Data Collection Methods

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Questions and Answers

A researcher aims to examine the effectiveness of a new teaching method on student test scores. Which research design is most suitable?

  • Use of existing studies, because the teaching method might have been used before somewhere.
  • Qualitative design, to explore students' subjective experiences with the method.
  • A mixed methods design, equally balancing qualitative interviews and quantitative surveys.
  • Quantitative design, to measure and compare test scores between groups. (correct)

A researcher is conducting an experiment on plant growth, manipulating sunlight exposure and fertilizer concentration. Which data collection method aligns with this?

  • Survey methods, administering questionnaires to botanists.
  • Experimental methods, controlling conditions to observe effects on plant growth. (correct)
  • Use of existing studies, analyzing data from previous plant growth experiments.
  • Observation/Monitoring methods, recording plant growth in a natural, undisturbed environment.

In which scenario would a qualitative research design be most appropriate?

  • Testing the effectiveness of a new drug on reducing blood pressure levels.
  • Measuring the correlation between exercise frequency and weight loss in adults.
  • Determining the average income of households in a specific city.
  • Gaining an in-depth understanding of the cultural practices within a remote village. (correct)

A researcher wants to understand the experiences of nurses working during a pandemic. Which data collection method would be most appropriate?

<p>Conducting in-depth interviews to explore their feelings, challenges, and coping mechanisms. (D)</p> Signup and view all the answers

When should ethical implications be considered when collecting data?

<p>Throughout the entire research process, from planning to dissemination. (D)</p> Signup and view all the answers

A researcher uses crime statistics collected by a government agency to analyze trends in criminal activity. What data collection method is being used?

<p>Use of existing studies, collecting data from pre-existing sources. (B)</p> Signup and view all the answers

What is the primary goal of using a research design?

<p>To integrate different components of a study in a coherent and logical way. (D)</p> Signup and view all the answers

A researcher is exploring a new phenomenon with limited existing research. Which aspect of a qualitative design is most beneficial in this scenario?

<p>The flexible and inductive nature. (B)</p> Signup and view all the answers

A researcher aims to study the experiences of nurses working in intensive care units across the country. Due to limited resources, they decide to survey all nurses in a few randomly selected hospitals. Which sampling technique is being used?

<p>Cluster Sampling (B)</p> Signup and view all the answers

Which of the following scenarios would MOST likely benefit from snowball sampling?

<p>Investigating the experiences of individuals with a rare medical condition. (C)</p> Signup and view all the answers

A marketing firm wants to gather feedback on a new product. They decide to survey every 10th customer entering a particular store. What sampling method are they employing?

<p>Systematic Sampling (A)</p> Signup and view all the answers

A researcher is studying job satisfaction among employees at a large corporation. The researcher divides the employees into departments (e.g., marketing, finance, IT) and then randomly selects a proportionate number of employees from each department to survey. Which sampling technique is being used?

<p>Stratified Sampling (D)</p> Signup and view all the answers

A polling organization wants to predict the outcome of an election. They randomly call landline phone numbers from a list of registered voters. What is a potential source of bias in this sampling method?

<p>People without landline phones (e.g., younger voters who primarily use cell phones) are excluded from the sample. (A)</p> Signup and view all the answers

Which of the following is a key difference between probability and non-probability sampling techniques?

<p>Probability sampling involves random selection, while non-probability sampling does not. (D)</p> Signup and view all the answers

A researcher wants to investigate the effects of a new teaching method on student performance. They select two classes: one that will be taught using the new method and one that will be taught using the traditional method. They choose the classes based on the willingness of the teachers to participate. What type of sampling is being used for selecting classes?

<p>Convenience Sampling (A)</p> Signup and view all the answers

A quality control engineer needs to assess the reliability of a batch of manufactured parts. To ensure representation from different production lines, they divide the parts into groups based on the production line and randomly select parts from each group. What method is being employed?

