level 3. Make benchmarking data and training available as requiredZnu~>nu~> X/ !"#$%&'( ) * + , -./012345678P ` ̙33` ` ff3333f` 333MMM` f` f` 3>?" dd@x?" dd@    @`"  n?" dd@   @@``PP    @ ` ` p@@    W(     `wawa1 ? 0 T Click to edit Master title style! !  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N11/21/97    ( Zwawa1?/ M- 4 -   ( Zwawa1?/ _OSU Research Commission   ( # ldwawa1 ?o  0  ( # lıwawa1 ?1 0 8 a  (a`B ( 01?`B ( 01? e `B  ( 01?e`B  ( 01? e `B  ( 01?e`B  ( 01?a^B ( 61?dD^ ( 61?dP8    (  `B ( 01?  `B ( 01? `B ( 01?  `B ( 01? `B ( 01?  `B ( 01?  8  0  ( 0 `B ( 01?  `B ( 01? , `B ( 01? , `B ( 01? , `B ( 01? , `B ( 01? 0 8  P  $( P `B ( 01?  `B ( 01? L `B  ( 01? L `B !( 01? L `B "( 01? L `B #( 01? P 8 p +(p`B %( 01?@@`B &( 01?  l`B '( 01?l`B (( 01?  l`B )( 01?l`B *( 01?p8  2(`B ,( 01?`B -( 01?  `B .( 01?`B /( 01?  `B 0( 01?`B 1( 01?8  9(`B 3( 01?`B 4( 01?  `B 5( 01?`B 6( 01?  `B 7( 01?`B 8( 01?8 P @(P`B :( 01?  `B ;( 01?  L`B <( 01?L`B =( 01?  L`B >( 01?L`B ?( 01?P8 A G(A`B A( 01?pp`B B( 01? E `B C( 01?E`B D( 01? E `B E( 01?E`B F( 01?A^B H( 61? \, ^B I( 61?$|l^B J( 61?D^B K( 61? DL ^B L( 61?  \ ^ M( 61? 0 ^ N( 61?^ O( 61? p^ P( 61?P ^ Q( 61? P ^ R( 61? P^ S( 61?D ^ T( 61?  ^B U( 61? V( Twawa1?mU3 l 1st Quartile (   W( TDwawa1?l 2 l 2nd Quartile (   X( Twawa1?l%2 l 4th Quartile (   Y( TĴwawa1?m 3 l 3rd Quartile (  8 a   `(a  `B Z( 01?  `B [( 01? e `B \( 01?e  `B ]( 01? e `B ^( 01?e  `B _( 01?a  ^ a( 61?` ^B b( 61?d   c( Zwawa1?# X `Source: NRC, OSU RC analysis   d( Twawa1?mC3 gProgram( XB e( 01?^B f( 61? g( TDwawa1?  -Rank in NRC sample (with confidence interval). . . h( Twawa1?] K# qRank among 20 peers   i( Tdwawa1? pKey:(  d j( <1?T$p k( HA1?mp l( HA1? , \ p m( HA1? <|p n( HA1?< p o( HA1?\ L p p( HA1? | p q( HA1? l < p r( HA1?l p s( HA 1?\\p t( HA 1?|\p u( HA 1?\L^B v( 61?L^B w( 61?DlH ( 0޽h ? a(3 , ;333mm02(  0 0 Z$wawa1?. N11/21/97    0 Zwawa1?/ M- 5 -   0 ZDwawa1?/ _OSU Research Commission   0 # lwawa1 ?o  0  0 # lwawa1 ?QD 0 8    0 `B 0 01?`B 0 01?  `B  0 01?`B  0 01?`B  0 01?`B  0 01? ^B 0 61?D^ 0 61? @ 8  p  0 p `B 0 01?@ @ `B 0 01?  l `B 0 01? l `B 0 01? l `B 0 01? l `B 0 01? p 8 a   0a  `B 0 01?  `B 0 01? e `B 0 01?e  `B 0 01?e  `B 0 01?e  `B 0 01?a  8   $0 `B 0 01?  `B 0 01? `B  0 01?  `B !0 01?  `B "0 01?  `B #0 01? 8 @ +0@`B %0 01?`B &0 01?  <`B '0 01?<`B (0 01?<`B )0 01?<`B *0 01?@8 1 201`B ,0 01?```B -0 01? 5 `B .0 01?5`B /0 01?5`B 00 01?5`B 10 01?18  90`B 30 01?`B 40 01?  `B 50 01?`B 60 01?`B 70 01?`B 80 01?8  P  @0 P `B :0 01?  `B ;0 01? L `B <0 01? L `B =0 01? L `B >0 01? L `B ?0 01? P ^B A0 61?d ^B B0 61?4T^B C0 61? ^B D0 61?D^B E0 61? lL ^B F0 61? Ll ^ G0 61?d p ^ H0 61? @^ I0 61?4p ^ J0 61?  ^ K0 61? ^ L0 61? P ^ M0 61? p p ^B N0 61?D< O0 Tĺwawa1?% l 1st Quartile (   P0 Twawa1?{  l 2nd Quartile (   Q0 TDwawa1? l 4th Quartile (   R0 T5wawa1? k l 3rd Quartile (  8 0  Y00 `B S0 01?  `B T0 01?  , `B U0 01?, `B V0 01?, `B W0 01?, `B X0 01?0 ^B Z0 61?D, ^ [0 61? 