APPENDIX A
RESEARCH
METHODOLOGY
APPENDIX A: RESEARCH METHODOLOGY
The sections that follow describe the research methodology used for the National Science Foundation Principal Investigator FY 2001 Grant Award Survey and for the National Science Foundation Institutional FY 2001 Grant Award Survey.
A. QUESTIONNAIRE
DEVELOPMENT
The initial phase of questionnaire development included two focus groups with NSF representatives who could identify key issues to be included in the two questionnaires. A third focus group with institutional representatives was scheduled for September 2001, however the events of September 11 resulted in a cancellation. Instead institutional representatives were contacted by telephone to discuss key issues to be included in the survey. After draft questionnaires were developed, they were cognitively pretested with PIs and institutional representative, and revisions were made based on the findings from the pretests. The following provides details about the steps that were followed:
Date Type of Group Number of Participants
August 8, 2001 NSF Focus Group 12
August 9, 2001 NSF Focus Group 11
October 2001 Institutional Representatives 4
(Telephone interviews)*
December 4, 2001 Principal Investigators
Cognitive pretest/group discussion 8
January/February Institutional Representatives 4
2002 Cognitive pretest/individual
interviews
*Re-scheduled from the Federal Demonstration Project Group discussion because of September 11,2001.
B. PROCEDURES FOR
PRETEST WITH PRINCIPAL INVESTIGATORS
Eight PIs of a sample of 30 potential respondents participated in the pretest for the Principal Investigator FY 2001 Grant Award Survey. The sample was randomly selected from a total of 156 PIs throughout New Jersey representing a variety of grant types and award sizes. We decided to limit the sample selection to New Jersey because we assumed that MPR’s Princeton office in New Jersey would make it easier for the respondents to participate.
Respondents were asked to complete the draft questionnaire and comment on the questions. When respondents had difficulty understanding a question, MPR reworded the question or divided it into parts to make it more understandable. MPR also added some probes to better focus respondents on questions. Because participants voiced concerns about the amount of time it took to complete the questionnaire, the length of the questionnaire was reduced. Also, feedback about the focus of questions was implemented into a revised questionnaire. In particular, the concept “fully enabled” was discussed and rejected by the group. A preferred concept to describe the goals was “ongoing research and educational activities.”
The final questionnaire was programmed into a Web format to be conducted as a Computerized Self-Administered Questionnaire (CSAQ). Extensive testing was conducted on the Web questionnaire to insure compatibility with a wide range of different computers and servers that would be accessing the questionnaire.
The universe for the PI survey comprises all 6,180 FY 2001 NSF award grantees. NSF decided to collect data from the universe of PIs instead of a sample to ensure that the most robust information. Since the primary mode of data collection is the World Wide Web, the additional costs associated with using the universe, instead of a sample, were minimal. In addition, examining the universe eliminates both the additional costs needed to develop a sampling plan and the potential sampling bias associated with sampling plans.
The universe for the institutional survey comprises all 582 institutions where at least one PI received an NSF award in FY 2001. Each institution in the universe was mailed a questionnaire and afforded the opportunity to participate. However, a sample of 100 institutions was drawn from the universe, based on institutional size and type (for example, private research institution, academic institution), the number of grants received, the type of grants received, and the institution’s geographic region.
The sampling design is based on the purpose and analytical objectives of the study. The purpose of this study is to determine the burden of the grant awards on institutions receiving grants from NSF. The analytic objective is to investigate the burden of the grant awards using both institution-level and grant-level measures. Therefore, there is an interest in both the estimate of the proportion of institutions that have a level of burden and the estimate of the average burden per grant for specific types of grants or type of institutions. The sampling design accounts for these two analytical objectives, which indicate somewhat different designs. A stratified random sample of institutions was selected that included an over sampling of institutions with a larger number of grants.
