This document provides an overview of research methods. It discusses the different types of research including historical, descriptive, experimental, quantitative and qualitative research. Quantitative research uses statistical analysis and standardized data collection from large samples, while qualitative research collects subjective data through methods like interviews and observation. The document also outlines the typical steps in the research process from identifying a problem to formulating research questions, conducting a literature review, collecting and analyzing data, interpreting findings, discussing results and drawing conclusions.
Insocio lecture 2 sociological research process lectureCarlos Molina
?
The document summarizes the key steps in the sociological research process:
1. Choosing and defining a research problem. Researchers often study topics related to their personal interests or experiences. The problem must be clearly defined.
2. Reviewing previous literature to learn from others' findings and refine the research problem. This helps avoid past pitfalls and suggests study designs.
3. Designing the study by developing a plan to answer the research question through sound measurement and consideration of time. Researchers must also select a data collection method like surveys, experiments, or field observation.
4. Collecting data using methods like questionnaires, interviews, field observations, experiments, or content analysis. Researchers take a sample from
data collection is just systematic way approach for gather and measure information form variety source for the aim of get complete and accurate of an area that interested
Share MED3-DATA COLLECTION AND PRESENTATION(METHODS OF DATA) PPT.pptxShenaCanoCover
?
This document discusses various methods for collecting data in research. It describes two main types of data - quantitative and qualitative. Quantitative data deals with numerical values while qualitative data involves non-numerical values like opinions. Some common data collection methods are surveys, interviews, focus groups, observations, experiments, case studies, and document analysis. Each method has advantages and limitations depending on the research question, and often multiple methods are used together to provide a comprehensive understanding. Overall, systematic data collection ensures valid and reliable data to accurately inform conclusions.
Share MED3-DATA COLLECTION AND PRESENTATION(METHODS OF DATA) PPT.pptxShenaCanoCover
?
This document discusses various methods for collecting data in research. It describes two main types of data - quantitative and qualitative. Quantitative data deals with numerical values while qualitative data involves non-numerical values like opinions. Some common data collection methods are surveys, interviews, focus groups, observations, experiments, case studies, and document analysis. Each method has strengths and weaknesses for collecting different types of information. Using multiple methods can provide a more comprehensive understanding of the topic being researched.
This document discusses various concepts related to qualitative research methods including empirical research, reliability, qualitative research, integrity, applied research, literature review, sampling, confidentiality, human protection, and critical analysis. It also examines kinds of qualitative research such as phenomenology, ethnography, case study, content and discourse analysis, and historical analysis. Finally, the document outlines characteristics, uses, strengths, and weaknesses of qualitative research.
This document discusses various methods and tools for data collection. It defines data collection methods as systematic ways of collecting information about subjects of study, and data collection tools as instruments used to gather information. The main methods covered are using available records, interviews, observations, questionnaires, scales and physiological measurements. Specific tools are also defined for each method. Sources of bias and ethical considerations in data collection are also addressed.
The document discusses different methods of data acquisition, including primary and secondary data sources. It describes primary data as original data collected for the specific research purpose, while secondary data is collected previously by others. Some key primary data collection methods covered include questionnaires, schedules, and interviews. Questionnaires involve sending respondents a list of questions, schedules are used by interviewers to ask standardized questions in person, and interviews are conducted via face-to-face conversations. Advantages and disadvantages of primary versus secondary data are also summarized.
BUSINESS RESEARCH METHODS FULLNOTES.docxrevathir210
?
Data – Meaning
Classification of Data – Primary & Secondary
Primary Data – Introduction
Types of Primary Data
Questionnaire – Meaning & Importance
Types of Questionnaire
Features of Questionnaire
Pilot Study
Schedule – Meaning & Importance
Questionnaire vs. Schedule
Interview – Meaning & Importance
Types of Interview
Observation – Meaning & Importance
Types of Observation
Secondary Data – Introduction
Sources of Secondary Data
Sampling – Meaning
Merits and Demerits of Sampling
Laws and Essentials of Sampling
Determining Sample Size
Types – Random Sampling
Types – Non-Random Sampling
Errors – Meaning
Sampling and Non-Sampling Errors
This document discusses various methods for collecting data, including definitions, types, categories, and sources of data. It describes primary and secondary data and how each are collected. Common data collection methods like questionnaires, interviews, observation, and document analysis are explained along with their advantages and disadvantages. The key points are that there are various ways to collect both quantitative and qualitative data, and the optimal method depends on factors like the research question and available resources. Primary sources involve collecting original data while secondary sources use previously collected data.
