Mitigating litigation risk at the deal table webinar part 1Polsinelli PC
First in an 8 part series discussing mitigation litigation risk. This presentation focuses on: Due Diligence
Reps and Warranties
Damages Limitation or Waiver
Procedural Safeguards
Regulatory Compliance ("Alphabet Soup")
The Specific Relief of Act 1877
The Law of Limitation Act, 1908
ARNAB KUMAR DAS
Port City International University,
Chittagong, Bangladesh.
SID: LLB 00305037
The document discusses various financial instruments and valuation methodologies. It provides background on Nobel prize winners such as Scholes, Merton, and Black who developed the Black-Scholes options pricing model. It then discusses various derivatives like options, forwards, futures, and swaps. It explains how these instruments can be used for hedging, speculation, and gaining exposure to markets. It also discusses how concepts like volatility and yield curves are important for pricing derivatives.
The document discusses various research instruments used in business research methods such as observation, interviews, telephone surveys, mail surveys, and interview schedules. It provides advantages and limitations for each research instrument, noting things like accuracy, costs, response rates, and data quality. Key research instruments are compared in terms of their economic feasibility, speed, coverage, and ability to gather reliable and detailed information.
Research tools and environments enable greater research outcomes, larger collaborative research projects, and easier sharing of data across disciplines. Professors and researchers from various fields commented on how virtual research labs and eResearch tools have allowed them to more widely share resources and data with colleagues around the world, strengthening collaboration and making research more productive.
This document outlines the assumptions, scope, and limitations of a research study. It defines assumptions as important facts presumed true but not verified, such as respondents answering interview questions accurately. The scope establishes the boundaries of the study by defining when and where it was conducted and who the subjects were. Limitations are aspects of the investigation beyond the researcher's control that could adversely affect results, such as the attitudes of respondents changing over time.
The document outlines nine basic research methods and their typical steps:
1. Historical Research aims to reconstruct the past objectively. Key steps include defining the problem, collecting primary and secondary data, and evaluating findings.
2. Descriptive Research systematically describes facts and characteristics of a population. Key steps include defining objectives, designing data collection, collecting data, and reporting results.
3. Developmental Research investigates patterns of growth over time. Key steps include defining the problem, reviewing literature, designing the approach, collecting data, and evaluating results.
Research methodology for behavioral researchrip1971
The document provides an overview of research methodology for behavioral research. It aims to introduce research methodology and multivariate data analysis to new Ph.D. students. Topics covered include conceptualization, measurement, research design, multivariate analysis, and structural equation modeling. The goal is to provide hands-on experience with techniques like LISREL for analyzing behavioral research questions.
Secondary data refers to data that has already been collected by someone else, while primary data is data that is collected by the researcher themselves. Some advantages of using secondary data include not having to reinvent the wheel, saving time and money, and the data may be very accurate if collected by a government agency. However, secondary data can be limited by being outdated, incomplete, or inconsistent over time. Primary data collection allows customizing data to specific research questions but is more time consuming and expensive. Researchers must determine if their question can be answered by existing secondary data or requires new primary data collection.
8. validity and reliability of research instrumentsRazif Shahril
This document discusses validity and reliability in research instruments. It begins by defining validity as measuring what the instrument is designed to measure, and reliability as consistency and stability of measurements. The document then describes different types of validity, including face validity, content validity, concurrent validity, predictive validity, and construct validity. It also discusses factors that can affect an instrument's reliability, such as question wording and environment. Finally, it outlines several methods for determining reliability, like test-retest, parallel forms, and split-half techniques. The document concludes by noting alternative criteria used to evaluate qualitative research validity and reliability.
This document discusses techniques for designing and validating questionnaires. It covers factors that affect questionnaires, types of questions, guidelines for preparation, administration methods, validity, reliability, and translation methods. Specifically, it discusses open-ended versus closed-form questions, test-retest and split-half methods for assessing reliability, and a multi-stage translation process involving translation, review, adjudication, and pretesting.
This document summarizes the key components of a research methodology section, including:
1) Explaining how data was collected and analyzed to obtain results.
