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    Journal of Rural Development 32(2): 111 1311 1 1

    M E A S U R E M E N T O F F A R M E R S A T T I T U D E

    T O W A R D S C O M P L E T E O W N E R S H I P O F

    F A R M L A N D I N E A S T E R N E T H I O P I A

    *

    N E G U S S I E S E M I E

    * *

    K A S S A B E L A Y

    * * *

    R A N J A N S . K A R I P P A I

    * * * *

    A Y A L N E H B O G A L E

    * * * * *

    K e y w o r d s

    a t t i t u d e s , f a r m e r s a t t i t u d e , L i k e r t s c a l e , i t e m g e n e r a t i o n a n d a n a l y s i s ,

    c o m p l e t e o w n e r s h i p o f f a r m l a n d

    A b s t r a c t

    T h e a i m o f t h i s s t u d y w a s d e v e l o p i n g a s c a l e w i t h w h i c h t o m e a s u r e

    f a r m e r s a t t i t u d e t o w a r d s c o m p l e t e o w n e r s h i p o f f a r m l a n d . T h e r e -

    s e a r c h s t a r t e d b y i d e n t i f y i n g 5 0 d i f f e r e n t s t a t e m e n t s b a s e d o n r e v i e w

    o f t h e e m p i r i c a l l i t e r a t u r e a n d i n f o r m a t i o n o b t a i n e d f r o m s t a k e h o l d e r s

    a n d e x p e r t s . O f t h e s e s t a t e m e n t s , 3 0 i t e m s w e r e s e l e c t e d a n d u l t i -

    m a t e l y o n l y 1 2 c o n s i s t e n t a n d r e l i a b l e s t a t e m e n t s w e r e r e t a i n e d f o r i n -

    c l u s i o n i n a f i v e p o i n t L i k e r t t y p e s c a l e . T h e 1 2 s t a t e m e n t s s c a l e w a s

    a d m i n i s t e r e d o n 3 3 5 r a n d o m l y s e l e c t e d s a m p l e f a r m e r s t o m e a s u r e

    t h e i r a t t i t u d e t o w a r d s c o m p l e t e o w n e r s h i p o f f a r m l a n d . T h e r e s u l t

    *

    C o m p l e t e o w n e r s h i p r e f e r s t o c o m p l e t e p r i v a t e o w n e r s h i p t h a t i n c l u d e s t h e f o l -

    l o w i n g : c o n t r o l l i n g t h e u s e o f f a r m l a n d a n d e x c l u d i n g o t h e r s f r o m u s i n g i t ; e n -

    j o y i n g b e n e f i t s o r i n c o m e s t h a t a r e d e r i v e d f r o m t h e u s e o f f a r m l a n d ; i m p r o v i n g

    t h e p r o d u c t i v i t y o f f a r m l a n d b y a l i e n a t i n g o t h e r s ; a n d t r a n s f e r r i n g l a n d ( t h r o u g h

    s e l l i n g a n d m o r t g a g i n g ) .

    * *

    P h . D . c a n d i d a t e i n A g r i c u l t u r a l E c o n o m i c s , H a r a m a y a U n i v e r s i t y , P . O . B o x 1 3 8 ,

    D i r e D a w a , E t h i o p i a .

    * * *

    C o r r e s p o n d i n g a u t h o r a n d P r o f e s s o r o f A g r i c u l t u r a l E c o n o m i c s , H a r a m a y a

    U n i v e r s i t y , P . O . B o x 1 3 8 , D i r e D a w a , E t h i o p i a .

    * * * *

    P r o f e s s o r o f A g r i c u l t u r a l E x t e n s i o n , H a r a m a y a U n i v e r s i t y , P . O . B o x 1 3 8 , D i r e

    D a w a , E t h i o p i a .

    * * * * *

    A s s o c i a t e P r o f e s s o r o f A g r i c u l t u r a l E c o n o m i c s , H a r a m a y a U n i v e r s i t y , P . O . B o x

    1 3 8 , D i r e D a w a , E t h i o p i a .

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    Journal of Rural Development 32(2)1 1 2

    s h o w s t h a t a b o u t 8 5 % a n d 9 % o f t h e r e s p o n d e n t s w e r e f a v o r i n g a n d

    d i s f a v o r i n g c o m p l e t e o w n e r s h i p o f f a r m l a n d , r e s p e c t i v e l y . O n l y 6 % o f

    t h e s a m p l e r e s p o n d e n t s w e r e u n d e c i d e d i n t e r m s o f t h e i r p r e f e r e n c e

    f o r t h e c o m p l e t e o w n e r s h i p o f f a r m l a n d . T h i s d e t a i l e d s t u d y t o g e t h e r

    w i t h s t r i c t f o l l o w - u p o f d a t a c o l l e c t i o n f r o m t h e s a m p l e r e s p o n d e n t s

    h a s b e e n e x t r e m e l y u s e f u l i n d e v e l o p i n g a r e l a t i v e l y c o n s i s t e n t t o o l t o

    m e a s u r e f a r m e r s a t t i t u d e . T h e r e f o r e , t h e 1 2 - i t e m f i v e p o i n t L i k e r t

    s c a l e c a n b e a p p l i c a b l e i n s i m i l a r s i t u a t i o n s o f E t h i o p i a i n p a r t i c u l a r ,

    a n d i n d e v e l o p i n g c o u n t r i e s i n g e n e r a l .

