This document provides guidance on using direct observation techniques to evaluate development programs. It discusses advantages such as observing programs in their natural setting, potential limitations like observer bias, and provides steps to conduct effective direct observations including determining the focus of observation, developing observation forms, selecting sites, deciding on timing, conducting observations, completing forms, and analyzing the data. Direct observation is recommended when performance is not meeting plans, implementation problems exist but are not understood, or process details need to be assessed.
The medicine reconciliation (Med Rec) process can be improved in two main ways: 1) Bringing patients closer to information about their medications and 2) Bringing buried reporting functions in IT systems to the surface. Standardizing the Med Rec process across clinics and developing metrics around staff resources can help improve accuracy. Cultural differences affect who performs Med Rec and how due diligence is achieved. Co-locating doctors and staff like pharmacists can make it easier to reconcile medications. Opportunities exist in streamlining compliance reporting in IT systems, replacing paper records with digital systems, providing medication education, and developing patient materials to track medications outside the hospital.
How to improve patient flow in emergency and ambulatory care, pop up uni, 10a...NHS England
Expo is the most significant annual health and social care event in the calendar, uniting more NHS and care leaders, commissioners, clinicians, voluntary sector partners, innovators and media than any other health and care event.
Expo 15 returned to Manchester and was hosted once again by NHS England. Around 5000 people a day from health and care, the voluntary sector, local government, and industry joined together at Manchester Central Convention Centre for two packed days of speakers, workshops, exhibitions and professional development.
This year, Expo was more relevant and engaging than ever before, happening within the first 100 days of the new Government, and almost 12 months after the publication of the NHS Five Year Forward View. It was also a great opportunity to check on and learn from the progress of Greater Manchester as the area prepares to take over a £6 billion devolved health and social care budget, pledging to integrate hospital, community, primary and social care and vastly improve health and well-being.
More information is available online: www.expo.nhs.uk
We are all engaged in a hospital-wide a system of
patient flow or patient care. We are each part of the
whole. The emergency department is connected
to the ICU. The ICU is connected to the OR. The
discharge and discharge processes are connected
to our admission capabilities and capacity. It’s
like the “Dry Bones” song you learned as a child,
“The foot bone’s connected to the leg bone, the
leg bone’s connected to the knee bone, the knee
bone’s connected to the thigh bone” and so forth.
Overall flow, or “the system,” can only be improved
by applying several key strategic concepts to these
disparate but equal parts.
Using eConsent in Clinical Research to Support Patient Understanding and WelfareCRF Health
Deciding to participate in a clinical trial is not risk-free for any participant. Some studies are designed for healthy volunteers and some are designed for participants with certain medical conditions.
eConsent: Five (5) Key Areas of Preparation CRF Health
Site recruitment and retention of an adequate study population remains a major determinant of the success of a clinical trial. A recent survey to gather opinions on informed consent related to participant understanding, subject recruitment, and retention from 105 respondents' across site-based roles revealed 5 key areas that all sites should consider when preparing an eConsent.
Recruitment & Retention: Breaking Down the Barriers to eConsent AdoptionCRF Health
Informed consent is traditionally obtained through lengthy paper processes, but electronic informed consent (eConsent) offers improvements. eConsent uses multimedia to securely obtain and document informed consent, providing clear audit trails and version control. It facilitates participant comprehension and retention of study details. While sponsors are wary of new technologies, eConsent streamlines processes, provides oversight benefits, and aligns with regulators' views that consent should be an educational tool throughout a study. Integrating eConsent requires identifying practical solutions, but its rewards will contribute to improved outcomes in clinical trials.
The medicine reconciliation (Med Rec) process can be improved in two main ways: 1) Bringing patients closer to information about their medications and 2) Bringing buried reporting functions in IT systems to the surface. Standardizing the Med Rec process across clinics and developing metrics around staff resources can help improve accuracy. Cultural differences affect who performs Med Rec and how due diligence is achieved. Co-locating doctors and staff like pharmacists can make it easier to reconcile medications. Opportunities exist in streamlining compliance reporting in IT systems, replacing paper records with digital systems, providing medication education, and developing patient materials to track medications outside the hospital.
How to improve patient flow in emergency and ambulatory care, pop up uni, 10a...NHS England
Expo is the most significant annual health and social care event in the calendar, uniting more NHS and care leaders, commissioners, clinicians, voluntary sector partners, innovators and media than any other health and care event.
Expo 15 returned to Manchester and was hosted once again by NHS England. Around 5000 people a day from health and care, the voluntary sector, local government, and industry joined together at Manchester Central Convention Centre for two packed days of speakers, workshops, exhibitions and professional development.
This year, Expo was more relevant and engaging than ever before, happening within the first 100 days of the new Government, and almost 12 months after the publication of the NHS Five Year Forward View. It was also a great opportunity to check on and learn from the progress of Greater Manchester as the area prepares to take over a £6 billion devolved health and social care budget, pledging to integrate hospital, community, primary and social care and vastly improve health and well-being.