The number grant awards per institution is highly skewed with 40 percent of institutions (233) receiving one award and 16 institutions receiving in aggregate more than 1,500 awards. To account for both analytical objectives, sampling strata were developed that permit an over sample of the institutions with the greatest number of awards, and allocate a sufficient number of sampled institutions to the strata of the institutions with one or only a few awards. Within each stratum, a sample of institutions with equal probability and without replacement were selected. A larger initial sample was selected and then partitioned into random sub samples called waves. Some waves were released for data collection at the start of the fielding period and others were held in reserve. Three reserve waves were released because of institutions on the original data base that NSF determined to be ineligible. At the end of the data collection, sampling weights were applied to the final data file based on the inverse of the selection probabilities and computed adjustment to compensate for non-response among sampled institutions.
The following provides a description of the universe and the sampling frame, the sampling design, sample allocation, and expected precision from the sample.
a. Description of
the Universe
The target population and the universe for this study is a listing of current recipients of grant awards by NSF. The population includes 582 institutions receiving a total of 6,180 grants, an average of 10.6 grants per institution. In total, 440 institutions (75 percent) received 9 or fewer grants with 233 (40 percent) institutions receiving one award and 85 (15 percent) institutions receiving two awards. On the other hand, 16 institutions (2.7 percent) accounted for 1,523 (25 percent) of the grant awards.
3. Sampling Design
and Allocation
The analytical objectives indicate two variations on a stratified sampling design. For institution-level survey estimates, the sampling design that can offer smallest sampling variance is an equal probability sample of all institutions. For grant-level measures of the burden of the grant awards, the sampling design offering smallest sampling variance has the institutions selected with probability proportional to the number of grant awards. The sampling approach that offered a reasonable comprise between these two designs.
A classical process to develop sampling strata that account for the “size” (in this case, the number of awards at the institution) of a sampling unit is to use the square root of the size factor and partition a list of sampling units into strata so that the aggregate value of the square root of the size factor for institutions in each strata is equal (see Cochran 1997 for the “cumulative square root of f rule”).[1] Using the cumulative square root of f rule, estimates of totals (in this situation grant awards) is improved over an equal probability sample of institutions. For example, if 5 sampling strata are desired, the cumulative square root is summed over all units and then divided by 5. This value is used to identify the units that are assigned to each stratum. In developing the strata, there was a slight modification of this procedure to achieve better precision for institution-level estimates.
The proposed sample size is 100 institutions. The precision available from a sample of 100 units is assessed by using an estimate of an institution-level proportion around 0.50. The estimated half-width of a 95 percent confidence interval is 0.098, that is an interval of .402 to .598 (see Table B.1). Using the cumulative square root of the frequency (f) rule, we looked not only at the square root but also the cube root. When the finite population correction is accounted for, using the cumulative square root of f rule, resulted in a half-width of a 95 percent confidence interval of 0.115, whereas using the cumulative cube root of the frequency, resulted in a half-width of a 95 percent confidence interval of 0.100. That is, the use of the cube root can achieve nearly the precision of a simple random sampling of all institutions, but includes over sampling of the institutions with the largest number of grants. Increasing the number of strata beyond 3 had only a slight effect on the precision, and the plan was to use 5 strata for operational ease. For grant-level estimates, the level of precision is based on the correlation between the number of grant awards at an institution and the outcome measures. The anticipated precision will be as good and most likely better than will be available for the institution-level estimates.
In summary, for the institution survey there was a stratified random sample of institutions using 5 strata for respondent sample of 100 institutions. The sampling strata were developed to achieve good precision for both institution-level estimates and grant-level estimates.
TABLE B.1
SAMPLE ALLOCATION AND STRATA FOR INSTITUTION SAMPLE
|
|
Number of Institutions |
|||
|
Strata |
Sample Size |
Equal Size Strata |
Square Root Algorithm |
Cube Root Algorithm |
|
1 |
20 |
116 |
269 |
197 |
|
2 |
20 |
116 |
154 |
159 |
|
3 |
20 |
116 |
79 |
106 |
|
4 |
20 |
117 |
47 |
70 |
|
5 |
20 |
117 |
33 |
50 |
|
Half-Width of 95% Confidence Interval |
|
0.098 |
0.115 |
0.100 |
Source: Mathematica computations.