    1. Introduction

    Attitude implies that the individual is no longer neutral toward the referent psy-

    chological object. The person would be positively inclined or negatively dis-

    posed in some degree towards the referents (Campbell, 1963; Allport, 1966;

    Newcomb, 1966; Zanden, 1977; Burr, 2000). The response in this connection

    is a lasting one, as long as the attitude in question is operative. Attitude refers

    to an psychological individuals stands about objects, issues, persons, groups,

    or institutions.

    Attitude measurement is an approach of immense importance in a re-

    search that is concerned with farmers. It is assumed that when asked to provide

    information about their capital, income and output, farmers, in most conditions,

    are reluctant to deliver accurate information. In contrast, when they are asked

    to provide information regarding costs, whether that is subsistence or production

    cost, they tend to exaggerate information. Therefore, in order to prevent this

    problem of asymmetric information from occurring, it is advisable to apply atti-

    tudinal approach when researching farmers socio-economic aspects. That

    means, attitude is an important concept that can be used to understand and pre-

    dict peoples hidden reaction to an object or change. Particularly in developing

    countries, where subsistence farmers predominantly practice agriculture, extract-

    ing accurate information regarding farmers socio-economic conditions wouldbe imperative to formulate clearly informed development policy (Sherif et al.,

    1965; Cooper and McGaugh, 1966).

    This research was initiated to identify and construct a scale for study-

    ing farmers attitude towards property rights. More specifically, the aim of the

    research was to construct an attitude scale and confirm the applicability of the

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    M ea sure m en t of F ar m ers A tt it ude to w ard s C om ple te O w ner sh ip o f F arm la nd in E as te rn E th io p ia1 1 3

    constructed scale to assess the attitudes held by farmers towards complete own-

    ership of farmland in the study area.

    2. Methodology

    This section is devoted to the discussion of the structure and process of the

    research. This includes discussions about the attitude scale construction, site se-

    lection, sampling and data collection procedures as well as data analysis.

    2.1. Attitude Scale Construction and Items Analysis

    The primary purpose of this section is to discuss the construction of a scale

    that measures the farmers attitude towards complete ownership of farmland and

    indicate the application of the resulting attitude scale that gives the total scores

    of individual farmers to quantify their attitude towards complete ownership of

    farmland. Two important stages were followed in the scale development proc-

    ess: items or statements generation and item analysis.

    2.1.1. Items generation

    In 1932 Rensis Likert developed an appropriate and simple method of scale

    construction in his work A Technique for the Measurement of Attitudes,

    known as summated ratings. Likerts construction employed a series of state-

    ments, from extremely favorable to extremely unfavorable, to which the sub-

    jects were required to respond. The statements were administered to a group of

    subjects who were required to respond to each item in terms of degrees of

    agreement or disagreement. The results were then tabulated and scored from 1

    to 5, on a five-point continuum and totaled for each individual. This is the firstand starting point in scale construction (Young, 1958; Sherif et al., 1965; Burr,

    2000; Page-Bucci, 2003; Boome and Gartin, 2007).

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    Journal of Rural Development 32(2)1 1 4

    2.1.2. Item analysis

    This is the second stage of Likert-type scale construction. Here, there are twopossible techniques of item selection (item analysis). The first is following

    Edwards (1969) procedure. Edwards (1969) developed the following formula:

    L

    L

    H n

    S

    n

    S

    XXt

    H

    LH

    22

    +

    -=

    Where HX = the mean score on a given statement for the high group

    LX = the mean score on the same statement for the low groupSH

    2= the variance of the distribution of responses of the high group to

    the statement

    SL2= the variance of the distribution of responses of the low group to

    the statement

    nH = the number of subjects in the high group

    nL = the number of subjects in the low group

    The high and low groups were constituted by 25 percent of the total

    sample subjects who obtained the highest scores and 25 percent of the total

    sample subjects who obtained the lowest scores, respectively. The high and low

    groups were criterion groups to evaluate the individual statements (Edwards,1969).

    An important step in this procedure is to eliminate neutral statements

    so that each item perfectly discriminates between individuals with favorable and

    unfavorable attitudes. The value of t is a measure of the extent to which a

    given statement differentiates between the high and the low groups. As a crude

    and approximate rule of thumb, t value equal to or greater than 1.75 indicates

    that the average response of the high and low groups to a statement differs

    significantly. The required number of statements with high t value will con-

    stitute the attitude scale (Edwards, 1969).

    The second alternative approach also gives the same result and follows

    a similar procedure, but it minimizes complexity. Murphy and Likert (1937 cit-

    ed in Edwards, 1969) were the first authors who introduced the simplified

    procedure. Instead of t calculation, the second technique considers the differ-

    ence between the means of the high and low groups on the individual state-

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    M ea sure m en t of F ar m ers A tt it ude to w ard s C om ple te O w ner sh ip o f F arm la nd in E as te rn E th io p ia1 1 5

    ments as a basis for selecting the items desired for the scale.

    In this study, the procedures mentioned in Section 2.1.1 and the second

    alternative of item analysis (for its simplicity and convenience) were employed.Based on review of literature and discussion with stakeholders and ex-

    perts, 50 statements were constructed. They were then filtered to a list of 30

    items (of which half of them were worded to express positive attitude and the

    reminder to represent negative attitude), following the editing criteria suggested

    by Edwards (1969). It was assumed that the 30 statements uncover the implicit

    attitudes, which the farmers hold towards complete ownership of farmland.

    Finally, the statements were administered to 50 farmers purposively selected

    from Deder, Tullo and Chiro districts1. Each farmer responded to the 30 state-

    ments on a five-point Likert scale ranging from strongly agree to strongly

    disagree.

