Research on Employee Performance using staff attendance manager system
Introduction
The chapter is
very important because it proposes and introduces quantitative research designs
that will help craft the efficiency of attendance manager system approval
mechanism, based on costs and capital structures. The section proposes how the
study will be mining data from online databases, concerned with the attendance
manager system approval process. The goal is to compare the timesheet, research
questions, and attendance system ranking with an equivalent counter assessment of employees of valid assumptions. The findings are not biased because they are based on the
genuine assumptions, as well properly calculated indices of the database. The sections will also be flexible enough to ensure that it is easy
to come up with valid research results.
3.2 Research Methodology
As indicated, a
quantitative research design will be employed given that it allows the research
to respond to the research questions in a much coherent way. The research tends
to rely predominantly on attendance management system database because it has properly updated
information. However, mined data will be computed, and processed using SPSS.
The results will enable this research to schedule results in a much clearer and
finite method which utilizes a range of sources that are appropriate for the
research survey. As such, it will be possible to detail more findings while
increasing the flexibility of the research questions in a much clearer way.
3:2:1 Quantitative Approach
Quantitative is
the use of numerical data, either generated in this research or elsewhere but
computed, processed, analyzed, interpreted and verified in this research. The
purpose of choosing the quantitative approach is because it will be possible to
analyze various indicators of the efficiency of the attendance manager system and management process.
Besides, given
that the research will be processing data in numbers, it is possible to apply
descriptive statistics of mean, standard deviation, percentiles, skewness and
median to determine the correlation of data. As such, this will enable the
research to analyze the economic models in a much superior, finites and
resourceful way. As well, this will enable the research to verify and evaluate
the findings making the research stable in the kind of the logistics and
decisions it will be drawing.
As well, in the
course of the product development, it will be possible to explore data
deficiency, which will be important in evaluating the validity of the employee performance research
questions. Also, there is a strong consideration of the p-value, which presents
the statistical power. The ability to determine the sample sizes as well
enables achieving of the statistical significance which relates to the sample
size while enabling a stable and meaningful research.
Research
Questions on
Attendance manager systems
Research
Questions
·
Are
costs factors important for the attendance management system approval process?
·
Is
capital a prerogative of the attendance system approval process?
·
How does costs and capital influence the attendance
manager system flow chart?
3.4 Research Audience
The research has a broad audience; I am primarily dedicating
this research to college students, friends, and relatives, and most importantly
to the wide economic group who are interested in examining the relationship of
capitalism and debt. Also, for the purpose of this research, we dedicate it to
policymakers, and the committee of experts who are entitled to approve the
process.
3.5 Sample and Method for
Quantitative Analysis
Quantitative research allows me to
the generalize larger population of research results, hence have a better way
to evaluate whether the null timesheet is true or false, as compared to the
alternative timesheet applications, which is true or false. However, the research will conduct a sample
size, which will enable the perfect distribution of the survey to determine the
factors that amount the random interception and sampling.
3.5.1
Calculating Sample Size of employees using attendance systems
In calculating the sample size, it will be important to conduct
integrate the G*Power Analysis. The sample size of the sample calculation will
be computed based on the basic sample sizes, using a G*Power. Essentially, the
tools allows for the degrees of freedom which is applicable and can easily
computed.
3.6
Data Collection
As stated before, the study will mine data from a
government based website which provides relevant primary data on focusing on
the possible attendance
manager system approval mechanism based on the efficiency of the flowchart
while considering the capital approval mechanism. The data collection procedure
is an important section of this research because it provides stable and
relative findings that help in evaluating the possible research questions.
The study employs quantitative methodology of data collection on
large and on the smaller side the qualitative side to help bridge and meet the timesheetsection. The data collection will involve realistic timelines, which depend on
the quality of evaluating and generalizing data. To meet the objectives, a
realistic timeline was established such that it would facilitate in developing
flexibility.
Timesheet
The timesheet directing the research is as follows.
H01): Null Timesheet: Both capital and costs do influence the will of the committee to approve or reject a proposed attendance manager system.
(HA1): Alternative timesheet: Both capital and costs do not influence the will of the committee to approve or reject a proposed attendance manager system.
The data collection had logical steps that were to be taken before,
during and after the collection. It will be necessary to develop the materials
of the research which involves obtaining informed concise decisions, that
surrounds the research. Given the data collection procedure might be complex;
versatile and even complicated a flow chart presenting the stages of the
research will be applied. This will be to help in defragmenting the research
into clear and finite stages. The timeline will be proposed later in these
sections.
The research methodology can be criticized on the basis that we are
using data collected from other people. The collection will not rely from one
website, but many websites in general, hence maintaining consistency is naturally
a difficult problem which requires proper evaluation of the research questions.
3.7.2
Inconsistency
As well, consistency of data
collection could have hampered the quality of data itself, primarily because we
were collecting data of two countries in particular, hence relating them to the
research questions. The challenge in this case is that the sources might not be
very consistency, yet we have five research questions to evaluate, compute and
analyze. Also, there is a problem of computing, and processing data which in
this case, depends on the quality of data sources. As stated, data is coming
from various online sources. These ranges are hampers and cripple the strategy
of the research.
3.7.2 Evaluation
There is a problem of employee evaluation, which hampers the quality
measuring and monitoring progress while advancing the different websites that
we are going to be generating data from. The evaluation methods depends on
experts assessments that are possible and accessible for the research
methodology.
3.7.3
Heterogeneity
The structured data generated from the web suffers from poor
heterogeneity. Crossing differences for the scheme and data level allows for
the perfect exploit for the different web sources. Hence, resolving the
differences in data sources through manual integration lacks perfect data
integration that is costly for the particular data assessment.
3.7.4 Redundancy
Much of the data to be mined might be redundant as well it might be
overlapping each other, putting the study in jeopardy because of the lack of
coherence. In this case, the data could be lacking the perfect description of
the different schemes which depends primarily on the integration methods. As
well, the ranking methods depend on search. Any of the three sources might have
different search keywords.
3.7.5 Curing
The four challenges might not have any immediate solutions; hence
the research will have to do a lot of work evaluating, scrutinizing, verifying,
and even drawing assumptions using a pen and paper.
3.8 Reliability of Research
The reliability
of the research depends naturally on the finite approach of treating data.
Given that we might face a problem of treating, and healing data, hence the
reliability of data will depends naturally on the quality of attendance management system and how data is
going to be evaluated treated, assessed and examined. The credibility of the
study however remains on how data is going to be presented. To ensure that
consistency is achieved, each of the sources will have to govern by evaluating
the quality of the sources hence making a perfect observation decision on the
credibility based on how data is being handled. .
3.8 Ethical
Consideration
All external information to be considered in the research questions
will have to be (Timesheet reports)d properly. In case, there are no extension,
any internal information will be perfectly computed, using our choice software
SPSS. SPSS is being used because it has descriptive statistics which makes it
possible to evaluate, hence all data will be computed and relevant, discussion,
analysis and findings attached to them
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