Note: Half-width of 95% confidence interval = 1.96 * %variance for a stratified random sample where the variance within a stratum is computed from p * (1 – p) with p =0.50.
D. DATA COLLECTION
The PI survey was conducted using a mixed-mode format of Web and mail methods and the institution survey was a mail survey. A database containing contact information (telephone numbers and e-mail addresses) for potential respondents was provided to MPR by NSF.
The following provides additional detail of the data collection steps that were taken:
| January 2001 | NSF Director Dr. Rita R. Colwell sends PIs e-mail message announcing the survey. |
| January 30, 2002 | MPR begins sending PI e-mail invitations with Web site access username and password on a rolling schedule. |
| February 4-19, 2002 | MPR sends e-mail remiders to non-responders on a 3 day schedule. |
| February 15, 2002 | MPR sends questionnaire mail packets to 778 PIs who have responded to the Web questionnaire. |
| March 8, 2002 | Deadline for data collection |
|
Original PI grants in NSF data file |
6,180 |
|
PIs with multiple grants randomly selected a single grant for the survey (375) or questionable grant information (12) |
5,793 |
|
Total completes and partials |
5,221 |
|
Cases screened out during quality assurance process for criteria such as inconsistent grant award or duration information |
232 |
|
Total cases used for analysis |
4,989 |
A tracking system was developed to monitor participation. Figure A-1 illustrates the PI participation in the Web mode of the questionnaire. A total of 778 mail packets were sent to insure participation from PIs who may not have had Web access or would prefer to complete the questionnaire on paper.
The institutional survey was a mail only survey that used an e-mail approach to identify the most appropriate institutional participant. The data collection process was as follows:
| January 2001 | NSF Director Dr. Rita R. Colwell sends institution presidents an e-mail message announcing the two surveys. |
| January 24, 2002 | MPR sends e-mail messages to institution contact people identified on the NSF data file to identify the appropriate person to participate in the survey. |
| February 15-March 6, 2002 | Questionnaire mail packets are sent as institutional representatives contact information is identified. |
| March 8-30, 2002 | MPR contacts non-responders in the institution sample by phone and e-mail. |
| March 30, 2002 | All data collection is completed. |
|
Total institutions with 2001 NSF grant recipients |
582 |
|
No contact information |
60 |
|
Total number with contact information |
471(total); 105 (sample) |
|
Total questionnaires returned |
369 (total); 95 (sample) |
|
Questionnaires not acceptable after quality assurance |
359 (total); 95 (sample) |
E. INSTITUTIONAL SURVEY ESTIMATES OF STANDARD ERROR
As described in Section D, the results from the institution survey are based on a sample, not a census of all institutions. Therefore, the results discussed in the report have standard errors. The estimates of the standard error for the key items included in the analysis are on Table A-1.
F. PRINCIPAL
INVESTIGATOR SURVEY MEAN CALCULATIONS
The report includes information about means that are calculated in two different ways. There are means that are calculated for a single question in the PI questionnaire or for a single item of information from the NSF FY 2001 grant data files. In addition, there are means that have been calculated using measures constructed from either two items in the survey data or using a combination of questionnaire items and items from the NSF FY 2001 grant data file. The means for these constructed variables are calculated by taking the individual PI information for the included items, doing the calculation for each individual PI, and then getting an average. The following describes the information that is based on means calculated from multiple items. Appendix G has the central tendency distributions for these constructed variables.
