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    Graduate School of Business Universiti Tun Abdul Razak

    BQM5133

    BUSINESS RESEARCH METHODS

    Lecturer:ProfDatoDr Ismail RejabGraduate School ofBusiness

    www.unirazak.edu.my

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    Prologue Course is simple ifyou workon it

    Designed forAcademic Research (Master and Ph D)

    as well as practical research

    Reading is Key: Please read text and other assignedreadings

    Actually doingresearch is difficult unless do it several

    times

    Pay attention in class, write where appropriate Powerpoint slides are not in complete sentences but

    can be used as notes

    Clarify with me where necessary and when in doubt

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    Article Critique: What to lookfor

    Examine the literature review. Determine ifit has been

    exhaustive and contributes towards identification ofthe research

    to be conducted.

    What is the research problem? Is it well-defined and does it have

    any linkto the literature review? Is it significant in the chosenfield ofstudy?

    Are research objectives in line with the research problem?

    Development ofresearch concepts and conceptual framework,

    theory or model. Is the conceptual framework, theory or model

    consistent with the body ofknowledge ofthe study area? Methodology: Indicate the research design. Is it a right choice of

    the design? Why did the researcher choose the research design?

    Is the choice right or justified? Explain your comment.

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    Article Critique: What to lookfor

    Methodology: Selection ofrespondents. Explain how the

    researcher selected the respondents and the type ofsampling

    used. Has the researcher utilized the right sampling technique to

    allow generalization offindings? Can you detect any flaw in the

    sampling process?

    Methodology: Examine the data collection procedure including

    the method and the instrument used to collect the data. Was it

    done right? Any possible flaw that could introduce bias?

    Methodology: Data Processing. How was the data processed and

    what statistical package was used to extract relevant statistics.

    Analysis: are the statistics selected relevant to the research and

    have they contributed towards answering the research problem

    and achievement ofresearch objectives?

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    Article Critique: What to lookfor

    Analysis: What statistics are used to test the hypotheses? Are the

    statistics correctly selected to test the hypotheses?

    Discussion ofFindings: Is the discussion connected to the

    objective ofthe study? Is it relevant to the research subject

    matter?

    Has the researchergeneralized the findings to the defined

    population? Is the generalization within the limit ofthe

    population been defined? Did the researcherover-generalized?

    Research Implications: Are implications drawn correctly? Do

    implications have management values?

    Conclusion: Is the conclusion correctly drawn and provides the

    overall syntheses ofthe research? Any suggestion forfuture

    research?

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    SCIENTIFIC INQUIRY

    Assessment ofrelevant existingknowledge ofa

    phenomenon (such as Literature Review) Formulation ofconcepts and propositions

    Statement ofhypothesis

    Design ofresearch to test the hypothesis

    Acquisition ofmeaningful empirical data Analysis and evaluation ofdata

    Explanation ofa phenomenon

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    What is research then?

    From Assessment ofknowledge to

    Explanation Phenomena ofinterest

    Important for human beings

    Contribute towards enhancement of

    knowledge

    Enlarging the body ofknowledge inparticularfields

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    Purpose ofResearch

    Togain and contribute to the body of

    KnowledgeFNew

    FExisting: to expand, replicate, etc.

    To explain phenomena

    Toreduce uncertainty

    To make effective decisions

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    RESEARCH DICHOTOMY

    Basic orPure RESEARCH

    Attempts to expand the limit ofknowledge Are there living things on Mars

    To evaluate concepts or theories

    Findings cannot be immediately implemented

    To verify acceptability ofa given theory Tofind out more about a given concept

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    RESEARCH DICHOTOMY

    APPLIED RESEARCH

    About real-life problem, where decision has to

    be made

    Concerning a specific problem (can we implement apaperless office?)

    Both basic and applied, use scientific method of

    inquiry

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    WHAT IS RESEARCH THEN?

    RESEARCH is:

    Learning(gettingnew information, or learningsomethingnew)

    Different research methods means different ways

    oflearning

    It is an evolutionary process

    We dont reject previous findings, but we add

    values to them

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    WHAT IS RESEARCH THEN?

    Based on Scientific Inquiry, Research is:

    An evolutionary Process A transformation

    A change?

    An epitome oforganizational transformation

    and change As much as the society in which an organization

    operates

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    RESEARCH LINK TO THE ORGANIZATION

    Need toknow: which is inquisitive Application: which is action

    Resolving: which is decision

    First we have toknow (through research)

    Second, we have to put them in action Third, make decisions accordingly

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    RESEARCH LINK TO THE ORGANIZATION

    Action Research is what we are proposing here(nothing less)

    Uncover problems and issues in organizations, such

    as:

    Job Satisfaction,Absenteeism, Organizational Loyalty,

    Productivity Culture, What pushes people to work

    harder, etc.

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    ACTION RESEARCH

    Action Research is linked to management learning,

    seeking to answer:

    What is the nature ofour management learning?

    How do we learn it?