The document provides summaries of different types of research designs, including their definitions, purposes, advantages, and limitations. It discusses exploratory, descriptive, experimental, causal, cohort, case study, action research, cross-sectional, and market research designs. For each design, it outlines what information can be learned from studies using that design and what limitations exist in determining causation or generalizing findings. The overall purpose is to help readers understand when and how to appropriately apply different research methodologies.
The document provides an overview of research methodology. It discusses key aspects of the research process including developing research questions and hypotheses, research design, data collection methods, and data analysis. Some common data collection methods described are surveys, experiments, case studies, observations, interviews, and focus groups. The document also covers qualitative and quantitative research approaches, as well as descriptive, explanatory, and exploratory research.
This document provides an overview of qualitative research. It begins by defining qualitative research as a type of research that explores real-world problems through collecting, analyzing, and interpreting data by observing what people do and say. It then discusses various qualitative research methods like ethnography, grounded theory, case studies, phenomenology, narrative analysis, and historical studies. Key characteristics of qualitative research are also outlined such as using a natural setting, the researcher as the key instrument, inductive data analysis, and focusing on meanings from participants. The document concludes by discussing the importance of qualitative research across different fields in understanding complex phenomena and informing policy.
Qualitative research focuses on data that cannot be expressed numerically and aims to develop new concepts through description and interpretation. There are several types of qualitative research including ethnography, grounded theory, and interpretative phenomenological analysis. Data collection methods involve interviews, focus groups, observation, and reviewing documents. Qualitative analysis involves interpreting responses to uncover implied meanings and identify important themes through constant comparison of data. Constant comparison involves open coding, progressive focusing, and summarizing interpretations. Keeping organized records is also important for qualitative analysis.
This document discusses various methods for collecting data and designing research instruments. It begins by outlining the objectives of helping students recognize the importance of data gathering and identifying various collection techniques. The document then discusses primary and secondary data sources, as well as instruments like interviews, questionnaires, observation, attitude scales, and tests. It provides advantages and limitations of each technique. The document also covers reliability, validity, and considerations for designing valid and reliable instruments.
The descriptive method is used to gather information about existing conditions and explore phenomena. It involves collecting data through methods like interviews, surveys, observation, and analysis of documents and records to describe situations and answer questions about current status. While it provides expansive data useful for understanding problems, limitations include lack of depth in large surveys and inability to determine causation. Researchers must take care to avoid misusing the method and ensure results are reliable and trustworthy.
Research in Child and Adolescent DevelopmentHannaleahaboc
?
This document discusses research in child and adolescent development. It outlines several key points:
1. Research is important for teachers and policymakers to make informed decisions that benefit students. It allows teachers to understand child development and tailor teaching appropriately.
2. Research is not just for academics but also for students and teachers. The scientific method, including identifying problems and formulating hypotheses, is important for high-quality research.
3. Various research designs are discussed, including case studies, correlational studies, experiments, naturalistic observation, longitudinal studies, and more. Each has strengths and weaknesses for understanding development.
4. Ethical standards must be followed when researching children to protect participants and maintain integrity. In
This document describes descriptive research and survey research methods. Descriptive research aims to describe characteristics of a population without determining causes. Survey research involves asking questions of respondents using methods like questionnaires and interviews. The document outlines approaches like case studies and surveys, and survey designs including cross-sectional, before-after, and longitudinal studies. It also discusses steps to conduct surveys, question formats, data collection modes, and advantages and limitations of interviews and questionnaires.
