/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q91E Question: Workplace bullying and... [FREE SOLUTION] | 91影视

91影视

Question: Workplace bullying and intention to leave. Workplace bullying has been shown to have a negative psychological effect on victims, often leading the victim to quit or resign. In Human Resource Management Journal (October 2008), researchers employed multiple regression to examine whether perceived organizational support (POS) would moderate the relationship between workplace bullying and victims鈥 intention to leave the firm. The dependent variable in the analysis, intention to leave (y), was measured on a quantitative scale. The two key independent variables in the study were bullying (, measured on a quantitative scale) and perceived organizational support (measured qualitatively as 鈥渓ow,鈥 鈥渘eutral,鈥 or 鈥渉igh鈥).

  1. Set up the dummy variables required to represent POS in the regression model.
  2. Write a model for E(y) as a function of bullying and POS that hypothesizes three parallel straight lines, one for each level of POS.
  3. Write a model for E(y) as a function of bullying and POS that hypothesizes three non-parallel straight lines, one for each level of POS.
  4. The researchers discovered that the effect of bullying on intention to leave was greater at the low level of POS than at the high level of POS. Which of the two models, parts b and c, support these findings?

Short Answer

Expert verified

Answer

  1. To represent k levels, (k-1) no of variables will be introduced in the model. Let鈥檚 say represents low level of POS while x2 represents neutral level of POS.
  2. A model without interaction can be written asE(Y)=0+1x1+2x2+3x3
  3. A model with interaction can be written asE(Y)=0+1x1+2x2+3x3+4x1x2+5x2x3
  4. Model written in part c will be a better fit for the data since the researchers have concluded that there is some interaction between the two variables.

Step by step solution

01

Dummy variables for qualitative variable

The qualitative variable here is perceived organizational support (POS) which has 3 levels of low, neutral and high. To represent k levels, (k-1) no of variables will be introduced in the model. Let鈥檚 say x1represents low level of POS while x2 represents neutral level of POS.

02

Model for E(y)

A model for E(y) as a function of bullying and POS that hypothesizes three parallel straight lines, one for each level of POS will be represented by a model without any interaction amongst the variables.

E(Y)=0+1x1+2x2+3x3

Therefore, a model without interaction can be written as

Where,x1= low level of POS

x2 = neutral level of POS.

x3= bullying

03

Reproduction for E(y)

A model for E(y) as a function of bullying and POS that hypothesizes three nonparallel straight lines, one for each level of POS will be represented by a model with interaction amongst the variables.

Therefore, a model with interaction can be written as

E(Y)=0+1x1+2x2+3x3+4x1x2+5x2x3

Where, x1= low level of POS

x2 = neutral level of POS.

x3= bullying

04

Imitation fit for the data

The researchers have concluded that the effect of bullying on intention to leave (y) was greater at low level of POS than at high level of POS indicating that there is some interaction amongst the two variables; bullying and level of POS.

Hence, model written in part c will be a better fit for the data.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91影视!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Question: Consider the model:

y=0+1x1+2x2+3x3+

where x1 is a quantitative variable and x2 and x3 are dummy variables describing a qualitative variable at three levels using the coding scheme

role="math" localid="1649846492724" x2=1iflevel20otherwisex3=1iflevel30otherwise

The resulting least squares prediction equation is y^=44.8+2.2x1+9.4x2+15.6x3

a. What is the response line (equation) for E(y) when x2 = x3 = 0? When x2 = 1 and x3 = 0? When x2 = 0 and x3 = 1?

b. What is the least squares prediction equation associated with level 1? Level 2? Level 3? Plot these on the same graph.

Question: Bordeaux wine sold at auction. The uncertainty of the weather during the growing season, the phenomenon that wine tastes better with age, and the fact that some vineyards produce better wines than others encourage speculation concerning the value of a case of wine produced by a certain vineyard during a certain year (or vintage). The publishers of a newsletter titled Liquid Assets: The International Guide to Fine Wine discussed a multiple regression approach to predicting the London auction price of red Bordeaux wine. The natural logarithm of the price y (in dollars) of a case containing a dozen bottles of red wine was modelled as a function of weather during growing season and age of vintage. Consider the multiple regression results for hypothetical data collected for 30 vintages (years) shown below.

  1. Conduct a t-test (at=0.05 ) for each of the parameters in the model. Interpret the results.
  2. When the natural log of y is used as a dependent variable, the antilogarithm of a b coefficient minus 1鈥攖hat is ebi - 1鈥攔epresents the percentage change in y for every 1-unit increase in the associated x-value. Use this information to interpret each of the b estimates.
  3. Interpret the values of R2and s. Do you recommend using the model for predicting Bordeaux wine prices? Explain

Question:If the analysis of variance F-test leads to the conclusion that at least one of the model parameters is nonzero, can you conclude that the model is the best predictor for the dependent variable ? Can you conclude that all of the terms in the model are important for predicting ? What is the appropriate conclusion?

Question: Reality TV and cosmetic surgery. Refer to the Body Image: An International Journal of Research (March 2010) study of the impact of reality TV shows on a college student鈥檚 decision to undergo cosmetic surgery, Exercise 12.43 (p. 739). The data saved in the file were used to fit the interaction model, E(Y)=0+1x1+2x4+3x1x4, where y = desire to have cosmetic surgery (25-point scale),x1= {1 if male, 0 if female}, and x4= impression of reality TV (7-point scale). From the SPSS printout (p. 739), the estimated equation is:y^=11.78-1.97x1+0.58x4-0.55x1x4

a. Give an estimate of the change in desire (y) for every 1-point increase in impression of reality TV show (x4) for female students.

b. Repeat part a for male students.

Question: Job performance under time pressure. Time pressure is common at firms that must meet hard and fast deadlines. How do employees working in teams perform when they perceive time pressure? And, can this performance improve with a strong team leader? These were the research questions of interest in a study published in the Academy of Management Journal (October, 2015). Data were collected on n = 139 project teams working for a software company in India. Among the many variables recorded were team performance (y, measured on a 7-point scale), perceived time pressure (, measured on a 7-point scale), and whether or not the team had a strong and effective team leader (x2 = 1 if yes, 0 if no). The researchers hypothesized a curvilinear relationship between team performance (y) and perceived time pressure (), with different-shaped curves depending on whether or not the team had an effective leader (x2). A model for E(y) that supports this theory is the complete second-order model:E(y)=0+1x1+2x12+3x2+4x1x2+5x12x2

a. Write the equation for E(y) as a function of x1 when the team leader is not effective (x2= 0).

b. Write the equation for E(y) as a function ofwhen the team leader is effective (x2= 1).

c. The researchers reported the following b-estimates:.

0^=4.5,1^=0.13,3^=0.15,4^=0.15and5^=0.29Use these estimates to sketch the two equations, parts a and b. What is the nature of the curvilinear relationship when the team leaders is not effective? Effective?

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.