More information is available online: www.expo.nhs.uk
We are all engaged in a hospital-wide a system of
patient flow or patient care. We are each part of the
whole. The emergency department is connected
to the ICU. The ICU is connected to the OR. The
discharge and discharge processes are connected
to our admission capabilities and capacity. It’s
like the “Dry Bones” song you learned as a child,
“The foot bone’s connected to the leg bone, the
leg bone’s connected to the knee bone, the knee
bone’s connected to the thigh bone” and so forth.
Overall flow, or “the system,” can only be improved
by applying several key strategic concepts to these
disparate but equal parts.
Using eConsent in Clinical Research to Support Patient Understanding and WelfareCRF Health
Deciding to participate in a clinical trial is not risk-free for any participant. Some studies are designed for healthy volunteers and some are designed for participants with certain medical conditions.
eConsent: Five (5) Key Areas of Preparation CRF Health
Site recruitment and retention of an adequate study population remains a major determinant of the success of a clinical trial. A recent survey to gather opinions on informed consent related to participant understanding, subject recruitment, and retention from 105 respondents' across site-based roles revealed 5 key areas that all sites should consider when preparing an eConsent.
Recruitment & Retention: Breaking Down the Barriers to eConsent AdoptionCRF Health
Informed consent is traditionally obtained through lengthy paper processes, but electronic informed consent (eConsent) offers improvements. eConsent uses multimedia to securely obtain and document informed consent, providing clear audit trails and version control. It facilitates participant comprehension and retention of study details. While sponsors are wary of new technologies, eConsent streamlines processes, provides oversight benefits, and aligns with regulators' views that consent should be an educational tool throughout a study. Integrating eConsent requires identifying practical solutions, but its rewards will contribute to improved outcomes in clinical trials.
1-archival data might be acquired from 3 different locations tha.docxdorishigh
1-
archival data might be acquired from 3 different locations that are the following:
1-records: such as absentee, sick leave or vacation record; sales records; employee figures ...etc
2-documents: training manuals and materials; evaluation plans; and job aids ...etc
3- Existing databases: census data, department of labor data; vital statistics as birth, death, marriage, divorce ...etc
Some advantages of archival data are:
- are easily collectable. reviewing records and documents and using databases doesn't require participants to do anything different.
- May provide quantitative data. Records, document, and databases can provide data for evaluation questions that focus on quantity or frequency.
-Allow for the creation of new variables and scales.
Some disadvantages of archival data are:
-Aggregation. Records may be too aggregated to provide useful data.
-Changes over time. Definitions of terms and variables or data collection methods may have changed over time.
-Time consuming. if there are many documents to review, the task can be tedious and costly in term of time.
2-
observation can be a useful method for addressing evaluation questions concerning an employee's or group's behavior or actions before, during,or after a training program or other organization initiatives.Observing people and environments is particularly helpful in studying processes, relationships among people, and the context of certain events and environments. In addition, observation data can provide important information for answering specific evaluation questions for many kinds of evaluations.
3-
There are several choices to be made when considering how to collect and record observation data. one can need qualitative observations, and where qualitative data are required, the evaluators simply writes down detailed information in the form of a narrative as they are observing. the purpose of qualitative observations is to describe. while the interpretations of observations are left to the data analysis phase.
another choice to use for the observation methods is the video recording of someone's performance to collect that kind of data. the evaluator positions a video camera to record the individual's actions.
a third technique used for collecting observation methods is the use of still photographs. here the evaluator may decide to take photographs of the organization's environment, the employee's workspace, employees performing some tasks or interactions among employees.
The fourth method that can be used for that is the use of checklist or rating form. the evaluator develops a list of questions or items that will guide the observation.
4 while responding to a likert scale, some people feel compelled to put a mark somewhere in between numbers on the scale, for example between the 2 and the 3. this scale allows the responses of varying degrees to each specific survey item. it is important to provide these descriptions so that the respondents can provide their opini ...
Scanned by CamScanner1-archival data might be acquired.docxkenjordan97598
Scanned by CamScanner
1-
archival data might be acquired from 3 different locations that are the following:
1-records: such as absentee, sick leave or vacation record; sales records; employee figures ...etc
2-documents: training manuals and materials; evaluation plans; and job aids ...etc
3- Existing databases: census data, department of labor data; vital statistics as birth, death, marriage, divorce ...etc
Some advantages of archival data are:
- are easily collectable. reviewing records and documents and using databases doesn't require participants to do anything different.
- May provide quantitative data. Records, document, and databases can provide data for evaluation questions that focus on quantity or frequency.
-Allow for the creation of new variables and scales.
Some disadvantages of archival data are:
-Aggregation. Records may be too aggregated to provide useful data.
-Changes over time. Definitions of terms and variables or data collection methods may have changed over time.
-Time consuming. if there are many documents to review, the task can be tedious and costly in term of time.
2-
observation can be a useful method for addressing evaluation questions concerning an employee's or group's behavior or actions before, during,or after a training program or other organization initiatives.Observing people and environments is particularly helpful in studying processes, relationships among people, and the context of certain events and environments. In addition, observation data can provide important information for answering specific evaluation questions for many kinds of evaluations.
