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Developing	a	Scale	to	Measure	the	Trend	in	Millet	Farming	and	Attitude	of	
Farmers	towards	Millet	Cultivation

P. Jaisridhar1 and P. Parasuraman2

ABSTRACT
	 In	the	recent	years	concern	for	millets	has	been	on	the	rise.	Sources	had	shown	that	there	is	
an	existence	of	valid	linkage	between	millets	and	poverty	reduction.	A	study	was	designed	to	develop	
a	scale	to	measure	the	current	trend	in	millet	farming	and	changing	attitude	of	farmers	towards	millet	
cultivation.	The	study	was	conducted	in	Tiruvannamalai	and	Vellore	Districts	of	Tamil	Nadu.	Twenty	
statements	reflecting	the	changing	trends	towards	millet	farming	were	generated.	Likert’s	method	was	
employed	in	the	scale	construction	and	the	final	scale	comprising	10	statements	was	standardized.

Keywords: Millet	farming;	Scale	construction;	Likert’s	method;	Item	analysis;	Reliability;	Validity;	Tamil	
Nadu.

1. Assistant Professor (Agrl. Extension), and 2. Professor & Head, Centre of Excellence in Millets(TNAU), Athiyandal, 
Tiruvannamalai – 606 603

 One of the historically under 
emphasized areas within agriculture is 
rainfed agriculture. Despite India’s significant 
investments in irrigation, around 60 percent 
of total area remains rainfed, responsible for 
about 40 percent of national food supply 
(Season and Crop Report, 2012). Given 
the physical and institutional limits to the 
indefinite spread of irrigated systems, rainfed 
farming will remain a central and conspicuous 
feature of the national agricultural landscape. 
Despite its importance, some of the areas 
requiring attention in rainfed farming are lack 
of reach of improved methods of production 
and technologies like improved varieties to 
small millet farmers, lack of organized seed 
distribution mechanism to supply good quality 
seeds for small millet crops in accordance with 

farmers preferences, lack of appropriate post-
harvest processing technologies for small 
millets except finger millets, competition from 
other market friendly remunerative crops, lack 
of public procurement and marketing support 
and lack of available information primarily 
about small millets, which reduces the 
ability to introduce policy measures (DHAN 
Foundation, 2012). 

 To promote millet research, the Tamil 
Nadu Agricultural University had establishied 
the Centre of Excellence in Millets at 
Tiruvannamalai District of Tamil Nadu. The 
institute has been functioning since 2014 
and it was felt that it would be the right time 
to focus on the attitude of millet growing 
farmers of Tiruvannamalai and the adjacent 
Vellore Districts towards current trends in 

Research	Note
Journal of Extension Education
Vol. 31  No. 1,  2019
DOI:https://doi.org/10.26725/JEE.2019.1.31.6249-6254

Received : 19-04-2018; Accepted : 28-01-2019



6250

farming and changing attitude towards millet 
cultivation. Moreover, millet cultivation is 
declining due to several reasons few of which 
are processing hardship, low economic gains 
and lack of awareness about nutritional 
significance. Hence in view of these facts, 
a study was undertaken to develop a scale 
to measure the current trend in farming and 
changing attitude of farmers towards millet 
cultivation. 

METHODOLOGY

 The research was undertaken in the 
state of Tamil Nadu and Tiruvannamalai & 
Vellore Districts were selected purposively 
for the study due to the growing awareness 
on millets among farmers of these district 
and willingness shown by farmers in acquiring 
tips on new cultivation practices in millets. 
To have representative sample of millet 
growing areas of Tiruvannamalai and Vellore 
districts, three blocks from each district viz.,	
Chengam, Thandrampattu and Jamunamuthur 
blocks of Tiruvannamalai district & Jolarpet, 
Gudiyatham & K.V. Kuppam blocks of Vellore 
district were purposively selected, having the 
highest millet cultivation area. 

 A total of 30 respondents for item 
analysis and 30 for testing reliability were 
selected based on the production of millets 
in various blocks. It was ensured that the 
thirty farmers selected for item analysis were 
removed from their respective lists before the 
selection of thirty farmers for testing reliability. 

Thus the total number of farmers respondents 
selected for the scale construction was 60.