|
CONSTRUCTED VARIABLES |
CALCULATION AND DATA SOURCE |
|
Option 1: Award Efficiency and Effectiveness Deviation from Requested Award Amount |
(FY 2001 Award Request – FY 2001 Award Amount)/Number of FY2001 Grant Award Years (Information from NSF data file) |
|
Option 2: Award Efficient and Effectiveness Percent of Research Being Funded |
(FY 2001 Award Amount/(Q3.2¸100)-FY2001 Award Amount) Divided by 5 Years to annualize (NSF information and survey question) |
|
Option 4: Award Efficient and Effectiveness NFS’s Contribution |
Q3.3 X Q3.4 Divided by 5 Years to Annualize (Survey questions) |
|
Difference in FY 2001 Award Amount Request and Amount Awarded |
FY 2001 Amount Request-FY 2001 Amount Award (NSF data file) |
|
Difference in FY 2001 Duration Request and Duration Award |
FY 2001 Duration Request-FY 2001 Duration Award (NSF data file) |
|
Additional Duration Needed |
FY 2001 Duration Award + Q3.1 (NSF data file and survey question) |
G. SURVEY
MEASUREMENT ERROR
It should be noted that in any survey there are sources of both sampling and non-sampling error. Some examples of sources of survey measurement error are non-response to the survey, skipped questions, context effects, data collection methodology, and question wording. In conducting this study, all efforts possible were taken to minimize survey measurement error.

APPENDIX B
ANNOTATED QUESTIONNAIRES
APPENDIX B CONTENTS
A. NATIONAL
SCIENCE FOUNDATION PRINCIPAL INVESTIGATOR 2001 GRANT AWARD SURVEY
B. NATIONAL
SCIENCE FOUNDATION INSTITUTIONAL SURVEY
|
OMB Approval Number: 3145-0185 Welcome to the National
Science Foundation Principal
Investigator 2001 Grant Award Survey
|
||||||||||||||||||||||||||||||||||||
2001 NSF GRANT INFORMATION
|
#1 |
Grant Title |
__________________________________ |
|
#2 |
Grant Effective Date |
__________________________________ |
|
|
Requested Amount |
__________________________________ |
|
#4 |
Awarded Amount |
__________________________________ |
|
#5 |
Amount Change 5% or
Greater |
__________________________________ |
|
#6 |
Requested Duration |
__________________________________ |
|
#7 |
Awarded Duration |
__________________________________ |
|
#8 |
Duration Change 1 Year
or Greater |
__________________________________ |
· You will be asked to
reference the information listed above throughout this questionnaire. This information is from our database and is
specific to the NSF grant you were awarded funding in 2001.
· When a question asks you
to think about any of the above information, a notation will be made
in the questionnaire. Therefore,
it is important to keep this information attached to the rest of the
questionnaire.
![]()
· If this is your grant, please
check the box and begin the questionnaire.
· If any of this grant information
is incorrect, please contact Matt Mishkind at 877-236-4185 or
nsfgrantsweb@mathematica-mpr.com before you complete the questionnaire.
·
You may also complete this
questionnaire on the Web:
|
http://nsfgrants.mathematica-mpr.com and enter
the following USERNAME: xxxxxx PASSWORD: xxxxxx |
PRINCIPAL
INVESTIGATOR
2001
GRANT AWARD SURVEY
SECTION 1
|
REMINDER: Please check grant information provided on
back of cover page. |
1.1 Was your 2001 NSF grant [#1 GRANT TITLE]
awarded on [#2 GRANT EFFECTIVE DATE] a first‑time submission or a
revision of a previously declined NSF proposal?
· A revised proposal does not refer to changes
made in your 2001 NSF grant proposal after the initial review
mark
one
71% a first time submission
29% a revision of a previously declined NSF proposal
1.2 NSF research grants can be classified along a
number of different dimensions. Which ONE
of the following definitions best describes the research that is funded by this
grant?
· If your work involves several of these
categories please choose the one that is most appropriate
THEORETICAL research can be accomplished with
minimal physical resources beyond the investigator’s institutional research
library, computing capability and office space.
LABORATORY research requires an
equipped laboratory, for example, research often found in chemistry, biology or
engineering university laboratories requiring research and/or testing
equipment, plumbing.
FIELD research requires fieldwork,
specimen collection, sample survey, location of sensors, etc. away from the
principal investigator’s institution, for example, some science activities in
geosciences, biology, social sciences.
mark
one
37% Theoretical Research
44% Laboratory Research
18% Field Research
1.3 Does your 2001 NSF project require the use of
a national or international research facility such as access to an accelerator,
a light source, a ship, major telescope or supercomputer center?
