iWriteGigs

Fresh Grad Lands Job as Real Estate Agent With Help from Professional Writers

People go to websites to get the information they desperately need.  They could be looking for an answer to a nagging question.  They might be looking for help in completing an important task.  For recent graduates, they might be looking for ways on how to prepare a comprehensive resume that can capture the attention of the hiring manager

Manush is a recent graduate from a prestigious university in California who is looking for a job opportunity as a real estate agent.  While he already has samples provided by his friends, he still feels something lacking in his resume.  Specifically, the he believes that his professional objective statement lacks focus and clarity. 

Thus, he sought our assistance in improving editing and proofreading his resume. 

In revising his resume, iwritegigs highlighted his soft skills such as his communication skills, ability to negotiate, patience and tactfulness.  In the professional experience part, our team added some skills that are aligned with the position he is applying for.

When he was chosen for the real estate agent position, he sent us this thank you note:

“Kudos to the team for a job well done.  I am sincerely appreciative of the time and effort you gave on my resume.  You did not only help me land the job I had always been dreaming of but you also made me realize how important adding those specific keywords to my resume!  Cheers!

Manush’s story shows the importance of using powerful keywords to his resume in landing the job he wanted.

Chapter 7

Navigation   » List of Schools  »  California State University, Northridge  »  Sociology  »  Soc 497 – Research Methods  »  Spring 2019  »  Chapter 7

Need help with your exam preparation?

Below are the questions for the exam with the choices of answers:

Question #2
A  Mutually Exclusive Attributes
B  Concurrent Validity
C  Exhaustive attributes
D  Scale
Question #3
A  Ratio Level
B  Nominal Level
C  Ordinal Level
D  Exhaustive attributes
Question #7
A  Interval Level
B  Mutually Exclusive Attributes
C  Continuous Variables
D  Ordinal Level
Question #8
A  Criterion Validity
B  Nominal Level
C  Ordinal Level
D  Continuous Variables
Question #9
A  Levels of Measurement
B  Content Validity
C  Content Validity
D  Mutually Exclusive Attributes
Question #10
A  Mutually Exclusive Attributes
B  Construct Validity
C  Discrete Variables
Question #11
A  Exhaustive attributes
B  Likert Scales
C  Continuous Variables
D  Content Validity
Question #12
A  Construct Validity
B  Discriminant Validity
C  Construct Validity
D  Discriminant Validity
Question #13
A  Discriminant Validity
B  Construct Validity
C  Convergent Validity
D  Face Validity
Question #14
A  Construct Validity
B  Discriminant Validity
C  Predictive Validity
D  Construct Validity
Question #15
A  Concurrent Validity
B  Discriminant Validity
C  Content Validity
D  Discriminant Validity
Question #16
A  Predictive Validity
B  Criterion Validity
C  Face Validity
D  Construct Validity
Question #17
A  Predictive Validity
B  Criterion Validity
C  Construct Validity
D  Discriminant Validity
Question #18
A  Content Validity
B  Convergent Validity
C  Criterion Validity
D  Face Validity
Question #19
A  Content Validity
B  Convergent Validity
C  Face Validity
D  Criterion Validity
Question #20
A  Clearly conceptualize all constructs.
B  Use pilot studies and replication
C  conduct extensive research on the topic
D  Use multiple indicators of a variable
E  Increase the level of measurement
Question #21
A  Representative Reliability
B  Stability Reliability
C  Content Validity
D  Equivalence Reliability
Question #22
A  Representative Reliability
B  Equivalence Reliability
C  Face Validity
D  Stability Reliability
Question #23
A  Representative Reliability
B  Conceptual Definition
C  Equivalence Reliability
D  Stability Reliability
Question #24
A  Conceptual Definition
B  Discrete Variables
C  Face Validity
D  Operational Definition
Question #25
A  Stability Reliability
B  Operationalization
C  Conceptual Definition
D  Conceptualization
Question #26
A  Discrete Variables
B  Conceptualization
C  Conceptual Definition
D  Operational Definition