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.

demographics:

-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…does this connect with rest of q13 (?)

-Age x gender?

education:

-Have a closer look at degrees; grad & undergrad majors.

-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. Pie charts?

-Type of work vs. language proficiency

work:

-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? public?

-Where are the tenured faculty (what type of academic libraries?)

-Q18 (job security) and 19 (present contract status) and salary?

-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, especially).

MLA participation:

-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 characteristics?

-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?