3-
There are several choices to be made when considering how to collect and record observation data. one can need qualitative observations, and where qualitative data are required, the evaluators simply writes down detailed information in the form of a narrative as they are observing. the purpose of qualitative observations is to describe. while the interpretations of observations are left to the data analysis phase.
another choice to use for the observation methods is the video recording of someone's performance to collect that kind of data. the evaluator positions a video camera to record the individual's actions.
a third technique used for collecting observation methods is the use of still photographs. here the evaluator may decide to take photographs of the organization's environment, the employee's workspace, employees performing some tasks or interactions among employees.
The fourth method that can be used for that is the use of checklist or rating form. the evaluator develops a list of questions or items that will guide the observation.
4 while responding to a likert scale, some people feel compelled to put a mark somewhere in between numbers on the scale, for example between the 2 and the 3. this scale allows the responses of varying degrees to each specific survey item. it is important to provide these descriptions so that the respondents.
The document discusses validation therapy, which is a therapeutic approach developed to care for individuals with dementia by acknowledging and accepting their personal realities rather than imposing new insights. Validation therapy focuses on using techniques to understand patients' feelings, losses, needs, and perceptions of reality to guide behaviors, rather than viewing behaviors as solely dependent on brain function. The core assumption of validation therapy is that behavior is guided by both physical and psychosocial factors, including damage to memory and identity.
Certified Specialist Business Intelligence (.docxdurantheseldine
Certified Specialist Business
Intelligence (CSBI) Reflection
Part 5 of 6
CSBI Course 5: Business Intelligence and Analytical and Quantitative Skills
● Thinking about the Basics
● The Basic Elements of Experimental Design
● Sampling
● Common Mistakes in Analysis
● Opportunities and Problems to Solve
● The Low Severity Level ED (SL5P) Case Setup as an Example of BI Work
● Meaningful Analytic Structures
Analysis and Statistics
A key aspect of the work of the BI/Analytics consultant is analysis. Analysis can be defined as
how the data is turned into information. Information is the outcome when the data is analyzed
correctly.
Rigorous analysis is having the best chance of creating the sharpest picture of what the data
might reveal and is the product of proper application of statistics and experimental design.
Statistics encompasses a complex and detailed series of disciplines. Statistical concepts are
foundational to all descriptive, predictive and prescriptive analytic applications. However, the
application of simple descriptive statistical calculations yields a great deal of usable information
for transformational decision-making. The value of the information is amplified when using these
same simple statistics within the context of a well-designed experiment.
This module is not designed to teach one statistic. It is designed to place statistical work within
the appropriate context so that it can be leveraged most effectively in driving organizational
performance..
An important review of the basic knowledge for work with descriptive and inferential statistics.
The Basic Elements of Experimental Design
Analytic tools also can provide an enhanced ability to conduct experiments. More than just
allowing analysis of output of activities or processes, experiments can be performed on
processes and the output of processes. Experimenting on processes is a movement beyond
the traditional r.
The document outlines the steps for conducting an education needs assessment. It discusses that an education needs assessment establishes the need for a particular project by examining audience interest, knowledge, and environmental issues. The needs assessment process involves planning, defining participants, designing data collection strategies, gathering and analyzing data, and reporting results to identify priority needs. Key steps include using the TOP model to guide data collection, determining appropriate sampling, designing instruments, and analyzing both qualitative and quantitative data collected. The overall goal is to systematically identify any gaps in existing education services to effectively design new education projects.
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.
Weakness and strength of Primary and secondary dataMfaume
Diagnosis is a critical process that involves data collection, interpretation and identification of problem area. Critically discuss the method of data collection and provide their strength and weakness in diagnosis process.
Outline the four steps in the data collection process.Explain why .pdfSIGMATAX1
Outline the four steps in the data collection process.
Explain why it is so important to be systematic in collecting data.
Solution
Step 1: Identify issues and/or opportunities for collecting dataordata collection goals
what problem are you trying to solve by collecting this data?
Step 2:Develop operational definitions and procedures.
Here we need to be very clear as to what we are measuring, how it is to be measured, and who is
to measure it. Often times we will employ sampling in which case we need to define a sampling
plan.
. Who will the data be collected about?
. Who will the group of interest be compared to?
. What locations or geographical areas will the data be gathered from?
. What categories will be used to identify the group of interest and comparator group?
Step 3 : How should data be collected and What sources of data should be used to collect
information?
There are several methods of collecting data: online-surveys, phone interviews, focus groups and
yes, even dreaded handwritten surveys. Each type possesses its own advantages and
disadvantages. Whichever method you use, there are bound to be obstacles to overcome along
the way.
What sources of data should be used to collect information?
Pre-existing or official data
Survey data
Interviews and focus groups
Observed data
. Two types of data are used in any field of research: qualitative and quantitative.
Qualitative data:
Typically, data is called “qualitative” if it is in the form of words, but may also include any
information that is not numerical in form, such as photographs, videos and sound recordings.
