Theory X and Theory Y In his 1960 book‚ The Human Side of Enterprise‚ Douglas McGregor proposed two theories by which to view employee motivation. He avoided descriptive labels and simply called the theories Theory X and Theory Y. Both of these theories begin with the premise that management’s role is to assemble the factors of production‚ including people‚ for the economic benefit of the firm. Beyond this point‚ the two theories of management diverge. Theory X Theory X assumes that the average
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DOUGLAS MCGREGOR FLOW • PROFILE • WHY NOW ? .. • WORKS INTRO HIS STUDY • THEORY-X • THEORY-Y CONCLUSION • RELEVANCE • APPLICATIONS PROFILE-DOUGLAS MC GREGOR (1906-1964) He graduated Wayne State University PHD in Experimental Psychology(Harvard) He was Born Published his Theory of X & Y in the book “Human Side of Enterprise” Death 1906 1932 1935 1960 1964 HIS WORKS • Douglas Mc Gregor is one of the forefathers of contemporary management thinking over
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CORRELATION & LINEAR REGRESSION Prof. Jemabel Gonzaga-Sidayen Spearman rank order correlation coefficient rho (rs) • Spearman rho is really a linear correlation coefficient applied to data that meet the requirements of ordinal scaling • Formula: rs = 1 - 6 Σ D i 2 N3 - N – Di = difference between the ith pair of ranks – R(Xi) = rank of the ith X score – R(Yi) = rank of the ith Y score – N = number of pairs of ranks Try this Subject Proportion of Similar Attitudes (X) Attraction (Y) Rank of
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Linearity: A linear correlation coefficient factor was obtained between the peak area used and the absorbance Verses concentrations of lamivudine‚ zidovudine and nevirapine. The calibration curves were linear for concentrations between 15-150 µg/ml. The linearity of the calibration curves was validated by the values of the correlation coefficients (r2). The correlation coefficients were 0.999 for lamivudine‚ 0.999 zidovudine and 0.999 for nevirapine. The results of the linearity experiment are listed
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Introduction to Linear Regression and Correlation Analysis Goals After this‚ you should be able to: • • • • • Calculate and interpret the simple correlation between two variables Determine whether the correlation is significant Calculate and interpret the simple linear regression equation for a set of data Understand the assumptions behind regression analysis Determine whether a regression model is significant Goals (continued) After this‚ you should be able to: • Calculate and
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2‚000 2‚100 2‚200 1.60 1.00 0.07 0.05 Asset X Value Beginning 20‚000 22‚000 21‚000 24‚000 22‚000 23‚000 26‚000 25‚000 24‚000 27‚000 Ending 22‚000 21‚000 24‚000 22‚000 23‚000 26‚000 25‚000 24‚000 27‚000 30‚000 Beta (X) Beta (Y) Risk Free Rate EMPR a. Calculate the annual rate of return for each asset in each of the 10 preceding years‚ and use those v the average annual return for each asset over the 10-year period. Return (X) Return (Y) 15.00% 2.27% 20.95% -1.25% 13.18% 20.00% 2.69% 4
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Abstract Gratitude is known to be related to an optimistic and grateful outlook towards life and involves a positive predisposition in interpreting collective events throughout society. (Wood‚ Maltby‚ Gillett‚ Linley & Joseph‚ 2008) Typically‚ loneliness exists when a person’s social networks are fewer than expected and less satisfying than that person desires (Peplau & Caldwell‚ 1978). Researchers hypothesized that gratitude and loneliness have a negatively correlated relationship. This study looks
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DOKUZ EYLUL UNIVERSITY FACULTY OF BUSINESS CORRELATION BETWEEN RACE AND CLASS ÖZGE ÖZDEN 2009432081 INSTRUCTOR: ÖMÜR NECZAN TİMURCANDAY ÖZMEN 2012‚ İZMİR CONTENTS Abstract……………………………………………………………………………….ii Introduction…………………………………………..……………………………...iii A. Social stratification‚ social inequality‚ social division..………..………………..1-2 B. Social class……………………………………..…………….………………….2-3 B1. Sociological overview and theories of stratification and social class………….4-5 C. Races‚ ethnicity
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1 CORRELATION & REGRESSION 1.0 Introduction Correlation and regression are concerned with measuring the linear relationship between two variables. 1.1 Scattergram It is not a graph at all‚ it looks at first glance like a series of dots placed haphazardly on a sheet of graph paper. The purpose of scattergram is to illustrate diagrammatically any relationship between two variables. (a) If the variables are related‚ what kind of relationship it is‚ linear or nonlinear
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Correlation Chapter 10 Covariance and Correlation What does it mean to say that two variables are associated with one another? How can we mathematically formalize the concept of association? Differences between Data Handling in Correlation & Experiment 1. Summarize entire relationship • We don’t compute a mean Y (e.g.‚ aggressive behavior) score at each X (e.g.‚ violent tv watching). We summarize the entire relationship formed by all pairs of X-Y scores. This is the major advantage
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