    Simple weightages (1 to 5) were assigned to the response categories

    based on the favorableness and unfavorableness of the items. For favorable

    (positive) statements, the strongly agree response was given a weight of 5, the

    agree, undecided, disagree and strongly disagree were given values of 4, 3, 2

    and 1, respectively. In the case of unfavorable (negative) statements, the reverse

    scoring was done. After that, the responses of the farmers were collated and

    the 30 statements were revisited. Three of the items were found to be redundant

    and, as a result, eliminated before passing to the second stage. Then, 27 state-

    ments were forwarded for item analysis.

    Accordingly, all the respondents with their corresponding total score

    gained from 27 statements were listed in descending order. That is from the

    highest to the least score. Generally, 25% respondents from the highest scores

    and 25% from the lowest scores (totally 26) were selected. The middle 24 re-

    spondents, about 50%, were eliminated. Then, for each statement, the mean

    scores were calculated for the high group as well as for the low group (criterion

    groups). After this, the difference in mean between the high and low groups

    for each statement were calculated. Next to that, the statements were listed se-

    1

    W i t h t h e c h a n g e i n g o v e r n m e n t i n 1 9 9 1 , t h e c o u n t r y w a s r e - o r g a n i z e d i n t o 9

    s e m i - a u t o n o m o u s e t h n i c a l l y - b a s e d r e g i o n a l s t a t e s , o n e f e d e r a l c a p i t a l ( A d d i s A b a b a )

    a n d o n e s p e c i a l a d m i n i s t r a t i v e d i v i s i o n ( D i r e D a w a ) . A c c o r d i n g t o t h e a d m i n -

    i s t r a t i v e h i e r a r c h y o f t h e E t h i o p i a n F e d e r a l D e m o c r a t i c R e p u b l i c , t h e r e g i o n a l s t a t e s

    a r e d i v i d e d i n t o z o n e s , W o r e d a s o r d i s t r i c t s a n d K e b e l e s i n u r b a n a r e a s o r p e a s a n t

    a s s o c i a t i o n s i n r u r a l a r e a s ( l o c a l a d m i n i s t r a t i o n u n i t s ) i n t h a t o r d e r .

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    Journal of Rural Development 32(2)1 1 6

    quentially from the highest to the lowest mean difference. Based on the deci-

    sion criterion of a cut off point of 1.75, twelve statements consisting of both

    positive and negative statements were considered as the scale for measuringfarmers attitude towards complete ownership of farmland.

    2.2. Site Selection

    Eastern Ethiopia was purposively selected for its proximity and suitability to

    adequately accomplish the research. This part of the country comprises East and

    West Hararghe Zones of the Oromia National Regional State, the Harari People

    National Regional State, and the Somali National Regional State and the Dire

    Dawa Administration Council.

    As this paper deals with land ownership rights, it is important to high-

    light basic information about the land tenure system of the country so that read-

    ers would have a proper perspective for the subsequent discussions.

    Following the fall of the Imperial government, land became the prop-

    erty of the state in Ethiopia. The military regimes March 1975 land reform

    proclamation resulted in nationalization of all rural lands. The proclamation

    abolished private ownership of land through outlawing its sale, mortgaging,

    leasing or exchange. The proclamation, in addition, prohibited employment of

    tenants and farm labourers with exception to individual cases where, for exam-

    ple, old-age or illness makes this the only way to earn income. The current

    government (EPRDF) which has been in power since 1991 lifted all restrictions

    except land sale and mortgaging. Regarding rural land ownership rights, the

    current government has maintained the socialist governments policies.

    Currently, the ownership of land in Ethiopia, as specified by the Law

    of the Land and the Constitution, belongs to the state (Proclamation No. 1/1995,

    Article 40, No.3). However, any Ethiopian who wants to earn a living by farm-

    ing has a right to obtain the use of land without payment (Proclamation No.

    1/1995, Article 40, No.4). The rules, regulations or policies of the Federal andRegional Governments are in harmony with the fundamental issues of state

    ownership of farmland as stated in the Constitution. It must also be noted that

    the Federal Land Administration Law (Rural Land Administration Proclamation,

    No. 89/1997) was enacted in July 1997. The law in question states that farmers

    with use-right of farmland have the right to donate or bequeath the use-right

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    M ea sure m en t of F ar m ers A tt it ude to w ard s C om ple te O w ner sh ip o f F arm la nd in E as te rn E th io p ia1 1 7

    to their family members. Private investors in agriculture, governmental,

    non-governmental organizations (NGOs) and socio-economic institutions have

    the right to use rural land through a lease arrangement. Lease rights can beused as a collateral to borrow money from banks. There is no restriction on

    the duration of rural land use-rights. However, eviction of a user-right holder

    by the Government is possible with appropriate compensation (which is equiv-

    alent to the wealth invested on the plot of farm) when the land in question is

    needed for purposes that benefit communities or the country at large.

    It seems that the EPRDF government has realized the existence of land

    tenure insecurity resulting from state ownership of rural lands. In this con-

    nection, the government has put in place a system of issuance of certificate of

    user rights as a means to help to reduce the degree of tenure insecurity. More

    precisely, the official government document (MOFED, 2002) notes, In order

    to protect the user rights of farmers, their land holdings should be registered

    and provided with certificate of user rights. In this regard, a guarantee may

    be given to the effect that land will not be re-divided for a period ranging from

    20-30 years.

