The first option is to estimate the characteristics separately for the two strata, and take a weighted average to estimate the characteristic for all museums of the type. For example, we could analyze separately the most frequently cited needs for personnel among small museums in the Apparent Minority stratum and small museums in the Others stratum, and take a weighted average of the results to determine the most frequently cited needs for personnel among all small museums.
The problem with this option is that there are so few eligible responses of each type of museum in the Apparent Minority stratum (from nine rural museums to fifteen small museums), that we could not produce useful estimates for many characteristics.
The second option is to weight each response by the appropriate weight for its stratum, as described in Section, and estimate characteristics for the weighted data from both strata pooled together. This option would produce the most accurate estimates, but it would make tests of statistical significance very difficult. Since we consider it inherently misleading to present estimates of differences between types of museums without a measure of their significance, we will not use this option.
The option we have chosen is to select a subset of the eligible responses representing a random sample of the sampling frame, without stratification, and analyze this subset as representing all museums. Therefore, for purposes of analysis, we have grouped our responses as follows:
We tested for differences in distribution by region between all museums and each group of museums using the normal test for difference of two proportions, as described in section.
We estimated the number of museums of each group in each region by multiplying the share of a group's respondents that were in a region by our estimated population for the group. We estimated the Sampling Error for each group as follows:
Sampling Error = Population / Responses^.5
Because there were few or no respondents in some museum disciplines (for example, no respondents were planetariums) we could not produce usefully precise estimates of the number of museums in each discipline.
For each question, we took the mean of the usable responses for each group of museums. The response rate for the part of each question asking about paid people is much lower than for the part asking about total people. We surmise that many respondents who have no paid staff left this space blank instead of writing in a zero. This would explain the fact that for every group of museums, the mean response for total full-time personnel is less than the mean response for paid full-time personnel. Because of the low response rates and apparent non-representativeness of respondents, we have not drawn any findings from the part of each question asking about paid personnel.
We tested for statistically significant differences between each group of museums and all museums using the normal approximation to the permutation test for difference of means, as follows:
mG
is the mean response for the group (for example,
SMALL MUSEUMS)
mC
is the mean response for the complement, that is,
for respondents not in the group
N
is the number of usable responses for the group and
its complement combined
nG
and nC
are the numbers of usable
responses for the group and for its complement, respectively
v
is the variance of all the usable responses for the
group and its complement combined
Variance(mG-mC) = N/(N-1) (1/nG + 1/nC) v z = (mG-mC) / Standard Deviation(mG-mC)We counted a difference as statistically significant if
|z|
>1.64.For the Small, Emerging, and Rural museum groups, the complement consisted of all responses in the All Museums group that were not also in the group being examined. For the Minority museums group, the complement consisted of all responses in the All Responses group that were not also in the Minority museum group.
For each question, we tested for differences between groups by comparing the share of respondents who selected each activity as one of the three highest priority needs. We arranged the data as follows:
Selected Didn't activity select Group Gy Gn Complement Cy Cnwhere:
Gy
is the number of respondents in the group (for
example, SMALL MUSEUMS) who selected the activity (for example,
educational programs) as one of the three highest priority needs.Gn
is the number of respondents in the group who did
not select the activity.Cy
is the number of respondents not in the group who
selected the activity.Cn
is the number of respondents not in the group who
did not selected the activity.We applied the normal test for difference of two proportions, that is:
pG = Gy / (Gy+Gn) pC = Cy / (Cy+Cn) p = (Gy + Cy) / (Gy + Gn + Cy + Cn) v = p (1-p) ( (1/(Gy+Gn) + (1/(Cy+Cn))) z = (pG - pC) / v^.5We considered a difference as statistically significant if the result had a one-tailed descriptive level of significance less than.05 (that is,
|z|
> 1.64).
We counted a response as usable if the respondent provided a usable response regarding any activity, but even by this standard the response rate was only 50%. Moreover, we cannot distinguish between respondents who intended to answer "no" with regard to an activity and respondents who merely failed to respond.
Because of these problems, we have drawn no conclusions from the responses to this question.
We counted a response as usable if it was an integer greater than zero. We will discuss analysis of the responses regarding various activities separately.
We found a mean attendance for all museums of 77,085 for the two-year period referred to in the question. By comparison, the 1989 AAM survey of museums found a mean annual attendance of 69,181 for all museums in 1988. American Association of Museums, Data Report from the 1989 National Museum Survey (Washington: American Association of Museums, January 1992), Table E:47-A. We expect that there are three major causes for this discrepancy.
First, the attendance figures from the 1992 IMS survey refer to general visits by the public, and do not include scheduled school visits or scheduled adult visits (see question 7 of questionnaire in Appendix A). By contrast, the figures from the 1989 AAM survey include "individuals attending in prearranged groups".American Association of Museums, Appendix A, part E, question 47.
Second, the 1992 IMS survey intentionally defined "museum" to include smaller institutions that are excluded from the definition used for the 1989 AAM survey. The 1992 IMS survey did not require that a "museum" have a professional staff equal to at least one full-time worker, or be open to the general public at least 120 days per year, which were eligibility requirements for the 1989 AAM survey.American Association of Museums, pp. 4-5.
Third, we expect that some respondents to the 1992 IMS survey mistakenly entered annual attendance figures, even though the questionnaire asks for the number of visits over a two-year period.
Moreover, the question directs respondents to enter a value only if they have conducted the activity in question. Therefore, we cannot distinguish between respondents who intended to indicate they did not conduct the activity, and those who merely failed to respond to the question. Therefore, we can use the proportion of respondents that indicated they conducted the activity only as a low-end estimate of the proportion of the population that conducted the activity.
We tested for differences between all museums and each group in the proportion that indicated they had one or more groups or programs of a particular type, using the normal test for difference of two proportions, as described in section.
We analyzed responses to this question the same way we analyzed questions 4, 5, 9, 10 and 11, as described in section.
We counted a response as usable if:
Unfortunately, 2.4% of eligible respondents selected the "Over $300,000" range but did not enter a numeric amount. Excluding these responses would bias our findings downward, so we assigned each of these responses a value equal to the mean value for all numeric responses over $300,000.
We tested for statistically significant differences between each group of museums and all museums using the normal approximation to the permutation test for difference of means, as described in section.
We found 95% confidence intervals using Student's t distribution.
For each question, we tested for differences between groups by comparing the share of respondents who selected each potential source as one of the three most important. We applied the normal test for difference of two proportions, as described in Section.
We compared groups as to the share of museums that applied, and the share of applicants that received funding, for each source, using the normal test for difference of two proportions, as described in Section.
We counted a response as usable if it had exactly one choice for most useful, no more than one choice for second most useful, and no more than one choice for third most useful, except that we counted a response as unusable if it had a choice for third most useful but not for second most useful.
We tested for differences between groups in the proportion of usable respondents who chose each option as their first, second or third choice, using the normal test for difference of two proportions, as described in Section.
We tested for differences between groups in the proportion of usable respondents who answered "yes" to each question, using the normal test for difference of two proportions, as described in Section.
We estimated the number of minority museums in the population that would report each type of minority involvement by multiplying the proportion of usable minority respondents who answered "yes" to each question by our estimate of the total population of minority museums from Section. We also found the proportion answering "yes" to each question among all respondents that are not minority museums, and multiplied this by the difference between our population estimates of all museums and minority museums to obtain the number of non-minority museums in the population that would report each type of minority involvement.