    How do we use what we learned

    What are the implication for us and for the

    organization?

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    ACTION RESEARCH

    Action Research must have relevance to the

    workplace

    Research that uncovers organizational

    problems

    Research that supports decision making It is not research forresearch sake

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    RESEARCH TYPES

    Three Major Types

    (in terms of achieving directions)FExploratory

    FDescriptive

    FCausal

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    RESEARCH TYPES

    EXPLORATORY

    FTo clarify ambiguous problem

    F Togain better understandingofthe existing

    problem

    F Not conclusive, but requires subsequent research

    FTofirst understand what is it?

    F What is SARS?

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    RESEARCH TYPES

    DESCRIPTIVE To describe characteristics ofa phenomena

    Seeks answers to questions who, what, when, and

    where

    Who use what (Sea Cucumber), when and wherethat they use it?

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    RESEARCH TYPES

    DESCRIPTIVE

    Based on some previous understanding

    Accuracy is important (or for any research for

    that matter) for effective decision

    Determine the extent ofdifferences across groups

    But nevercause-and-effectrelationships, unlessdesigned to do so

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    RESEARCH TYPES

    CAUSAL

    Cause-and-effectrelationship

    Seekevidence to predict relationship, although

    difficult to prove

    To explain the existence ofcertain phenomena

    Concomitant variation: occurrence of two eventsthat vary together

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    PROBLEMS ACCORDING TO TYPES OF RESEARCH

    Exploratory Descriptive Causal

    Absenteeism among Factory

    Workers in Malaysia

    Who are the Users of SMS in

    Malaysia

    Which training program is

    more effective?

    Characteristics and

    Acceptance of Telekoms New

    Products

    Researchers who are Mostly

    Absent from Work

    Will there by more people using

    the LRT if the fare is reduced?

    Motivation among

    Universitys Researchers

    Who are the New Designers of

    ICT Products?

    What are the Factors that

    create loyalty to an

    organization?

    SARS and its Link to China Who are the Users of Monorail? What cause the productivity to

    be high?

    The History ofAIDS in

    Malaysia

    Patrons of the Night Markets

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    FLOW CHART OF

    RESEARCH PROCESS

    Problem

    Discovery &

    Definition

    Selection of

    Exploratory

    research technique

    Secondary

    (historical) Data

    Pilot

    Study

    Experience

    Survey

    Case

    Study

    Problem definition

    (statement ofresearch

    objectives)

    Selection of

    basic research

    design

    Survey

    Interview/Questionnaire

    Experiment

    LaboratoryField

    Secondary

    Data Study

    Observation

    Problem Discovery

    And Definition

    Planning the

    Research Design

    Selection of

    Sample

    Design

    Probability

    Sampling

    Non-Probability

    Sampling

    Data

    Collection

    Editing &

    Coding

    Data

    Processing& Analysis

    Interpretation

    ofFindings

    Report

    Sampling

    Drawing

    Conclusion

    and

    Preparing

    Report

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    RESEARCH PROCESS

    Like a map, it tells you how to get there

    There are always alternatives, no one process is alwaysthe best

    But some are better than others

    Advantageous than others

    Choice in terms ofmethod, subject to circumstances

    Process means preceding stage influences the next,

    and vice versa

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    CONCEPTS TO VARIABLES

    CONCEPTS (constructs)

    Generalized idea about object,

    attributes, occurrences, process, etc

    Leadership, productivity, morale, GDP,

    assets, etc are concepts

    Concepts are abstracts ofreality

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    CONCEPTS TO VARIABLES

    Concepts have to be conceptualized

    Given definition that is related toreality

    Toform conceptual definition ofa concept

    Eg: Productivity:

    workachievement?

    the level ofproduction?

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    VARIABLES

    Anything that can assume different numerical

    values: gender, ethnicity, education, marital status Measurable or can be given numbers

    Can be operationally defined based on the

    conceptual definition

    Productivity becomes a variable ifand when it isdefined as:

    The ratio of output over input

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    Variables

    Anything that changes in value

    Ifwe measure productivity across a numberof

    people, the value differs or changes Vary from high to low

    In statistics, variables are normally indicated as X

    (independent) and Y (dependent)

    Some variables can be categorized such as Ethnicity,Gender (Categorical Variables)

    But, sales volume may be infinite (continuous

    variable)

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    Variables

    Independent

    A variable that is expected to influence the

    dependent variable

    Dependent

    Is a criterion variable or a variable that is to be

    predicted or explained

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    VARIABLES

    Some variables can only be categorical;

    gender, ethnicity are the cases in point

    But, age, income, sales can be both categorical

    and continuous

    Categorical variables become dummy

    variables in a regression Continuous variables can be regressed directly

    to see their effects on the dependent variable

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    RESEARCH PROBLEMS

    Identify research problem

    Before Assessment ofrelevant existingknowledge ofa phenomenon

    What is it that needs to be studied

    Consumer perception towards our product

    Consumer acceptance of our product

    What is (are) the problem (s)?