16% Yes
83% No
1.4 In general, would you say
that this 2001 NSF grant is funding:
mark one
7% A
specific product or deliverable
89% A project that is part of your ongoing body
of research and educational activities
4% Other (Please Describe)
1.5 For each of the following,
how much advice did you get from NSF staff when you were preparing your grant
proposal:
|
|
|
MARK ONE
FOR EACH |
||||
|
|
|
A Great
Deal |
Some |
Not Much |
|
None At
All |
|
a.
|
The amount of funding............. |
12% |
27% |
17% |
|
43% |
|
b.
|
The duration of the grant
proposal................................. |
11% |
21% |
16% |
|
51% |
|
c.
|
The substance or focus of
the grant...................................... |
7% |
25% |
19% |
|
49% |

1.6 Based on the advice provided
by NSF staff, did you increase, not change, or decrease:
|
|
|
Increase |
Not
Change |
Decrease |
Not Asked |
|
|
a. |
The amount of the award
you proposed....................................... |
4% |
36% |
27% |
31% |
|
|
b. |
The award duration you
proposed.... |
3% |
58% |
6% |
31% |
|
SECTION 2
As part of the review process, NSF may ask principal investigators to
revise their proposal before they are awarded funding. The following questions are about your
revised budget and award duration.
ONLY ANSWER Q2.1 IF #5 AMOUNT CHANGE >5% IS
LABELED “YES.” See inside
cover.
2.1 In your proposal, you
requested [#3 REQUESTED AMOUNT] and in your award you received [#4 AWARDED
AMOUNT].
Overall, how much will
this change in the award amount impact your ability to do what you expected to
accomplish with this 2001 NSF grant?
mark one
1% Can
do a great deal more than expected
2% Can
do somewhat more than expected
7% Can
do about the same as expected
28% Can do somewhat less than expected
15% Can do a great deal less than expected
1% Don’t
know
47% Not asked
ONLY ANSWER Q2.2 IF #8 DURATION CHANGE >1 YEAR
IS LABELED “YES.” See inside
cover.
(IF BOTH #5 AMOUNT CHANGE >5% AND #8 DURATION
CHANGE >1 YEAR ARE LABELED “NO,” PLEASE SKIP TO SECTION 3).
2.2 In your proposal, you
requested [#6 REQUESTED DURATION] and in your award you received
[#7 AWARDED DURATION].
Overall, how much will
this change in award duration impact your ability to do what you expected to
accomplish with this 2001 NSF grant?
mark one
1% Can
do a great deal more than expected
1% Can
do somewhat more than expected
1% Can
do about the same as expected
4% Can
do somewhat less than expected
5% Can
do a great deal less than expected
88% Not asked
IF YOU RESPONDED AS 6 “CAN’T ANSWER” OR -1 “DON’T KNOW” TO
BOTH Q2.1 AND Q2.2, PLEASE SKIP TO SECTION 3.
ONLY ANSWER Q2.3 IF YOU PROVIDED A
RESPONSE OF 1, 2, 3, 4, OR 5 TO EITHER Q2.1 OR Q2.2.
2.3 The
following are some possible consequences of the changes in your NSF award
funding and/or duration. Will this
change have a positive impact, no impact, or negative impact on your ability
to ...
|
|
|
Positive Impact |
No Impact |
Negative Impact |
Not Applicable |
Not Asked |
|
|||||
|
A. Goals and
Objectives |
|
|||||||||||
|
a.
|
Pursue innovative ideas............................................................. |
4% |
25% |
23% |
1% |
47% |
|
|||||
|
b.
|
Pursue high-risk ideas.............................................................. |
3% |
20% |
26% |
4% |
47% |
|
|||||
|
c.
|
Obtain other funding................................................................. |
6% |
35% |
6% |
5% |
47% |
|
|||||
|
B. Applications
and Outcomes |
|
|||||||||||
|
d.
|
Disseminate research
findings................................................... |
4% |
32% |
17% |
1% |
47% |
|
|||||
|
e.
|
Develop instrumentation or
other enhancements for the research and education infrastructure...................................................... |
2% |
17% |
20% |
13% |
47% |
|
|||||
|
f.
