statistics geometric probability distribution

A questionnaire is a form containing a set of questions, which are filled by the respondents. According to Goode Hatt,

“In general, the questionnaire refers to a device for securing answers to questions by using a form which the respondent fills in himself.”

The objective of a questionnaire is twofold:

  • To collect information from respondent scattered in a wide area.
  • To achieve success in collecting reliable and dependable information in a short span of time.


Designing of questionnaire is an art rather than a science. It is an effort of compiling a set of questions by repeatedly checking out for errors, of learning what to avoid and what to include. However a basic design strategy can be e developed. The designing of questionnaire general1y goes through three phases

  1. Developing a design strategy
  2. Constructing the questionnaire
  3. Drafting and refining the questionnaire.

Phase I: Developing A Design, Strategy

  1. Specify the Information Sought – The researcher should be able to specify the list of information needs. Generally this task has already been accomplished when the research proposal or the research design was developed. The hypothesis stated earlier is the guiding light in stating the information requirement. The hypothesis establishes the relationship between the variables and the researcher can ideally develop the data that is required to he collected to prove or disapprove the hypothesis.
  2. Determine the Communication Approach – It refers to the decision on the method used to conduct the survey i.e. personal interview, depth interview, telephone, mail. computer etc. This decision on method to be used will have a bearing on the type of questionnaire to design. The choice of communication approach is influenced by factors like to location of respondents, the time funds available, nature of study etc. The communication approach chosen results in different introductions, different instructions, layout etc. Once the communication approach has been finalized, a decision is then taken on the type of questionnaire that is to be framed.
  3. Type of Questionnaire – In this step the researcher specifies how the data will be gathered by stating the type of questionnaire required. The questionnaire can be of four types.
    • Structured-Undisguised Questionnaire – The most popular type, it involves using questions with clear direct wording, having a logical order. The wording and order remains the same for all the respondents. They are very simple to administer and easy to tabulate.
    • Unstructured-Disguised Questionnaire – The exact opposite of the earlier type, this questionnaire hides the purpose of research and shows no clear order or tendencies. Such a questionnaire generally uses projective methods to collect data. A disguised or hidden stimulus is given to the respondent and the response is in an unstructured form.
    • Unstructured-Undisguised Questionnaire – In this type of questionnaire the purpose of the study is clear but the questions are generally open ended. e.g. “How do you feel about putting a ban on student union election?” The respondents are free to reply in an unstructured manner. These questionnaires are generally used in depth interviews.
    • Structured-Disguised Questionnaire. – The purpose of this questionnaire is to hide the motive of study but allow for ease in coding and analysis. This approach is based on the fact that direct questions may influence or bias the replies, but if the questions. are disguised than we ask the respondents What they know and not what they feel e.g. the earlier question will be framed as

      What is the effect of student union election?

      (a) It creates awareness

      (b) It disrupts studies



      Although such questionnaire offer ease of tabulation and analysis, yet because of the effort involved in framing disguised questions, this is not a every popular method.

Phase II: Constructing the Questionnaire

  1. Determine Question Content – This step initiates the task of framing specific questions which would yield the data required for study. While framing the questions certain things should be kept in mind:
    • Is the question necessary? Every question should have some use in providing additional and genuine information.
    • Is the question complete? The question should have the proper scope to reveal all the information that a researcher needs to know.
    • Is a single question or multiple questions required? There should not be ‘double barreled questions’ which combine two questions in one e.g. ‘Are the elections this year transparent and according to election commission guidelines’. This is an incorrect method. Instead to obtain the desired information the following two questions should have been asked :
      • Are the elections this year transparent?
      • Where the election commission guidelines adhered to completely.
    • Can the respondent articulate? The respondent may be unable to answer adequately due to his inability to organize his thoughts.
    • Is the respondent informed? The respondent’s information level should be kept in mind i.e. the content of the question should match the knowledge level of the respondent.
    • Can the respondent remember? The questions should not overtax the respondent s recall ability. No assumption should he made regarding the memory. Take a simple test and answer these questions:
      • What was the last movie you saw?
      • Where did you last eat out?
      • When did you visit a temple?

      These questions, although very simple, yet test your recall ability.

    • Is the respondent willing to answer? This is of relevance in situation where the questions are sensitive exploring an individual’s faith, money matters, family life etc.
  2. Determine the Response StrategyOnce the content of questions has been decided upon, the next stage is to decide on the structured response strategy. (close response using fixed alternative questions) or an unstructured response strategy open response using open ended questions). Some of the response strategies are:
    • Dichotomous questions

      Do you own a digital camera?


    • Multichotomous questions

      Which brand do you prefer for buy a digital camera?





    • Checklist questions

      What features do you look for in your digital camera?