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    Research Problems

    What is (are) the problem (s)?

    Do we just want to explore ifthere is a positiveor negative perception?

    Or, do we want to describe the people who

    perceive positively and negatively?

    Or, do we want to determine what make

    people perceive our product negatively?

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    Research Problems

    Perception is a function ofmany factors

    People are not well aware ofthe product, so

    instead ofbeing positive about the product,

    they act negatively

    Or, they have used our product in the past andhad a bad experience

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    Research Problems

    Lets do an exercise:

    A company will implement VSS in 6 months, but the

    response was not as expected.

    Awareness among managers is low.

    Ifyou need to conduct a research what could be:

    the possible research problems?

    Research Questions?

    Research Objectives?

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    Research Problems Research Questions Research ObjectivesShould we offer VSS? Are managers aware of VSS? To determine managers

    awareness of VSS benefits

    Which of the VSS should be

    offered?

    How concerned are managers

    about VSS?

    To measure the level of

    Acceptance or rejection to VSS

    among managers

    Last pay x years ofwork

    New employment help

    Personal counseling

    Job Contacts

    Which compensation package

    mostly acceptable to managers?

    To obtain managers

    ranking on various

    compensation packages

    Should the counseling be

    offered in-house or by outsideconsultant?

    How much would each package

    cost?

    To identify perceived benefits of

    each compensation package

    Do employees with 10 or more

    years of experience accept

    VSS better

    Which is more preferred, in-

    house counseling or outside

    consultant?

    To identify the employee

    preference for counseling

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    Possible Topics for Graduate Projects

    Consumer Satisfaction ofa particular product or service.

    Job Satisfaction at the shop floor using Hertzbergs.

    Designing a Corporate Plan orJust a Business Plan for your

    company.

    Work culture and change in a factory compared to a

    government department.

    Planned obsolescence in selected products produced in

    Malaysia: Is it an imported innovation? An Industrial Research on a new brand of fruit juice.

    A History ofthe evolution ofadvertising copies since the

    Second World War: A Content Analysis

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    Possible Topics for Graduate Projects

    Sex andAdvertising in Malaysia since the first advertisement:An

    Historical Perspective

    The Structure ofAutomobile Industry: A Value Chain Analysis

    Cost-benefitAnalysis of Cigarette Smoking in Malaysia.

    Trace the Value-chain ofRubber wood

    Attitude towards Works amongst Shop-floor Workers in a Factory

    Training Need Analysis for Organizations

    Utilization ofTime to Complete a Taskin a GovernmentDepartment

    Supply Chain Cost Analysis ofMarketing a Selected Tropical

    Fruit

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    Variable Definition and Measurement

    Variables are measured by their indicators, defined by

    values

    Take ethnicity: Malays, Chinese & Indians

    Are there indicators: can you judge a person by some

    indicators and then tell them whether they are

    Chinese or Malays? Take age: can you judge them their age?

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    Variable Definition and Measurement

    Measurement is: deciding which value torecord

    Is Ruhanie a Male or Female? Fatimah? Wong Seng

    Tong? Yong Kim Seng? Chris Satheesan, Malar,

    Malaya? Pat?

    Sometimes name may not tell the gender

    Must lookat other indicators or evidences

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    Variable Definition and Measurement

    All variables are Concepts

    But Heights and Weights as variables or concepts

    that are easier to measure

    Lookat these concepts:

    Religious tolerance

    Political affiliation

    Service efficiency

    Workabsenteeism

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    Variable Definition and Measurement

    F Product and brand preference,

    FAdvertising awareness

    How do you measure the above? Awareness?

    Are there concrete indicators?

    What values do you give forone level to the other?

    Really Aware, Really not Aware? These are issues pertinent to business research than

    science or engineeringresearch

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    Variable Definition and Measurement

    AdvertisingAwareness

    How do you measure that? First How do you

    define Awareness?

    Defined as: knowledge ofadvertisingfrom

    hearing(Radio), seeing(TV) or being told

    (words of mouth communication), measured by

    the level ofmemory

    Awareness has two levels in Media Research:

    unaided and aided

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    Variable Definition and Measurement

    Unaided and aided

    Which one do you measure first?

    Unaided: Are you aware ofany advertisement

    on Petronas? Yes orNo

    IfAware, which particularAd do you remember(Here we ask the respondent to describe a

    particularAd he remembers)

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    Variable Definition and Measurement

    Ad Awareness Measurement has several

    levels:F First, develop conceptual definition

    F Second, design the question (measurement) based

    on the definition

    FThird, record answers (assign numbers to eachcategory of answer)

    This is called operational definition

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    Variable Definition and Measurement

    Conceptual Definition

    Abstraction

    Articulated in words

    That facilitate understanding

    Can we conceptually define Beauty?

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    Variable Definition and Measurement

    Beauty

    the uality or aggregate ofqualities in a person or

    things that give pleasure to the sense

    What are the qualities ofbeauty?

