Catano PPT Ch02 Student

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    2010 by Nelson Education Ltd. 2010 by Nelson Education Ltd. 1

    Chapter Two

    Measurement, Reliability &

    Validity

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    2010 by Nelson Education Ltd. 2010 by Nelson Education Ltd. 2

    Chapter Learning

    Objectives

    Understand the basic components that make up a traditional personnel

    selection model;

    Know what a correlation coefficient is, along with a few other basicstatistical concepts used in personnel selection;

    Have a good understanding of the concepts of reliability and validity;

    Recognize the importance and necessity of establishing the reliability and

    validity of measurements used in personnel selection;

    Identify common strategies that are used to provide evidence on the

    reliability and validity of measurements used in personnel selection; and

    Appreciate the requirement for measurements used in personnel selection

    to evaluate applicants fairly and in an unbiased fashion

    After reading this chapter you should be able to:

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    The Recruitment &

    Selection Process

    Correlation:

    Measure of central tendency and variability

    Useful for bigger sets of observations

    Measures the relationship between two variables (Doesnot imply causality!)

    Measures direction of influence (+ or -)

    Correlation coefficient (r) ranges from -1 to +1

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    The Recruitment &

    Selection Process

    Coefficient of Determination:

    Indication of the strength of a

    relationship between two

    variables is r squared.

    This value represents the

    proportion of variability in one

    variable that is associated with

    variability in another .

    4

    Variable

    1

    Variable

    2

    r2

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    The Recruitment &

    Selection Process

    Simple & Multiple Regression:

    The relationship between two variables can also be

    expressed in terms of a straight line. This is a

    regression line. (simple regression)

    Many practical situations involve more than two

    variables (multiple regression)

    Regression is often used to predict performance

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    The Recruitment &

    Selection Process

    Reliability:

    The degree to which observed scores are free from

    random measurement errors.

    Indication of the stability of a set of measurements

    over repeated applications of the measurement

    procedure

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    Methods of Estimating

    Reliability

    Measuring reliability

    Estimate the degree of variability that is caused by

    measurement error Estimate can be obtained by using two different but

    parallel measurements of the attributes

    Personal scores on both separate measures should be

    relatively consistent

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    Validity

    Validity

    Legitimacy or correctness of the inferences that are

    drawn from a set of measurements or other specified

    procedures.

    The degree to which accumulated evidence and

    theory support specific interpretations of test scores in

    the context of the tests proposed use.

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    Bias and Fairness

    Bias

    systematic errors in measurement or inferences made

    from measurements related to different identifiable group membership

    characteristics such as age, sex or race.

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    Bias and Fairness

    Fairness

    the value judgments people make about the decisions

    or outcomes that are based on measurements

    Based upon perceptions

    Cannot empirically or statistically be determined

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    Summary

    One goal of personnel selection is to use

    scientifically derived information to predict which

    job applicants will do well in the job. The procedures used to select employees must meet

    acceptable professional standards.