|
Develop partnerships
with industry, other educational institutions, or national laboratories.............................................................. |
3% |
26% |
13% |
11% |
47% |
|
|||||
|
g.
|
Integrate research activity
into your teaching and training............. |
4% |
27% |
18% |
4% |
47% |
|
|||||
|
h.
|
Nurture connections
between research activity and its potential for: health benefits, economic benefits, and national security
benefits................................................................................... |
2% |
24% |
10% |
16% |
47% |
|
|||||
|
i.
|
Develop programs with K‑12
teachers and/or students................. |
1% |
23% |
7% |
22% |
47% |
|
|||||
|
j.
|
Improve public
understanding of the project................................. |
3% |
31% |
11% |
9% |
47% |
|
|||||
|
C. Process and
Team Building |
|
|||||||||||
|
k.
|
Collaborate with
researchers in your area of research.................. |
5% |
21% |
26% |
1% |
47% |
|
|||||
|
l.
|
Broaden participation of
under-represented groups in the research activity.................................................................................... |
3% |
27% |
18% |
6% |
47% |
|
|||||
|
m. |
Collaborate with
researchers in different areas of research............ |
4% |
25% |
21% |
3% |
47% |
|
|||||
|
n.
|
Achieve the research
objectives within the specified time............. |
4% |
14% |
34% |
1% |
47% |
|
|||||
|
o.
|
Obtain quality personnel........................................................... |
3% |
17% |
28% |
4% |
47% |
|
|||||
|
p.
|
Establish mentoring or
other research-based education activities.. |
3% |
23% |
21% |
5% |
47% |
|
|||||
|
D. Research Tools |
|
4% |
|
|
|
47% |
||||||
|
q.
|
Access state-of-the-art
equipment............................................. |
2% |
28% |
17% |
6% |
47% |
|
|||||
|
r.
|
Access facilities....................................................................... |
2% |
34% |
10% |
6% |
47% |
|
|||||
SKIP Q2.4a IF NO POSITIVE
ITEMS IN Q2.3
2.4a Among the items you marked
“Positive Impact,” please rank order (write in the number(s)), up to three,
those that had the most positive impact.
|
#1 |
|
#2 |
|
#3 |
SKIP Q2.4b IF NO NEGATIVE
ITEMS IN Q2.3
2.4b Among the items you marked
“Negative Impact,” please rank order (write in the number(s)), up to three,
those that had the most negative impact.
|
#1 |
|
#2 |
|
#3 |
2.5 Please describe any other
impact(s) that resulted from the change in your 2001 NSF award or give more
details on any in the list that need further explanation.
SECTION 3
The next group of questions is your assessment of how
this grant fits into your ongoing body of research and educational activities.
· Our records indicate that your 2001 NSF
grant is for $[#4 AWARDED AMOUNT] over a
period of [#7 AWARDED DURATION]
Years. See inside
cover.
3.1 Thinking about the timeframe
for your ongoing body of research and educational activities, about how many additional
years do you think you would need to accomplish your key goals?
· DO NOT include the years for the 2001 NSF
grant
· Enter “0” for “Do not need any additional
years”
|
Median=2 |
Mean=3 |
Mode=2 |
Range: 0 to 40 |
3.2 If you
think about your ongoing body of research and educational activities as 100
percent of what you’d like to accomplish in the next five years,
about what percent of what you’d like to do will be achieved with your
2001 NSF research grant?
|
Median=30 |
Mean=37 |
Mode=20 |
Range: 0 to 100 |
Now,
speculate on what changes, if any, you would need to accomplish all you would
like to in the next five years.
3.3 In the
next five years, how much additional funding from all sources, if any,
would you need to achieve what you would like to with your ongoing body of
research and educational activities?
· Exclude funding you currently have for
this NSF grant and from any other funding sources
· Enter “0” for “Do not need any additional
funding”
|
Median=$500,000 |
Mean=$1,149,000 |
Mode=$500,000 |
Range: $0 to $300,000,000 |
IF YOU DO
NOT NEED ADDITIONAL FUNDING OR DON’T KNOW, SKIP TO Q3.6.