    Matanya layu, alisnya tebal, leher jinjang,

    pipinya bagai pauh dilayang, rambut ikal

    mayang, etc. Softer eyes, thickeyebrows, sleekthroat, soft

    cheek, curly hairs, etc

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    Variable Definition and Measurement

    But those qualities when compared, poses

    problems

    Especially ifwe want to select a beauty queen

    Also, beauty is in the eyes ofthe beholder

    Beautiful to someone may be not to another But 20,000 Frenchmen are never wrong

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    Variable Definition and Measurement

    What we need is an operational definition of

    beauty

    What do we have to do tomeasure something

    that has been defined conceptually

    Measure implies the use ofnumbers

    Accepted by the majority or experts

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    Variable Definition and Measurement

    Measuring Beauty is quite straight forward:

    1 is given forLeast Beautiful, and 10 is given

    for Most Beautiful

    Is this a Validmethod ofassigning numbers?

    What are the bases used, to come up withthose numbers

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    Variable Definition and Measurement

    Bases are the qualities that we have

    conceptually defined earlier

    Softer eyes, thickeyebrows, sleekthroat, soft

    cheek, curly hairs, etc

    Try to determine bi-polar adjectives: alis

    tebal---alis nipis Then, assign numbers (Thick = 5, Thin = 1,

    and some numbers in between)

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    Variable Definition and Measurement

    Accurately Representing Real Life

    Accepted by allorthe Majority Has Scientific Justification

    Small Value vs Big Value in unimportant to

    important continuum

    But there are exceptions (as in measuring Price

    from Expensive to Cheap or Value for Money)

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    Variable Definition and Measurement

    Implications:

    Concepts are multi-dimensional

    Aggregate measures consistingofseveral

    attributes

    Agreed by experts (beauty queen judges)

    Beauty also includes qualities such as:intelligence, skills, eloquence,

    photogenic, academic qualification

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    Variable Definition and Measurement

    LET US DO AN EXERCISE Define: Peoples Lifestyles

    Then, measure Lifestyles

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    Lifestyles Concept (AIO Inventory)

    People Lifestyle is defined through theirActivities, Interests and Opinions

    Activities Interests Opinions Demographics and

    Media Habits

    Work Family Themselves Age

    Hobbies Home Social Issues Education

    Social Events Job Politics Income

    Vacations Community Business Occupation

    Entertainment Recreation Economics Family Size

    Club Membership Fashion Education Residence: Urban-rural

    Community Food Products Geography

    Shopping Media Future City SizeSports Achievement Culture Stage in the life Cycle

    Recreation & Health Politics Morality Media: what they read,

    watch & listen, eg: TV,

    Radio, newspapers.

    Source: Joseph T. Plummer, Journal of Marketing, January 1974, p.34.

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    Levels ofMeasurement

    NOMINAL ORDINAL

    INTERVAL

    RATIO

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    NOMINAL MEASUREMENT

    NOMINAL: values ofa nominal variable

    consists ofa list ofnames:

    FMalay, Chinese, Indians, Others

    FPoliceman, Fireman, Postman, Superman

    FBaby, Toddler, Young, Teenager, Youth, Men, Elderly

    FMale, Female

    FYes, No, Neutral

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    NOMINALMEASUREMENT

    NOMINALmeans:

    Categorical: placed in several categories

    Answers tell nothing about degree or amount

    Exhaustive (Gender), sometimes we add

    othersto make it exhaustive

    Mutually Exclusive, there is no more than one

    answer(instruct to check only one answer)

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    NOMINAL MEASUREMENT

    Giving numbers to nominal variable does not

    make it quantitative 1 for Male and 2 for Female does not mean

    anything quantitative

    No qualities ofnumbers: 2 is not bigger than 1

    It is just a manner to classify people into Male

    or Female (Male is Group 1, Female is Group 2)

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    NOMINAL MEASUREMENT

    No mathematical properties

    Cannot add or multiply Cannot add and then take average

    Except for some nominal variables which have

    Absolute Values:

    Age, Income, ?

    Should use absolute value so that we can regress

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    NOMINALMEASUREMENT

    Absolute values allow determining averages

    (average age, average income, etc) Can regress to see effects on the dependent

    variable

    Otherwise be happy with Dummy Variables

    Present (Yes) Not Present (No), and the effects

    Rather incomplete explanation

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    NOMINALMEASUREMENT

    Assigning numbers to nominal variables allow us to do

    certain statistical analyses

    Are comparable: significant differences across

    categories ofnominal variables

    Are the differences in incomes between males and

    females for the same job?

    Do the Malays or the Non-Malays save more?

    Are urban Malays more Politically conscious than rural

    Malays?