The descriptive method is used to gather information about existing conditions and explore causes of phenomena. It involves collecting data to test hypotheses or answer questions about the current status of what is being studied. Information can be obtained through personal interviews, surveys, observation, use of measurement devices, case studies, surveys, developmental studies, longitudinal studies, cross-sectional studies, and documentary analysis. While the descriptive method provides useful information, it has limitations including lack of breadth, difficulty generalizing findings, and potential for bias. Researchers must take care to properly employ the method and avoid simply information gathering rather than true research.
This document outlines the basic steps in research: 1) formulating the problem, 2) conducting exploratory studies to define the problem, 3) designing the research project including determining data needs, sources, and collection methods, 4) collecting data through various methods like observation, interviews, questionnaires, and records, 5) processing and analyzing the data both statistically and through inference, and 6) interpreting the results. The overall aim of research is to discover new facts and revise conclusions to further knowledge.
This document provides an overview of research methodology basics, including the meaning of research, objectives of research, types of research, and the research process. It discusses quantitative and qualitative research methods. Quantitative research uses numerical data and statistical analysis, while qualitative research seeks to understand human behavior through in-depth exploration. Both methods have limitations, such as issues of validity, reliability, and generalizability for qualitative research, and lack of context for quantitative. The document also lists top international research institutes for economics and important research institutes in India. It provides definitions and characteristics of research and covers the key steps in the research process.
The document discusses various data collection methods and sampling strategies for quantitative and qualitative research designs. It begins by outlining the objectives of understanding sampling strategies, data collection methods, and how to identify appropriate methods for a given study. It then covers topics such as gaining access to participants, sampling strategies like random sampling and purposive sampling. Various data collection instruments like questionnaires, interviews, observations, focus groups, think aloud protocols, diaries and journals are also discussed in detail including their strengths and limitations. The document provides an in-depth overview of key considerations for data collection in research.
This document discusses qualitative research methods. Qualitative research seeks to understand a research problem from the perspectives of the local population. It provides information about human behaviors, beliefs, opinions and relationships. When used with quantitative methods, qualitative research can help interpret complex realities and data. Some key aspects of qualitative research include unstructured response options, no statistical tests, and less generalizable but more valid and reliable results depending on the researcher's skill.
This document discusses various methods of data collection that researchers use in studies, including observation, interviews, questionnaires, and archival data. It provides details on the different types of observation (controlled, participant), interviews (structured, semi-structured, unstructured), and considerations for each method. The document also outlines questionnaires as a method and considerations like response rates. Overall, the document serves as an overview of common data collection methods, their uses, and factors to consider like reliability, validity, and biases.
This document provides an introduction and overview of research methods. It outlines the aim and objectives of the course which are to give participants an appreciation of the research process and enable them to describe research, prepare proposals, design instruments, collect and analyze data, and write reports. It defines research and describes the importance of research being systematic, logical, empirical, and replicable. It also discusses the different types of research including basic research, applied research, and evaluation research. The document outlines the overall research process and covers topics such as identifying research areas, the qualities of a good topic, research philosophies including epistemology and axiology, and the different methodologies of quantitative and qualitative research.
This document discusses types of research. It defines research and its purposes. There are several types of research classified based on criteria like purpose and methodology. The main types discussed are basic research, applied research, descriptive research, analytical research, experimental research, qualitative research, quantitative research, and correlational research. Basic research is further divided into experimental research, observational research, theoretical research, descriptive research, comparative research, and historical research.
Optimizing Common Table Expressions in Apache Hive with CalciteStamatis Zampetakis
?
In many real-world queries, certain expressions may appear multiple times, requiring repeated computations to construct the final result. These recurring computations, known as common table expressions (CTEs), can be explicitly defined in SQL queries using the WITH clause or implicitly derived through transformation rules. Identifying and leveraging CTEs is essential for reducing the cost of executing complex queries and is a critical component of modern data management systems.
Apache Hive, a SQL-based data management system, provides powerful mechanisms to detect and exploit CTEs through heuristic and cost-based optimization techniques.
This talk delves into the internals of Hive's planner, focusing on its integration with Apache Calcite for CTE optimization. We will begin with a high-level overview of Hive's planner architecture and its reliance on Calcite in various planning phases. The discussion will then shift to the CTE rewriting phase, highlighting key Calcite concepts and demonstrating how they are employed to optimize CTEs effectively.