0  \0 Z5wawa1?# X `Source: NRC, OSU RC analysis   ]0 T$6wawa1?M gProgram( XB ^0 01?`|`^B _0 61?14 `0 T6wawa1?m3 -Rank in NRC sample (with confidence interval). . . a0 TD7wawa1? qRank among 20 peers   b0 T7wawa1?mC3 pKey:(  d c0 <1?up d0 HA 1?0 p e0 HA 1? \ | p f0 HA1? <p g0 HA 1?\ \ p h0 HA1? L\ p i0 HA1? < p j0 HA1?| l p k0 HA1?, p l0 HA1?\Lp m0 HA1?,H 0 0޽h ? a(+   C+;+YY8*( ȁ= 8 8 Zd8wawa1?. N11/21/97    8 Z8wawa1?/ M- 6 -   8 Z9wawa1?/ _OSU Research Commission   8 # l9wawa1 ?n  0  8 # lD:wawa1 ?!G  0 8 Q  8Q`B 8 01?`B 8 01? U `B  8 01?U`B  8 01? U `B  8 01?U`B  8 01?Q^B 8 61?P@^ 8 61?T 8    8  `B 8 01?  `B 8 01? `B 8 01?  `B 8 01? `B 8 01?  `B 8 01?  8  0  8 0 `B 8 01?  `B 8 01? , `B 8 01? , `B 8 01? , `B 8 01? , `B 8 01? 0 8 q $8q`B 8 01?`B 8 01? u `B  8 01?u`B !8 01? u `B "8 01?u`B #8 01?q8   +8 `B %8 01?`B &8 01?  `B '8 01?`B (8 01?  `B )8 01?`B *8 01? 8 p 28p`B ,8 01?@@`B -8 01?  l`B .8 01?l`B /8 01?  l`B 08 01?l`B 18 01?p8 a   98a  `B 38 01?  `B 48 01? e `B 58 01?e  `B 68 01? e `B 78 01?e  `B 88 01?a  ^B :8 61? @0 ^B ;8 61?p ^B <8 61?@p^B =8 61?d l ^B >8 61? , ^ ?8 61? 0 ^ @8 61?t ` ^ A8 61? ^ B8 61? `p^ C8 61?d ` ^ D8 61? ^B E8 61?t$| F8 T;wawa1?]E # l 1st Quartile (   G8 T;wawa1?\ " l 2nd Quartile (   H8 T<wawa1?\" l 4th Quartile (   I8 TD=wawa1?] # l 3rd Quartile (   J8 Z>wawa1?# X `Source: NRC, OSU RC analysis   K8 Td>wawa1?]}# gProgram( XB L8 01?^B M8 61?@0 N8 T>wawa1? # -Rank in NRC sample (with confidence interval). . . O8 T?wawa1?b qRank among 20 peers   P8 T?wawa1? O pKey:(  d Q8 <1?\p R8 HA1?<<p S8 HA1?l ,p T8 HA1?  ||p U8 HA1?\ l p V8 HA1?| p W8 HA1?  < p X8 HA1?L L p Y8 HA1?l< H 8 0޽h ? a(' } U'M'OO@&(  @ @ Z@wawa1?. N11/21/97    @ Zwawa1?/ M- 7 -   @ Ztwawa1?/ _OSU Research Commission   @ # lwawa1 ?n  0  @ # l4wawa1 ?!  0 l8 !  @!`B @ 01?PP`B @ 01? % |`B  @ 01?%|`B  @ 01? % |`B  @ 01?%|`B  @ 01?!^B @ 61?$@^ @ 61?$08  `  @ ` `B @ 01?0 0 `B @ 01?  \ `B @ 01? \ `B @ 01?  \ `B @ 01? \ `B @ 01? ` 8 Q   @Q  `B @ 01?  `B @ 01? U `B @ 01?U  `B @ 01? U `B @ 01?U  `B @ 01?Q  8 A $@A`B @ 01?pp`B @ 01? E `B  @ 01?E`B !@ 01? E `B "@ 01?E`B #@ 01?A8  +@`B %@ 01?`B &@ 01?  `B '@ 01?`B (@ 01?  `B )@ 01?`B *@ 01?8 @ 2@@`B ,@ 01?`B -@ 01?  <`B .@ 01?<`B /@ 01?  <`B 0@ 01?<`B 1@ 01?@^B 3@ 61?T ^B 4@ 61?T^B 5@ 61? @^B 6@ 61?  ` ^ 7@ 61?P ^ 8@ 61?D`^ 9@ 61? ^ :@ 61?0 <^ ;@ 61? T` ^B <@ 61?D < =@ Twawa1?-U l 1st Quartile (   >@ Twawa1?,  l 2nd Quartile (   ?@ Ttwawa1?,% l 4th Quartile (   @@ T4wawa1?-  l 3rd Quartile (  ^B A@ 61?@( B@ Twawa1? # -Rank in NRC sample (with confidence interval). . . C@ TTwawa1?b qRank among 20 peers   D@ Twawa1? O pKey:(  d E@ <1?\ F@ Ztwawa1?# X `Source: NRC, OSU RC analysis   G@ Twawa1?-M gProgram( XB H@ 01?|p I@ HA1?\p J@ HA1?<\p K@ HA1? l p L@ HA1?L l p M@ HA1?|l p N@ HA1? |Lp O@ HA1?<<H @ 0޽h ? a(' d U'M'OOH&(  H H Zwawa1?. N11/21/97    H Zwawa1?/ M- 8 -   H Zwawa1?/ _OSU Research Commission   H # lwawa1 ?o  0  H # ltwawa1 ?QiY  0 l8 X  HX`B H 01?]