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    ORDINALMeasurement

    Mutually Exclusive and Generally Exhaustive

    Values can be rankordered

    Like high, medium and Low in Socio-economic

    Status

    Higher economic status is higher than low

    economic status But does not tell How much difference or how

    much higher it is

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    ORDINALMeasurement

    Likert Scale measuring agreement is also

    ORDINAL scale RangingfromStrongly Disagree toStrongly

    Agree

    Measures only the AgreementorDisagreement

    but not how much people agree or disagree

    i.e: Agreement in terms ofless or more

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    ORDINALMeasurement

    Example ofOrdinal measures: the Likert Scale

    The food at Restaurant Sri Melaka is delicious: Strongly Disagree Disagree NeitherA gree StronglyAgree

    (1) (2) (3) (4) (5)

    Points are not absolute, but continuous

    Delicious is here in a continuum

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    INTERVAL& RATIO Measurement

    Have all Properties ofOrdinal and Interval

    Mutually Exclusive, Generally Exhaustive andcan be rank-ordered

    Additional property is that the difference is

    meaningful

    One is much bigger than the other by a value

    True quantitative measurement

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    INTERVAL& RATIO Measurement

    Quantitative Measurement like in measures of

    temperature The difference between 30 degrees and 40

    degrees is 10

    The same as between 10 degrees and 20 degrees

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    INTERVAL& RATIO Measurement

    Ratio Measurement has ZeroProperties

    0 means non-existence 0 age? 0 Ringgit? 0 years married? 0

    population size?

    Can a person be 0 years old?

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    Rules ofMeasurement

    Always measure at the highest measure

    possible

    Measure interval orratio ifyou can instead

    ofordinal or nominal

    i.e: better to measure income in Ringgit

    instead ofcategories ofincome

    Years ofeducation is better than

    qualification

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    Rules ofMeasurement

    Knowing RM value ofincome can turn into

    categories (nominal) High, medium, low

    But we cannot turn categories into actual value

    ofincome (interval orratio)

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    Rules ofMeasurement

    Numberingfollows mathematical properties

    and rules ofnature Goodor positive values carries higher value

    than BadorNegative values

    As shown earlier, Food is delicious

    StronglyAgree means 5 compared toStrongly

    Disagree which carries 1

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    Rules ofMeasurement

    What happens ifyou accidentally coded the

    opposite? Delicious as 1, Not delicious as 5

    Reverse Score when input the data

    Otherwise your mean values are going to be

    funny

    You go against nature

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    Points toPonder

    Why is the best student in class rated as 1, while

    the least best, rated as 50 or more?

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    MATHEMATICALPROPERTIES OF MEASURING

    SCALES: SUMMARY

    Type Numerical Operations

    Nominal Counting: frequency and percentages, mode or

    determine the numberofobservations in each

    category cannot add or minus. 20 Males minus

    10 Females is meaningless.

    Ordinal Rank-ordered from lowest to highest. Positionmay be in a percentile ranksuch as the median,

    range, percentile ranking. Can assume nominal

    scale operations.

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    MATHEMATICALPROPERTIES OF

    MEASURING SCALES: SUMMARY

    Type Numerical Operations

    Interval Equal interval property allows comparison of

    differences between scale values (1,2,35).

    Permit arithmetic operations such as addition

    and subtraction, means and standard deviation.

    Ratio Has all the properties ofnominal, ordinal, andinterval scales. Have absolute magnitude as the

    scale has absolute zero point. Arithmetic

    operations permissible.

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    ATTITUDE MEASUREMENT

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    ATTITUDE

    Defined:

    An enduring disposition to respond consistently

    in a given manner to various aspects of theworld

    Consider this statement:

    Fatimah loves working in Petronas. She

    believes it is clean, easily accessible, and paysthe best salary amongst GLC. She intends to

    workthere until she retires

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    ATTITUDE MEASUREMENT

    Three components in the above statement:

    FAffective: feelings oflike, love, etc

    FCognitive: beliefor cognition, that it is

    good.

    FAlso indicates evaluative element

    F

    Behavioral: containing behavioralintention, likeI will work there until I

    retire. Intention is an estimate ofbehavior

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    ATTITUDE MEASUREMENT

    Three-faceted dimensions ofattitude

    To be considered in all attitudemeasurement

    Using several scale to measure the

    dimensions ofattitude

    Commonly does in business and

    organizational study

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    ATTITUDE MEASUREMENT

    Attitude is an hypothetical construct

    To measure attitude, we must inferfrom an

    individuals response

    Not directly observable

    But measured through indirect indicators

    such as verbal expressions and overt behavior

    Ultimately, we are taking inferences from the

    behavior with a certain level ofuncertainty

    (error)

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    ATTITUDE as an hypothetical construct

    Love is a 4-letter word? It is also an hypothetical

    construct--that is a term that psychologists use to describe

    or explain consistent patterns ofhuman behavior. Love,hate, thirst, intelligence--all ofthese are hypothetical

    constructs. They are hypothetical in that they do not exist

    as physical entities: therefore they cannot be seen, held

    felt or measured directly. There is no love center in the

    brain that, ifremoved, would leave a person incapable ofresponding, positively and affectionately, towards other

    people and things.

