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.

Module 6 Quiz

Navigation   » List of Schools  »  Glendale Community College  »  Psychology  »  Psychology 200 – Research Methods for Psychology  »  Fall 2022  »  Module 6 Quiz

Need help with your exam preparation?

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

Question #1
A  Results from factorial designs are always intuitive.
B  Results from factorial designs are typically straightforward and easy to interpret.
C  They allow researchers to understand the nuances of how variables interact.
D  They allow researchers to explore the construct validity of a theory.
Question #2
A  decrease power
B  collecting measurements from diverse groups of people
C  using a matched-groups design
D  using a between-groups design
Question #3
A  increasing unsystematic variance
B  using more reliable measurements
C  using less precise measurements
D  using a pretest/posttest design
Question #4
A  matched-groups designs
B  posttest-only designs
C  pretest/posttest designs
D  correlational designs
Question #5
A  They are problematic only in observational research.
B  They can be avoided with counterbalancing.
C  They are the same as testing threats.
D  They occur only when using mechanical instruments (e.g., blood pressure cuffs, scales).
Question #6
A  They can be caused by poorly designed dependent variables.
B  They cannot be detected by manipulation checks.
C  They are problematic only in pretest/posttest designs.
D  They don’t affect the results of a study.
Question #7
A  These designs are always possible.
B  These designs avoid order effects.
C  These designs avoid demand characteristics.
D  These designs rely on fewer participants.
Question #8
A  selection effects
B  practice effects
C  design confounds
D  demand characteristics
Question #9
A  They want to be able to generalize results to the population.
B  Researchers can seek out more diverse and representative participants.
C  Conducting an experiment in the laboratory is more expensive and time consuming.
D  Having a confound-free setting allows them to make causal claims.
Question #10
A  employing a pretest-only design
B  using a comparison group
C  establishing reliability of the measure
D  using a clear coding manual
Question #11
A  It is usually less important than a study’s main effects.
B  It can be determined by investigating marginal means.
C  It can exist even if the main effects are not significant.
D  There can be only one type of interaction.
Question #12
A  “How well was this variable manipulated?”
B  “How well was this variable measured?”
C  “How well was this variable explained to participants?”
D  “How well was this variable controlled by the experimenter?”
Question #13
A  when you do not have a control group
B  when you have only a few people in your study
C  when you have a complex dependent variable
D  when you have at least three levels/conditions of the independent variable
Question #14
A  factorial means.
B  estimate means.
C  interaction means.
D  marginal means.
Question #15
A  researchers; participants
B  within-groups; between groups
C  participants; measurements
D  independent variables; dependent variables
Question #16
A  establishing covariance
B  having a control group
C  running a manipulation check
D  manipulating the cause before measuring the effect
Question #19
A  Only parents can teach children their ABCs.
B  The show did not improve ABC skills because parents had to be there.
C  Learning ABCs depends on watching a TV show.
D  The show improved ABC skills only for kids whose parents watched along with them.
Question #20
A  It leads to larger effect sizes.
B  It decreases the power of the study.
C  It causes more overlap in scores between experimental/comparison groups.
D  It limits the type of statistical analyses that can be conducted.
Question #21
A  the number of participants in the study
B  the number of main effects that need to be examined
C  the number of participant variables
D  the statistical significance of the interaction
Question #23
A  significant.
B  at ceiling.
C  at floor.
D  null.
Question #24
A  demand characteristics
B  carryover effects
C  random selection
D  selection effects
Question #25
A  He can make a strong causal claim about the effect of zoo visits on environmental attitudes.
B  He does not have a dependent variable.
C  His control group is people who did not visit the zoo.
D  His study does not qualify as an experiment.
Question #32
A  a good way to interrogate the construct validity of the dependent variable.
B  not necessary in experiments.
C  the first step in establishing causation.
D  only done if an experiment uses observational measures.
Question #33
A  large variance within groups.
B  all participants performing poorly.
C  large variance between groups.
D  small variance between groups.
Question #34
A  dependent variables only.
B  both independent and dependent variables.
C  independent variables only.
D  certain groups more than others.
Question #35
A  within-groups
B  matched-groups
C  between-subjects
D  mixed
Question #36
A  including an asterisk in a table.
B  using the word significant.
C  the inclusion of a graph.
D  using the notation p < 0.05.
Question #38
A  systematically.
B  especially.
C  spontaneously.
D  haphazardly.
Question #39
A  situation noise
B  between-group variance
C  demand characteristics
D  weak manipulations
Question #40
A  their mean score and their standard deviation
B  measurement error and their true score
C  systematic variance and error variance
D  manipulation effect and observer bias
Question #41
A  concurrent-measures design.
B  repeated-measures design.
C  staggered-administration design.
D  between-group design.