`B H 01?8 8 `B  H 01?((`B  H 01?H H `B  H 01?XX`B  H 01?^B H 61?^ H 61?8 X   H X `B H 01?]  `B H 01?8 8 `B H 01?( ( `B H 01?H H `B H 01?X X `B H 01?  8 X @  H X@ `B H 01?]  `B H 01?8 8 < `B H 01?( (< `B H 01?H H < `B H 01?X X< `B H 01? @ 8 X $HX`B H 01?]`B H 01?8 8 `B  H 01?((`B !H 01?H H `B "H 01?XX`B #H 01?8 XP +HXP`B %H 01?]  `B &H 01?8 8 L`B 'H 01?((L`B (H 01?H H L`B )H 01?XXL`B *H 01?P8 XA 2HAX`B ,H 01?]pp`B -H 01?8 E8 `B .H 01?(E(`B /H 01?H EH `B 0H 01?XEX`B 1H 01?A^B 3H 61? ,< ^B 4H 61?< L^B 5H 61?D l ^B 6H 61? T ^ 7H 61?  @ ^ 8H 61?` @ ^ 9H 61?00 P^ :H 61?Dlp^ ;H 61? L ^B H Twawa1?] R l 2nd Quartile (   ?H T$nwawa1?mR l 4th Quartile (   @H Tnwawa1?M S l 3rd Quartile (   AH Zowawa1?# X `Source: NRC, OSU RC analysis   BH Tpwawa1?}S gProgram( XB CH 01?  ^B DH 61?@( EH Tdpwawa1? # -Rank in NRC sample (with confidence interval). . . FH T$qwawa1?b qRank among 20 peers   GH Tqwawa1? O pKey:(  d HH <1?\p IH HA1?<<p JH HA1?  p KH HA 1? p LH HA!1?\p MH HA"1?<p NH HA1? L p OH HA#1?|<H H 0޽h ? a(V 80 P~( d P P ZDrwawa1?. N11/21/97    P Zrwawa1?/ M- 9 -   P Zdswawa1?/ _OSU Research Commission   P # lswawa1 ?.  0  P # l$twawa1 ?e  0 H P 0޽h ? a(D  8 Xl( wa X X ZDuwawa1?. N11/21/97    X Zuwawa1?. N- 10 -   X Zdvwawa1?/ _OSU Research Commission  p X H1))? t\p X H1))? d \ X # lvwawa1 ?  0  X # l$wwawa1 ? 0 U  X Zwwawa1?}x. 93Q 93E Pub/Fac Cite/Fac Tot Stu Rpt PhDs Tot Fac % Supp % RA 93C %Pub % Full % US % Fem % Fem Stu % Min % TA MYD Gini Cite Gini Pub  8  X Zwwawa1?}s  j1.00 0.97 0.82 0.81 0.82 0.81 0.71 0.72 0.62 0.48 0.48 0.47 0.30 0.12 -0.04 -0.18 -0.50 -0.57 -0.69 -0.71 kk k  X Zxwawa1?v O 93Q with:    X Zdywawa1?C  Q Corr.Coeff.  XB  X 01?UXB X 01?  X Z$ewawa1?- O Chemistry  B X Newawa1?}}K5 j1.00 0.95 0.81 0.78 0.78 0.70 0.55 0.48 0.41 0.40 0.30 0.22 0.20 -0.18 -0.22 -0.26 -0.35 -0.46 -0.59 -0.62kk kT X Zewawa1?} n5 93Q 93E Rpt PhDs Tot Fac Tot Stu Cite/Fac Pub/Fac % RA % Full % Supp %Pub % US 93C % Min % Fem Stu % Fem % TA MYD Gini Pub Gini Cite  X Zfwawa1?  O 93Q with:   X Zdgwawa1?S Q Corr.Coeff.  XB X 01?e XB X 01? X Zgwawa1?-1 MPhysics H X 0޽h ? a(<  Ih `d(  ` ` Zhwawa1?. N11/21/97    ` Zhwawa1?. N- 11 -   ` ZDiwawa1? v.OSU Research CommissionOSU Research Commission//  /p ` H1))?D< ,p ` H1))?$ , ` # liwawa1 ?$  0  ` # ljwawa1 ? 0 h  ` Zdjwawa1?}C 5 93Q 93E Tot Fac Tot Stu Rpt PhDs % Full % Supp 93C Pub/Fac %Pub Cite/Fac % Min % RA % Fem % TA % US % Fem Stu MYD Gini Cite Gini Pub  3  ` Tjwawa1?}s-5 i1.00 0.95 0.70 0.64 0.64 0.56 0.43 0.38 0.38 0.34 0.32 0.15 0.08 0.02 -0.01 -0.12 -0.19 -0.38 -0.42 -0.58jj j  ` Zkwawa1?f O 93Q with:    ` ZDlwawa1?q3  Q Corr.Coeff.  XB  ` 01?EXB ` 01?  ` Zmwawa1?- Q Linguistics   ` Zmwawa1?v  O 93Q with:   ` Znwawa1?C Q Corr.Coeff.  XB ` 01?U XB ` 01? ` ZDowawa1?-q  R Anthropology  < ` Zowawa1?}h) l93Q 93E % Supp % Full No. Awd Awd Fac % TA Tot Fac Rpt PhDs Tot Stu % RA 93C % Fem Stu % US % Fem % Min MYD mm m& ` Zpwawa1?