Relationship between Happiness & LifeQuality .pdfwrachelsong
?
There a lot of studies showing the correlation between GDP by country and average life satisfcation. Usually, most countries with higher GDP tend to have higher average life satisfaction scores. Inspired by this findings, I began to wonder.. 'What other aspects of life significantly contribute to happiness?' Specifically, we wanted to explore which quality of life indicators have a significant relationship with the happiness scores of different regions.
Research Question : Which quality of life indicators have a significant relationship with the happiness score among different regions?
To address this question, we decided to investigate various factors that might influence happiness, including economic stability, health, social support, and more.
BUSINESS RESEARCH METHODS FULLNOTES.docxrevathir210
?
Data – Meaning
Classification of Data – Primary & Secondary
Primary Data – Introduction
Types of Primary Data
Questionnaire – Meaning & Importance
Types of Questionnaire
Features of Questionnaire
Pilot Study
Schedule – Meaning & Importance
Questionnaire vs. Schedule
Interview – Meaning & Importance
Types of Interview
Observation – Meaning & Importance
Types of Observation
Secondary Data – Introduction
Sources of Secondary Data
Sampling – Meaning
Merits and Demerits of Sampling
Laws and Essentials of Sampling
Determining Sample Size
Types – Random Sampling
Types – Non-Random Sampling
Errors – Meaning
Sampling and Non-Sampling Errors
This document discusses various methods for collecting data, including definitions, types, categories, and sources of data. It describes primary and secondary data and how each are collected. Common data collection methods like questionnaires, interviews, observation, and document analysis are explained along with their advantages and disadvantages. The key points are that there are various ways to collect both quantitative and qualitative data, and the optimal method depends on factors like the research question and available resources. Primary sources involve collecting original data while secondary sources use previously collected data.
The document provides summaries of different types of research designs, including their definitions, purposes, advantages, and limitations. It discusses exploratory, descriptive, experimental, causal, cohort, case study, action research, cross-sectional, and market research designs. For each design, it outlines what information can be learned from studies using that design and what limitations exist in determining causation or generalizing findings. The overall purpose is to help readers understand when and how to appropriately apply different research methodologies.
The document provides an overview of research methodology. It discusses key aspects of the research process including developing research questions and hypotheses, research design, data collection methods, and data analysis. Some common data collection methods described are surveys, experiments, case studies, observations, interviews, and focus groups. The document also covers qualitative and quantitative research approaches, as well as descriptive, explanatory, and exploratory research.
This document provides an overview of qualitative research. It begins by defining qualitative research as a type of research that explores real-world problems through collecting, analyzing, and interpreting data by observing what people do and say. It then discusses various qualitative research methods like ethnography, grounded theory, case studies, phenomenology, narrative analysis, and historical studies. Key characteristics of qualitative research are also outlined such as using a natural setting, the researcher as the key instrument, inductive data analysis, and focusing on meanings from participants. The document concludes by discussing the importance of qualitative research across different fields in understanding complex phenomena and informing policy.
Qualitative research focuses on data that cannot be expressed numerically and aims to develop new concepts through description and interpretation. There are several types of qualitative research including ethnography, grounded theory, and interpretative phenomenological analysis. Data collection methods involve interviews, focus groups, observation, and reviewing documents. Qualitative analysis involves interpreting responses to uncover implied meanings and identify important themes through constant comparison of data. Constant comparison involves open coding, progressive focusing, and summarizing interpretations. Keeping organized records is also important for qualitative analysis.
This document discusses various methods for collecting data and designing research instruments. It begins by outlining the objectives of helping students recognize the importance of data gathering and identifying various collection techniques. The document then discusses primary and secondary data sources, as well as instruments like interviews, questionnaires, observation, attitude scales, and tests. It provides advantages and limitations of each technique. The document also covers reliability, validity, and considerations for designing valid and reliable instruments.