    Some regional states have already started implementing this aspect of

    the land use policy and the policy is a step in the right direction (Berhanu

    et.al., 2005; Deininger et.al., 2007). This needs to be further strengthened, how-

    ever, in regional states that have already started implementing the policy.

    Similarly, the feasibility introducing the policy in the rest of the regions should

    be explored.

    The issuance of certificate of user rights seems to be a half-hearted at-

    tempt of addressing the land tenure insecurity in that land is state-owned and

    it would not help address the problem of reduced sense of ownership resulting

    from farmers expectations of future land redistribution (Belay, 2003; Action

    Aid Ethiopia, 2006; Samuel, 2006).

    The current research focuses first on assessing the compliance of the

    12 statements of the five-point Likert scale with respect to its consistency, reli-

    ability and applicability. Then, the attitude of peasants towards the existing landproperty rights is taken as a ground for the test. The scale was also evaluated

    in terms of farmers attitude towards complete ownership of farmland in two

    groups. These are certified groups (households that received farmland use-right

    certificate) and uncertified groups. Towards this end, areas that satisfy this con-

    dition were taken into account (see the Figure that follows). The Deder, Tullo

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    Journal of Rural Development 32(2)1 1 8

    and Chiro districts were selected as the study areas for they are the only dis-

    tricts that have started user right certification.

    F I G U R E . S t u d y a r e a s

    Study Districts

    BALE

    SOMALI

    REGIONAL

    STATE

    CHIRO

    H A R I R I

    S T A T EH A R A R

    EAST HARARGHE

    N

    DIRE DAWA CITY

    ADMINISTRARAT

    Study Zones

    Deder

    Chiro

    Tullo

    WEST

    HARARGHE

    AFAR

    REGIONAL

    STATE

    ARSI

    OROMIA

    REGIONALSTATE

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    M ea sure m en t of F ar m ers A tt it ude to w ard s C om ple te O w ner sh ip o f F arm la nd in E as te rn E th io p ia1 1 9

    2.3. Sample Size & Sampling design

    The 12 items five point Likert scale was applied to assess farmers attitudestowards complete ownership of farmland. For this purpose, kebeles that have

    at least started issuing land use-right certificate were listed in their respective

    Woredas. From the list, eight kebeles2 (Lemen Weltaha, Cheffee Gurmu, Mito,

    Hundie Misioma, Hundie Lafto, Cheffee, Nejebas and Weltane) were then

    drawn randomly from the three Woredas in proportion to the number of kebeles

    in each Woreda. After this, 130 certified households and 220 uncertified house-

    holds were randomly selected in proportion to the size of households in each

    kebele with respect to certification status. In aggregate, 350 sample households

    were drawn and 15 of them were found to be absent in three calls or failed

    to appear for the survey. Ultimately, the data required for the study was gath-

    ered from 335 (123 certified and 221 uncertified) sample respondents.

    2.4. Data Collection Process

    A structured interview was prepared to gather data regarding the attitudes which

    the farmers hold towards land ownership. After pre-test and necessary adjust-

    ments, the structured interview was conducted by five well-experienced, trained

    and skilled interviewers. To supplement the primary data, relevant secondary

    data about land ownership problems and practices were gathered from the

    Oromia Agricultural Bureau, Agricultural Offices of two study Zones and the

    Rural Development and Agricultural Offices of three study districts.

    2.5. Profile of the Sample Respondents

    The data was collected in 2005/06 and took entirely 60 days in three rounds.

    Two zones (East and West Hararghe zones of the Oromia Regional State), threeWoredas and 96 villages of eight rural Kebeles were covered during the data

    collection.

    2

    e b e l e i s t h e l o w e s t a n d b a s i c ( 1

    s t

    ) l e v e l o f g o v e r n m e n t a d m i n i s t r a t i v e a r e a .

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    Journal of Rural Development 32(2)1 2 0

    The respondents were composed of 209 males and 26 females. A fur-

    ther observation of sex of the household heads reveals that the reason for a fe-

    male-headed household is not economic empowerment, but due to non-econom-ic factors. Of the total female household heads, were divorced, 16 widowed, six

    had incapacitated husbands and the remaining one had a husband engaged in

    religious teaching.

    The age of the household heads ranged from 19 to 80 years and the

    average age was 36 years old. Their highest educational level was grade 10.

    The respondents average experience in farming activity was 24 years with

    great disparity among household heads ranging from three to 60 years of

    experience. In terms of age, the majority of family members (53%) constituted

    less than 15 years of age followed by 31% with age between 15 and 35 years

    and 14% between 35 and 60 years old, and the remaining 2% were older than

    60 years.

    Grade 2 was the average educational level among the respondents

    families. About 14% of the respondents family members were below school

    age, about 40% illiterates, and approximately 36% range from basic reading and

    writing to grade five. About 7% and 3% of the family members of the re-

    spondents had educational levels of 6-8 and 9-12 grades, respectively.

    An inquiry into the farmland acquisition of the respondents revealed

    that inheritance dominates (83%) followed by acquisition from land-redis-

    tribution (6%) and, insignificantly, by purchase (1%). The average landholding

    of the respondents was 0.59 hectare. The maximum and minimum farmland

    sizes per household were 1.42 and 0.13 hectares, respectively. Regarding fertil-

    ity of farmland, 33% of the sample farmers pointed out that their lands were

    fertile. About 56% of them rated their lands as moderately fertile while the re-

    maining 11% considered their lands as infertile. The slope of respondents

    farmland could be characterized as steep, moderate or flat. About 15% of the

    parcels were categorized to be flat while 49% and 36% of them were catego-

    rized to be moderate and steep slopes, respectively.

