What is a Line Item Analysis?

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20 Οκτ 2013 (πριν από 3 χρόνια και 5 μήνες)

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What is a Line Item Analysis?


A Line Item Analysis is a
critique

of an existing Event
, Project

or Activity
.
Use

the same
systematic
approach
that was followed

in creating the original Event Plans
. Even proposals or suggestions for
new events can be
analyzed in detail with a LIA. I
te
ms in the existing or proposed activity

are
assessed and analyzed for
appropriateness

and proper
foundations
.


Line Items

refer to the various, different elements and
components
that make up the whole event.
Think of it
as every “item” that is needed, has its own “line” on the planning form.
Line Items call
also be a classifications or group of related
processes

that are included in any event.


LIA

is also

called

Factor

Analysis
. Looking at the ‘factors’ is a way
to reduce the number of
variables

(or
organize

them) and
is also a way that

structure
s and

relationships between variables
becomes more obvious.


Visualize

the links between events


commonalities,
cause and effect.



A LIA is a
statistical
reference.

I
t uses historical data to organize a
prediction

for future successes, problems and resolution of problems.

Components of the event are linked to each other thru common
purpose, cause and effect, general needs, common audience, common
goals and common vari
ables.



LIA can be visualized as a participation graph.

Success of the event is not always measured by number of participants
.
The percentage number of participants overall
can provide information
about: communication, receptiveness, agreement and
overlapping
components.



Line Item Analysis studies are a part of statistics (called data mining). Some of the types of analysis
processes (visualizations) that can be used as part of a LIA are:



Cluster Analysis


Boosting Trees


Canonical Analysis


CHA
ID Systems


C & R Trees



Classification Trees


Correspondence Analysis

Discriminant Analysis


Distribution Fitting




Experimental Design


Factor Analysis


General Discriminant


General Linear


Additive Models


Graphical Techniques


Component Analysis


MA
R Splines



Machine Learning


Multidimensional Scale

Neural Network


Nonlinear Estimation


Partial/Least Squares


Power Analysis


Process Analysis


Quality Control


Reliability



Structural Equity


Survival Analysis


Time Forecasting


Variance & Compliance


Statistical Advice


Distribution



http://www.statsoft.com/textbook/elementary
-
concepts
-
in
-
statistics/?button=1



Major Uses of Item Analysis


Item analysis can be a powerful technique available to
leaders

for the guidance and improvement of
projects,
events, meetings and processes.
For this to
happen
, the items to be analyzed must be valid measures of
group

objectives.
The
it
ems must be “able” to be analyzed. The analysis results are only valid if they provide a clue
to the nature of success
es, problems, strategies, and/or
misunderstanding
s that have occurred. Results will
give an idea

of appropriate
action, change, or continuation of the component.


In addition,
leaders

who construct their own
self
-
examinations may greatly improve the effec
tiveness of
their
leadership

and the validity of
results

if they select and
revise

their
projects

on the basis of item performance
data.



Where have you heard the term “line item” before? What did it mean?





Visualization Strategies



















C
ritical Terms:


Critique



Analysis, assessment, evaluation, review





appraisal, evaluation, and commentary


Systematic


Methodical, orderly, regular, organized





efficient, and logical


Appropriateness

Suitability, correctness, aptness,
use,





purposeful, necessary and fitting


Foundation


Base, basis, groundwork, source, origin,





preparation, training and research


Component



Part, section, factor, constituent, piece





or element


Process



Procedure, course, method, development
,





progression, manner, course of action,





common practice, route or means


Factor



Issue, feature, aspect, reason, cause,





part or dynamic


Variable

Fluctuation, unspecified factor, range of
possibilities, possible

outcomes or possible
problems, “worse case scenarios” or anticipated
changes


Statistics

Sign, marker, guide, value, gauge, element of
data, value or function, or applicable
information


Prediction

Forecast, guess, estimation, calculation or
future conjec
ture based on deductive reasoning,
supposition, presumption or speculation