}  X1.00 0.97 0.49 0.38 0.36 0.35 0.34 0.32 0.29 0.29 0.25 0.14 0.00 -0.10 -0.13 -0.18 -0.56YY YH ` 0޽h ? a(W  h h( wa h h Zwawa1?. N11/21/97    h ZTwawa1?. N- 12 -   h Zwawa1?/ _OSU Research Commission   h # ltwawa1 ?  0  h # lԸwawa1 ?3 0 H h 0޽h ? a() 0 ((HHpF(( wa p p ZTwawa1?. N11/21/97    p Zwawa1?. N- 13 -   p Ztwawa1?/ _OSU Research Commission   p TԻwawa1?H  {393 Q Tot Fac Cite/Fac Rpt PhD Gini Pub Pub/Fac4 4 4^B p 61?m p # l4wawa1 ?j  0 ^B p 61?p(  p Twawa1?< ; L3.69(2    p TTwawa1?x ]Correlation with 93Q   p Twawa1?  i#1.00 0.74 0.62 0.59 -0.59 0.57$ $ $  p  `twawa1))? 0i  OSU s strong position on objective metrics consistent with strong performance on 93QV( V V  p TԾwawa1?H  LKey: 2  p T4wawa1?hw JQ4 Avg  p Twawa1?h   JQ3 Avg  p TTwawa1?h 7 LQ2 Avg.   p Twawa1?h KQ1 Avg. XB p 01?00XB p 01?P P XB p 01? XB p 01?pp^B p 61?PhP^B p 61?p p Twawa1?K K5.9(2  XB p 01?y XB p 01?XB p 01?00XB p 01?^B p 61?@m@^B p 61? hXB p 01?=LXB  p 01?=ppLXB !p 01?=@ @ LXB "p 01?=L #p Twawa1? x$ O # (Scale)    $p T4wawa1?H (  IOSU 2  d %p <1?P  &p Tdwawa1?  \5.0 35 6 60 0 3( ^B 'p 61?^B (p 61? $|xXB )p 01?CRXB *p 01?=RXB +p 01?C R^B ,p 61?p^B -p 61?XB .p 01?@@XB /p 01?XB 0p 01? ^B 1p 61?@ @^B 2p 61?hhXB 3p 01?300BXB 4p 01?3 BXB 5p 01?<K^B 6p 61? p ^B 7p 61?d H XB 8p 01? XB 9p 01? XB :p 01?  XB ;p 01?  p 01?p ?p ZDwawa1? % O # (Scale)    @p Twawa1?lJ H33 2   Ap Twawa1?,z H54 2   Bp Tdwawa1?L : I8.0 2   Cp Twawa1?O  I2.7 2  d Dp <1? XB Ep 01?C Wd Fp <1?XB Gp 01?3 BXB Hp 01?H p 0޽h ? a(/)  (( HHxW((  x x Zwawa1?. N11/21/97    x Zwawa1?. N- 14 -   x Zwawa1?/ _OSU Research Commission   x Twawa1?H  }593 Q Rpt PhD Tot Stud Tot Fac Cite/Fac Gini Cite6 6 6^B x 61?m x # ldwawa1 ?k  0 ^B x 61?(  x Twawa1?< k L3.74(2    x Twawa1?x ]Correlation with 93Q   x TD wawa1?t  v$1.00 0.81 0.78 0.78 0.70 -0.62      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~ $$ % %  x T wawa1?H  LKey: 2   x T wawa1?hw JQ4 Avg  x Td wawa1?h   JQ3 Avg  x T$ wawa1?h 7 LQ2 Avg.   x T wawa1?h KQ1 Avg. XB x 01?``XB x 01?  XB x 01? XB x 01?` ` ^B x 61?PhP^B x 61?pX x T wawa1?l K164(2  XB x 01? XB x 01?XB x 01?``XB x 01?@@^B x 61?@m@^B x 61? hXB x 01?=LXB x 01?=ppLXB  x 01?=@ @ LXB !x 01?=L "x T wawa1? x$ O # (Scale)    #x T wawa1?H (  IOSU 2  d $x <1?P  %x TVwawa1?  _5.0 90 200 60 75 0( ^B &x 61?^B 'x 61?  xXB (x 01?CRXB )x 01?= RXB *x 01?Y00h^B +x 61?p^B ,x 61?0XB -x 01?@@XB .x 01?00XB /x 01? ^B 0x 61?@ @^B 1x 61?hhXB 2x 01?) 8XB 3x 01?) 8XB 4x 01?)  8^B 5x 61?  ^B 6x 61?` ( XB 7x 01?y P P XB 8x 01?y  XB 9x 01?y  XB :x 01?y ` `  ;x TWwawa1?  V0 0 0 0 30(  x ZXwawa1? % O # (Scale)    ?x T4Ywawa1?l| H89 2   @x TYwawa1?, H50 2   Ax TYwawa1?L : H57 2   Bx TTZwawa1?O  I6.7 2  d Cx <1? XB Dx 01?CWd Ex <1?XB Fx 01?)P P 8XB Gx 01?  Hx  `Zwawa1))? 0i  OSU s strong position on objective metrics consistent with strong performance on 93QV( V VH x 0޽h ? a() )t ))0HH)( Rܤ9\P   Zt[wawa1?. N11/21/97     Z[wawa1?. N- 15 -    Z\wawa1?