Lecture 7 RMT

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    BBA 04

    Bahria University

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    Hypotheses Development Definition of Hypotheses: Is a logical relationship

    between two or more variables expressed in the form

    of a testable statement.

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    Statement of Hypotheses: Formats If-Then Statements

    Can be used to test whether there are differences

    between two groups. It takes two forms: Employees who are more healthy will take sick

    leave less frequently.

    Ifemployees are more healthy, then they will takesick leave less frequently.

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    Directional and Nondirectional Hypotheses

    Directional hypotheses: the direction of the

    relationship between the variables (positive/negative)

    is indicated.

    The greater the stress experienced in the job, the lowerthe job satisfaction of employees.

    Or

    Women are more motivated than men are.

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    Nondirectional hypotheses Non directional hypotheses: there are no indication of

    the direction of the relationships between variables.

    There is a relationship between age and Job

    satisfaction.

    Or There is a difference between the work ethic values of

    American and Arabian employees.

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    Null and Alternate Hypotheses The null hypotheses is a proposition that states a

    definitive, exact relationship between two variables.

    It states that the population correlation between two

    variables is equal to zero (or some definite number).

    In general, the null statement is expressed as no

    (significant) difference between two groups.

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    The Alternate Hypotheses The alternate hypotheses is the opposite of the null

    hypotheses, is a statement expressing a relationship

    between two variables or indicating differences

    between groups.

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    Examples The null hypotheses:

    Women are more motivated than men are. Then,

    H0: M = w

    Or H0: M - w = 0

    Where H0 represents the null hypotheses,

    M is the mean motivational level of the men,

    w is the mean motivational level of women.

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    The alternate hypotheses for the above example:

    HA: M < w

    Which is the same asHA: M > w

    Where HArepresents the alternate hypotheses.

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    Examples for the nondirectional

    relationship There is a difference between the work ethic of

    American and Arabian employees.

    The null hypotheses would be:

    Ho: AM = AR

    Or

    Ho: AM - AR= 0

    Where AM is the mean work ethic value ofAmericans and ARis the mean work ethic value ofArabs.

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    Examples for the nondirectional

    relationship The alternate hypotheses for the above example

    would statistically be set as:

    HA: AM

    ARwhere HArepresents the alternate hypotheses.

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    Examples for the nondirectional

    relationship For the example: The greater the stress experienced in the

    job, the lower the job satisfaction of employees. The null hypotheses would be:

    Ho: There is no relationship between stress experiencedon the job and the job satisfaction of employees.This would be statistically expressed by:

    Ho: P = 0where P represents the correlation between

    stress and job satisfaction, which in this case is equal to nocorrelation

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    Examples for the nondirectional

    relationship The alternate hypotheses for the above null, can be

    stated as:

    HA: P

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    Examples for the nondirectional

    relationship For the example: There is a relationship between age and

    job satisfaction.

    For this nondirectional statement, the null hypotheses

    would be statistically expressed as:H0: p=0

    The alternate hypotheses would be expressed as:

    H0: P 0

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    After formulating the null and alternate hypotheses,the appropriatestatistical tests (t tests, F tests) canbe applied, which would indicate whether or notsupport has been found for these hypotheses.

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    Exercise

    A production manager is concerned about the low output levels of

    his employees. The articles that were read of job performance

    mentioned four variables as important to job performance:

    skill required for the job,

    rewards,

    motivation,

    and satisfaction.

    In several articles it was also indicated that only if the rewards were

    (attractive) did motivation, satisfaction, and job performance increase,

    not otherwise.

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    Exercise Given the above situation, do the following:

    1. Define the problem.

    2. Evolve a theoretical framework.3. Develop at least six hypotheses.

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    Exercise (cont.) Problem Statement

    How can the job performance (output) of the

    employees be increased through enriched jobs andrewards?

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    Schematic Diagram for the Theoretical

    Framework

    SOLUTION TO EXERCISE 5.13Copyright2003 John Wiley & Sons, Inc. Sekaran/RESEARCH 4E

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    Hypotheses HA1: If the job is enriched and utilizes all the skills

    possessed by the employee, then employee satisfactionwill be high.

    HA2: If the job is enriched and utilizes all the skillspossessed by the employee, then employee motivationwill be high.

    HA3: There will be a positive correlation between

    satisfaction and motivation.

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    Hypotheses HA4: Greater rewards will influence motivation and

    satisfaction only for those employees who find the

    rewards attractive, not for the others. HA5: Satisfaction and motivation will positively

    influence performance.

    HA6: The more enriched the job and the greater the

    skills utilized by the job, the higher the level ofemployee performance.

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    Exercises on Theoretical Framework (Cont.)Theoretical Framework

    Since the administrators main concern is about the

    strike, teachers strike is the dependent variable. Pay

    and the physical environment of the classroom are the

    two independent variables, which influence the strikesituation.

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    Exercises on Theoretical Framework (Cont.) The greater the pay demands made by the teachers, the

    greater the possibility of a strike, since the school

    administration refuse the idea of higher wages.

    The more uncomfortable the classroom physical

    environment, the more difficult it will be for teachers todo an effective job in the classroom, and hence the

    greater the possibility of teachers going on strike.

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    Exercises on Theoretical Framework (Cont.)However, this relationship between the independent

    variables and the dependent variable will be true only for

    those teachers who are not dedicated to teaching. Thetruly dedicated teachers would be more concerned about

    doing a good job despite the hardships faced by them,

    and hence the pay demands and the classroomenvironment will not be factors influencing their

    decision to join the strike.

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    Schematic Diagram 5A

    THEORETICAL FRAMEWORK ANSWERS TO EXERCISES (PAGES 113-120 OF MANUAL) 5ACopyright2003 John Wiley & Sons, Inc. Sekaran/RESEARCH 4E

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    Hypothesis: H01: Dedication to teaching will not alter the

    relationship between the independent variables of payand classroom environment and the dependent

    variable of teachers decision to go on strike.

    HA1: Only for those teachers who are not truly

    dedicated to teaching, will pay considerations andclassroom environment be factors that wouldinfluence their decision to go on strike.

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    Secondary data Reanalyzing the already collected data for some other

    purpose

    Raw vs. Compiled data

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    Types of secondary data Documentary data are often used in research projects

    that also use primary data collection methods. However,

    you can also use them on their own or with other

    sources of secondary data

    Survey based data refers to data collected using a survey

    strategy, usually by questionnaires, that have been

    already analysed for their original purpose

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    Multiple-source secondary data can be based entirely on

    documentary or on survey or can be amalgam of the two.

    The key factors is that different data sets have been

    combined to form another data set prior to your accessing

    the data.

    Types of secondary data

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    Types of secondary data

    Source: Saunders et al. (2006)Figure 8.1 Types of secondary data

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    Locating secondary data

    Establishing that the required secondary data isavailable

    Locating the precise data required

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    Availability of secondary data

    References in publications (books, journal articles)

    Within organisations (unpublished sources)

    Tertiary literature (indexes and catalogues inarchives or online)

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    Availability of secondary data

    References in published guides

    Data held by organisations

    Data on the Internet

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    Evaluating secondary data

    Fewer resource requirements

    Unobtrusive

    Longitudinal studies may be feasible

    Provision of comparative and contextual data

    Unforeseen discoveries may occur

    Generally permanent and available

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    Evaluating secondary data

    Purpose of data collection may not match theresearch needs

    Access may be difficult or costly

    Aggregations and definitions may be unsuitable

    No real control over data quality

    Initial purpose may affect data presentation

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    Evaluating secondary data

    Enable the research question(s) to be answered

    Enable research objectives to be met

    Have greater benefits than their associated costs

    Allow access for research

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    Evaluating secondary data

    Source: Saunders et al. (2009)

    Figure 8.2 Evaluating potential secondary data sources

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    Sources of Secondary Data Federal Bureau of Statistics

    World Bank

    IMF

    State Bank

    Ministry of Commerce

    Karachi Stock Exchange

    Business Recorder

    International sources

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    Federal Bureau of Statistics

    Pakistan demographic survey

    Labour force survey

    Business registerWeekly sensitive price indices

    Foreign trade statistics

    Monthly price indices (CPI, WPI, SPI)

    National accounts

    Gross national product

    http://t15.pdf/http://cpi_annexure_july_2011.pdf/http://table3.pdf/http://newtable2-1.pdf/http://newtable2-1.pdf/http://table3.pdf/http://cpi_annexure_july_2011.pdf/http://t15.pdf/http://t15.pdf/http://t15.pdf/
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    Federal Bureau of Statistics Census of manufacturing industries (Industry)

    Employment and employment cost (all employees)

    Employment and employment cost (production workers)

    Employment and employment cost (non-production workers)

    Fixed assets

    Industrial cost

    Non-industrial cost

    Value of production

    Trade margin

    Census value added Contribution to GDP

    Indirect taxes

    Stocks statistics

    Value of fuel and electricity consumed

    http://3.0_a.pdf/http://3.0_a.pdf/
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    World Bank Online data catalogs

    World bank finances

    World development indicators Global development finances

    World development report

    Social economic databases

    Education and gender statistics

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    IMFWorld Economic Outlook

    Data are available from 1980 to the present, andprojections are given for the next two years

    National accounts

    Inflation

    Unemployment rates

    Balance of payments Fiscal indicators

    Trade for countries and country groups

    Commodity prices

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    IMF eLibrary

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    IMF - International Financial

    Statistics

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    Karachi Stock Exchange

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    Karachi Stock Exchange

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    Karachi Stock Exchange

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    Karachi Stock Exchange

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    Karachi Stock Exchange

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    Karachi Stock Exchange

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    Karachi Stock Exchange

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    Karachi Stock Exchange

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    International SourcesWERS Work Place Employment Relations Survey

    Projects:

    Causality Of Demand For Money In Selected AsianEconomies: Short Term and Long Term Analysis

    TOL Projects Trust, OCB and Leadership

    PTCL: Making one time customer a life time partner

    through competitive customer service