What is reactivity?
> Because there seems to be a tradeoff between accuracy and confidence for any given sample size, accuracy should be always considered more important than precision. Explain with reasons, why you would or would not agree with this statement.
> Nonprobability sampling designs ought to be preferred to probability-sampling designs in some cases. Explain with an example.
> Use of a sample of 5,000 is not necessarily better than having a sample of 500. How would you react to this statement?
> The use of a convenience sample in organizational research is correct because all members share the same organizational stimuli and go through almost the same kinds of experiences in their organizational life. Comment.
> a. Explain what precision and confidence are and how they influence sample size. b. Discuss what is meant by the statement: “There is a trade‐off between precision and confidence under certain conditions.
> a. Explain why cluster sampling is a probability sampling design. b. What are the advantages and disadvantages of cluster sampling? c. Describe a situation where you would consider the use of cluster sampling.
> Why do you think the sampling design should feature in a research proposal?
> Identify the relevant population for the following research foci, and suggest the appropriate sampling design to investigate the issues, explaining why they are appropriate. Wherever necessary, identify the sampling frame as well. a. A company wants to
> The Standard Asian Merchant Bank is a Malaysian merchant bank headquartered in Kuala Lumpur. The bank provides financial services in asset management, corporate finance, and securities broking. Clients of The Standard Asian Merchant Bank are among others
> Construct a semantic differential scale to assess the properties of a particular brand of tea or coffee.
> Explain why it does not make sense to assess the internal consistency of a formative scale.
> Describe the difference between formative and reflective scales.
> Briefly describe the difference between attitude rating scales and ranking scales and indicate when the two are used.
> Discuss the ethics of concealed observation.
> Why is the ratio scale the most powerful of the four scales.
> Tables 15.A to 15.D below summarize the results of data analyses of research conducted in a sales organization that operates in 50 different cities of the country and employs a total sales force of about 500. The number of salespe
> Open the file “resmethassignment1” (you created this file doing the exercise from the previous chapter). Answer the following questions. a. Is the exam grade significantly larger than 75? b. Are there significant differences in the exam grade for men a
> Does work shift moderate the relationship between job satisfaction and intention to leave for Excelsior Enterprises employees?
> Provide the tolerance values and the variance inflation factors for all the independent variables in model 1. Discuss: do we have a multicollinearity problem?
> Discuss: what do the unstandardized coefficients and their p‐values in the first model imply? In other words, what happens to job satisfaction if perceived justice, burnout, and job enrichment change by one unit?
> Provide a logical explanation for the negative moderating effect of laptop possession.
> Is laptop possession a pure moderator or a quasi-moderator? Explain
> Why could it be important to differentiate between quasi moderators and pure moderators?
> Whenever possible, it is advisable to use instruments that have already been developed and repeatedly used in published studies rather than develop our own instruments for our studies”. Do you agree? Discuss the reasons for your answer.
> Use the data of the Excelsior Enterprises case to estimate the effect of work shift on job satisfaction.
> The Standard Asian Merchant Bank is a Malaysian merchant bank headquartered in Kuala Lumpur. The bank provides financial services in asset management, corporate finance, and securities broking. Clients of The Standard Asian Merchant Bank are among others
> Provide the equation for workers in the second shift.
> The MBA programme of a small Business School in the United States has always welcomed diversity in its student body and staff. Students from different countries come together in a multicultural classroom where they can share their ambitions for a career
> What are the main steps in qualitative data analysis?
> What is qualitative data? How do qualitative data differ from quantitative data?
> Below is an adapted note from Business Week published some time ago. After reading it, apply what you have learned in this chapter, and design a study after sketching the theoretical framework. The Vital Role of Self-Esteem Why do some people earn more t
> The job involvement measure described in the appendix is reflective in nature.” Comment on this statement.
> Why is analytic induction inductive (rather than deductive) in nature?
> Discuss the advantages and disadvantages of personal and telephone interviews.
> One of the main advantages of observation is its directness.” Discuss.
> How does participant observation differ from structured observation?
> Define measurement.
> Discuss four dimensions that distinguish various approaches to observation.
> Describe the key purpose of observation.
> The McArthur Co. produces special vacuum cleaners for conveniently cleaning the inside of cars. About a thousand of these are produced every month with stamped serial numbers and stored serially in a stock room. Once a month, an inspector does a quality
> Design a questionnaire that you could use to assess the quality of your on‐campus dining facilities. Make sure you can test the following hypotheses: H1: There is a positive relationship between the service quality of the on‐campus dining facilities and
> Discuss the advantages and disadvantages of personally administered, questionnaires, mail questionnaires, and electronic questionnaires.
> When we collect data on the effects of treatment in experimental designs, which statistical test would be most appropriate to test the treatment effects?