/ _OSU Research Commission    T\wawa1?D  z293 Q Tot Fac Tot Stud Rpt PhD Gini Pub % Full3 3 3^B  61?m  # lT]wawa1 ?j  0 ^B  61?(  T]wawa1?  s  L1.89(2    Tt^wawa1?t ]Correlation with 93Q   T4_wawa1?  i#1.00 0.70 0.64 0.64 -0.58 0.56$ $ $f   `_wawa1))?H H8  dOSU s weak standing on key objective metrics consistent with performance on 93Q Program is sub-scale for faculty and PhD s Publications are highly concentrated in a small faculty6P c  Pc   T_wawa1?D   LKey: 2   TT`wawa1?d{ JQ4 Avg   T`wawa1?d  JQ3 Avg   Ttawawa1?d ; LQ2 Avg.    Tawawa1?d KQ1 Avg. XB  01?XB  01? XB  01? XB  01?P P ^B  61?PhP^B  61?P  T4bwawa1?( I9(2  XB  01? XB  01?@@XB  01?P P XB  01?^B  61?@m@^B  61? hXB  01?=LXB  01?=ppLXB ! 01?=@ @ LXB " 01?=L # Twawa1? t  O # (Scale)    $ TTwawa1?D $  IOSU 2  d % <1?P  & Twawa1?  _5.0 30 100 40 0 60( ^B ' 61?^B ( 61?  xXB ) 01?> MXB * 01?> MXB + 01?> M^B , 61?^B - 61?p X XB . 01?PPXB / 01? XB 0 01?XB 1 01?pp^B 2 61?@ @^B 3 61?XhXB 4 01?3BXB 5 01?3 BXB 6 01?< K^B 7 61? p ^B 8 61?d  XB 9 01?  XB : 01?  XB ; 01? XB < 01?    = Twawa1?  V0 0 0 30 0(  > Z4wawa1?u-[ E0 XB ? 01?p @ Zwawa1? ! O # (Scale)    A TTwawa1?\ ? H13 2   B Twawa1? _ H57 2   C Twawa1?H J27.3 2   D Ttwawa1? K  H23 2  d E <1? XB F 01?>Rd G <1?XB H 01?3@ @ BH  0޽h ? a(b+ H **@GG*( dd   Z4wawa1?. N11/21/97     Zwawa1?. N- 16 -    ZTwawa1?/ _OSU Research Commission    Twawa1?D  {393 Q Rpt. PhDs Cite/Fac Pub/Fac Gini Pub* % RA4 4 4^B  61?m  # lwawa1 ?j  0 ^B  61? (  Ttwawa1? K  L2.84(2    T4wawa1?t ]Correlation with 93Q   Twawa1?  i#1.00 0.69 0.62 0.69 -0.58 0.55$ $ $   `Twawa1))? p  OSU s weak position on key objective metrics appears consistent with performance on 93Q An important note: OSU underreported to the NRC the number of faculty and graduate students in this area by nearly 50% This suggests that NRC reviewers use the data provided, in addition to personal knowledge of specific departments - these mistakes are clearly costlye e e  Twawa1?t : LKey: 2   Twawa1?{ JQ4 Avg   Ttwawa1?  JQ3 Avg   T4wawa1? ; LQ2 Avg.    T$wawa1? KQ1 Avg. XB  01? XB  01? XB  01?p p XB  01?pp ^B  61?PhP^B  61? sx  T$wawa1?T I6(2  XB  01?MKK\XB  01?M \XB  01?M \XB  01?M\^B  61?pmp^B  61?@ XB  01?m|XB  01?mpp|XB ! 01?m@ @ |XB " 01?m| # T%wawa1?tP O # (Scale)    $ T&wawa1?t $ ' IOSU 2  d % <1?  & T&wawa1?  ]5.0 60 15 6 0 75( ^B ' 61?p^B ( 61?p3XB ) 01? XB * 01?kkXB + 01?^B , 61?p^B - 61?;XB . 01?33XB / 01?  XB 0 01? XB 1 01?^B 2 61?@h@^B 3 61? ; hXB 4 01?= LXB 5 01?= LXB 6 01?=++L^B 7 61? p ^B 8 61?` S XB 9 01?  XB : 01? kk XB ; 01? XB < 01? ss  = T'wawa1?  V0 0 0 25 0(  > Z'wawa1?u-[ E0 XB ? 01?p @ Z(wawa1?Q O # (Scale)   XB A 01? B T)wawa1?u I4.1 2   C Td)wawa1?%  I2.8 2  XB D 01?= L E T)wawa1?u ( J12.4 2   F T$*wawa1?x  H14 2   G T*wawa1? u!* Q2 Avg. is lower than Q1 Avg.&" 2! "H  0޽h ? a(j  P(    Z+wawa1?. N11/21/97     Z,wawa1?. N- 17 -    Z,wawa1?/ _OSU Research Commission    # l$-wawa1 ?/  0   # l-wawa1 ?Qa  0 S  Z-wawa1?