De orientación personal

Instruction: Below are items on the use of MIS in choice of alternatives in decision-making process among lecturers in universities. You are therefore expected to indicate the extent you use MIS in choice of alternatives in your university by ticking (√) in the column that best describes your opinion. Use the following codes: Very High Extent (VHE), High Extent (HE), Low Extent (LE) and Very Low Extent (VLE).

To What Extent Do You Use: Responses

To What Extent Do You Use: Responses

VHE HE LE VLE 11 Electronic data interchange in evaluating the effectiveness

of a chosen alternative.

12 Word processing to critically appraise an alternative course of action.

13 Computer to evaluate an alternative course of action based on its effectiveness.

14 Video texts to appraise an alternative course of action based on the risks involved.

15 Facsimile transmissions to evaluate an alternative course of action based on its economy of resources.

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VHE HE LE VLE 16 Computer in selecting the alternative that will

produce the most favourable outcome.

17 Video conferencing in selecting an alternative by comparing the risk involved with expected benefit.

18 Word processing in selecting an alternative based on the time demand of the problem situation.

19 Electronic calendaring in selecting an alternative based on its economy of efforts.

20 Electronic data interchange to select an alternative based on the limitations of resources.

Section 5: Implementation of the Decision

Instruction: Below are items on the use of MIS in implementation of the decision in decision-making process among lecturers in universities. You are therefore expected to indicate the extent you use MIS in implementation of the decision in your university by ticking (√) in the column that best describes your opinion. Use the following codes: Very High Extent (VHE), High Extent (HE), Low Extent (LE) and Very Low Extent (VLE).

To What Extent Do You Use: Responses

VHE HE LE VLE 21 Electronic mails to make sure that a chosen alternative is

clearly understood before implementation.

22 Electronic bulletin boards in searching for already decided similar cases in the school before implementing a decision.

23 Word processing to ensure that a chosen course of action works well.

24 Electronic calendaring to establish a workable time frame for implementing a decision.

25 Electronic data interchange to ensure routine examination of a chosen course of action.

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Section 6: Evaluation of Decision Effectiveness

Instruction: Below are items on the use of MIS in evaluation of decision effectiveness in decision-making process among lecturers in universities. You are therefore expected to indicate the extent you use MIS in evaluation of decision effectiveness in your university by ticking (√) in the column that best describes your opinion. Use the following codes: Very High Extent (VHE), High Extent (HE), Low Extent (LE) and Very Low Extent (VLE).

To What Extent Do You Use: Responses

VHE HE LE VLE 26 Computer in evaluating results so as to get feedback on how

well a decision is being implemented.

27 Word processing in evaluating in order to check for necessary adjustments in implementing a decision so as to get the desired result.

28 Electronic bulletin boards in assessing whether the correct alternatives were selected.

29 Electronic data interchange in evaluating whether a chosen decision is properly implemented.

30 Electronic mails in evaluating whether an implemented decision has been given enough time to be successful.

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Appendix III

Population of University Administrators in North Central States of Nigeria

Federal University

No of Adms.

No of Lecturers

State

Universities

No of Adms.

No of Lecturers University of

Jos, Jos

498 810 Benue State University, Markurdi

255 730

University of Agric,

Markurdi

208 540 Kogi State

University, Ayangba

225 650

University of Ilorin, Ilorin

398 750 Kwara State University, Ilorin

256 710

University of Technology, Minna

232 532 Nassarawa

State University, Keffi

250 580

Niger State University, Keffi

247 690

Plateau State University, Jos

237 712

Sub-Total 1336 2632 1470 4072

Grand Total 9510

Sources: Personnel Departments of the Various Universities January, 2012.

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Appendix IV

Sample Distribution of University Administrators in North Central States (30%)

Federal University

No of Adm

No of Lecturers

State

Universities

No of Adm

No of Lecturer University of

Jos, Jos

50 81 Benue State

University, Makudi

26 73

University of Agric,

Markurdi

21 54 Kogi State

University, Ayangba

23 65

University of Ilorin, Ilorin

40 75 Kwara State

University, Ilorin

26 71

University of Technology, Minna

23 53 Nassarawa

State University, Keffi

25 58

Niger State University, Keffi

25 69

Plateau State University, Jos

23 71

Sub-Total 134 263 143 407

Grand Total 952

Appendix V

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Experts’ Observations, Comments and Corrections