Qualitative methods are aimed at describing a specific context, event, people or relationship in a
broad contextual way, by trying to understand the underlying reasons for behaviour, thoughts
and feelings.
Common qualitative research methods include observation, one-on-one interviews, focus groups
and intensive case studies
Quantitative data:
Typically, data is called “quantitative” if it is in the form of numbers.
A quantitative approach can be used to count events or the number of people who represent a
particular background.
Common quantitative tools include surveys, questionnaires and statistical data (such as Statistics
Canada census information).
It is important to note that all quantitative data is based on qualitative judgment. In other words,
numbers cannot be interpreted by themselves, without understanding the assumptions that
underlie them.
A good research effort involves the use of both types. Both approaches, while distinct, can
overlap and rely on the other to produce meaningful data, analysis and results.
Step 4 : Analyze and interpret data and Act on results
Explaining the technical steps involved in analyzing and interpreting data is beyond the scope of
this guide. An organization will have to determine whether it has the internal capacity and
expertise to analyze and interpret data itself, or whether it will need the help of an external
consultant.
. A summa.
Summer training reports s atya pppppppppppppppppppSatya Prakash
The document discusses opportunities and threats for a company that serves over 1 billion people in more than 200 countries. Some key opportunities mentioned are expanding offerings in countries like India where the company only has 11 of over 400 products. Threats include government policies, strong competitors like PepsiCo, and reliance on distributors. The objective of the author's thesis is to study promotional schemes by Coca-Cola India and compare their merits and limitations. Research methods to be used include interviews, questionnaires, and data analysis tools like ANOVA, t-tests, bar charts and pie charts. Limitations discussed are the time-bound nature of the report and issues collecting complete questionnaire data.
The document outlines the procedure for writing a report, which includes:
1) Defining objectives and aims of the research
2) Collecting primary data through methods like surveys and interviews
3) Collecting and evaluating relevant secondary data
4) Designing a primary research study
5) Analyzing the collected data
6) Preparing a report with a results and discussion section and recommendations
survey method.ppt community medicine psmDr Ramniwas
The document discusses survey methods and how to conduct surveys, including determining objectives, selecting a methodology, constructing questionnaires or schedules, sampling techniques, data collection and analysis. Surveys are used to collect information on topics such as health conditions, program planning and evaluation, and making comparisons. The document outlines the various steps involved in conducting a survey from start to finish.
5 step approach to successful marketing researchbabar mushtaq
The document outlines the 5 steps of the marketing research process: 1) Defining the problem, 2) Analyzing the situation, 3) Getting problem-specific data, 4) Interpreting the data, and 5) Solving the problem. It emphasizes that properly defining the problem is critical, as researching the wrong problem wastes time and resources. Secondary research including informal discussions can help define the problem and determine if primary research is needed. Primary research methods include qualitative questioning, quantitative surveys, and observation. Proper interpretation and application of the research findings is necessary to solve the problem and guide marketing decisions.
Topic 5 Conducting Surveys, Experiment of observation.pdfRubenAgacio
This document provides information about conducting surveys, experiments, and observations for research purposes. It discusses the steps and processes involved in each method. For surveys, it outlines designing and distributing the survey, analyzing responses, and reporting results. For experiments, it explains using the scientific method, having a hypothesis and variables, collecting quantifiable data, and drawing conclusions. For observations, it discusses taking descriptive notes in natural settings, both observing people and environments, and potential limitations and strengths.
This chapter discusses methods for collecting data in research. It describes several common methods like surveys, interviews, tests, observations, and record reviews. It emphasizes the importance of reliability and validity in ensuring accurate and meaningful results. Reliability refers to collecting data precisely the same way each time. Validity refers to measuring what was intended. The chapter provides examples of how to check for reliability and validity, such as using a standardized scale or cross-checking survey responses with biochemical tests. Errors can decrease accuracy and should be minimized.
Primary research involves directly collecting original data through methods like observation, surveys, and experiments. It provides more accurate and in-depth information than secondary research. Some advantages of primary data include obtaining accurate real-time data, gaining more depth of understanding, and having more control over the research process. However, primary research also has limitations like being more time-consuming and expensive than secondary research. Common primary data sources include direct observation, mechanical data like scanner data, interviews, and experiments.
This document discusses different research methods including primary, secondary, qualitative, and quantitative research. It provides definitions and examples of each method. Primary research involves collecting original data through methods like surveys and experiments. Secondary research uses existing data from sources like government records. Qualitative research focuses on descriptions through observations and interviews, while quantitative research measures and analyzes numerical data through statistics. Each method has advantages and disadvantages for different research needs and situations.
This is an exclusive presentation on data collection for researchers in National Institutes Labor of Administration & Training (NILAT), Ministry of production, government of Pakistan
The document provides best practices for administering feedback surveys to administrators using the IDEA evaluation tool. It recommends determining the purpose of the survey, adopting a systematic rather than sporadic survey schedule, identifying appropriate respondents, using additional questions, determining how results will be disseminated, preparing respondents, and encouraging reflection on results. The primary goals are to provide formative feedback to guide improvement efforts and encourage thoughtful reflection from administrators on how to higher performance.
Rate Controlled Drug Delivery Systems, Activation Modulated Drug Delivery Systems, Mechanically activated, pH activated, Enzyme activated, Osmotic activated Drug Delivery Systems, Feedback regulated Drug Delivery Systems systems are discussed here.
Joker Wigs has been a one-stop-shop for hair products for over 26 years. We provide high-quality hair wigs, hair extensions, hair toppers, hair patch, and more for both men and women.
1-archival data might be acquired from 3 different locations tha.docxdorishigh
1-
archival data might be acquired from 3 different locations that are the following:
1-records: such as absentee, sick leave or vacation record; sales records; employee figures ...etc
2-documents: training manuals and materials; evaluation plans; and job aids ...etc
3- Existing databases: census data, department of labor data; vital statistics as birth, death, marriage, divorce ...etc
Some advantages of archival data are:
- are easily collectable. reviewing records and documents and using databases doesn't require participants to do anything different.
- May provide quantitative data. Records, document, and databases can provide data for evaluation questions that focus on quantity or frequency.
-Allow for the creation of new variables and scales.
Some disadvantages of archival data are:
-Aggregation. Records may be too aggregated to provide useful data.
-Changes over time. Definitions of terms and variables or data collection methods may have changed over time.
-Time consuming. if there are many documents to review, the task can be tedious and costly in term of time.
2-
observation can be a useful method for addressing evaluation questions concerning an employee's or group's behavior or actions before, during,or after a training program or other organization initiatives.Observing people and environments is particularly helpful in studying processes, relationships among people, and the context of certain events and environments. In addition, observation data can provide important information for answering specific evaluation questions for many kinds of evaluations.
3-
There are several choices to be made when considering how to collect and record observation data. one can need qualitative observations, and where qualitative data are required, the evaluators simply writes down detailed information in the form of a narrative as they are observing. the purpose of qualitative observations is to describe. while the interpretations of observations are left to the data analysis phase.
another choice to use for the observation methods is the video recording of someone's performance to collect that kind of data. the evaluator positions a video camera to record the individual's actions.
a third technique used for collecting observation methods is the use of still photographs. here the evaluator may decide to take photographs of the organization's environment, the employee's workspace, employees performing some tasks or interactions among employees.
The fourth method that can be used for that is the use of checklist or rating form. the evaluator develops a list of questions or items that will guide the observation.
4 while responding to a likert scale, some people feel compelled to put a mark somewhere in between numbers on the scale, for example between the 2 and the 3. this scale allows the responses of varying degrees to each specific survey item. it is important to provide these descriptions so that the respondents can provide their opini ...
Scanned by CamScanner1-archival data might be acquired.docxkenjordan97598
Scanned by CamScanner
1-
archival data might be acquired from 3 different locations that are the following:
1-records: such as absentee, sick leave or vacation record; sales records; employee figures ...etc
2-documents: training manuals and materials; evaluation plans; and job aids ...etc
3- Existing databases: census data, department of labor data; vital statistics as birth, death, marriage, divorce ...etc
Some advantages of archival data are:
- are easily collectable. reviewing records and documents and using databases doesn't require participants to do anything different.
- May provide quantitative data. Records, document, and databases can provide data for evaluation questions that focus on quantity or frequency.
-Allow for the creation of new variables and scales.
Some disadvantages of archival data are:
-Aggregation. Records may be too aggregated to provide useful data.
-Changes over time. Definitions of terms and variables or data collection methods may have changed over time.
-Time consuming. if there are many documents to review, the task can be tedious and costly in term of time.
2-
observation can be a useful method for addressing evaluation questions concerning an employee's or group's behavior or actions before, during,or after a training program or other organization initiatives.Observing people and environments is particularly helpful in studying processes, relationships among people, and the context of certain events and environments. In addition, observation data can provide important information for answering specific evaluation questions for many kinds of evaluations.
3-
There are several choices to be made when considering how to collect and record observation data. one can need qualitative observations, and where qualitative data are required, the evaluators simply writes down detailed information in the form of a narrative as they are observing. the purpose of qualitative observations is to describe. while the interpretations of observations are left to the data analysis phase.
another choice to use for the observation methods is the video recording of someone's performance to collect that kind of data. the evaluator positions a video camera to record the individual's actions.
a third technique used for collecting observation methods is the use of still photographs. here the evaluator may decide to take photographs of the organization's environment, the employee's workspace, employees performing some tasks or interactions among employees.
The fourth method that can be used for that is the use of checklist or rating form. the evaluator develops a list of questions or items that will guide the observation.
4 while responding to a likert scale, some people feel compelled to put a mark somewhere in between numbers on the scale, for example between the 2 and the 3. this scale allows the responses of varying degrees to each specific survey item. it is important to provide these descriptions so that the respondents.