2) Justifying the methods used by explaining why they were appropriate for the research objectives and data being collected.
3) Discussing any problems encountered and how they were addressed.
The document provides an overview of research methodology for undergraduate students in social sciences. It discusses key aspects of the research process like identifying a research topic and question, developing objectives and hypotheses, research design, sampling, variables, data collection and analysis tools, and reporting. It also outlines the project requirements for undergraduate students at Goa University, including guidelines for the structure and format of the project report.
This document discusses research instruments used for data collection. It describes three common instruments: questionnaires, interviews, and observation. Questionnaires involve structured questions to elicit responses, while interviews can be structured, unstructured, or focused. Observation can involve participating or non-participating. The document provides examples of each type of instrument and discusses characteristics of good instruments, such as being valid and reliable. It also outlines steps to prepare questionnaires and types of questions used.
Data collection - Statistical data are a numerical statement of aggregates. Data, generally, are obtained through properly organized statistical inquiries conducted by the investigators. Data can either be from primary or secondary sources.
Data are numerical facts collected systematically for research purposes. Economists study phenomena and draw conclusions from collected data. There are two main sources of information: primary and secondary data. Primary data involves collecting original data directly from sources for a specific research purpose, such as through observation, interviews, questionnaires, or schedules. Secondary data refers to data that was originally collected by someone else for another purpose and has been published, such as government publications, journals, or reports.
The document discusses the characteristics, functions, types, and construction of questionnaires. It provides details on:
- Questionnaires should be short, simple, objective and avoid embarrassing questions.
- Functions include description and measurement of variables like attitudes and opinions.
- Types include fixed-response and open-ended questionnaires, and mail-administered vs face-to-face.
- Constructing a questionnaire involves deciding what to measure, the type, writing drafts, pretesting, and specifying procedures.
There are various methods for collecting primary and secondary data. Primary data collection methods include observation, interviews, questionnaires, and schedules. Secondary data refers to previously collected data that is analyzed and available for use in other studies. Factors to consider when selecting a data collection method include the nature, scope, and objective of the research, available funds and time, and required precision.
Mitigating litigation risk at the deal table webinar part 1Polsinelli PC
First in an 8 part series discussing mitigation litigation risk. This presentation focuses on: Due Diligence
Reps and Warranties
Damages Limitation or Waiver
Procedural Safeguards
Regulatory Compliance ("Alphabet Soup")
The Specific Relief of Act 1877
The Law of Limitation Act, 1908
ARNAB KUMAR DAS
Port City International University,
Chittagong, Bangladesh.
SID: LLB 00305037
The document discusses various financial instruments and valuation methodologies. It provides background on Nobel prize winners such as Scholes, Merton, and Black who developed the Black-Scholes options pricing model. It then discusses various derivatives like options, forwards, futures, and swaps. It explains how these instruments can be used for hedging, speculation, and gaining exposure to markets. It also discusses how concepts like volatility and yield curves are important for pricing derivatives.
The document discusses various research instruments used in business research methods such as observation, interviews, telephone surveys, mail surveys, and interview schedules. It provides advantages and limitations for each research instrument, noting things like accuracy, costs, response rates, and data quality. Key research instruments are compared in terms of their economic feasibility, speed, coverage, and ability to gather reliable and detailed information.
Research tools and environments enable greater research outcomes, larger collaborative research projects, and easier sharing of data across disciplines. Professors and researchers from various fields commented on how virtual research labs and eResearch tools have allowed them to more widely share resources and data with colleagues around the world, strengthening collaboration and making research more productive.
This document outlines the assumptions, scope, and limitations of a research study. It defines assumptions as important facts presumed true but not verified, such as respondents answering interview questions accurately. The scope establishes the boundaries of the study by defining when and where it was conducted and who the subjects were. Limitations are aspects of the investigation beyond the researcher's control that could adversely affect results, such as the attitudes of respondents changing over time.
The document outlines nine basic research methods and their typical steps:
1. Historical Research aims to reconstruct the past objectively. Key steps include defining the problem, collecting primary and secondary data, and evaluating findings.
2. Descriptive Research systematically describes facts and characteristics of a population. Key steps include defining objectives, designing data collection, collecting data, and reporting results.