    2.6. Analytical Methods

    In this section, the attitude scale (12 statements) concerning the farmers atti-

    tudes towards complete ownership of farmland and a conventional statistical de-

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    M ea sure m en t of F ar m ers A tt it ude to w ard s C om ple te O w ner sh ip o f F arm la nd in E as te rn E th io p ia1 2 1

    scriptive method of analysis were employed. Farmers attitudes towards com-

    plete ownership of farmland may not always emerge on the surface and be

    readily open to inspection due to political, social and other factors. Farmerscould show themselves in a variety of non-conscious, but very specific ways

    (McArthur, 1983). Therefore, the commonly used five-point Likert scale was

    employed to analyze the extent to which the farmers have favorable or un-

    favorable attitudes toward a complete ownership of farmland. This scaling

    method has been preferred because of its easiness to construct, administer and

    as it is sufficient enough to yield similar results as does the more laboriously

    constructed scale (Kerlinger, 1965; Hileyesus, 1995; Burr, 2000; Cummins and

    Gullone, 2000; Zikmund, 2000; Cozby, 2001; Fakoya et al., 2007).

    Attitudinal scores with respect to the scale (all the 12 statements to-

    gether) were first calculated. Then, the percentage and means were calculated

    to discuss the attitudes which farmers hold towards complete ownership of

    farmland. In what follows the methods used for reliability analysis and content

    validity are discussed.

    Reliability Analysis

    Reliability analysis allows to study the properties of measurement scales and

    the items that make them up. The reliability analysis procedure calculates a

    number of commonly used measures of scale reliability and also provides in-

    formation about the relationships between individual items in the scale. Alpha

    (Cronbach) is one of the most frequently used reliability analysis measures. It

    measures internal consistency based on the average inter-item correlation

    (Hatcher, 1994). In this study, Cronbachs alpha value is used to see the con-

    sistency of the scale developed to measure the attitudes of farmers towards

    complete ownership of farmland. The Alpha coefficients range in value from

    0 to 1 and are used to describe the reliability of factors extracted from the mul-

    ti-point formatted statements (i.e., rating scale: 1=strongly disagree, 5=strongly

    agree to complete ownership of farmland). According to Nunnaly (1978), thehigher the score, the more reliable the generated scale is. The same author not-

    ed that 0.7 could be taken as an acceptable reliability coefficient. The formula

    used to calculate Cronbachs is as follows

    -

    -= =

    N

    i

    X

    Yi

    N

    N

    1 2

    2

    11 s

    s

    a where N is the

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    Journal of Rural Development 32(2)1 2 2

    number of components (items),2

    Xs is the variance of the observed total test

    scores, and2

    iYs is the variance of component i.

    Alternatively, the standardized Cronbachs can also be calculated

    )*)1((

    *

    cNv

    cN

    -+

    =a

    where N is the number of components (items), _

    equals the average variance

    and c_

    is the average of all covariances between the components

    Content Validity

    One widely used method of measuring content validity was developed by C.

    H. Lawshe. It is essentially a method for gauging agreement among raters or

    judges regarding how essential a particular item is. According to Lawshe

    (1975), if more than half the panelists indicate that an item is essential, that

    item has at least some content validity. Greater levels of content validity exist

    as larger numbers of panelists agree that a particular item is essential. Using

    these assumptions, Lawshe developed a formula termed the content validity ra-

    tio:

    CVR = (ne - N/2)/(N/2)

    CVR=content validity ratio, ne=number of SME panelists indicating essential,N=total number of SME panelists. This formula yields values which range from

    +1 to -1; positive values indicate that at least half the SMEs rated the item as

    essential. The mean CVR across items may be used as an indicator of overall

    test content validity.

    3. Results and Discussion

    This section is intended to discuss the process and the resulting attitude scale.

    Moreover, the result of the application of attitude scale on farmers attitude to-

    wards complete ownership of farmland would be discussed here.

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    M ea sure m en t of F ar m ers A tt it ude to w ard s C om ple te O w ner sh ip o f F arm la nd in E as te rn E th io p ia1 2 3

    3.1. Generation of Attitude Scale

    Following the procedure discussed earlier, a 12-statement 5-point Likert scalewas developed (see Tables 1 and 2).

    The first 12 statements with the highest mean difference ( 1.75)

    were selected as suggested by Murphy and Likert (1937, cited in Edwards,

    1969). The composite of positive and negative items were selected to maintain

    the consistency of the respondents in answering the statements. The total score

    obtained by summing up these 12 items reveals the farmers attitudes towards

    complete ownership of farmland.

    T A B L E 1 . D e f i n i t i o n s o f a b b r e v i a t i o n s o f t h e a t t i t u d e s c a l e i t e m s

    A b b re v ia tio n s S c a le i te m s (s ta te m e n ts )

    S T F A T ( + ) S in ce th e fa rm l an d is go v er nm e n t p ro p er ty , s ta te m a y ta ke it a t a n y t im e .

    O A L T E F ( + )I f I a m a w a y f o r a n y o f f - f a r m a c t i v i t y , I a m a f r a i d t h a t s t a t e w i l l

    e x p r o p r i a t e t h e f a r m l a n d .