The document discusses validation therapy, which is a therapeutic approach developed to care for individuals with dementia by acknowledging and accepting their personal realities rather than imposing new insights. Validation therapy focuses on using techniques to understand patients' feelings, losses, needs, and perceptions of reality to guide behaviors, rather than viewing behaviors as solely dependent on brain function. The core assumption of validation therapy is that behavior is guided by both physical and psychosocial factors, including damage to memory and identity.
Certified Specialist Business Intelligence (.docxdurantheseldine
Certified Specialist Business
Intelligence (CSBI) Reflection
Part 5 of 6
CSBI Course 5: Business Intelligence and Analytical and Quantitative Skills
● Thinking about the Basics
● The Basic Elements of Experimental Design
● Sampling
● Common Mistakes in Analysis
● Opportunities and Problems to Solve
● The Low Severity Level ED (SL5P) Case Setup as an Example of BI Work
● Meaningful Analytic Structures
Analysis and Statistics
A key aspect of the work of the BI/Analytics consultant is analysis. Analysis can be defined as
how the data is turned into information. Information is the outcome when the data is analyzed
correctly.
Rigorous analysis is having the best chance of creating the sharpest picture of what the data
might reveal and is the product of proper application of statistics and experimental design.
Statistics encompasses a complex and detailed series of disciplines. Statistical concepts are
foundational to all descriptive, predictive and prescriptive analytic applications. However, the
application of simple descriptive statistical calculations yields a great deal of usable information
for transformational decision-making. The value of the information is amplified when using these
same simple statistics within the context of a well-designed experiment.
This module is not designed to teach one statistic. It is designed to place statistical work within
the appropriate context so that it can be leveraged most effectively in driving organizational
performance..
An important review of the basic knowledge for work with descriptive and inferential statistics.
The Basic Elements of Experimental Design
Analytic tools also can provide an enhanced ability to conduct experiments. More than just
allowing analysis of output of activities or processes, experiments can be performed on
processes and the output of processes. Experimenting on processes is a movement beyond
the traditional r.
The document outlines the steps for conducting an education needs assessment. It discusses that an education needs assessment establishes the need for a particular project by examining audience interest, knowledge, and environmental issues. The needs assessment process involves planning, defining participants, designing data collection strategies, gathering and analyzing data, and reporting results to identify priority needs. Key steps include using the TOP model to guide data collection, determining appropriate sampling, designing instruments, and analyzing both qualitative and quantitative data collected. The overall goal is to systematically identify any gaps in existing education services to effectively design new education projects.
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.
Weakness and strength of Primary and secondary dataMfaume
Diagnosis is a critical process that involves data collection, interpretation and identification of problem area. Critically discuss the method of data collection and provide their strength and weakness in diagnosis process.
Outline the four steps in the data collection process.Explain why .pdfSIGMATAX1
Outline the four steps in the data collection process.
Explain why it is so important to be systematic in collecting data.
Solution
Step 1: Identify issues and/or opportunities for collecting dataordata collection goals
what problem are you trying to solve by collecting this data?
Step 2:Develop operational definitions and procedures.
Here we need to be very clear as to what we are measuring, how it is to be measured, and who is
to measure it. Often times we will employ sampling in which case we need to define a sampling
plan.
. Who will the data be collected about?
. Who will the group of interest be compared to?
. What locations or geographical areas will the data be gathered from?
. What categories will be used to identify the group of interest and comparator group?
Step 3 : How should data be collected and What sources of data should be used to collect
information?
There are several methods of collecting data: online-surveys, phone interviews, focus groups and
yes, even dreaded handwritten surveys. Each type possesses its own advantages and
disadvantages. Whichever method you use, there are bound to be obstacles to overcome along
the way.
What sources of data should be used to collect information?
Pre-existing or official data
Survey data
Interviews and focus groups
Observed data
. Two types of data are used in any field of research: qualitative and quantitative.
Qualitative data:
Typically, data is called “qualitative” if it is in the form of words, but may also include any
information that is not numerical in form, such as photographs, videos and sound recordings.
Qualitative methods are aimed at describing a specific context, event, people or relationship in a
broad contextual way, by trying to understand the underlying reasons for behaviour, thoughts
and feelings.
Common qualitative research methods include observation, one-on-one interviews, focus groups
and intensive case studies
Quantitative data:
Typically, data is called “quantitative” if it is in the form of numbers.
A quantitative approach can be used to count events or the number of people who represent a
particular background.
Common quantitative tools include surveys, questionnaires and statistical data (such as Statistics
Canada census information).
It is important to note that all quantitative data is based on qualitative judgment. In other words,
numbers cannot be interpreted by themselves, without understanding the assumptions that
underlie them.
A good research effort involves the use of both types. Both approaches, while distinct, can
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Using directobservationstechniques
1. USAID's
reengineering guid-
ance encourages
the use of rapid, low
cost methods for
collecting informa-
tion on the perfor-
mance of our devel-
opment activities.
Direct observation,
the subject of this
Tips, is one such
method.
PN-ABY-208
1996, Number 4
Performance Monitoring and Evaluation
TIPSUSAID Center for Development Information and Evaluation
USING DIRECT OBSERVATION TECHNIQUES
What is Direct Observation?