The descriptive method is used to gather information about existing conditions and explore phenomena. It involves collecting data through methods like interviews, surveys, observation, and analysis of documents and records to describe situations and answer questions about current status. While it provides expansive data useful for understanding problems, limitations include lack of depth in large surveys and inability to determine causation. Researchers must take care to avoid misusing the method and ensure results are reliable and trustworthy.
Research in Child and Adolescent DevelopmentHannaleahaboc
?
This document discusses research in child and adolescent development. It outlines several key points:
1. Research is important for teachers and policymakers to make informed decisions that benefit students. It allows teachers to understand child development and tailor teaching appropriately.
2. Research is not just for academics but also for students and teachers. The scientific method, including identifying problems and formulating hypotheses, is important for high-quality research.
3. Various research designs are discussed, including case studies, correlational studies, experiments, naturalistic observation, longitudinal studies, and more. Each has strengths and weaknesses for understanding development.
4. Ethical standards must be followed when researching children to protect participants and maintain integrity. In
This document describes descriptive research and survey research methods. Descriptive research aims to describe characteristics of a population without determining causes. Survey research involves asking questions of respondents using methods like questionnaires and interviews. The document outlines approaches like case studies and surveys, and survey designs including cross-sectional, before-after, and longitudinal studies. It also discusses steps to conduct surveys, question formats, data collection modes, and advantages and limitations of interviews and questionnaires.
The descriptive method is used to gather information about existing conditions and explore causes of phenomena. It involves collecting data to test hypotheses or answer questions about the current status of what is being studied. Information can be obtained through personal interviews, surveys, observation, use of measurement devices, case studies, surveys, developmental studies, longitudinal studies, cross-sectional studies, and documentary analysis. While the descriptive method provides useful information, it has limitations including lack of breadth, difficulty generalizing findings, and potential for bias. Researchers must take care to properly employ the method and avoid simply information gathering rather than true research.
This document outlines the basic steps in research: 1) formulating the problem, 2) conducting exploratory studies to define the problem, 3) designing the research project including determining data needs, sources, and collection methods, 4) collecting data through various methods like observation, interviews, questionnaires, and records, 5) processing and analyzing the data both statistically and through inference, and 6) interpreting the results. The overall aim of research is to discover new facts and revise conclusions to further knowledge.
This document provides an overview of research methodology basics, including the meaning of research, objectives of research, types of research, and the research process. It discusses quantitative and qualitative research methods. Quantitative research uses numerical data and statistical analysis, while qualitative research seeks to understand human behavior through in-depth exploration. Both methods have limitations, such as issues of validity, reliability, and generalizability for qualitative research, and lack of context for quantitative. The document also lists top international research institutes for economics and important research institutes in India. It provides definitions and characteristics of research and covers the key steps in the research process.
The document discusses various data collection methods and sampling strategies for quantitative and qualitative research designs. It begins by outlining the objectives of understanding sampling strategies, data collection methods, and how to identify appropriate methods for a given study. It then covers topics such as gaining access to participants, sampling strategies like random sampling and purposive sampling. Various data collection instruments like questionnaires, interviews, observations, focus groups, think aloud protocols, diaries and journals are also discussed in detail including their strengths and limitations. The document provides an in-depth overview of key considerations for data collection in research.
This document discusses qualitative research methods. Qualitative research seeks to understand a research problem from the perspectives of the local population. It provides information about human behaviors, beliefs, opinions and relationships. When used with quantitative methods, qualitative research can help interpret complex realities and data. Some key aspects of qualitative research include unstructured response options, no statistical tests, and less generalizable but more valid and reliable results depending on the researcher's skill.
This document discusses various methods of data collection that researchers use in studies, including observation, interviews, questionnaires, and archival data. It provides details on the different types of observation (controlled, participant), interviews (structured, semi-structured, unstructured), and considerations for each method. The document also outlines questionnaires as a method and considerations like response rates. Overall, the document serves as an overview of common data collection methods, their uses, and factors to consider like reliability, validity, and biases.