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    ATTITUDE MEASUREMENT

    Techniques for MeasuringAttitude

    Ranking: rankorder a small numberofitems based on

    overall preference Rating: estimate the magnitude ofa characteristic or

    quality that an object has

    Sorting Technique: arrange in orderofseveralproduct concepts (for example presented in cards, sorting of

    cigarette packs based on certain concepts of quality)

    Choice Technique: choosingone or two morealternatives

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    ATTITUDE RATING SCALE

    Several rating scales used in business research

    Simple Attitude Scale involving Self-ratingon

    Agree-Disagreecontinuum On a statement specifically designed regarding a

    particularobject, thingor people

    Eg: UNIRAZAKis a good university to study MBA

    SD D N A SA1 2 3 4 5

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    Job Description Index

    Also a simplified scale

    Measures Job Satisfaction

    On elements like pay, promotion, co-workers,

    supervision, and quality ofwork

    Eg: Thinkofyour present work. What is it like

    most ofthe time? (Circle either one)

    Fascinating YesNo ? Routine YesNo ?

    Satisfying YesNo ?

    Selected Category Scales

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    Excellent Good Fair Poor

    Very Good Fairly Good Neither Not Very Good Not Good at All

    Well Above Average Above Average Average Below Average Well Below Average

    Quality

    Very Important Fairly Important Neutral Not So Important Not at all Important

    Importance

    Very Interested Somewhat Interested Not Very Interested

    Interest

    Very Satisfied Somewhat Satisfied Neither Somewhat Dissatisfied Very Dissatisfied

    Very Satisfied Quite Satisfied Somewhat Satisfied Not at All Satisfied

    Satisfaction

    All of the Time Very Often Often Sometimes Hardly Ever

    Very Often Often Sometimes Rarely Never

    All of the Time Most of the Time Some of the Time Just Now and Then

    Frequency

    Very True Somewhat True Net Very True Not At All True

    Definitely True More True than False More False than True Definitely Not True

    Truth

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    Summated Ratings: Likert Scales

    From 3 points to 5 to 7 points

    Agreement-disagreement, approve-disapprove,

    excellent-bad, etc Measuring attitudes, emotions, orientations

    But ofmulti-dimensional nature

    Each statement must be in positive form to

    score in escalatingorder (1-5)

    Negative statement in descendingorder (5-1)

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    Example ofLikert Scales

    Measuring Items

    SD D N A SA

    1 2 3 4 5

    I always read fashion magazine 1 2 3 4 5

    I like to buy clothes of the latest fashion 1 2 3 4 5

    I always wear jeans when I go outing 1 2 3 4 5

    My hobby is to sew childrens clothes 1 2 3 4 5

    A mother should take leave when her child is sick 1 2 3 4 5

    I like to put clothes of the latest fashion on my girls 1 2 3 4 5

    A housewife should be able to cook well 1 2 3 4 5

    I like driving cars 1 2 3 4 5

    Washing family clothes becomes my task as a mother 1 2 3 4 5I like to bake cakes and traditional kueh 1 2 3 4 5

    Decorating house should be the responsibility of a woman 1 2 3 4 5

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    Summated Ratings

    Semantic Differentials (Osgoods)

    Usually a 7-point scale, bi-polar adjectives

    Negative-positive continuum like bad-good

    Eg: Parking at MaybankHQ

    Insufficient ---:---:---:---:---:---:---: Sufficient

    1 2 3 4 5 6 7

    Parking at Public BankHQ

    Insufficient ---:---:---:---:---:---:---: Sufficient

    1 2 3 4 5 6 7

    Scores can also be +3, +2, +1, 0, -1, -2, -3

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    Summated Ratings: Constant-Sum Scales

    Assumes Semantic Differentials provides interval

    data

    But Semantic Differentials has only ordinalproperties

    Bi-polar adjectives can be replaced with phrasesSavings Account at Maybankgives:

    Low interest on savings ---:---:---:---:---:---:---: High interest on saving

    1 2 3 4 5 6 7

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    Summated Ratings: Constant-Sum Scales

    Allocate scores or points among several attributes

    to ADD to 100

    Respondents may be asked to divide the points to

    indicate the relative importance ofeach attribute:eg: rating different courier companies:

    DHL UPS TNT POSLAJU

    Delivered as

    Promised

    Accurate Invoicing

    LowerPrice

    100 100 100 100

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    Summated Ratings: Stapel Scales

    Measure the direction and attitude

    simultaneously

    Use a single adjective instead ofbi-polar

    Modified version place adjective to be

    measured in terms ofdistance or closeness

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    Stapel Scales

    Supervisors name

    +3

    +2+1

    Supportive

    -1-2-3

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    Attitude Scales Measuring Behavioral Intentions

    Behavioral Intentions as an estimate of

    behavior

    The propensity or likelihood to behave,judged from the expression ofintention

    Using such terms as likely, probably,

    certain etc.