[ 93Q 93E Pub/Fac Cite/Fac Tot Stu Rpt PhDs Tot Fac % Supp % RA 93C %Pub % Full % US % Fem % Fem Stu % Min % TA MYD Gini Cite Gini Pub  8  ZD.wawa1?; j1.00 0.97 0.82 0.81 0.82 0.81 0.71 0.72 0.62 0.48 0.48 0.47 0.30 0.12 -0.04 -0.18 -0.50 -0.57 -0.69 -0.71 kk k  Z/wawa1?& O 93Q with:    Z/wawa1?  Q Corr.Coeff.  XB  01?,XB  01?,   Zwwawa1?a  R Observations  XB  01? ,  Ttwwawa1?3c  E}0   N4xwawa1?] c &Publications, citations very important' ' '1  Txwawa1?=]  QHigh concentration of scholarly activity among few faculty tends to be penalized R R R  Txwawa1? c w E}$   TTywawa1?m3c  E}$   Nywawa1?G]   FExtramural funding important; high mix of RAs an indicator of strengthG G G   Tzwawa1? 3c  E}$    Ntzwawa1? ] c  1High mix of grad student TAs a possible liabiltiy2 2 2H  0޽h ? a( W@ YQ`(    Z{wawa1?. N11/21/97     Z{wawa1?. N- 18 -    Z|wawa1?/ _OSU Research Commission    # l}wawa1 ?|9G  0   # lt}wawa1 ?1/  0 p  HA$1?zH  0޽h ? a( ( :2p( wa   Z~wawa1?. N11/21/97     Z~wawa1?. N- 19 -    Zwawa1?/ _OSU Research Commission    # lwawa1 ?%  0   # ltwawa1 ?a? 0 p  HA%1?d?I   Z4wawa1?  O Chemistry  H  0޽h ? a(  ~v( X\`X   ZTwawa1?. N11/21/97     Zwawa1?. N- 20 -    Zwawa1?/ _OSU Research Commission    # lwawa1 ?  0 p  HA&1?dg!^  Zwawa1?  O Chemistry    Twawa1?]C $Source: 1993 NRC Survey; RC Analysis% %  %H  0޽h ? a(7 D 77QQ7(    Zwawa1?. N11/21/97     Zwawa1?. N- 21 -    Zwawa1?/ _OSU Research Commission    # l4wawa1 ?)  0 d  <1?X RB  s *1?  RB  s *1?  RB  s *1?  RB  s *1?  RB  s *1?)*RB  s *1?STRB  s *1?}~RB  s *1?RB  s *1?T RB  s *1? T RB  s *1?T RB  s *1?T d  <1?X RB  s *1?T RB  s *1?X nY RB  s *1? n RB  s *1? n RB  s *1? n RB  s *1? n RB  s *1?)n*RB  s *1?SnTRB  s *1?}n~RB  s *1?nRB  s *1?X Y RB  s *1?X t RB  s *1?X t RB ! s *1?X t RB " s *1?X t RB # s *1?X t  $ S B*C)DEF1?)( @ % S B*C)DEF1?)( @j & S B)C)DEF1?(( @o ' S B)C)DEF1?(( @io ( S B)C)DEF1?(( @S |  ) S B)C)DEF1?(( @G p  * S B)C*DEF1?() @  + S B)C*DEF1?() @j  , S B)C)DEF1?(( @K t  - S B)C)DEF1?(( @K t  . S B)C)DEF1?(( @   / S B)C*DEF1?() @j  0 S B)C)DEF1?(( @  1 S B)C)DEF1?(( @ ?  2 S B)C)DEF1?(( @S I | 3 S B)C*DEF1?() @  4 S B)C)DEF1?(( @@ i 5 S B*C*DEF1?)) @R |  6 S B)C)DEF1?(( @    7 S B)C)DEF1?(( @j  8 S B*C)DEF1?)( @   9 S B)C*DEF1?() @( : S B*C)DEF1?)( @> ; S B)C)DEF1?(( @  < S B*C)DEF1?)( @ = S B*C)DEF1?)( @>Zg > S B)C)DEF1?(( @Js' ? Z1?O  KOSU   @ Z1?) B  I0   A ZT1?R A  J10   B Z1?} A  J20   C Z1? A!  J30   D Zt1?AL  J40   E Z1?Au J50   F Z41?$A J60   G Z1?NA J70   H Z1?xA J80   I ZT1? $8  L3.00   J Z1? 88  L3.50   K Z1? L  8  L4.00   L Zt1? `"8  L4.50   M Z1? t68  L5.00   N Z1?|  R 93Q Rating    O  `T1?-  a% of Grad Students on RAs   P Twawa1?]C $Source: 1993 NRC Survey; RC Analysis% %  % Q Zwawa1?  O Chemistry  H  0޽h ? a(  ~v( wa   Zwawa1?. N11/21/97     Zwawa1?. N- 22 -    Zwawa1?/ _OSU Research Commission    # lwawa1 ?$  0 p  HA'1?z   Twawa1?]C $Source: 1993 NRC Survey; RC Analysis% %  %  Z wawa1?iM 9 C O Chemistry  H  0޽h ? a(W ,P ( wa   Z!wawa1?. N11/21/97     Z"wawa1?. N- 23 -    Z"wawa1?