      Picture clarity

      Screen size

      Video recording facility


      Smart physical looks

      Free service for 1 year

      Large memory capacity

    • Scale questions may be of the rating or ranking type


      Which of the following media has been instrumental in influencing your choice of digital camera? Rank them giving 1 to the most effective media, 2 to the next most and so on.

      – Television
      – Company Brochures
      – Newspapers
      – Net Advertising
      – FM Radio


      Of the following factors, rate each factor in terms of the ‘most desired’, ‘some what desired’ and ‘least desired’ that digital camera should possess.

        Most Desired Some What Desired Least Desired
      High Picture Clarity
      Large Memory
      Big Screen
      Zooming Function
      Picture Editing Function
      Small Size
      Video Recording Facility
  3. Determine the Question’s Wording – This state is concerned with the phrasing of each question. The researcher needs to use utmost caution in framing the question since a poorly phrased question will either lead to a wrong response of result in refusal to answer. While wording a question the following things should be kept in mind:
    • Use simple words – The questionnaire is not a test of respondent’s vocabulary, hence the words should be simple e.g. ‘where, in your opinion, does the forte of this organization lie? Since some may not know the meaning of word ‘forte’, hence it is better if it is phrased simply as ‘Where in your opinion, does the strength of this organizationally?’
    • Avoid technical jargon – Use of technical words may render even the highly educated respondents helpless in answering the questions.
    • Avoid using ambiguous questions – words like ‘occasionally’, ‘often’, ‘sometimes’, ‘you’ etc. are all problem words e.g.

      How often do you watch movies in a theatre?





      This question is worthless since everybody has a different interpretation of occasionally and sometimes.

    • Avoid biased wording – Questions that lead respondent towards an answer, give him a clue to the questions, are biased or leading questions. Such questions should be avoided since they distort the intent of the question e.g.
      • ‘Do you think government is doing right by allowing FDI in retail sector?’
      • ‘Do you consider it appropriate to use low cost accessories for your car?’

      These questions force a respondent to think in a particular direction.

    • The level of personalization should be controlled e.g. ‘what should our government
      do today’?

      • Increase defence expenditure, even if it means more taxes. The alternative can also be written as
      • Increase defence expenditure even if you have to pay more tax.

      The second alternative is more personalized and both these alternatives will produce different results. There is no fixed rule to say which method is to be used. However one should choose that level of personalization which presents the issue more realistically.

Phase III: Drafting and Refining the Questionnaire

  1. Decide On Question Sequence – From this step, we enter the stage of drafting the questionnaire and the ordering of questions is an important aspect. The following things need to be kept in mind:
    • Use simple and interesting Question first. It makes the respondent feel comfortable. An alternative is to use ‘funnel approach’ whereby broad questions are asked first and specific questions are asked later on.
    • The questions should be arranged in a logical order. Jumping from topic to topic would break the flow of respondent and he would lose interest in filling the questionnaire.
    • Classification questions should be asked later on. Classification questionnaire the personal questions. The reason for asking classification question before target questions is to avoid alienating the respondent before getting to the heart of study e.g. respondents who readily offer their opinion on preferred car types would most likely balk from responding with same freedom if their income is asked first.
    • Difficult and sensitive questions should be asked right in the beginning of the questionnaire so as to avoid threatening the respondent.
    • Branching of questions should be done with care. Branching refers to directing the respondent where to go next in the questionnaire on the basis of his answer to preceding questions. Branching is easier in case of telephone or personal interview schedule but when the questionnaire is to be mailed; branching should be avoided as it may confuse the respondent.
  2. Determine the Physical Characteristics – The physical appearance affects the way the respondents react to the questionnaire. Hence the following points should be observed:
    • Use a good quality paper with high definition ink so that it can be read easily. The questionnaire should look professional and easy to answer.
    • Size of the questionnaire is important. Small questionnaire is preferred to a lengthy one provided the small size is not achieved at the expense of appearance. If a small size is achieved by making the questionnaire crowded then it will lead to errors and result in less informative answers.
    • A questionnaire should be accompanied by an introductory letter. It should introduce the study and male the respondent realizes the worth of his powers. The importance of research and the importance of respondent’s replies should be conveyed through the letter.
    • The instructions should be written clearly and politely. The method of reporting the responses i.e. tick mark, cross or circle should stated clearly. If the respondent is to skip certain questions then ‘go to’ instructions should be used and if an entire section is to be skipped then different colors for different sections should be used.
  3. Pre-Testing the questionnaires – The process of using a questionnaire on a trial basis on a small group of respondents to determine how the questionnaire is performing is termed as pre-testing. Pre-testing helps to find out the errors in individual questions along with the sequence of questions. Various aspects like the ability of questionnaire to generate respondent’s interest, the interpretation of the meaning of questions, the continuity of the questions, the time required to fill the questionnaire can be tested through pre-testing, Pretesting can be classified as follows:
    • Researcher Pre-testing – This involves a small group of fellow researchers testing the instrument in the initial stages of design. These researchers can provide valuable input to improving the questionnaire.
    • Respondent Pre-testing – In this, pre-testing is done by a small sample drawn from the target respondent population. The instruments in its ready form are administered to the sample and then inputs can he taken from them on the questionnaire.
    • Collaborative Pre-testing – When the respondents are told about the role in pre-testing then it becomes a collaborative pre-test. In such a pre-testing detailed probing of each and every question is done and it is usually a time consuming process.
    • Non-Collaborative Pre-test – When the respondents are not told about their role in pre-testing becomes non-collaborative pre-test. Since they are not being told, their cooperation will be relatively less comprehensive. However this approach has the advantage that it is conducted in situation exactly similar to the real environment.