The experts in management and policy suggested the restructuring of items 1, 17, 18, 20, 25 and 30 of the original draft. Item 17 in the original draft as said to be ambiguous and therefore was restructured. The following items: 4, 5, 13, 19, and 24 were expunged from the original draft because they were said to ambiguous. The expert in educational administration suggested the use of personal pronouns for the items and the use of rating options instead of codes in the instructions. Similarly, the experts in management and policy suggested that the response options changed from (SA), (A), (D), and (SD) to ―VHE‖, (HE), (LE), (VLE) for part B while part C changed to VGE, GE, LE and VLE. Expert in measurement and evaluation suggested the restructuring of the topic from ―management information system and decision making process of university administrators as correlates of lecturers‘

attitude to work in north central Nigeria‖ to ‗analysis of management information system and lecturers‘ involvement in decision making process in universities in north central Nigeria‖.

The above suggestion led to a complete over hauling of the work.

The final instrument was submitted to the supervisor for approval.

Appendix VI

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Reliability of Instrument

THE CRONBACH‘S ALPHA RELIABILITY TEST FOR PART B 5 Variables: Item_1 Item_2 Item_3 Item_4 Item_5

Simple Statistics

Variable N Mean Std Dev Sum Minimum Maximum Label Item_1 30 3.43333 0.56832 103.00000 2.00000 4.00000 Item_1 Item_2 30 3.20000 0.55086 96.00000 2.00000 4.00000 Item_2 Item_3 30 3.66667 0.54667 110.00000 2.00000 4.00000 Item_3 Item_4 30 2.66667 0.71116 80.00000 2.00000 4.00000 Item_4 Item_5 30 2.63333 0.76489 79.00000 2.00000 4.00000 Item_5 Cronbach Coefficient Alpha

Variables Alpha Raw 0.856590 Standardized 0.841826

THE CRONBACH‘S ALPHA RELIABILITY TEST FOR PART C 5 Variables: Item_6 Item_7 Item_8 Item_9 Item_10

Simple Statistics

Variable N Mean Std Dev Sum Minimum Maximum Label

Item_6 30 2.63333 0.76489 79.00000 2.00000 4.00000 Item_6 Item_7 30 3.43333 0.56832 103.00000 2.00000 4.00000 Item_7

Item_8 30 3.20000 0.55086 96.00000 2.00000 4.00000 Item_8 Item_9 30 3.63333 0.55605 109.00000 2.00000 4.00000 Item_9 Item_10 30 3.56667 0.56832 107.00000 2.00000 4.00000 Item_10

Cronbach Coefficient Alpha Variable Alpha Raw 0.802017 Standardized 0.800014

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THE CRONBACH‘S ALPHA RELIABILITY TEST FOR PART D 5 Variables: Item_11 Item_12 Item_13 Item_14 Item_15.

Simple Statistics

Variable N Mean Std Dev Sum Minimum Maximum Label

Item_11 30 2.63333 0.61495 79.00000 2.00000 4.00000 Item_11 Item_12 30 2.63333 0.61495 79.00000 2.00000 4.00000 Item_11 Item_13 30 3.43333 0.56832 103.00000 2.00000 4.00000 Item_13 Item_14 30 3.20000 0.55086 96.00000 2.00000 4.00000 Item_14 Item_15 30 3.66667 0.54667 110.00000 2.00000 4.00000 Item_15

Cronbach Coefficient Alpha Variable Alpha Raw 0.802017 Standardized 0.810014

THE CRONBACH‘S ALPHA RELIABILITY TEST FOR PART E 5 Variables: Item_16 Item_17 Item_18 Item_19 Item_20 .

Simple Statistics

Variable N Mean Std Dev Sum Minimum Maximum Label

Item_16 30 3.66667 0.54667 110.00000 2.00000 4.00000 Item_16 Item_17 30 3.66667 0.54667 110.00000 2.00000 4.00000 Item_17 Item_18 30 3.66667 0.54667 110.00000 2.00000 4.00000 Item_18 Item_19 30 3.66667 0.54667 110.00000 2.00000 4.00000 Item_19 Item_20 30 3.66667 0.54667 110.00000 2.00000 4.00000 Item_20

Cronbach Coefficient Alpha Variable Alpha Raw 0.802017 Standardized 0.820014