    C O H M F ( + )I b e l i e v e t h a t c o m p l e t e o w n e r s h i p w i l l h e l p t o m o r t g a g e f a r m l a n d , b o r r o w

    m o n e y f o r i n v e s t m e n t , a n d i m p r o v e p e a s a n t l i f e .

    I D D L T S ( + )I d i s l i k e t h e f o r m e r m i l i t a r y g o v e r n m e n t s l a n d t e n u r e s y s t e m b e c a u s e i t

    w a s d e n y i n g c o m p l e t e o w n e r s h i p o f f a r m l a n d .

    F F O H O H ( + ) I t h i n k c o m p l e t e o w n e r s h i p o f f a r m l a n d h e l p s t o o v e r c o m e m y e x t r e m eh a r d s h i p

    I D N F T I H P L ( + ) L a n d i s s ta te o w n e d , h e nc e I d o n' t f ee l th a t I h a v e p o w e r o n it .

    N N F O IU R G ( )T h e r e i s n o n e e d o f c o m p l e t e o w n e r s h i p , i f l a n d u s e r i g h t c e r t i f i c a t e i s

    g i v e n t o m e .

    C F O I N G D ( )C o m p l e t e o w n e r s h i p o f f a r m l a n d i s n o t a b i g d e a l t o m e a s l o n g a s I u s e

    t h e l a n d .

    S E C ( )I t h i n k c o m p l e t e o w n e r s h i p o f f a r m l a n d b r i n g s a b o u t s o c i a l a n d e c o n o m i c

    cr i s i s .

    P L T L F (

    )I f l a n d i s p r i v a t i z e d a n d i t s t r a n s a c t i o n i s a l l o w e d , t h e n p e a s a n t s m a y l o s e

    t h e i r f a r m l a n d s f o r v a r i o u s r e a s o n s .

    I D N W F O ( )I d o n o t w a n t t o h e a r a b o u t c o m p l e t e o w n e r s h i p o f f a r m l a n d , a s i t b r i n g s

    n o t h i n g n e w .

    P E P ( )I t h i n k t h e r e a r e p e o p l e w h o a r e r e a d y t o b u y f a r m l a n d , e v i c t t h e p e a s a n t

    a n d m a k e h i m s u f f e r m o r e , i f l a n d i s p r i v a t i z e d .

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    Journal of Rural Development 32(2)1 2 4

    As can be observed from Tables 1 and 2, among the 12 statements, a

    half are negatively worded to represent the expression of unfavorable attitude

    towards complete ownership of farmland, whereas the remaining six are wordedto accommodate favorable attitudes. This will help avoid the bias and improve

    reliability as anyone who answers agree all the time will appear to answer

    consistently (Edwards, 1969).

    The high criterion group contains 25% of all the respondents who scor-

    ed high for the 12 statements. On the other hand, the low criterion group com-

    prises 25% of all the respondents who scored low for the 12 statements. The

    mean of each group and mean difference between the two groups are calculated

    as summarized in Table 2.

    T A B L E 2 . A t t i t u d e s c a l e i t e m s w i t h m e a n d i f f e r e n c e s b e t w e e n c r i t e r i o n g r o u p s

    S ta te m e n t C o d e H ig h G ro u p M e a n L o w G ro u p M e a n M e a n d if fe re n c e

    P E P 4 .3 1 1 .8 5 2 .4 6

    C O H M F + 4 .1 5 1 .7 7 2 .3 8

    P L T L F 3 .2 3 1 .0 0 2 .2 3

    C F O I N G D 3 .5 4 1 .4 6 2 .0 8

    ID D L T S + 3 .1 5 1 .0 8 2 .0 7

    O A L T E F + 3 .3 8 1 .3 8 2 .0 0

    I D N W F O

    3 .3 1 1 .4 6 1 .8 5F F O H O H + 3 .6 2 1 .7 7 1 .8 5

    S E C 3 .3 8 1 .5 4 1 .8 4

    S T F A T + 2 .9 2 1 .1 5 1 .7 7

    N N F O IU R G 3 .2 3 1 .4 6 1 .7 7

    ID N F T IH P L + 3 .8 9 2 .1 4 1 .7 5

    The attitude scale was further verified by conducting a reliability test

    using Statistical Package for the Social Sciences (SPSS) version 12.0. The in-

    ternal consistency for the 12 items (Cronbachs Alpha

    which shows the scalereliability) was 0.94 and showed that this final version, 12 five-point Likert

    items towards farmers attitude toward complete ownership of farmland, was

    highly reliable. The content validity of the scale was also established using ex-

    perts rating on all the selected items, with a high relevancy coefficient of 0.80.

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    M ea sure m en t of F ar m ers A tt it ude to w ard s C om ple te O w ner sh ip o f F arm la nd in E as te rn E th io p ia1 2 5

    3.2. Application of the Scale to Measure Farmers Attitude

    Each of the statements in the scale was given a weight of 1 to 5. The max-imum weight was given for strongly agree in the case of positive statements

    and for strongly disagree in the case of negative statements. Thus, the minimum

    total score would be 12, if a respondent scores 1 point for each of the 12 state-

    ments, while the maximum total score would be 60 if the respondent scores 5

    for each of the 12 items. The mean scores were then categorized into three:

    favorable attitude being the mean scores of greater than three, a category repre-

    senting undecided of mean scores of three, and unfavorable attitude category

    comprising mean scores of less than three. Moreover, the respondents were

    grouped into two (certified and uncertified) as mentioned in the methodology

    part of this paper.