/ _OSU Research Commission    # l4#wawa1 ?$  0   # l#wawa1 ?! 0 H  0޽h ? a(` D| ( wa   Z%wawa1?. N11/21/97     Zt%wawa1?. N- 24 -    Z%wawa1? v.OSU Research CommissionOSU Research Commission//  /  # l4&wawa1 ?   0   # l&wawa1 ?S 0 H  0޽h ? a(`  i    ( wa   ZTtwawa1?. N11/21/97     Ztwawa1?. N- 25 -    Zuwawa1? v.OSU Research CommissionOSU Research Commission//  /  # ltuwawa1 ?)  0   # luwawa1 ?@X  0 "8h  T4vwawa1?-V   RResearch/faculty output Citations per FTE Citation concentration Avg time to full professor % of assoc prof s at rank >8 years Graduate Program quality/output # Fellowships awarded Incoming GPA Selectivity Time and % to degree % of Students on TAs, RAs % of students published Placement success g    h  *B   `vwawa1))?Q  FNotes: All metrics will not be relevant to all areas, and Many good ones are likely missing from this list Several don t exist currently, and need to be developed. hH  0޽h ? a(] U  ( wa   Zwawa1?. N11/21/97     ZTwawa1?. N- 26 -    Zwawa1?/ _OSU Research Commission    # ltwawa1 ?  0   # lwawa1 ?  0  0@H  0޽h ? a(c #( wa d  <1?   ZvjJjJ1?_  I1  d  <1?_Pd  <1?P   B1 ?    0  # lTwwawa1 ? @  0  H  0޽h ? a(c #(  d  <1?   ZwjJjJ1?_  I2  d  <1?_Pd  <1?P   B1 ?    0  # lxwawa1 ? @  0  H  0޽h ? a(c #$(  $d $ <1?  $ ZtxjJjJ1?_  I3  d $ <1?_Pd $ <1?P $  B1 ?    0 $ # lxwaճwaճ1 ? @  0  H $ 0޽h ? a(c #,(  ,d , <1?  , Z4yjJjJ1?_  I4  d , <1?_Pd , <1?P ,  B1 ?    0 , # lywaճwaճ1 ? @  0  H , 0޽h ? a(c # 4(  4d 4 <1?  4 ZyjJjJ1?_  I5  d 4 <1?_Pd 4 <1?P 4  B1 ?    0 4 # lTzwaճwaճ1 ? @  0  H 4 0޽h ? a(c #0<(  <d < <1?  < ZzjJjJ1?_  I6  d < <1?_Pd < <1?P <  B1 ?    0 < # l{waճwaճ1 ? @  0  H < 0޽h ? a(c #@D( ļB Dd D <1?  D Zt{jJjJ1?_  I7  d D <1?_Pd D <1?P D  B1 ?    0 D # l{waճwaճ1 ? @  0  H D 0޽h ? a(c #PL(  Ld L <1?  L Z4|jJjJ1?_  I8  d L <1?_Pd L <1?P L  B1 ?    0 L # l|waճwaճ1 ? @  0  H L 0޽h ? a(c #`T(  Td T <1?  T Z|jJjJ1?_  I9  d T <1?_Pd T <1?P T  B1 ?    0 T # lT}wawa1 ? @  0  H T 0޽h ? a(d  $p\(  \d \ <1?  \ Z}jJjJ1?_  J10  d \ <1?_Pd \ <1?P \  B1 ?    0 \ # l~wawa1 ? @  0  H \ 0޽h ? a(d  $d(  dd d <1?  d Zt~jJjJ1?_  J11  d d <1?_Pd d <1?P d  B1 ?    0 d # l~wawa1 ? @  0  H d 0޽h ? a(d  $l(  ld l <1?  l Z4jJjJ1?_  J12  d l <1?_Pd l <1?P l  B1 ?    0 l # lwawa1 ? @  0  H l 0޽h ? a(d  $t( @<yr td t <1?  t ZjJjJ1?_  J13  d t <1?_Pd t <1?P t  B1 ?    0 t # lwawa1 ? @  0  H t 0޽h ? a(d  $|( )) |d | <1?  | ZtjJjJ1?_  J14  d | <1?_Pd | <1?P |  B1 ?    0 | # lwawa1 ? @  0  H | 0޽h ? a(d $( d d  <1?   Z4jJjJ1?_  J15  d  <1?_Pd  <1?P   B1 ?    0  # lwawa1 ? @  0  H  0޽h ? a(d $(  d  <1?   ZjJjJ1?_  J16  d  <1?_Pd  <1?P   B1 ?    0  # lTwawa1 ? @  0  H  0޽h ? a(d $( pw wDG d  <1?   ZjJjJ1?_  J17  d  <1?_Pd  <1?P   B1 ?    0  # lwawa1 ? @  0  H  0޽h ? a(d $( ڭ  d  <1?   ZtjJjJ1?_  J18  d  <1?_Pd  <1?P   B1 ?    0  # lwaճwaճ1 ? @  0  H  0޽h ? a(d $(  d  <1?   Z4jJjJ1?_  J19  d  <1?_Pd  <1?P   B1 ?    