3.4 What
percent of this additional amount do you think is appropriate for NSF to fund?
|
Median=70% |
Mean=67% |
Mode=100% |
Range: 0% to 100% |
3.5 About how many additional
grants do you think you would need to get this funding?
|
Median=2 |
Mean=2.39 |
Mode=2 |
Range: 0 to 32 |
ONLY ANSWER Q3.6 IF YOU NEED ADDITIONAL YEARS (Q3.1)
AND/OR ADDITIONAL FUNDING (Q3.3).
IF YOU RESPONDED “0” OR “DON’T KNOW” TO Q3.1 AND
Q3.3, SKIP TO SECTION 4.
3.6 If NSF provided this
additional funding and/or duration to support your ongoing research and
educational activities, would there be a positive impact, no impact, or a
negative impact on each of the following:
|
|
|
Positive Impact |
No Impact |
Negative Impact |
Not Applicable |
Not Asked |
|
A. Goals and
Objectives |
||||||
|
1. |
Pursue innovative ideas............................................................. |
87% |
2% |
<1% |
<1% |
10% |
|
2. |
Pursue high-risk ideas.............................................................. |
76% |
9% |
<1% |
4% |
10% |
|
3. |
Obtain other funding................................................................. |
54% |
26% |
5% |
3% |
10% |
|
B. Applications
and Outcomes |
||||||
|
4. |
Disseminate research
findings................................................... |
74% |
14% |
<1% |
1% |
10% |
|
5. |
Develop instrumentation or
other enhancements for the research and education infrastructure...................................................... |
61% |
16% |
<1% |
13% |
10% |
|
6. |
Develop partnerships
with industry, other educational institutions, or national laboratories.............................................................. |
62% |
19% |
<1% |
8% |
10% |
|
7. |
Integrate research
activity into your teaching and training............. |
73% |
13% |
<1% |
2% |
10% |
|
8. |
Nurture connections
between research activity and its potential for: health benefits, economic benefits, and national security
benefits................................................................................... |
48% |
24% |
<1% |
16% |
10% |
|
9. |
Develop programs with K‑12
teachers and/or students................. |
32% |
36% |
<1% |
20% |
10% |
|
10.
|
Improve public
understanding of the project................................. |
58% |
25% |
<1% |
5% |
10% |
|
C. Process and
Team Building |
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|
11.
|
Collaborate with
researchers in your area of research.................. |
83% |
6% |
<1% |
<1% |
10% |
|
12.
|
Broaden participation of
under-represented groups in the research activity.................................................................................... |
62% |
23% |
<1% |
3% |
10% |
|
13.
|
Collaborate with
researchers in different areas of research............ |
76% |
12% |
<1% |
2% |
10% |
|
14.
|
Achieve the research
objectives within the specified time............. |
83% |
6% |
<1% |
1% |
10% |
|
15.
|
Obtain quality personnel........................................................... |
76% |
9% |
<1% |
3% |
10% |
|
16.
|
Establish mentoring or
other research-based education activities.. |
71% |
14% |
<1% |
3% |
10% |
|
D. Research Tools |
||||||
|
17.
|
Access state-of-the-art
equipment............................................. |
60% |
22% |
<1% |
7% |
10% |
|
18.
|
Access facilities....................................................................... |
49% |
32% |
<1% |
8% |
10% |
SKIP Q3.7a IF NO POSITIVE
ITEMS IN Q3.6
3.7a Among the items you marked
“Positive Impact,” please rank order (write in the number(s)), up to three,
those that had the most positive impact.
|
#1 |
|
#2 |
|
#3 |
SKIP Q3.7b IF NO NEGATIVE
ITEMS IN Q3.6
3.7b Among the items you marked
“Negative Impact,” please rank order (write in the number(s)), up to three,
those that had the most negative impact.
|
#1 |
|
#2 |
|
#3 |
3.8 Please describe any other
impact(s) that would result if NSF provided you what you need for what you want
to accomplish, or give more details on any in the list that needs further explanation: