|
|
|
|
LEADER |
00000nam a22000002u 4500 |
001 |
in00003806017 |
003 |
ERIC |
005 |
20220616161157.0 |
007 |
he u||024|||| |
008 |
730401s1973 xx ||| b ||| | eng d |
035 |
|
|
|a ED087437 Microfiche
|
040 |
|
|
|a ericd
|c ericd
|d MvI
|d UtOrBLW
|
049 |
0 |
0 |
|a EEM#
|
099 |
|
|
|a ED087437 Microfiche
|
100 |
1 |
|
|a Nutt, A. T.
|
245 |
1 |
0 |
|a Multiple Linear Regression :
|b A Realistic Reflector /
|c A. T. Nutt and R. R. Batsell.
|
260 |
|
|
|a [Place of publication not identified] :
|b Distributed by ERIC Clearinghouse,
|c 1973.
|
300 |
|
|
|a 21 pages
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a microform
|b h
|2 rdamedia
|
338 |
|
|
|a microfiche
|b he
|2 rdacarrier
|
500 |
|
|
|a ERIC Note: Paper presented at the Association for Educational Data Systems Annual Convention (New Orleans, Louisiana, April 16 through 19, 1973).
|5 ericd
|
520 |
|
|
|a Examples of the use of Multiple Linear Regression (MLR) techniques are presented. This is done to show how MLR aids data processing and decision-making by providing the decision-maker with freedom in phrasing questions and by accurately reflecting the data on hand. A brief overview of the rationale underlying MLR is given, some basic definitions are offered, and MLR is described as the process of defining alternative linear models and using appropriate test statistics to determine the model which best satisfies the criteria of simplicity and goodness of fit. Following this, an actual question of interest to an educational decision-maker is stated, and a linear model which reflects the relevant factors is presented. The process of "testing the question" is outlined. An action-oriented interpretation of the data analysis and the resulting steps to be taken by the administrator are described. (Author/PB)
|
533 |
|
|
|a Microfiche.
|b [Washington D.C.]:
|c ERIC Clearinghouse
|e microfiches : positive.
|
500 |
|
|
|a Microform.
|
650 |
0 |
7 |
|a Data Analysis.
|2 ericd
|
650 |
1 |
7 |
|a Data Processing.
|2 ericd
|
650 |
1 |
7 |
|a Decision Making.
|2 ericd
|
650 |
0 |
7 |
|a Decision Making Skills.
|2 ericd
|
650 |
1 |
7 |
|a Educational Administration.
|2 ericd
|
650 |
0 |
7 |
|a Models.
|2 ericd
|
650 |
1 |
7 |
|a Multiple Regression Analysis.
|2 ericd
|
650 |
0 |
7 |
|a Research Methodology.
|2 ericd
|
653 |
1 |
|
|a Multiple Linear Regression
|
653 |
0 |
|
|a Association for Educational Data Systems
|
700 |
1 |
|
|a Batsell, R. R.,
|e author.
|
907 |
|
|
|y .b59721054
|b 211122
|c 081209
|
998 |
|
|
|a mc
|b 081209
|c m
|d a
|e -
|f eng
|g xx
|h 0
|i 1
|
982 |
|
|
|a no_backstage
|
999 |
f |
f |
|i c8fd4d4c-664e-510e-831a-80ce0c8cf75f
|s d4af6447-33a0-561b-ae35-91d1e1585545
|t 0
|
952 |
f |
f |
|p Non-Circulating
|a Michigan State University-Library of Michigan
|b Michigan State University
|c MSU Microforms
|d MSU Microforms, 2 West
|t 0
|e ED087437 Microfiche
|h Other scheme
|i Microform (Microfilm/Microfiche)
|n 1
|