0  # lwaճwaճ1 ? @  0  H  0޽h ? a(d $(    d  <1?   ZjJjJ1?_  J20  d  <1?_Pd  <1?P   B1 ?    0  # lTwaճwaճ1 ? @  0  H  0޽h ? a(d $ (  d  <1?   ZjJjJ1?_  J21  d  <1?_Pd  <1?P   B1 ?    0  # lwaճwaճ1 ? @  0  H  0޽h ? a(d $0(  d  <1?   ZtjJjJ1?_  J22  d  <1?_Pd  <1?P   B1 ?    0  # lwaճwaճ1 ? @  0  H  0޽h ? a(d $@(  d  <1?   Z4jJjJ1?_  J23  d  <1?_Pd  <1?P   B1 ?    0  # lwaճwaճ1 ? @  0  H  0޽h ? a(d $P(  d  <1?   ZjJjJ1?_  J24  d  <1?_Pd  <1?P   B1 ?    0  # lT wawa1 ? @  0  H  0޽h ? a(d $`(  d  <1?   Z jJjJ1?_  J25  d  <1?_Pd  <1?P   B1 ?    0  # l!wawa1 ? @  0  H  0޽h ? a(d $p(  d  <1?   Zt!jJjJ1?_  J26  d  <1?_Pd  <1?P   B1 ?    0  # l!wawa1 ? @  0  H  0޽h ? a(rJMdDoNS6Y^;^#EJ\opt1/l5<C{NYĪ/pFb:~V. r8 Oh+'0d , P \ h t'AGENDAfResearch CommissionAdministration NetworkPdmidmidmiRobert J. Perry3beMicrosoft PowerPoint 4.0oi@@|Lk@7vf@;Y-GPICT @@ hHHsr       QW;h  d{u   /KRW#U%-;M i )  ''Qg  '  +u]V DDocumentSummaryInformation8Current User/ ՜.+,0   ]'On-screen ShowDaZb TimesArialTimes New RomanMicrosoft Office 98=2. COLLEGE/DEPARTMENT-LEVEL BENCHMARKING Summary of Findings)OBSERVATIONS ON PERFORMANCE BENCHMARKINGACADEMIC REPUTATION Overview4OSU REPUTATION BY ACADEMIC AREA Arts and Humanities-OSU REPUTATION BY ACADEMIC AREA Engineering/OSU REPUTATION BY ACADEMIC AREA Life Sciences?OSU REPUTATION BY ACADEMIC AREA Physical Sciences/Mathematics<OSU REPUTATION BY ACADEMIC AREA Social/Behavioral Sciences@A QUICK REVIEW OF THE NRC SURVEY METHODOLOGY And an ObservationRCHEMISTRY AND PHYSICS Strong Correlation Between 93Q and Many Objective VariablesJLINGUISTICS AND ANTHROPOLOGY Strong Correlation With Only a Few VariablesDEPARTMENT REPUTATION AND PERFORMANCE IS RELATED TO OBJECTIVE CHARACTERISTICS The Challenge is to Identify these Characteristics%POLITICAL SCIENCE OSU 17th Out of 98PHYSICS OSU 24th Out of 147 ANTHROPOLOGY OSU 66th Out of 69)AEROSPACE ENGINEERING OSU 24th Out of 33sAN EXAMPLE: HOW THE NRC DATA MIGHT BE USED IN CHEMISTRY What Objective Metrics Drive Perceived Performance (93Q)?iIN CHEMISTRY, PROGRAM QUALITY IS CORRELATED WITH FEDERAL R&D EXPENDITURES Sample of Public UniversitiesrFACULTY SIZE APPEARS HIGHLY CORRELATED WITH NRC QUALITY RANKINGS Though in Top Quartile, Correlation DiminishesLAMONG PUBLICS IN TOP QUARTILE, FACULTY SIZE REMAINS CORRELATED WITH QUALITYRTOP PROGRAMS HAVE >50% OF GRAD STUDENTS EMPLOYED AS RAs Publics in Top QuartilePTOP PROGRAMS HAVE <20% OF GRAD STUDENTS EMPLOYED AS TAs Publics in Top QuartileMHOW NRC ANALYSIS MIGHT BE APPLIED TO SETTING STRATEGIC PRIORITIES Chemistry1 WE HAVE ASSEMBLED THIS DATA FOR ALL DEPARTMENTS@POSSIBLE METRICS FOR ACADEMIC UNIT PERFORMANCE A Starting PointE2. COLLEGE/DEPARTMENT-LEVEL BENCHMARKING Summary of Recommendations  Fonts UsedDesign Template Slide Titles'_^Robert J. PerryRdO)w( @Pictures SPPowerPoint Document(,SummaryInformation(   !"#$%&'()*+-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~DocumentSummaryInformation8Current User/'_^