This document provides an introduction and overview of research methods. It outlines the aim and objectives of the course which are to give participants an appreciation of the research process and enable them to describe research, prepare proposals, design instruments, collect and analyze data, and write reports. It defines research and describes the importance of research being systematic, logical, empirical, and replicable. It also discusses the different types of research including basic research, applied research, and evaluation research. The document outlines the overall research process and covers topics such as identifying research areas, the qualities of a good topic, research philosophies including epistemology and axiology, and the different methodologies of quantitative and qualitative research.
This document discusses types of research. It defines research and its purposes. There are several types of research classified based on criteria like purpose and methodology. The main types discussed are basic research, applied research, descriptive research, analytical research, experimental research, qualitative research, quantitative research, and correlational research. Basic research is further divided into experimental research, observational research, theoretical research, descriptive research, comparative research, and historical research.
Optimizing Common Table Expressions in Apache Hive with CalciteStamatis Zampetakis
?
In many real-world queries, certain expressions may appear multiple times, requiring repeated computations to construct the final result. These recurring computations, known as common table expressions (CTEs), can be explicitly defined in SQL queries using the WITH clause or implicitly derived through transformation rules. Identifying and leveraging CTEs is essential for reducing the cost of executing complex queries and is a critical component of modern data management systems.
Apache Hive, a SQL-based data management system, provides powerful mechanisms to detect and exploit CTEs through heuristic and cost-based optimization techniques.
This talk delves into the internals of Hive's planner, focusing on its integration with Apache Calcite for CTE optimization. We will begin with a high-level overview of Hive's planner architecture and its reliance on Calcite in various planning phases. The discussion will then shift to the CTE rewriting phase, highlighting key Calcite concepts and demonstrating how they are employed to optimize CTEs effectively.
Relationship between Happiness & LifeQuality .pdfwrachelsong
?
There a lot of studies showing the correlation between GDP by country and average life satisfcation. Usually, most countries with higher GDP tend to have higher average life satisfaction scores. Inspired by this findings, I began to wonder.. 'What other aspects of life significantly contribute to happiness?' Specifically, we wanted to explore which quality of life indicators have a significant relationship with the happiness scores of different regions.
Research Question : Which quality of life indicators have a significant relationship with the happiness score among different regions?
To address this question, we decided to investigate various factors that might influence happiness, including economic stability, health, social support, and more.
Luis Berrios Nieves, known in the music industry as Nérol El Rey de la Melodia, is an independent composer, songwriter, and producer from Puerto Rico. With extensive experience collaborating with prominent Latin artists, he specializes in reggaeton, salsa, and Latin pop. Nérol’s compositions have been featured in hit songs such as “Porque Les Mientes” by Tito “El Bambino” and Marc Anthony. In this proposal, we will explore why Rimas Music Publishing is the perfect fit for Nérol’s continued success and growth.
The truth behind the numbers: spotting statistical misuse.pptxandyprosser3
?
As a producer of official statistics, being able to define what misinformation means in relation to data and statistics is so important to us.
For our sixth webinar, we explored how we handle statistical misuse especially in the media. We were also joined by speakers from the Office for Statistics Regulation (OSR) to explain how they play an important role in investigating and challenging the misuse of statistics across government.
CloudMonitor - Architecture Audit Review February 2025.pdfRodney Joyce
?
CloudMonitor FinOps is now a Microsoft Certified solution in the Azure Marketplace. This little badge means that we passed a 3rd-party Technical Audit as well as met various sales KPIs and milestones over the last 12 months.
We used our existing Architecture docs for CISOs and Cloud Architects to craft an Audit Response - I've shared it below to help others obtain their cert.
Interestingly, 90% of our customers are in the USA, with very few in Australia. This is odd as the first thing I hear in every meetup and conference, from partners, customers and Microsoft, is that they want to optimise their cloud spend! But very few Australian companies are using the FinOps Framework to lower Azure costs.
2. ? Research is the step by step process of
gathering information
? Reasons for doing research:
1) To generate new knowledge
2) To solve a problem
3) To test a theory
4) To be able to predict an event or outcome
4. Historical research-describes the past
Descriptive research- describes records, analyses
and interprets conditions that permanently exist.