> Consider the following reliability analysis for the variable customer differentiation. What could you conclude from it? Reliability analysis-scale (alpha) Item-total statistics Scale Scale Corrected Alpha if item deleted Mean if item Variance if it
> A researcher wants to provide an overview of the gender of the respondents in his sample. The gender is measured like this: What is your gender? 0 Male 0 Female What is the best way to provide an overview of the gender of the respondents?
> A valid instrument is always reliable, but a reliable instrument is not always valid”. Comment on this statement.
> What does coding the data involve?
> What activities are involved in getting the data ready for analysis?
> A disadvantage of observation is observer bias. Discuss at least two ways of minimizing observer bias.
> What is meant by operational definition, when is it necessary, and why is it necessary?
> How does a simple checklist differ from a sequence record on time-scale?
> Is it possible to test hypotheses with structured observation? Why (not)?
> Why is it wrong to use correlates of a concept to measure that concept?
> Since we cannot directly observe achievement motivation, job satisfaction, and service quality, these are not appropriate topics for a scientific study.” Discuss this statement.
> Explain why it is impossible to measure an object.
> Is it useful to draw on existing measures to measure abstract and subjective constructs such as for instance customer loyalty? Why (not)?
> Xavier Gonzalez Garcia is a Business Administration student at a big, reputable university in England. Xavier loves to play soccer and tennis, he very much enjoys listening to music (he is a big fan of Muse), and he is fond of watching movies. He is a st
> Alter the VIDEO table to include an attribute named VID_STATUS to store character data up to 4 characters long. The attribute should not accept null values. The attribute should have a constraint to enforce the domain (“IN”, “OUT”, and “LOST”), and hav
> Describe the client/server model for application processing.
> Update the DETAILRENTAL table to set the values in DETAIL_RETURNDATE to include a time component. Make each entry match the values shown in the following table. RENT_NUM VID_NUM DETAIL_RETURNDATE 1001 34342 02-MAR-16 10:00am 1001 61353 03-MA
> Alter the DETAILRENTAL table to include a derived attribute named DETAIL_DAYSLATE to store integers up to 3 digits. The attribute should accept null values.
> Write a query to display the checkout number, check out date, and due date for every book that has been checked out (See Figure P7.67). (68 rows) FIGURE P7. 67 All Checkouts CHECK NUM CHECK OUT DATE CHECK DUE DATE 91001 3/31/2015 4/14/2015 91002 3/3
> Write the SQL command to change the movie year for movie number 1245 to 2010.
> Write a query that displays the first and last name of every patron (See Figure P7.66). (50 rows) FIGURE P7. 66 All Patron Names PAT FNAME PAT LNAME robert Kelsey Cedric carter Коch Baldwin Vera Alvarado Alan Martin Cory Peggy Tony Betsy Barry Marsh
> Write the SQL command to save the rows inserted in Problem 97.
> The following tables provide a very small portion of the data that will be kept in the database. This data needs to be inserted into the database for testing purposes. Write the INSERT commands necessary to place the following data in the tables that w
> Write the SQL code to create the table structures for the entities shown in Figure P7.96. The structures should contain the attributes specified in the ERD. Use data types that would be appropriate for the data that will need to be stored in each attri
> Write a query to display the total value of all books in the library (See Figure P7.95). FIGURE P7. 95 Total of All Books Library Value 1499
> Write a query to display the author ID and the number of books written by that author. Sort the results in descending order by number of books, then in ascending order by author ID (See Figure P7.94). FIGURE P7. 94 Number of Books per Author AU ID
> Write a query to display the subject and the number of books in each subject. Sort the results by the number of books in descending order, then by subject name in ascending order (See Figure P7.93). FIGURE P7. 93 Number of Books per Subject BOOK SU
> Write a query to display the number of different patrons who have ever checked out a book (See Figure P7.92). FIGURE P7. 92 Different Patrons to Checkout a Book DIFFERENT PATRONS 33
> Write a query to display the lowest book cost in the system (See Figure P7.91). FIGURE P7. 91 Least Expensive Book Price Least Expensive 49.95
> Write a query to display the highest book cost in the system (See Figure P7.90). FIGURE P7. 90 Most Expensive Book Price Most Expensive 129.95
> What basic database design strategies exist, and how are such strategies executed?
