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    Module: Research methods

    Unit: Data gathering techniques

    Lesson: Quantitative techniques

    2012 Resource Development International Ltd. All rights reserved.

    Resource Development International Limited reserves all rights of copyright and all other intellectual property rights in these

    learning materials. No part of any learning materials may be reproduced, stored in a retrieval system or transmitted in any form

    or by any means, including without limitation electronic, mechanical, photocopying, recording or otherwise, without the prior

    written consent of Resource Development International Limited.

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    Q u a n t i t a t i v e t e c h n i q u e s

    Questionnaires

    Questionnaires are much the most commonly used type of quantitative investigation in business and

    management. Another source is from experiments, for example measuring output levels under

    different working conditions. Other quantitative data may be derived from, for example, Governmentrecords, sales records, production records and so on.

    Questionnaires form part of a survey and are used extensively to collect qualitative and/or

    quantitative information relating to the following types of information.

    Behaviour.

    Facts.

    Figures.

    Knowledge.

    Opinions.

    Attitudes.

    Motivations.

    Lifestyle.

    The steps in the survey research process are summarised in the figure.

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    Figure 2.1.3 - Figure 2.1.3

    The format of the questionwill influence the response so you need to be able to distinguish between

    multiple choice (which seek a single answer) and open-ended questions (which encourage the

    person to express feelings or expand ideas).

    A typical open-ended question in a job interviewmight be 'What aspects do you like about your job?

    "

    List what you think the drawbacks of 'open-ended' questions are when collecting quantitative

    data?

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    Some of the points you could have considered are:

    Most respondents do not like open-ended questions because they are time consuming toanswer.

    It is very difficult to control the response, as people often tend to ramble and stray from thequestion.

    They are difficult to synthesise and to group into categories.

    Ordering the questions

    Once the questions have been drafted and the format of response selected, attention then needs to

    be given to the order so that it will clearly establish the nature of the questionnaire whilst conveying

    that the filling out of the questionnaire will be straight forward and will not be time consuming.

    Do not begin with questions which require considerable thought or time to gather information. Make

    difficult questions as easy as possible to answer. For example, where you need a specific value

    such as income, it is often easier to provide a range of answers, such as, 10,000 to 15,000,

    15,001 to 20,000, 20,001 to 25,000 and so on.

    Progression from one question to the next should follow a logical sequence that confirms theobjectives of the questionnaire.

    Other considerations

    As well as the points made already, the questionnaire should also be reviewed against the following

    questions. Does it:

    maintain the involvement of the respondent?

    develop respondent confidence?

    minimise the difficulty of data collection and processing?

    If the answers to these questions are satisfied, the questionnaire is ready for piloting. Trying thequestionnaire on a few respondents is likely to highlight any problems, such as questions that can

    be misinterpreted or cannot be understood easily.

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    Administering a questionnaire

    The most common ways are:

    Posting - If there is an appropriate mailing list available, posting questionnaires is a usefulmeans of collecting information. However, in the absence of incentives to complete, response

    rates may be poor.

    Self-completion - For internal purposes, questionnaires can be delivered by hand. This puts

    pressure on employees to complete, and response rates should be good. In addition,

    employees are more likely to fill out the questionnaire as they see themselves as playing animportant role in influencing the outcomes of any planned changes.

    Telephone questionnaires - This is a relatively low-cost means of achieving high response

    rates, particularly in business-to-business research. However, to be effective, these must be

    brief and utilise questions which give factual answers, so closed questions are the most

    suitable.

    Collect a range of questionnaires, including formal, informal and junkmail surveys.

    Assess the effectiveness of each, explaining your reasoning.

    The key here is to consider them in relation to their purpose.

    If you have any doubts about their effectiveness, try discussing themwith colleagues or other

    students.

    Computer-aided interviewing and questionnaires

    Computer systems make the task of gathering data much easier for the researcher. Interviews and

    questionnaires can bemademuch simpler to work with if appropriate software is utilised.

    In both cases, it is possible to gather data directly on to the computer by encouraging members of a

    sample to respond to questions posed, not by researchers, but by the computer itself. Responses

    can be set as multiple-response or bymeans of a points scoring system, i.e. scoring 0 for completedissatisfaction through to scoring 10 for total satisfaction. The computer can thus gather a series of

    quantitative responses that can be analysed easily.

    The major advantages of using the computer for interview and questionnaire situations are that:

    the additional pressure caused by the presence of the interviewer is removed

    questions can be answered at times that suit the interviewee as opposed to a set

    appointment, and

    some individuals feel that they can bemore honest with their answers when they are

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    responding to an inanimate object.

    If any or all of these factors lead to more accurate information then the use of computer-aided data

    gathering should be seriously considered.

    Internet surveys

    The availability of the Internet to a wide audience is the key factor in its importance in the data

    gathering process. Data can be collected from a muchwider geographic area than throughtraditional methods and, just as importantly, with much faster response times.