Experimental research-focus on variable--- and
describes what happens when the variables are
carefully controlled or manipulated.
5. ? usually takes the form of statistical or numerical
information.
? It can also be expressed in the form of a rate.
? It is believed that the analysis of statistical data can
indicate both cause and correlation.
? it is used in the Mainstream or conventional ideas
of research which are based on the scientific
method
6. ? Study easily replicable
? Method saves time
? It is cost effective
? It collects standard data
? Validity is enhanced by the use of large
samples
? Data is more objective
7. ? No indication about the respondents personal
state
? Unrepresentative samples can lead to
inaccurate and invalid data
? Generalization may not apply to all people in
all circumstances
8. ? There are 4 types of quantitative research
methods:
1. Surveys
2. Questionnaire
3. Structured interviews
4. Official statistics
9. ? usually large-scale research projects that
collect standardized data from a large cross-
section of the population.
? E.g. Government census.
? There are three (3) types of surveys:
? Descriptive - questions are close-ended and
allow the researcher to make correlations
about social phenomena.
?
10. ? Attitude - asks mainly close-ended questions
that attempt to find out people’s feelings or
opinions: e.g. a party, political figure or
brand of food.
? Explanatory - seeks answers that require
more than a simple yes or no response. They
are given the opportunity to clarify their
feelings in greater depth
11. ? Valid due to data collected from a large cross-
section of the population
? Data can be used to make generalizations
? Statistical technique can be used to analyze data,
thus time-saving
? An unbiased representative sample saves the
researcher the time of having to find all individuals
with relevant information.
13. ? A number of pre-set questions that can
contain open-ended and close-ended or a
combination of both type of questions.
? Steps to constructing a questionnaire:
1. Operationalize key terms and concepts
therefore breaking up terms into sub-
concepts.
2. Formulate questions based on each sub-
topic.
?
?
14. 1) Easy to administer
2) They can reach a large number of people
even if they are geographically disperse
3) It saves time
4) It is not costly
5) Data can be easily tabulated, measured and
analyzed
15. 1) What is gained in reliability may be lost in terms
of validity. e.g.
The wording may intentionally or not, mislead the
respondent
Researcher bias
Respondents may lie or treat the issues lightly
Respondents may forget
2) Postal questionnaires have a low rate of return
and may be filled out by someone other than the
intended respondent.
16. ? Secondary source of data.
? The researcher relies upon other people to
collect data.
17. ? Saves time as it is a readily available source of
data.
? Conclusions drawn are objective because of
lack of interaction.
? Generalizations can be made.
? Researcher can understand the nature of
social change by comparing statistics from
different times.
? Statistics could be used to gain a deeper
understanding of human relationships.
18. ? Producers may be biased in collecting the data.
? The validity of some official reports (e.g. crime)
could be inaccurate because trivial crimes may not
be reported.
? Technological developments make it appear that
more crimes are taking place, therefore
comparisons from past to present would be
inaccurate.
? Due to the fact that it is secondary data, there is a
low level of reliability
19. ? collects subjective data such as information about
people’s emotions, feelings and values.
? The researcher usually interacts directly with the
respondents (i.e. face-to-face) or by actually joining in
their everyday activities
?