    Within the context ofattitude study

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    Behavioral Intentions

    First make up sentences using phrases

    like I would or will

    To indicate action tendencies havingprobabilities

    From 5- to 7- point scale but still ordinal,

    assumed interval

    Three different ways ofdoing it

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    Behavioral Intentions

    I would write a letter to my memberofparliament in

    support ofthis company ifit were in a dispute with

    the government?

    Extremely Likely

    Very Likely

    Somewhat Likely

    Likely, about 50-50

    Somewhat Unlikely

    Very Unlikely

    Extremely Unlikely

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    Behavioral Intentions

    Still behavioral intention measurement

    Subject and intention or likelihood

    Quite similar in form to Semantic Differentials

    Eg: A teenage school girl

    Would ---:---:---:---:---:---:---: Would not

    hesitate to smoke in publicCan be a 5-, 7- or 9- point scale

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    Ranking: paired comparison

    Rankorder in terms ofpreferences

    From most preferred to least preferred A set ofobjects or attributes

    Comparing two different products or brands

    based on selected attributes

    Toknow the preference for a particular product

    or brand

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    Ranking: paired comparison

    Example ofRanking

    Please rankaccording to you preference the

    following two brands oftoilet soap: LUX and

    PALMOLIVE

    - Lux is better ------

    - Palmolive is better ------

    - They are the same ------

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    SORTING

    Used in a variety ofproduct and brand research, to

    indicate consumer attitude and beliefs: using cards

    Thoroughly shuffle deckofcards

    Hand respondent the deck

    Askrespondents to sort cards into two piles:

    TDefinitely Not Seen or Heard

    TDefinitely Seen or Heard

    Set AsideDefinitely Not Seen orHeardpile

    Hand respondent theDefinitely or Possible Seen or Heard

    Have respondent identify the item on each card in the

    Definitely or Possible Seen or Heardpile

    Record on questionnaire

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    SORTING

    In cigarette brands study, smokers are asked to sort

    boxes ofdifferent brands ofcigarettes into different

    piles

    After sorting into piles, askthem what are the criteria

    ofthem sorting the cigarette boxes

    Criteria can be: price, quality, image, taste, etc

    Determine where do they place theirown brand

    In this way, manufacturers can determined attitude of

    smokers towards different brand

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    Choice ofMeasurement Scales There is no single best answer but depending

    on:

    Objective ofthe study

    What to achieve from the study

    Who are the respondents? Their educational level?

    How to administer the questionnaire? Face-face-face?

    Mail? Telephone? Web?

    How long is the interview? Estimate ofthe analysis techniques. Statistics to be used

    will depend on scale: Nominal? Ordinal? Interval?

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    Index Behavior is multidimensional, and not

    sufficient just by one measure

    A concept needs more than one measure to beadequate, to cover many attributes

    Index is a measure ofseveral attributes

    Alsoknown as composite measures

    Index ofSocial Class:place of residence,occupation, wealth and education

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    Units ofAnalysis

    Must decide whoor what is the unit of

    analysis

    Units or targets that you want to measure

    Ifyou study the household income who do

    you talkto?

    Ifyou study personal income, who do you talkto?

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    Units ofAnalysis

    Why bother the difference between personal

    and household income?

    Who do you target in marketing?

    Consumer and Buyer

    Who do you talktofor cereals, the mother

    or the kid? Dogfood, to the dog?

    Why differentiate between them?

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    Units ofAnalysis

    When studying the organization always talkto

    the relevant people

    Unit ofAnalysis fororganization like a library

    is not the library but the librarian

    Always decide who is the most relevant to talk

    to as your target respondent To decide, always lookbackat your study

    objectives

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    Units ofAnalysis

    Always decide on the lowest level ofthe unit of

    analysis than the highest

    Measuring the lowest level allows you toaggregate, but not vice versa

    Ifyou measurepersonal income you can

    aggregate to become household income

    Ifyou measure household income, you haveproblem ofaccuracy to disaggregate topersonal

    income

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    Validity and Reliability

    Measurement, like pounds, grams in

    engineering is universally accepted

    Valid and Reliable measure ofweights

    Not so in Social Science, especially in

    measuring behavior

    Measuring something intangible

    Validity and Reliability will always remain

    an issue but must exist in any research

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    Validity

    Defined as:

    accuracy and trustworthiness ofinstruments,

    data and findings:

    Is CGPA a valid measure ofintelligence?

    IfCGPA is strongly linked to intelligence, then

    CGPA is a valid measure Sometimes it is, sometimes it is not

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    Validity

    An instrument is valid ifthe answer is valid

    Ifyou askHow old are you?

    The answer is always in so many years, and thatprove validity

    But ifthe answer is pounds or liter, than the

    question is not valid

    That is one way to determine the validity ofa

    measuring instrument

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    Validity

    Validity exists when an instrument measures

    what it supposes to measure

    Like in the case ofthe question,How old are

    you?

    And ifeveryone agrees that on the face ofit, the

    question measures age Then, the question hasface validity

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    Validity

    There is also Content Validity

    Defined as An instrument that has appropriate

    content for measuring a complex concept

    Complex Concepts such aspolitical affiliation,

    unprotestingtolerance, work alienation

    There are meanings to these concepts and

    usually as a start are determined throughdefinition (dictionary)

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    Content Validity

    How do we assign values (numbers)to measurement(operationalize)

    Politically Active Person by different levels:

    Vote at General Election

    Attend Political Rally

    Contribute to a Political Party

    Become a memberofa Political Party

    Assume position in Party Structure

    How do you assign scores for these?

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    Content Validity

    How do we measure Socio-economic Status?

    Not sufficient with just one variable A proxy ofa few variables

    Income, education, occupation, status within

    the society and wealth

    All these criteria agreed by a panel ofexperts

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    Construct Validity

    Construct have to be well defined

    Have most ifnot all the contents That is:

    The construct itselfhas all the properties that it is

    supposed to measure

    Construct itselfmust be thoroughly investigated

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    Validity Test: FactorAnalysis

    Items measuring same concept should be the

    same orgrouped together FactorAnalysis groups same items together

    This is concept validity or construct validity test

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    Example ofFactorAnalysis: Womens Lifestyles

    Measuring Items

    Factor Loadings

    I II III IV V

    I always read fashion magazine .80 .23 .12 .75 .01

    Buying new fashion clothes is my hobby .75 .05 .21 .11 .31I always wear jeans when I go out for recreation .68 .00 .02 .98 .11

    My hobby is to sew by childrens clothes .02 .78 .01 .10 .10

    A mother should take leave from work when her child is sick .03 .82 .03 .09 .01

    I like to dress up my daughter with clothes of the latest fashion .90 .43 .03 .07 .04

    A housewife should know how to cook well .12 .82 .11 .11 .07

    I love to drive .90 -.1 .10 .88 .17

    Washing my family clothes is the responsibility of a mother .17 .78 .01 .07 .03

    I like to bake cake than make traditional kueh .12 .65 .78 .05 .01

    House cleaning should be the responsibility of a woman .14 .75 .80 .05 .02

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    Criterion-related Validity

    When one type ofinstrument is identical in

    measurement to another valid instrument

    Take twofollowing measures ofage:

    When (what year) did you start schooling?

    (work forward to determine the age, assuming that

    children start schooling at the age of 7)

    How old are you?

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    Criterion-related Validity

    When (what year) did you start schooling?

    (work back to determine the age, assuming that

    children start schooling at the age of 7)

    How old are you?

    Ifthey produce identical answers, then the first

    measure has the criterion validity.

    How old are you? Is a valid measure ofage. BothMeasures should correlate well?

    Why?

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    Reliability ofMeasures

    Do you get the same answer by using an

    instrument to measure something more than

    once? Ifyes, the instrument is reliable

    Ifyou dip a thermometer in a pot ofboiling

    water, it should read 212 degrees Fahrenheit

    Even ifyou repeat, provided it is at sea level

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    Reliability ofMeasures

    Has something to do with repeated measures

    An instrument is reliable, ifmeasured

    somethingover and over again, producesidentical results

    Questions are reliable ofthey produce

    identical answers

    How old are you? Will produce the same

    answer every time

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    Reliability Test

    RELIABLE means:

    Measures correctly every time and repeatedly

    Repeated measure is one test ofreliability

    Similarresults are obtained every time and

    across different times

    Defined as: thedegree to which measures are free oferror andtherefore yieldconsistent results

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    Reliability Test

    RELIABILITY

    Affected when measuring is not stable,

    assigning numbers inconsistently

    Ifnumbers are reversed, inconsistencyleads to unreliable measures

    Strongly

    Disagree Disagree Neither Agree

    Strongly

    Agree

    1 2 3 4 5

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    TEST OF RELIABILITY

    Test-retest method

    Administering the same measures twice to thesame respondents at different times

    Checkfor stability: Does the response differ?

    Unpredictable results every time denotesunreliability due error in measurement

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    Reliability Test

    Test-retest method reliability may have

    problems especially in longitudinal studies

    First measures may sensitize respondents,

    subsequently influence the second result

    But Attitude change may occur when the time

    in between measurements is too long This is attitude change, and caution it may not

    be unreliability

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    Reliability Test

    Internal Consistency denotes homogeneity

    Measuring a concept (attitude) requires more

    than ONEquestions

    Do all questions measure the same thing?

    Measuring the same thing denotes internal

    consistency Ifthey are the same (consistency), the

    measures are reliable

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    TEST OF RELIABILITY

    Equivalent-form Method

    Two alternative instruments (questionnaires)

    designed as equivalent

    Administer to same group ofrespondents

    Correlation between the two instruments

    denote reliability

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    Graduate School of Business Universiti Tun Abdul Razak

    Reliability Test

    Cronbachs

    Cronbachs can be defined as a function ofthenumberor test items AND the average inter-correlation among the items

    Available through SPSS

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    Reliability Test

    CRONBACHS

    = N.rl+ (N l).r

    Where: N=Numberofitems

    r=average inter-item correlation