    An organisation seeking to carry out a survey amongst its entire global sales force could, at least in

    theory, achieve this within the sameday It could also be able to gather and present the information

    ready for presentation within the same period of time. Inevitably, this would require a great deal of

    coordination, but it should be possible to achieve such rapid response. If the information can then

    be disseminated to managers, the organisation will be in a better position to respond to marketchanges than its immediate rivals. It would be seen to have gained a potential competitive

    advantage.

    Look at a range of websites. How is information about potential customers gathered?

    Describe four different examples.

    Find examples of surveys carried out through websites.

    Pilot testing

    Having reviewed the structure and content of a questionnaire or survey, it is still not ready for market

    release. It is necessary to carry out a pilot test or study.

    This involves carrying out the questionnaire with a small selected sample to identify any problems

    that could arise. For example, it is necessary to find any possible ambiguities or mistakes in the

    format of the questions before it is circulated to its full sample. Checks should also be made to

    replace any leading questions as these could influence individuals' responses.

    The use of a pilot study is absolutely crucial when using questionnaires and ideally needs to beundertaken in two phases:

    Asking colleagues their opinion.1.

    Using a sample population who are part of the intended population to receive the

    questionnaire.

    2.

    The purpose of using a sample is to examine all responses to see if the responses are clear and/or

    appropriate. Adjustments would then bemade accordingly to the questions. In addition, a trial run of

    the analysis of the results should be undertaken to see if the results are meaningful and useful.

    Designing data collection methods for computational analysis

    To ensure that all data is available in a suitable form for computational analysis it is usual to design 2012 Resource Development International Ltd. All rights reserved.

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    the responses so that they can be easily coded. By converting each response into a numeric, or

    alpha-numeric, code it is possible to enter the data into a computer with relative ease and facilitate

    the use of a suitable data analysis software package.

    The simplest form of coding consists of binary values for yes and no responses. Yes is normally

    allocated a value of 1, whilst a no response is allocated a 0. A series of eight responses, for example, might generate a coded value of 11010001, indicating four positive and four negative

    answers.

    Design a suitable simple coding system for a short series of questions about gender, age, and

    nationality.

    Your questions might be:

    1. Select gender male/female

    2. Select age group under 25, 26 to 35, 36 to 45, over 46

    3. Select nationality British, French, German, other

    Your responses could then be coded as follows:

    Gender male = 1, female = 2

    Age group under 25 = 1, 26 to 35 = 2, 36 to 45 = 3, over 45 = 4

    Nationality British = 1, French = 2, German = 3, Other = 4

    A response of 223 would thus represent a German female aged between 26 and 35.

    In almost all cases, more detailed coding systems will be needed. These will probably includecoding of analytical categories, using appropriate abbreviations or pseudonyms. This is an area

    which is outside the scope of this module and the student is advised to investigate through suitable

    texts or via the Internet in order to gain a more complete understanding. One useful starting place is:

    http://www.socialresearchmetho s.net/kb/statprep.php

    There are a variety of software packages available which will greatly minimise the time that manualanalysis would consume. Examples include:

    Microsoft Office - storing notes and other forms of data in spreadsheets, word processing anddatabases.

    SPSS (Statistical Package for Social Sciences) - general statistical analysis using a range of

    techniques. Equally applicable to business andmanagement research.

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    Ethnography - filing and indexing text into different categories. Data is analysed using an

    anthropological framework.

    NUD-IST (Non-numerical, Unstructured Data Indexing - Searching and Theorising) and Atlas/it

    - both tools can generate new categories and relationships. They is a powerful analytical tool

    allowing for analysis of key words and phrases in written data and analysis of audio recordings

    and documents.

    Experiments

    Among the best known experiments relating to management are a series carried out in the 1920s.

    The methods used during the Hawthorne experiments are just as valid today, and their conclusionshave formed the basis of many theories or management and organisational behaviour.

    For an outline of the key procedures, see:

    http://www.experiment-resource .com/hawthorne-effect.html

    There is more extended discussion at:

    http://en.wikipedia.org/wiki/H wthorne_effect

    The experiments are also discussed from anHRperspective at the following website. The author

    considers that the improvements in output were influenced by the fact that the researchers were

    carrying out experiments, and also that workers were grouped into teams for the experiment (a

    factor which itself created improvements). In both cases note that the key point is that the

    experiment itself affected what it set out to measure. See:

    http://www.personneltoday.com/ rticles/2004/10/19/26126/staff-under-the-microscope.html

    To what extent could experiments be used in your possible research projects?

    What would be the main benefits and difficulties?

    Before your group meets, work individually to identify:

    which forms of data collection you are likely to use in your research project

    what problems and issues you expect to encounter in the data collection stage.

    As a group discuss the various techniques and offer suggestions about how each student'sproblems and issues could best be overcome or dealt with. Note that this approach, in addition to

    helping one student with a particular issue, is also likely to bring up new ideas that may apply to

    your own research.

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    Knowledge Checks

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    Knowledge Checks - Solutions

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