Remembering that all research has some error, respond to at least one colleague’s post and comment on how we as social change agents and critical consumers of research can balance the usefulness with the error in the research. Do we throw the research out because of too much error, or is there something useful that it can tell us?
Describe how you think the research in the article is useful (e.g., what population is it helping? What problem is it solving?).
The analysis that uncovers qualities and shortcomings and a proposed introduction toward open centered methods are cleared up. Keeping in mind the end goal to put this directing approach into impact, changes are vital, and their administration is talked about in detail. Subjective and quantitative estimation of the MOJ's availability for change allows the detailing of a particular proposition that is firmly upheld by hypothetical and pragmatic research in the administration of progress (Sirirat, Somboon, & Rachada, 2010, p. 17). The population that the research is helping is public administrative agencies that provide services to the people locally.
Using Y=
f
(X) +E notation, identify the independent and dependent variables.
Using the Y=
f
(X) +E notation, I identified the independent variable is the level of position a person is in that determines the length of work far as years with the company is concerned. We also could narrow the research down as to the gender to determine who kept which position longer, male or female?
How might the research models presented be wrong? What types of error might be present in the reported research?
Many things can be taken into consideration when it comes to research and presenting the information into data. The analysis could be too broad or missing information for the participating participants. The age bracket for the data as well could have some inconsistencies as well if a person dies will data is being collected for research or if more people have been hired or fired that could cause discrepancies in data as well.
References
Sirirat, C., Somboon, S., & Rachada, D. (2010).
Mandates for Change Management in the Ministry of Justice under the State Administration Act (no. 5)
of 2002.
International Employment Relations Review
,
16
(2), 17-36.
...
Remembering that all research has some error, respond to at least on.docx
1. Remembering that all research has some error, respond to at
least one colleague’s post and comment on how we as social
change agents and critical consumers of research can balance
the usefulness with the error in the research. Do we throw the
research out because of too much error, or is there something
useful that it can tell us?
Describe how you think the research in the article is useful
(e.g., what population is it helping? What problem is it
solving?).
The analysis that uncovers qualities and shortcomings and a
proposed introduction toward open centered methods are cleared
up. Keeping in mind the end goal to put this directing approach
into impact, changes are vital, and their administration is talked
about in detail. Subjective and quantitative estimation of the
MOJ's availability for change allows the detailing of a
particular proposition that is firmly upheld by hypothetical and
pragmatic research in the administration of progress (Sirirat,
Somboon, & Rachada, 2010, p. 17). The population that the
research is helping is public administrative agencies that
provide services to the people locally.
Using Y=
f
(X) +E notation, identify the independent and dependent
variables.
Using the Y=
f
(X) +E notation, I identified the independent variable is the
level of position a person is in that determines the length of
2. work far as years with the company is concerned. We also could
narrow the research down as to the gender to determine who
kept which position longer, male or female?
How might the research models presented be wrong? What types
of error might be present in the reported research?
Many things can be taken into consideration when it comes to
research and presenting the information into data. The analysis
could be too broad or missing information for the participating
participants. The age bracket for the data as well could have
some inconsistencies as well if a person dies will data is being
collected for research or if more people have been hired or fired
that could cause discrepancies in data as well.
References
Sirirat, C., Somboon, S., & Rachada, D. (2010).
Mandates for Change Management in the Ministry of Justice
under the State Administration Act (no. 5)
of 2002.
International Employment Relations Review
,
16
(2), 17-36.
