general and miscellaneous:
-Run frequencies on each question [where this makes
sense; it might be necessary to think of better way to present
data for more complicated questions, such as Q14 (work responsibilities)].
-Make sure skips are right for Q10, 14, 23.
-Take look at nonmembers vs. members on various scales:
degrees, type of job, salary, chapter participation.
-Have another look at geographic distribution.
-Geography (Q28) x Q22D (geographic location satisfaction)
and also job satisfaction
-Look at city size.
-Q13 (total years worked as librarian) vs. age: how
big a spread is this? Look at also date of MLA and age
this connect with rest of q13 (?)
-Age x gender?
-Have a closer look at degrees; grad & undergrad
-Compare Q3 (importance of continuing ed) with Q22L
(satisfaction with CE opportunity at work) and 35 #1 (importance
of CE at national meetings) (filter out non-respondents)
-Better handle on languages: do the proficiencies.
-Type of work vs. language proficiency
-Better breakdown, closer look at various types of
academic library responses in Q9A: look at various categories
of academic libraries. Figure out how to recode those that checked
2+ categories. Especially pay attention to those who checked "retired"
+ 1 or more other categories. Does removing them make any difference?
-Re-examine salary figures generally; check outliers.
-Tenure and salary?
-Where are the 22% union people? academic libraries?
-Where are the tenured faculty (what type of academic
-Q18 (job security) and 19 (present contract status)
-Look a pay scales for different % FTE-is there some
type of pattern or break? Also look at %FTE by gender.
-Have another look at job categories. Do frequencies
and distributions on EACH category; histogram; then see where
logical groupings within each category are. Finally see how they
combine-are there a few logical categories overall? Create appropriate
variables and run tests. Also, look at some job categories across
different institutional types (e.g. catalogers in different types
of libraries-same degrees, salaries, etc.?)
-Look at job table x length of time in profession-do
people new to the profession have a different set of responsibilities
than ones who have been around longer? note: not necessarily AGE
but time in profession.
-Look at salaries vs. various job classifications
(in addition to the ones already done: cataloging, reference,
administration). Also salary by various satisfaction responses.
Salary by degrees in addition to MLS?
-Compare salaries with geographic/demographic factors
(e.g. city size)
-Finally, is it possible to get better salary figures
and ranges overall (taking into account different locations, job
categories, type of library, etc.)?
-Geography vs. job satisfaction?
-Length of time in profession x job satisfaction.
-Also Q18-19 (job security) with job satisfaction.
-Does more job variety relate to greater job satisfaction?
-Q10-11-12 (specific responsibilities for librarianship,
music) : just tally and then run against type of library (academic,
-Q31a (importance of Notes) x age?
-Reexamine scale of Q34 (number of national meetings
attended)? What would make sense in terms of scale: meetings with
years in MLA? If this seems to make sense, compare to Q37/38 (finacial
support for attending MLA national meetings). Also look at tenure
(do haves attend more than not haves) with these questions.
-What are some connections in the various tables
in Q31? Who does use placement service? If there are some responses
with very high or very low "very important"/"unimportant"
ratings, who went against the trend? That is, even if many MLA
members do not feel a certain item is important, is there still
an identifiable group which does?
-Run both meeting attendance and ratio (possibility
to attend vs. total attended) with Q39 (service in MLA).
-Compare Q39 (service in MLA) internally with itself.
Are some members exceptionally active? Do they share any common
-Compare Q31 (importance of ___ to be national MLA
member) to Q41 (same question for chapter members). Also do Q41
for non-national members.
-Q48: who does and who doesn't subscribe to MLA-L: look at with job category; and w/in MLA who doesn't subscribe. Again, any common characteristics?