? There are 4 forms of qualitative research:
? Unstructured interviews
? Participant observation
? Case studies
? Documents
20. ? Face-to-face interaction process in which the
researcher tries to get as much useful
information as possible from a respondent or a
number of respondents
? It can take the form of a one-session interview or
a number of session
? The respondents’ trust must be gained and
factors such as social class, sex or ethnicity can
influence the level of trust gained
21. 1. The validity of the data is enhanced by the
following:
? Researcher can detect lies or inconsistencies by
observing facial reactions and body language
? Misunderstanding can be clarified
? The researcher can understand the world from the
point of view of the interviewee
? Researcher can gain information that he never
thought about asking
22. 2. It is a more practical research technique for
explaining specific issues, e.g. rape
2. Due to the small sample, it can be useful for
challenging or refuting already existing
ideas
23. 1. Validity is reduced by the following:
? Observer effect
? Deliberate lies on the part of the interviewee
2. Time consuming
3. Large quantities of information can pose
problems for analysis
4. Some interviewees can have limited
knowledge of a particular topic
5. Not cost effective
24. ? Is regarded as a scientific tool because the researcher
studies people in their natural environment by joining
their daily activities
? The researcher must remain as objective – non-
judgemental and not overly involved – as possible
? Researcher can be overt – letting the group members
know that they are being studied - or covert – choose to
keep his identity secret
? Unlike interviews, trust must be gained from the start
25. 1. Validity is enhanced by the following:
?The researcher witnesses the group first hand
?Observer effect is minimized
?Questions can be asked to clarify events and actions
of the group
?Group’s subjective point of view can be understood
?Information can be used to formulate theories about
human behaviour
2. It is a practical method for studying deviant or
secret groups and activities, e.g. gangs,
homosexuality
26. 1. Validity may be compromised by the
following:
?Covert observer may forget information
?Covert observer may provide his own interpretation
because asking questions may reveal his identity
?Overt observation may produce the ob server effect
?There is no standardized way to study human
behaviour
2. It is costly
3. It is time-consuming
27. ? Contains information usually qualitative form
? There are 2 main types of documents – historical and
personal
? Personal documents include letters, diaries, biographies
and autobiographies
? Historical documents are usually information written by
people who lived during a particular era
? Documents are a secondary source of data
28. ? Saves time and money
? Practical method of studying past events
? Provides insight in areas that otherwise one
may not have access to
? Information could be used to measure the
extent of social change
29. ? Invalid because of producer bias
? Information may be difficult to read and may
contain missing pages
? Some documents may be difficult to access
? Information may be limited in scope or
outdated
31. ? This is a sentence in which you clearly state what you
wish to find out.
E.g.. What is the level of hurricane preparedness of a
sample of households in Windy village, Barbados?
Theme
The
Environment
Sub Theme
Natural
Disasters
Problem
Statement?
32. ? A statement which suggests the possible answer to your
problem statement. It mentions a variable or the
relationship between 2 or more variables.
? A variable is a thing/concept that changes.
? E.g.
? 1. Windy Village, St Silas, Barbados is not prepared for
hurricanes.
? 2. The level of preparedness amongst households in Windy
Village, St Silas is affected by their experiences of hurricanes.
33. Identifies
Problem
One must be able to study the
problem. E.g. drug use
makes problem manageable
Narrow down problems or
issues
Impacts on human
development
Stage 1
34. Formulating
Research
Questions
Devise once main
question or point
Devise a set of sub-
questions or concerns
Focus on what the
researcher wants to be
informed about
Create a hypothesis that
can either be accepted or
rejected
Stage 2
35. Literature
Reviews
Research must be
related to problem being
researched
e.g. books, journals,
articles, newspapers
Read as much as
possible on topic
Find info to definition
point
Look at strategies and methods
of other researchers and
compare
Stage 3
36. Data
Collection
Choose sample
Questions must be
focused on what he/she
wants to know
Choose a strategy
relative to study
Design instruments that
will be reliable and valid
Method used must bias free
Stage 4
37. Data
Analysis
Organizes the data
collected for
presentation
Use thin marginal
questions, concerns or
concepts as a guide
This presentation is
guided by research
question or hypothesis
There must be at least 5
different ways of presentations
The most popular formats were
pie charts, bar and live graphs,
flow diagrams, maps,
photographs etc.
Stage 5
38. Interpretation
of Findings
Consider the implications
Stage 6
Describes patterns
and trends
averages, ranges.
States what the data
implies
Explains the
results and
include
contradictions
Accounts for all the
findings presented
39. Discussion
of findings
Compares your
findings with those
presented in the
Literature Review
in relation to the original
questions
Stage 7
Identifies similarities
and differences in the
pattern and trend of
the studies
Ensures all
research
questions
are answered
40. Conclusion
States the limitation
of research/
Methodology.
Suggest at least three (3)
recommendations that
should be practical
solutions which can be
easily implemented
Summarize your results
and restate their
educational value
Stage 8