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Dear students get fully solved assignments
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What is Business Research? Talking about Its Objectives, Characteristics, Criteria of Good Research, Types, When to conduct and an overview of research methodology....
Research is highly dependent upon the skills and knowledge of researcher. Read this document shared to know about assessment of different types of research methodologies.
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
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What is Business Research? Talking about Its Objectives, Characteristics, Criteria of Good Research, Types, When to conduct and an overview of research methodology....
Research is highly dependent upon the skills and knowledge of researcher. Read this document shared to know about assessment of different types of research methodologies.
NCV 3 Business Practice Hands-On Support Slide Show - Module 6Future Managers
This slide show complements the learner guide NCV 3 Business Practice Hands-On Training by Nickey Cilliers, published by Future Managers Pty Ltd. For more information visit our website www.futuremanagers.net
Pubrica has extensive experience in conducting meta-analysis a quantitative, formal, epidemiological study design used to systematically assess the results of previous research to derive conclusions about that body of research.
Tools Of Data Collection, Questionnaire, Data Analysis, Types Of Data Analysis, Interviews, Data Presentations, Types of data Presentations, Audio Video Recordings, dichotomous check list type questions, rating scale questions, rank order questions, structured interviews, unstructured interviews, semi structured interviews, advantages and disadvantages of interviews, Types of data in research, data validation, data coding , data entering. Textual data Presentations, tabular data Presentations, graphical data Presentations, bar graph, pie or circle graph, line graph
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
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Assignments of One Year Executive MBA
Semester - IIl
1. Students are requested to go through the instructions carefully.
2. The Assignment is a part of the internal assessment.
3. Marks will be awarded for each Assignment, which will be added to the total marks.
Assignments carry equal marks.
4. Assignments should submit in your 'portal' on/before the 'completion date' mentioned.
5. Case study project is based on the elective subject selected.
Please submit your case study also in the portal on the 'completion date' of
second semester assignments.
Assignments
Total Marks :100
Quantitative techniques for Business Analysis
2. Question:Give an account of rules tobe followedfor collectionof data? Give
examples.
Answer : Data collection is a systematic process of gathering observations or measurements.
Whether you are performing research for business, governmental or academic purposes, data
collection allowsyoutogainfirst-handknowledge andoriginal insights into your research problem.
While methodsand aims may differ between fields, the overall process of data collection remains
largely the same. Before you begin collecting data, you need to consider:
The aim of the research
The type of data that you will collect
The methods and procedures you will use to collect, store, and process the data
To collect high-quality data that is relevant to your purposes, follow these four steps.
Step 1: Define the aim of your research
Before you start the process of data collection, you need to identify exactly what you want to
achieve. You can start by writing a problem statement: what is the practical or scientific issue that
you want to address and why does it matter?
Next, formulate one or more research questions that precisely define what you want to find out.
Depending on your research questions, you might need to collect quantitative or qualitative data:
Quantitative data is expressed in numbers and graphs and is analyzed through statistical
methods.
Qualitative data is expressed in words and analyzed through interpretations and
categorizations.
If your aim is to test a hypothesis, measure something precisely, or gain large-scale statistical
insights, collect quantitative data. If your aim is to explore ideas, understand experiences, or gain
detailedinsightsintoaspecificcontext,collectqualitative data.If youhave several aims,youcanuse
a mixed methods approach that collects both types of data.
Examplesof quantitativeandqualitative researchaimsYouare researchingemployeeperceptions of
their direct managers in a large organization.
Your first aim is to assess whether there are significant differences in perceptions of
managers across different departments and office locations.
3. Your secondaimis to gathermeaningfulfeedbackfromemployeestoexplore new ideas for
how managers can improve.
You decide to use a mixed-methods approach to collect both quantitative and qualitative data.
Step 2: Choose your data collection method
Based on the data you want to collect, decide which method is best suited for your research.
Experimental research is primarily a quantitative method.
Interviews/focus groups and ethnography are qualitative methods.
Surveys, observations, archival research and secondary data collection can be quantitative
or qualitative methods.
Carefully consider what method you will use to gather data that helps you directly answer your
research questions.
Step 3: Plan your data collection procedures
4. Whenyouknowwhich method(s) you are using, you need to plan exactly how you will implement
them. What procedures will you follow to make accurate observations or measurements of
the variables you are interested in?
For instance,if you’re conductingsurveysorinterviews,decidewhatformthe questions will take; if
you’re conducting an experiment, make decisions about your experimental design.
Operationalization
Sometimes your variables can be measured directly: for example, you can collect data on the
average age of employeessimplybyaskingfordatesof birth.However,oftenyou’ll be interested in
collecting data on more abstract concepts or variables that can’t be directly observed.
Operationalization means turning abstract conceptual ideas into measurable observations. When
planninghowyouwill collect data,youneedtotranslate the conceptual definitionof what you want
to study into the operational definition of what you will actually measure.
Example of operationalizationYou have decided to use surveys to collect quantitative data. The
concept you want to measure is the leadership of managers. You operationalize this concept in
two ways:
You ask managers to rate theirown leadership skills on 5-point scales assessing the ability
to delegate, decisiveness and dependability.
You ask their direct employees to provide anonymous feedback on the managers
regarding the same topics.
Using multiple ratings of a single concept can help you cross-check your data and assess the test
validity of your measures.
Sampling
You may need to develop a sampling plan to obtain data systematically. This involves defining
a population, the group you want to draw conclusions about, and a sample, the group you will
actually collect data from.
Your samplingmethodwilldetermine how yourecruitparticipantsorobtainmeasurements for your
study. To decide on a sampling method you will need to consider factors like the required sample
size, accessibility of the sample, and timeframe of the data collection.
Standardizing procedures
If multiple researchers are involved, write a detailed manual to standardize data collection
procedures in your study.
This means laying out specific step-by-step instructions so that everyone in your research team
collects data in a consistent way – for example, by conducting experiments under the same
conditions and using objective criteria to record and categorize observations.
This helps ensure the reliability of your data, and you can also use it to replicate the study in the
future.
5. Creating a data management plan
Before beginningdatacollection,youshouldalsodecide how you will organize and store your data.
If you are collectingdata from people,you will likelyneedtoanonymize and safeguard the
data to prevent leaks of sensitive information (e.g. names or identity numbers).
If you are collecting data via interviews or pencil-and-paper formats, you will need to
perform transcriptions or data entry in systematic ways to minimize distortion.
You can prevent loss of data by having an organization system that is routinely backed up.
Step 4: Collect the data
Finally, you can implement your chosen methods to measure or observe the variables you are
interested in.
Examples of collecting qualitative and quantitative dataTo collect data about perceptions of
managers, you administer a survey with closed- and open-ended questions to a sample of 300
company employees across different departments and locations.
The closed-endedquestionsaskparticipantstorate theirmanager’s leadership skills on scales from
1–5. The data produced is numerical and can be statistically analyzed for averages and patterns.
The open-endedquestionsaskparticipantsforexamplesof whatthe managerisdoing well now and
what they can do better in the future. The data produced is qualitative and can be categorized
through content analysis for further insights.
To ensure that high quality data is recorded in a systematic way, here are some best practices:
Record all relevant information as and when you obtain data. For example, note down
whether or how lab equipment is recalibrated during an experimental study.
Double-check manual data entry for errors.
If you collect quantitative data, you can assess the reliability and validity to get an
indication of your data quality.