3. Developmental Research investigates patterns of growth over time. Key steps include defining the problem, reviewing literature, designing the approach, collecting data, and evaluating results.
Research methodology for behavioral researchrip1971
The document provides an overview of research methodology for behavioral research. It aims to introduce research methodology and multivariate data analysis to new Ph.D. students. Topics covered include conceptualization, measurement, research design, multivariate analysis, and structural equation modeling. The goal is to provide hands-on experience with techniques like LISREL for analyzing behavioral research questions.
Secondary data refers to data that has already been collected by someone else, while primary data is data that is collected by the researcher themselves. Some advantages of using secondary data include not having to reinvent the wheel, saving time and money, and the data may be very accurate if collected by a government agency. However, secondary data can be limited by being outdated, incomplete, or inconsistent over time. Primary data collection allows customizing data to specific research questions but is more time consuming and expensive. Researchers must determine if their question can be answered by existing secondary data or requires new primary data collection.
8. validity and reliability of research instrumentsRazif Shahril
This document discusses validity and reliability in research instruments. It begins by defining validity as measuring what the instrument is designed to measure, and reliability as consistency and stability of measurements. The document then describes different types of validity, including face validity, content validity, concurrent validity, predictive validity, and construct validity. It also discusses factors that can affect an instrument's reliability, such as question wording and environment. Finally, it outlines several methods for determining reliability, like test-retest, parallel forms, and split-half techniques. The document concludes by noting alternative criteria used to evaluate qualitative research validity and reliability.
This document discusses techniques for designing and validating questionnaires. It covers factors that affect questionnaires, types of questions, guidelines for preparation, administration methods, validity, reliability, and translation methods. Specifically, it discusses open-ended versus closed-form questions, test-retest and split-half methods for assessing reliability, and a multi-stage translation process involving translation, review, adjudication, and pretesting.
This document summarizes the key components of a research methodology section, including:
1) Explaining how data was collected and analyzed to obtain results.
2) Justifying the methods used by explaining why they were appropriate for the research objectives and data being collected.
3) Discussing any problems encountered and how they were addressed.
The document provides an overview of research methodology for undergraduate students in social sciences. It discusses key aspects of the research process like identifying a research topic and question, developing objectives and hypotheses, research design, sampling, variables, data collection and analysis tools, and reporting. It also outlines the project requirements for undergraduate students at Goa University, including guidelines for the structure and format of the project report.
This document discusses research instruments used for data collection. It describes three common instruments: questionnaires, interviews, and observation. Questionnaires involve structured questions to elicit responses, while interviews can be structured, unstructured, or focused. Observation can involve participating or non-participating. The document provides examples of each type of instrument and discusses characteristics of good instruments, such as being valid and reliable. It also outlines steps to prepare questionnaires and types of questions used.
Data collection - Statistical data are a numerical statement of aggregates. Data, generally, are obtained through properly organized statistical inquiries conducted by the investigators. Data can either be from primary or secondary sources.
Data are numerical facts collected systematically for research purposes. Economists study phenomena and draw conclusions from collected data. There are two main sources of information: primary and secondary data. Primary data involves collecting original data directly from sources for a specific research purpose, such as through observation, interviews, questionnaires, or schedules. Secondary data refers to data that was originally collected by someone else for another purpose and has been published, such as government publications, journals, or reports.
The document discusses the characteristics, functions, types, and construction of questionnaires. It provides details on:
- Questionnaires should be short, simple, objective and avoid embarrassing questions.
- Functions include description and measurement of variables like attitudes and opinions.
- Types include fixed-response and open-ended questionnaires, and mail-administered vs face-to-face.
- Constructing a questionnaire involves deciding what to measure, the type, writing drafts, pretesting, and specifying procedures.
There are various methods for collecting primary and secondary data. Primary data collection methods include observation, interviews, questionnaires, and schedules. Secondary data refers to previously collected data that is analyzed and available for use in other studies. Factors to consider when selecting a data collection method include the nature, scope, and objective of the research, available funds and time, and required precision.
1. D.I.Y CIDOS 2.5
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