 Likert’s method was employed in the 
construction of the attitude scale. The relevant 
items covering the universe of content in the 
measurement of changing trend towards 
millet farming were collected by extensive 
review of literature and discussion made with 
experts in the concerned field. A total of 50 
statements reflecting the attitude of the 
respondents towards changing trend towards 
millet farming were generated. The statements 
were then edited using the criteria suggested 
by Edwards (1969) and finally 20 statements 
were retained after deleting ambiguous, 
irrelevant and non-conforming statements as 
per the above said criteria. 

 The relevancy of the items generated 
was established by sending these statements 
to 58 judges with appropriate instructions. 
The judges comprised experts in the field 
from agricultural universities across South 
India. The experts were to rate the degree 
of relevancy of each items in measuring 
the indigenous wisdom orientation of the 
stakeholders on a five point continuum as 
‘Most Relevant’, ‘Relevant’, ‘Undecided’, ‘Less 
Relevant’ and ‘Not Relevant’ with scores of 5, 
4, 3, 2 and 1 respectively. Out of 58 judges, 29 
responded within a time span of one month. 
The scores for each items were summated 
over all the respondents and a relevancy index 
was worked out using the formula :

Relevancy index =          X 100

   

Actual score obtained for each statement

Maximum possible score obtained by each statement

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6251

 Those items, which secured a relevancy 
index of 49 and above were finally selected, 
thereby retaining 15 items to be included in 
the scale. Item analysis was performed for the 
statements selected and was standardized by 
testing its validity and reliability. Item analysis 
is a set of procedures that are applied to 
know the indices for truthfulness (or validity) 
of the items in a scale (Singh, 2006). The 
15 items selected based on the relevancy 
rating by the judges were administered to 
30 farmers and the responses were obtained 
on a five-point continuum (‘Most Relevant’, 
‘Relevant’, ‘Undecided’, ‘Less Relevant’ and 
‘Not Relevant’). For carrying out item analysis, 
two types of scores were used. These were 
the item score, referring to the score of an 
individual on a particular item and the total 
score referring to the summation of the item 
scores of an individual. These scores were 
used to arrive at the discrimination index and 
the item score total correlation. The index of 
discrimination indicates the power of an item 
to discriminate the low effectiveness category 
of the respondents. Following the suggestion 
of Edwards (1957), 25% of subjects with high 
total score and 25% of subjects with lowest 
total score were selected. The critical ratio 
(t-value) of each item was calculated using the 
formula

  t =     

          

Where,

 XH – Mean score on a given statement 
with high group

 XL  - Mean score on same statement 
with low group

 S2H – Variance of distribution of 
response of high group

 S2L – Variance of distribution of 
response of low group

 nH – Number of subject in high group

 nL – Number of subject in low group

 In item score-total score correlation, 
the correlation between the individual item 
score and total score is computed as a measure 
of the discriminatory power of the items.

 The scale developed was standardized 
by testing its reliability and validity. The 
reliability of the scale refers to consistency of 
test scores obtained by the same individual on 
different occasions or with different sets of 
equivalent forms. Split-half reliability was used 
in the present study using odd-even method. 
The scale developed was administered to 
30 respondents and their responses were 
collected. The scores obtained for all the odd 
items and all even items were pooled. The two 
sets of scores thus obtained were correlated 
using Pearson’s product moment correlation. 
The reliability of the full test was obtained 
using the formula:

 

S2H       S
2

L
        +
nH       nL

√
  XH  - XL

2 x Reliability of the ½ test

1 + Reliability of the ½ test 

Reliability of  
the full test =

Developing a Scale to Measure the Trend in Millet Farming and Attitude of Farmers towards Millet Cultivation



6252

FINDINGS	AND	DISCUSSION

 The results of the study have been 
presented in this section on t-value and 
r-value of the statements, standardization of 
the scale and administration of the scale. The 
discrimination index and the item score total 
score correlation of the 15 items performed 
are presented in Table 1. It could be observed 
that the calculated ‘t’value were found to 
be distributed between 1.98 and 4.34. After 
computing the ‘t’value for all the items, 
statements equal to or greater than 1.96 at 
1% level of significance were chosen for the 
final scale.