> Write a query that displays the book title, cost and year of publication for every book in the system. FIGURE P7. 65 The Ch07_FACT ERD CHECKOUT PATRON PK Check Num PK Pat ID FK1 Book_Num FK2 Pat_ID Check_Out_Date Check_Due_Date Check_In_Date ---H- P
> Write a query to display the number of books that are available (not currently checked out) (See Figure P7.89). FIGURE P7. 89 Number of Books not Currently Checked Out Available Books 14
> Write a query to display the number of different book subjects in the FACT system (See Figure P7.88). FIGURE P7. 88 Number of Different Subjects Number of Subjects 4
> Write a query to display the number of books in the FACT system (See Figure P7.87). FIGURE P7. 87 Number of Books Number of Books 20
> Write a query to display the author ID, first name, last name, and year of birth for all authors. Sort the results in descending order by year of birth, and then in ascending order by last name (See Figure P7.86). (Note that some DBMS sort NULLs as bein
> Write a query to display the checkout number, book number, patron ID, check out date, and due date for all checkouts that have not yet been returned. Sort the results by book number (See Figure P7.85). FIGURE P7. 85 Unreturned Checkouts CHECK NUM B
> Write a query to display the author ID, first and last name of all authors whose year of birth is known (See Figure P7.84). FIGURE P7. 84 Authors with Known Birth Year AU ID AU FNAME AU_LNAME Reeves 185 Benson 218 Rachel Beatney 251 Hugo Bruer 273 R
> Write a query to display the author ID, first and last name of all authors whose year of birth is unknown (See Figure P7.83). FIGURE P7. 83 Authors with Unknown Birth Year AU ID AU FNAME AU LNAME 229 Carmine Salvadore 262 Xia Chiang 559 Rachel McGil
> Write a query to display the patron ID, first and last name, and patron type for all patrons whose last name begins with the letter “C” (See Figure P7.82). FIGURE P7. 82 Patrons Whose Last Name Starts with â€
> Write a query to display the patron ID, first and last name of all patrons that are students (See Figure P7.81). (44 rows) FIGURE P7. 81 Student Patrons PAT ID PAT FNAME PAT LNAME 1166 Vera Alvarado 1171 Peggy 1172 Tony 1174 Betsy Marsh Miles Malone
> Write a query to display the book number, title, and year of publication for all books that contain the word “Database” in the title, regardless of how it is capitalized (See Figure P7.80). FIGURE P7. 80 Book Titles Co
> Write a query to display the manager name, department name, department phone number, employee name, customer name, invoice date, and invoice total for the department manager of the employee who made a sale to a customer whose last name is Hagan on May 18
> What is the relationship between the SDLC and the DBLC?
> Create a stored procedure named prc return_video enter data about the return of videos that had been rented. The procedure should satisfy the following requirements. a. The video number will be provided as a parameter. b. Verify the video number exists
> Create a stored procedure named prc_new_detail to insert new rows in the DETAILRENTAL table. The procedure should satisfy the following requirements. a. The video number will be provided as a parameter. b. Verify the video number exists in the VIDEO tab
> Create a stored procedure named prc_new_rental to insert new rows in the RENTAL table. The procedure should satisfy the following conditions. a. The membership number will be provided as a parameter. b. Use a Count() function to verify that the membersh
> Create a sequence named rent_num_seq to start with 1100, increment by 1, and not cache any values.
> Create a trigger named trg_mem_balance that will maintain the correct value in the membership balance in the MEMBERSHIP table when videos are returned late. The trigger should execute as an AFTER trigger when the due date or return date attributes are u
> Create a trigger named trg_late_return that will write the correct value to DETAIL_DAYSLATE in the DETAILRENTAL table whenever a video is returned. The trigger should execute as a BEFORE trigger when the DETAIL_RETURNDATE or DETAIL_DUEDATE attributes ar
> Update the PRICE table to place the values shown in the following table in the PRICE_RENTDAYS attribute. PRICE_CODE PRICE_RENTDAYS 1 5 2 3 3 5 4 7
> Alter the PRICE table to include an attribute named PRICE_RENTDAYS to store integers up to 2 digits. The attribute should not accept null values, and should have a default value of 3.
> Update the VID_STATUS attribute of the VIDEO table using a subquery to set the VID_STATUS to “OUT” for all videos that have a null value in the DETAIL_RETURNDATE attribute of the DETAILRENTAL table.
> Write a query to display the brand ID, brand name, brand type, and average price of products for the brand that has the largest average product price. FIGURE P7. 63 Brand with highest average price BRAND ID BRAND NAME BRAND TYPE AVGPRICE 29 BUSTERS
> Write a query to display the largest average product price of any brand. FIGURE P7. 62 Largest average brand price LARGEST AVERAGE 22.59
> Write a query to display the employee number, last name, first name, and sum of invoice totals for all employees who completed an invoice. Sort the output by employee last name and then by first name. FIGURE P7. 61 Total value of invoices completed by ea
> Write a query to display the vendor ID, vendor name, brand name, and number of products of each brand supplied by each vendor. Sort the output by vendor name and then by brand name. FIGURE P7. 60 Number of products of each brand supplied by each vendor