    In the following paragraphs, therefore, results of the research would be

    discussed. As shown in Table 3, 285 (about 85%) of the respondents favoured

    complete ownership while 20 (about 6%) of them remained undecided. The re-

    maining 30 (about 9%) of them disagreed on complete ownership of farmland.

    T A B L E 3 . A t t i t u d e o f f a r m e r s t o w a r d s c o m p l e t e o w n e r s h i p o f f a r m l a n d ( N = 3 3 5 )

    C e r t i f i c a t i o n

    F a v o r a b l e

    ( m e a n s c o r e s > 3 )

    U n d e c i d e d

    ( m e a n s c o r e s = 3 )

    u n f a v o r a b l e

    ( m e a n s c o r e s < 3 )T o t a l

    F re q u e n c y % F re q u e n c y % F re q u e n c y % F re q u e n c y %

    U n c e rt i f ie d 1 8 9 5 6 .4 2 1 1 3 .2 8 1 2 3 .5 8 2 1 2 6 3 .2 8

    C e rt i f ie d 9 6 2 8 .6 6 9 2 .6 9 1 8 5 .3 7 1 2 3 3 6 .7 2

    T o ta l 2 8 5 8 5 .0 7 2 0 5 .9 7 3 0 8 .9 6 3 3 5 1 0 0 .0 0

    Among the 212 uncertified respondents, 189, 11, and 12 of them have

    favorable, neutral and unfavorable attitudes to complete ownership of farmland,

    respectively. On the other hand, among the respondents who had received cer-

    tification of user rights, 96, 9, and 18 of them had favorable, neutral and un-

    favorable attitudes to complete ownership of farmland, respectively.Table 4 below depicts the mean and standard deviations of the 12 scale

    statements.

    The mean of the statement COHMF, which was related to the use of

    complete ownership as collateral, is high (mean=4.02) when compared to the

    other items and distant from the average (3).

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    Journal of Rural Development 32(2)1 2 6

    This is followed by the statement IDNFTIHPL (mean=3.98). This item

    was found to be a strong indicator and it revealed that there were farmers who

    are skeptical about the current tenure system. The item strongly suggested thatthe farmers feel that they do not have power on their farmland.

    T A B L E 4 . M e a n & s t a n d a r d d e v i a t i o n s o f t h e a t t i t u d e s c a l e i t e m s ( N = 3 3 5 )

    M e a n S td . D e v ia t io n

    C O H M F 4 .0 2 1 .3 6 8

    C F O IN G D 3 .0 8 1 .0 7 5

    I D D L T S 3 .9 4 1 .1 3 5

    ID N W F O 3 .3 7 1 .1 0 5

    O A L T E F 3 .9 3 1 .0 9 8

    P L T L F 3 .7 0 1 .0 1 7

    S T F A T 3 .3 7 1 .1 0 8

    N N F O IU R G 3 .5 9 0 .9 2

    P E P 2 .8 3 1 .0 1 4

    F F O H O H 3 .7 6 0 .8 5 3

    S E C 2 .5 5 0 .8 4 6

    ID N F T IH P L 3 .9 8 1 .0 8 3

    F A T S U C o 4 2 .1 4 8 .9 4 5

    The third highest mean (3.94), i.e. I dislike the military governments

    land tenure system (IDDLTS) also reflects farmers positive attitude towards

    complete ownership of farmland as there is no significant difference between

    the former socialist and the current governments of Ethiopia regarding farmland

    ownership.

    On the other hand, the average weight of SEC, PEP and CFOINGD

    were the lowest among the 12 statements and all were negative. The low aver-

    age weights and the negative sign of these variables imply that farmers tend

    to support complete ownership of farmland. In general, the farmers attitude to-wards complete ownership of farmland was positive.

    The result can be further detailed by considering the 12 items. The

    statement Complete ownership helps mortgaging farmland (COHMF) is a fac-

    tor related to the borrowing of money for increasing production and pro-

    ductivity by availing the farmland as a collateral. Among the 335 households,

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    M ea sure m en t of F ar m ers A tt it ude to w ard s C om ple te O w ner sh ip o f F arm la nd in E as te rn E th io p ia1 2 7

    the majority (187) rated strongly agree to the item while 69 of them rated

    agree. Put together, these two levels of the scale constitute 76% of the

    respondents. Among the respondents, 45 and 28 disagreed and strongly dis-agreed with the statement, respectively. The remaining six persons abstained.

    Likewise, all the remaining 11 items can be explained in the same way.

    Table 5 below summarizes the respondents response categories to the 12

    statements.

    T A B L E 5 . D e g r e e o f r e s p o n s e s o f s a m p l e f a r m e r s t o t h e s c a l e i t e m s

    A g re e & S tro n g ly a g re e U n d e c id e d D isa g re e & St . d is a g re e