Standardization	of	Scale	 	 	

 A scale should measure what it intends 
to measure and it should be consistent in 
its measurement. A scale thus has to be 
standardized before it is administered. The 

Table	1.	 
Item Analysis

Sl. 
No.

Statements
‘r’

value
‘t’

value
1 Millets play a supportive role in marginal agriculture* 0.362 3.00

2 Millet based food and beverages are not preferred by many across the 
country* 0.523 4.34

3 Millets are cheaper in market making easy access of purchase by 
everyone* 0.393 4.13

4 Since millets are locally cultivated, the grains are readily available for 
the farmers 0.100 1.40

5 Over the last few years, there is an increasing recognition of millets in 
their favorable nutrient consumption and benefits as health foods* 0.306 1.98

6 Public Distribution System does not procure or distribute millets 
and due to this below poverty line people do not have awareness on 
millets. 

0.277 3.90

present scale developed was also standardized 
by verifying its reliability and validity.

Reliability	of	the	Scale
 The correlation co-efficient (r = 0.437) 
for the half test was obtained. The reliability 
of the full test was found to be 0.493, which 
indicates appreciable reliability of the scale.

Validity of the scale

 Determination of content validity 
essentially involves the systematic 
examination of the test content to determine 
whether it covers a representative sample of 
the behavior domain being measured. Care 
was taken to include the important items 
covering the universe of content with respect 
to current trend in farming and changing  
attitude of farmers towards millet cultivation 
thereby satisfying the content validity 
criterion.

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6253

Administration	of	the	Scale

 The final scale consisting of 10 
statements in random order can be presented 
to respondents to indicate their response on a 
three point scale consisting of Agree, Neutral 
and Disagree with scores 3, 2, and 1 respectively 
for positive statements and reverse score for 
negative statements. The total score for all the 
statement of each respondent can be worked 
out and categorized into ‘high’, ‘medium’ and 
‘low’ attitude to changing trends towards 

millet farming on the obtained scores.

 The scale developed to measure 
the attitude of millet farmers would serve 
to quantify the orientation level of farmers 
towards changing trend in farming and the 
data so obtained could be replicated elsewhere 
to understand the current trend and changing 
attitude of farmers towards millet cultivation 
which in turn will help in formulating strategies 
for encouraging conservation / sustainable 
farming.

Sl. 
No.

Statements
‘r’

value
‘t’

value
7 Millets being drought tolerant when promoted, the utility of land will 

be boosted to many folds* 0.396 2.93

8 Millets’ value addition is the main focus of urban market 0.123 1.35

9 Involving millet farmers in state planning will help bring better change 
in state’s agriculture.* 0.131 2.97

10 Lack of modern technology for effective millet processing and 
utilization is an important reason in decline of millets* 0.356 2.00

11 Considering the views of millet famers in the planning process will 
help bring a change in state agriculture policies 0.103 1.65

12 Value added product in millets mostly focus on urban market than 
rural market due to the margin they fix for millet value added 
products*

0.148 3.18

13 Improved seed production technologies in millets through block 
demonstration may help create awareness on the importance of 
millets among farmers

0.070 1.10

14 Government should ensure access to appropriate millet seeds for farmers 
with financial support and subsidy for nutritious underutilized crops 0.081 1.74

15 Lack of awareness among farmers on environmental sustainability and 
nutritional health benefits of millets reduces its demand in present 
scenario*

0.284 2.80

*Statements	selected	to	construct	the	final	scale

Developing a Scale to Measure the Trend in Millet Farming and Attitude of Farmers towards Millet Cultivation



6254

REFERENCES
DHAN Foundation. (2012). Supporting	Millets	
in	 India,	 Policy	 Review	 and	 Suggestion	 for	
Action. Dhan Foundation, 11pp

Edwards, A. L. (1969). Techniques	of	Attitude	
Scale	Construction. Vakils, Feffer and Simons 
Pvt. Ltd., Bombay.

Season and Crop Report. (2012). Area,	
Production	 and	 Productivity	 of	 Millets. 
Department of Economics and Statistics, 
Chennai

Singh, A. K. (2006). Tests,	Measurements	and	
Research	 Methods	 in	 Behavioral	 Sciences. 
New Delhi: Bharti Bhawan Publishers and 
Distributors.

Journal of Extension Education