Most evaluation teams conduct some fieldwork, observing what's actually going on at
assistance activity sites. Often, this is done informally, without much thought to the
quality of data collection. Direct observation techniques allow for a more systematic,
structured process, using well-designed observation record forms.
Advantages and Limitations
The main advantage of direct observation is that an event, institution, facility, or
process can be studied in its natural setting, thereby providing a richer understanding
of the subject.
For example, an evaluation team that visits microenterprises is likely to better
understand their nature, problems, and successes after directly observing their
products, technologies, employees, and processes, than by relying solely on
documents or key informant interviews. Another advantage is that it may reveal
conditions, problems, or patterns many informants may be unaware of or unable to
describe adequately.
On the negative side, direct observation is susceptible to observer bias. The very act
of observation also can affect the behavior being studied.
When Is Direct Observation Useful?
Direct observation may be useful:
When performance monitoring data indicate results are not being
accomplished as planned, and when implementation problems are suspected,
but not understood. Direct observation can help identify whether the process
is poorly implemented or required inputs are absent.
When details of an activity's process need to be assessed, such as whether
tasks are being implementing according to standards required for
effectiveness.
When an inventory of physical facilities and inputs is needed and not
available from existing sources.
2. 2
OBSERVATION OF GROWTH
MONITORING SESSION
Name of the Observer
Date
Time
Place
Was the scale set to 0 at the beginning of the growth
session?
Yes______ No ______
How was age determined?
By asking______
From growth chart_______
Other_______
When the child was weighed, was it stripped to
practical limit?
Yes______ No______
Was the weight read correctly?
Yes______No______
Process by which weight and age transferred to record
Health Worker wrote it_____
Someone else wrote it______ Other______
Did Health Worker interpret results for the mother?
Yes_______No_______
When interview methods are unlikely to elicit When preparing direct observation forms, consider the
needed information accurately or reliably, either following:
because the respondents don't know or may be
reluctant to say.
Steps in Using Direct Observation
The quality of direct observation can be improved by
following these steps.
Step 1. Determine the focus
Because of typical time and resource constraints, direct
observation has to be selective, looking at a few activities,
events, or phenomena that are central to the evaluation
questions.
For example, suppose an evaluation team intends to study a
few health clinics providing immunization services for
children. Obviously, the team can assess a variety of
areas—physical facilities and surroundings, immunization
activities of health workers, recordkeeping and managerial
services, and community interactions. The team should
narrow its focus to one or two areas likely to generate the
most useful information and insights.
Next, break down each activity, event, or phenomena into
subcomponents. For example, if the team decides to look at
immunization activities of health workers, prepare a list of
the tasks to observe, such as preparation of vaccine,
consultation with mothers, and vaccine administration.
Each task may be further divided into subtasks; for
example, administering vaccine likely includes preparing
the recommended doses, using the correct administration
technique, using sterile syringes, and protecting vaccine
from heat and light during use.
If the team also wants to assess physical facilities and
surroundings, it will prepare an inventory of items to be
observed.
Step 2. Develop direct observation forms
The observation record form should list the items to be
observed and provide spaces to record observations. These
forms are similar to survey questionnaires, but
investigators record their own observations, not
respondents' answers.
Observation record forms help standardize the observation
process and ensure that all important items are covered.
They also facilitate better aggregation of data gathered
from various sites or by various investigators. An excerpt
from a direct observation form used in a study of primary
health care in the Philippines provides an illustration below.
1. Identify in advance the possible response categories for
each item, so that the observer can answer with a simple
yes or no, or by checking the appropriate answer. Closed
response categories help minimize observer variation, and
therefore improve the quality of data.
2. Limit the number of items in a form. Forms should
normally not exceed 40–50 items. If nessary, it is better to
use two or more smaller forms than a single large one that
runs several pages.
3. 3
3. Provide adequate space to record additional observations People and organizations follow daily routines associated
for which response categories were not determined. with set times. For example, credit institutions may accept
4. Use of computer software designed to create forms can
be very helpful. It facilitates a neat, unconfusing form that
can be easily completed.
Step 3. Select the sites
Once the forms are ready, the next step is to decide where
the observations will be carried out and whether it will be
based on one or more sites.
A single site observation may be justified if a site can be
treated as a typical case or if it is unique. Consider a
situation in which all five agricultural extension centers
established by an assistance activity have not been
performing well. Here, observation at a single site may be
justified as a typical case. A single site observation may
also be justified when the case is unique; for example, if
only one of five centers had been having major problems,
and the purpose of the evaluation is trying to discover why. Allow sufficient time for direct observation. Brief visits can
However, single site observations should be avoided be deceptive partly because people tend to behave
generally, because cases the team assumes to be typical or differently in the presence of observers. It is not
unique may not be. As a rule, several sites are necessary to uncommon, for example, for health workers to become
obtain a reasonable understanding of a situation. more caring or for extension workers to be more
In most cases, teams select sites based on experts' advice.