    S t r o n g l y

    a g r e e

    A g r e eT o t a l

    F r e q u e n c y

    %T o t a l

    F r e q u e n c y

    % D isa g re eS t r o n g l y

    d i s a g r e e

    T o t a l

    F r e q u e n c y

    %

    C O H M F 1 8 7 6 9 2 5 6 7 6 6 2 4 5 2 8 7 3 2 2

    C F O IN G D 2 4 8 7 1 1 1 3 3 8 2 2 4 1 2 1 2 1 1 4 2 4 2

    ID D L T S 1 2 4 1 3 8 2 6 2 7 8 1 5 4 4 6 1 2 5 8 1 7

    ID N W C F O 2 4 6 7 9 1 2 7 3 2 1 0 1 8 6 2 6 2 1 2 6 3

    O A L T E F 1 1 6 1 4 7 2 6 3 7 9 1 5 4 4 8 9 5 7 1 7

    P L T L F 1 8 3 8 5 6 1 7 1 5 4 2 1 8 4 6 2 6 4 7 9

    S T F A T 4 0 1 6 1 2 0 1 6 0 2 6 8 9 9 9 1 0 8 3 2

    N N F O IU R G 1 5 4 2 5 7 1 7 2 1 6 2 4 3 1 4 2 5 7 7 7

    P E P 1 2 1 6 1 1 7 3 5 2 4 2 1 3 1 1 2 8 1 2 0 3 6

    F F O H O H 3 4 2 4 1 2 7 5 8 2 9 3 4 8 3 5 1 1 5

    S E C 5 2 1 3 2 1 8 6 5 4 6 1 4 7 0 1 7 1 2 1

    ID N F T IH P L 1 3 3 1 1 7 2 5 0 7 5 3 7 1 1 4 2 6 4 8 1 4

    Correlation coefficients of items: The smallest, largest, and average in-

    ter-item correlations, the range and variance of inter-item correlations, and the

    ratio of the largest to the smallest inter-item correlations are presented in the

    following Table.

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    Journal of Rural Development 32(2)1 2 8

    T A B L E 6 . I n t e r - I t e m C o r r e l a t i o n M a t r i x

    F S P E S C S E O A P L F N D I U R P E P C O H M F N N F O I U R I D N W C F O I D D L T S F F O H O H I D N F T I H P

    F S P 1 . 0 0 0

    E S C . 5 9 9 1 . 0 0 0

    S E O A . 4 8 4 . 5 5 0 1 . 0 0 0

    P L F . 3 5 8 . 2 5 0 . 7 1 1 1 . 0 0 0

    N D I U R . 5 2 1 . 6 3 1 .6 6 0 .4 6 2 1 . 0 0 0

    P E P . 5 6 3 . 5 1 4 . 6 2 1 . 6 7 8 . 4 8 3 1 . 0 0 0

    C O H M F . 5 3 4 . 5 3 1 . 5 9 9 . 7 4 0 . 4 3 2 . 9 1 9 1 . 0 0 0

    N N F O I U R . 4 2 6 . 4 6 5 .6 6 3 .6 9 6 . 4 0 8 . 7 8 4 .7 6 3 1 . 0 0 0

    I D N W C F O . 6 0 6 . 6 5 4 . 7 0 8 . 3 7 4 . 6 4 6 . 4 9 3 . 4 7 8 . 5 1 5 1 . 0 0 0

    I D D L T S . 4 5 3 . 2 8 7 . 5 5 0 . 8 5 5 . 4 2 1 . 7 0 4 . 7 3 1 . 6 7 7 . 3 4 9 1 . 0 0 0

    F F O H O H . 3 6 5 . 4 1 8 . 7 1 2 . 8 2 5 . 4 5 4 . 6 3 0 . 7 4 7 . 7 7 6 . 4 1 9 . 6 1 7 1 . 0 0 0

    I D N F T I H P - . 0 4 5 . 0 8 9 . 0 0 3 . 2 7 9 - . 1 0 9 . 0 4 6 . 1 5 7 . 1 8 6 . 0 5 0 . 1 9 1 . 2 8 2 1 . 0 0 0

    4. Conclusions

    In general, farmers in developing countries are considered to be developmentactors in their respective places. Therefore, policy issues in general and agricul-

    tural policies in particular should not neglect farmers and instead use them as

    sourcesof information. However, in most cases, farmers in these countries are

    susceptible to moral hazards. They usually tend to be reluctant to provide accu-

    rate information regarding output, income, farm size, livestock number, etc

    mainly because they fear that providing accurate information about their pos-

    sessions would result in an increase in land tax and a loss of other benefits.

    In particular, inquiries related to land ownership which is politically tilted are

    sensitively considered in developing countries. In contrast, when farmers are

    asked to provide information concerning the costs they have incurred on their

    farming activities, they tend to report an exaggerated figure. It is, therefore, cru-

    cial to obtain accurate information from such farmers with the help of stand-

    ardized and indirect measurement tools. The standardized scale constructed in

    this study was meant to measure attitude indirectly and to make possible accu-

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    M ea sure m en t of F ar m ers A tt it ude to w ard s C om ple te O w ner sh ip o f F arm la nd in E as te rn E th io p ia1 2 9

    rate access to information about farmers agricultural input and output. Since

    attitude is a crucial element in human behavior, the scale developed in this con-

    nection would help government or any other stakeholders in designing behav-ioral interventions in the rural area.

    Moreover, the scale is found to be reliable and consistent to be ad-

    ministered on sensitive issues like farmland ownership within the Ethiopian

    farmers. Further, the scale was administered and tested on a sample of 335

    farmers in the study area in which the farmers attitude levels to complete own-

    ership of farmland were measured. The study strongly suggested that a large

    majority of farmers favor complete ownership of the farmlands they work on.

    This standardized scale can be applied in wider areas with similar sit-

    uations to analyze farmers attitude towards farmland ownership. In addition,

    the procedure used in this study can be followed to construct a variety of atti-

    tude scales on sensitive issues in farming as well as other similar communities.

    Acknowledgements

    The authors sincerely thank the management of the Haramaya University for

    providing financial support to undertake this research. Moreover, the authors

    highly appreciate the sample farmers and public authorities for the unreserved

    and wholehearted cooperation they had shown during the data collection

    process.

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