Table of Contents
1.statistics adjusted rsquared

2.statistics analysis of variance

3.statistics arithmetic mean

4.statistics arithmetic median

5.statistics arithmetic mode

6.statistics arithmetic range

7.statistics bar graph

8.statistics best point estimation

9.statistics beta distribution

10.statistics binomial distribution

11.statistics blackscholes model

12.statistics boxplots

13.statistics central limit theorem

14.statistics chebyshevs theorem

15.statistics chisquared distribution

16.statistics chi squared table

17.statistics circular permutation

18.statistics cluster sampling

19.statistics cohens kappa coefficient

20.statistics combination

21.statistics combination with replacement

22.statistics comparing plots

23.statistics continuous uniform distribution

24.statistics cumulative frequency

25.statistics coefficient of variation

26.statistics correlation coefficient

27.statistics cumulative plots

28.statistics cumulative poisson distribution

29.statistics data collection

30.statistics data collection questionaire designing

31.statistics data collection observation

32.statistics data collection case study method

33.statistics data patterns

34.statistics deciles statistics

35.statistics dot plot

36.statistics exponential distribution

37.statistics f distribution

38.statistics f test table

39.statistics factorial

40.statistics frequency distribution

41.statistics gamma distribution

42.statistics geometric mean

43.statistics geometric probability distribution

44.statistics goodness of fit

45.statistics grand mean

46.statistics gumbel distribution

47.statistics harmonic mean

48.statistics harmonic number

49.statistics harmonic resonance frequency

50.statistics histograms

51.statistics hypergeometric distribution

52.statistics hypothesis testing

53.statistics interval estimation

54.statistics inverse gamma distribution

55.statistics kolmogorov smirnov test

56.statistics kurtosis

57.statistics laplace distribution

58.statistics linear regression

59.statistics log gamma distribution

60.statistics logistic regression

61.statistics mcnemar test

62.statistics mean deviation

63.statistics means difference

64.statistics multinomial distribution

65.statistics negative binomial distribution

66.statistics normal distribution

67.statistics odd and even permutation

68.statistics one proportion z test

69.statistics outlier function

70.statistics permutation

71.statistics permutation with replacement

72.statistics pie chart

73.statistics poisson distribution

74.statistics pooled variance r

75.statistics power calculator

76.statistics probability

77.statistics probability additive theorem

78.statistics probability multiplicative theorem

79.statistics probability bayes theorem

80.statistics probability density function

81.statistics process capability cp amp process performance pp

82.statistics process sigma

83.statistics quadratic regression equation

84.statistics qualitative data vs quantitative data

85.statistics quartile deviation

86.statistics range rule of thumb

87.statistics rayleigh distribution

88.statistics regression intercept confidence interval

89.statistics relative standard deviation

90.statistics reliability coefficient

91.statistics required sample size

92.statistics residual analysis

93.statistics residual sum of squares

94.statistics root mean square

95.statistics sample planning

96.statistics sampling methods

97.statistics scatterplots

98.statistics shannon wiener diversity index

99.statistics signal to noise ratio

100.statistics simple random sampling

101.statistics skewness

102.statistics standard deviation

103.statistics standard error se

104.statistics standard normal table

105.statistics statistical significance

106.statistics formulas

107.statistics notations

108.statistics stem and leaf plot

109.statistics stratified sampling

110.statistics student t test

111.statistics sum of square

112.statistics tdistribution table

113.statistics ti 83 exponential regression

114.statistics transformations

115.statistics trimmed mean

116.statistics type i amp ii errors

117.statistics variance

118.statistics venn diagram

119.statistics weak law of large numbers

120.statistics z table

121.discuss statistics

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