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LongitudinalStudy

Page history last edited by Starr Hoffman 10 years, 1 month ago

sample selection in IPEDS dataset:

  • Misc: First Look Universe, Title IV participating, U.S. only
  • State or other jurisdiction: (50 U.S. states)
  • Sector: Public, 4-year or above, Private for-profit, 4-year or above
  • Degree-granting status: Degree-granting
  • Institutional category: Degree-granting, primarily baccalaureate or above
  • Institution size category: 1,000 - 4,999, 5,000 - 9,999, 10,000 - 19,999, 20,000 and above
  • resulting sample size = 641 institutions

 

second sample selection (first incorrectly emlininated all private non-profits):

  • Misc: First Look Universe, U.S. only
  • State or other jurisdiction: (50 U.S. states)
  • Sector: Public, 4-year or above, Private not-for-profit, 4-year or above
  • Degree-granting status: Degree-granting
  • Institutional category: Degree-granting, primarily baccalaureate or above
  • Institution size category: Under 1,000, 1,000 - 4,999, 5,000 - 9,999, 10,000 - 19,999, 20,000 and above
  • resulting sample size = 1,788 institutions (1,720 after data clean-up); then added data from ALS surveys... 
  • tracked 55 variables and covers years 2002, 2004, 2006, 2008

 

open access to university research, particularly that funded by the federal government (libraries, gov, HE, university research)

encouraging civil & civic discourse in colleges & universities (HE, gov, civic engagement)

use of existing data and/or qualitative study…?

research interests: HE, libraries, distance learning, civic engagement, art history

teaching civic engagement in online courses using art history as a librarian?  ;)

 

 

academic publishing projects

-- ASHE paper on librarians & PhD: submit to Dan

-- submit paper on academic library deans educational bkgd to …? try major HE journals first, then library journals (submit to both? ask Dr. Cutright)

-- submit embedded study (full results) to Journal on Distance Learning librarianship

-- revise CC IFLA paper for Library Hi Tech News

-- revise Connectivism paper as theory paper related to library instruction / information literacy

 

 

create a page on my wordpress site for publication tools:

-- Cabel's directories

-- check CiteBase Search, which looks at citation impact

-- journal citation impact / # database; also tech-lit-citation of blog posts

-- journal prestige database

-- database of journal publication requirements

-- style manual links

-- other links on the EDHE 6500 library page…

-- ongoing Federal Research database (FRIP)

-- NCES datasets…?

 

Publishing Tools

The following are a series of tools that I use in my research….

-- style manual links: APA

-- Federal Research In-Progress

-- data: NCES (IPEDS, ALS), AIR, ARL, ERIC?

-- places to publish, and author requirements

-- prestige/impact of various journal titles

-- find citation impact of articles you have published

 

QQML ppt outline

research question

why is it important? how can this information be used?

sample / population

methodology

results (charts, mention most relevant/interesting results)

discussion: implications, interpret, what do these results mean?

future research: what else should be studied?

 

Experiences/Activities of Online Embedded Academic Librarians (see previous ppt)

research question - what are the activities & experiences? (qualitative)

why is it important? how can this information be used? (it's a growing field without a lot of research; many assumptions, difficulties defining terms)

sample / population (6 selected universities of varying geography & institutional types; identified in various ways)

methodology (qualitative; phone interviews, email conversations, online survey, content analysis)

results (charts, mention most relevant/interesting results) -- SEE SLIDES

discussion: implications, interpret, what do these results mean? (SEE SLIDES)

future research: what else should be studied? (SEE SLIDES)

 

Academic Bkgd ARL Library Deans

research question (Phd/not, MLS?, subject areas, previous experience, length of tenure)

why is it important? how can this information be used? (important for those seeking these positions, for libraries hoping to hire, to note trends in hiring and education and application)

sample / population (all ARL library deans for 2010)

methodology (content analysis, confirmed by email to dean; any missing data mentioned as to how it was dealt with--may use some deans in some studies and not others depending on what information is missing)

results (charts, mention most relevant/interesting results) -- list descriptive stats

discussion: implications, interpret, what do these results mean? WRITE THIS… how does it relate to library education, HE education, certification and leadership programs…? should professional org's make recommendations on expected education for deans (probably not)?

future research: what else should be studied? (expand search beyond ARL libraries; also study position descriptions--this has already been done?)

 

Longitudinal Study of relationship between e-reference service and online education

research question -- is there a relationship? does one predict the other? (time, e-reference, online education); sounds like a multiple regression with e-ref as dependent variable and then another with online education presence as dependent variable

why is it important? how can this information be used?

sample / population (HOW should i limit this? maybe do a pilot study with a small group and suggest expanding with entire dataset… four-year academic BA-granting public/private nonprofits in US; maybe start with just Texas? or just liberal arts schools?)

methodology (multiple regression, longitudinal…. MORE HERE)

results (charts, mention most relevant/interesting results) … look at the data and interpret it for the layperson

discussion: implications, interpret, what do these results mean? be cautious in attributing causality, but talk about any relationships that are revealed

future research: what else should be studied? think of other potential variables that might affect this… both those that already exist in the dataset, and those that do not.

 

look for examples:

-- longitudinal multiple regression

-- using time as a factor in multiple regression

-- categorical variables (dv and iv)

-- screening data for longitudinal regression  

 

in SPSS, enter data so that it can be run with different dependent variables

-- presence of distance learning opportunity (Y/N)

-- presence of electronic reference services (Y/N)

-- year (1998, 2000, 2002, 2004, 2006, 2008)

---- how do I use the year to track "natural progress of technology through time" ?

-- institutional control (public, private)

-- Carnegie classification type

-- unique identifier for each institution (use this to combine the datasets--can I do this automatically in SPSS?)

 

so i need to use the degrees of freedom to determine how to code the data, and how many questions i can ask of the contrast; each of the dv's i plan to use are dichotomous (does that matter, or is it related to the independent variable?)

 

-- for each of the DV/IVs, can only ask 1 question (1 df).

-- longitudinal: separate dataset per year, or one dataset with separate year-specific variables?

 

-- start with a small example dataset to test how i set up the data and perform the regression

 

institution    2004-DL    2004-ER    2006-DL    2006-ER     2008-DL     2008-ER

A        N        N        N        Y        N        Y

B        N        Y        N        Y        Y        Y

C        N        Y        Y        Y        Y        Y

 

what about making each YEAR a variable, and the code reveals the 1 of 4 situations in that year:

-- 11 = DL N, ER N

-- 12 = DL N, ER Y

-- 21 = DL Y, ER N

-- 22 = DL Y, ER Y

 

my concern is that coding these as "exclusionary" categories is deceptive, since there is overlap

-- maybe this can be alleviated by considering some entries as equivalent codes, depending on the analysis/question?

-- maybe include these as separate AND as combined variables?

 

or I could code DL and ER, and list years as yes's…?

DL-Y            ER-Y

2006, 2008        2004, 2006, 2008

 

 

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