The investigator develops criteria for selecting sites, then
relies on the judgment of knowledgeable people. For
example, if a team evaluating a family planning project
decides to observe three clinics—one highly successful,
one moderately successful, and one struggling clinic—it Use a team approach. If possible, two observers should
may request USAID staff, local experts, or other observe together. A team can develop more
informants to suggest a few clinics for each category. The comprehensive, higher quality data, and avoid individual
team will then choose three after examining their bias.
recommendations. Using more than one expert reduces
individual bias in selection.
Alternatively, sites can be selected based on data from observation forms are clear, straightforward, and mostly
performance monitoring. For example, activity sites closed-ended.
(clinics, schools, credit institutions) can be ranked from
best to worst based on performance measures, and then a
sample drawn from them.
Step 4. Decide on the best timing
Timing is critical in direct observation, especially when conscious or disturb the situation. In these cases, recording
events are to be observed as they occur. Wrong timing can should take place as soon as possible after observation.
distort findings. For example, rural credit
organizations receive most loan applications during the
planting season, when farmers wish to purchase
agricultural inputs. If credit institutions are observed during
the nonplanting season, an inaccurate picture of loan
processing may result.
loan applications in the morning; farmers in tropical
climates may go to their fields early in the morning and
return home by noon. Observation periods should reflect
work rhythms.
Step 5. Conduct the field observation
Establish rapport. Before embarking on direct observation,
a certain level of rapport should be established with the
people, community, or organization to be studied. The
presence of outside observers, especially if officials or
experts, may generate some anxiety among those being
observed. Often informal, friendly conversations can
reduce anxiety levels.
Also, let them know the purpose of the observation is not to
report on individuals' performance, but to find out what
kind of problems in general are being encountered.
persuasive when being watched. However, if observers
stay for relatively longer periods, people become less self-
conscious and gradually start behaving naturally. It is
essential to stay at least two or three days on a site to
gather valid, reliable data.
Train observers. If many sites are to be observed,
nonexperts can be trained as observers, especially if
Step 6. Complete forms
Take notes as inconspicuously as possible. The best time
for recording is during observation. However, this is not
always feasible because it may make some people self-
Step 7. Analyze the data
Data from close-ended questions from the observation
form can be analyzed using basic procedures such as
frequency counts and cross-tabulations. Statistical software
packages such as SAS or SPSS facilitate such statistical
analysis and data display.
4. 4
Direct Observation of Primary
Health Care Services in the Philippines
An example of structured direct observation was an
effort to identify deficiencies in the primary health
care system in the Philippines. It was part of a
larger, multicountry research project, the Primary
Health Care Operations Research Project (PRICOR).
The evaluators prepared direct observation forms
covering the activities, tasks, and subtasks health
workers must carry out in health clinics to
accomplish clinical objectives. These forms were
closed-ended and in most cases observations could
simply be checked to save time. The team looked at
18 health units from a "typical" province, including
samples of units that were high, medium and low
performers in terms of key child survival outcome
indicators.
The evaluation team identified and quantified many
problems that required immediate government
attention. For example, in 40 percent of the cases
where followup treatment was required at home,
health workers failed to tell mothers the timing and
amount of medication required. In 90 percent of
cases, health workers failed to explain to mothers the
results of child weighing and growth plotting, thus
missing the opportunity to involve mothers in the
nutritional care of their child. Moreover, numerous
errors were made in weighing and plotting.
This case illustrates that use of closed-ended
observation instruments promotes the reliability and
consistency of data. The findings are thus more
credible and likely to influence program managers to
make needed improvements.
CDIE's Tips series provide advice and suggestions to
USAID managers on how to plan and conduct
performance monitoring and evaluation activities.
They are supplemental references to the reengineering
automated directives system (ADS), chapter 203. For
further information, contact Annette Binnendijk, CDIE
Senior Evaluation Advisor, phone (703) 875–4235, fax
(703) 875–4866, or e-mail. Tips can be ordered from
the Development Information Services Clearinghouse
by calling (703) 351-4006 or by faxing (703) 351–4039.
Please refer to the PN number. To order via Internet,
address requests to
docorder@disc.mhs.compuserve.com
Analysis of any open-ended interview questions can also sites selected; using closed-ended, unambiguous response
provide extra richness of understanding and insights. Here, categories on the observation forms, recording observations
use of database management software with text storage promptly, and using teams of observers at each site.
capabilities, such as dBase, can be useful.
Step 8. Check for reliability and validity.
Direct observation techniques are susceptible to error and
bias that can affect reliability and validity. These can be
minimized by following some of the procedures suggested,
such as checking the representativeness of the sample of
Selected Further Reading
Information in this Tips is based on "Rapid Data Collection
Methods for Field Assessments" by Krishna Kumar, in
Team Planning Notebook for Field-Based Program
Assessments (USAID PPC/CDIE, 1991).
For more on direct observation techniques applied to the
Philippines health care system, see Stewart N. Blumenfeld,
Manuel Roxas, and Maricor de los Santos, "Systematic
Observation in the Analysis of Primary Health Care
Services," in Rapid Appraisal Methods, edited by Krishna
Kumar (The World Bank:1993)