<p>Stratified Sampling (C)</p> Signup and view all the answers

A researcher aims to study the effectiveness of a new teaching method on student performance in a specific school district. They collect data on student test scores from the district's database and compare it to a control group using a traditional method. What type of data source is being utilized?

<p>External data, as the data is collected from a source outside of the researcher's own project. (B)</p> Signup and view all the answers

A team of scientists is investigating the effects of a new drug on blood pressure. They pool data from 10 different clinical trials, statistically combining the results to determine the overall effect size. What type of data analysis is being used?

<p>Meta-analysis, because the scientists are combining data from multiple studies for a quantitative synthesis. (A)</p> Signup and view all the answers

A researcher is conducting a study on the prevalence of a rare genetic disorder in a specific population. To ensure representation from all subgroups, they intentionally select a larger proportion of participants from underrepresented communities. What technique are they employing to address potential sampling bias?

<p>Oversampling (D)</p> Signup and view all the answers

Researchers conduct a study to determine if a new fertilizer increases crop yield. They carefully control all environmental factors in their experimental plots. What aspect of the study design primarily enhances?

<p>Internal validity, by reducing the influence of extraneous variables on the causal relationship. (A)</p> Signup and view all the answers

Which of the following scenarios best exemplifies a threat to external validity?

<p>A researcher's findings show an effect that cannot be generalized to other populations or settings. (B)</p> Signup and view all the answers

A university research ethics board discovered that a researcher enrolled participants in a clinical trial who were not representative of the broader population the treatment is ultimately intended for, because they only recruited from a local community center. What type of validity is most immediately threatened by this?

<p>External Validity (C)</p> Signup and view all the answers

Which activity is the best example of using primary data?

<p>Conducting an original survey to collect opinions on local environmental issues. (C)</p> Signup and view all the answers

A researcher reviews existing literature to understand current knowledge about gut microbiome diversity and its relationship to diet. They read research articles, meta-analyses, and systematic reviews on the subject, focusing on the methodologies and conclusions of each study. What type of review is being conducted?

<p>Literature Review (A)</p> Signup and view all the answers

Flashcards

Sampling Technique

Method of choosing a sample from a population.

Probability Sampling

Every member has an equal chance of selection.

Non-Probability Sampling

Selection based on specific criteria, not random chance.

Simple Random Sampling

Each individual has an equal chance of being chosen.

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Systematic Sampling

Selecting every nth individual from a list.

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Stratified Sampling

Dividing the population into subgroups and sampling from each.

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Cluster Sampling

Randomly selecting entire groups from the population.

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Convenience Sampling

Selecting participants who are easily accessible.

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Primary Data

Data collected first-hand by an investigator for the first time; usually more reliable.

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Secondary Data

Second-hand information obtained from already published or unpublished sources.

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Meta-Analysis

Combines data from multiple studies for a more precise estimate of an effect.

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Systematic Review

Identifying, evaluating, and summarizing all available research on a specific topic to answer a research question.

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Literature Review

Provides a general overview of research on a topic, including various sources with varying quality levels.

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External Data

Data collected from sources outside the organization/study/research project itself.

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Internal Data

Data collected from within the organization/study/research project itself.

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Sampling Bias

Occurs when some population members are systematically more likely to be selected in a sample than others.

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Research Design

The overall strategy to integrate study components logically.

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Research Question

A question the research aims to answer.

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Theories and Models (in research)

Frameworks which the research is based.

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Data Collection

Gathers info from participants or sources.

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Data Analysis

Analyzing data using statistical/analytical techniques.

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Reporting (Research)

The plan for sharing data analysis findings.

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Quantitative Research

Measures variables, tests hypotheses using numbers.

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Qualitative Research

Explores experiences and beliefs in-depth.

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Study Notes

  • How do we collect data?
  • The scientific method provides the basics to data collection
  • There are key elements when selecting a sampling technique
  • Research design and methodologies are important for appropriate study

Scientific Method

  • Starts with an observation followed by a question
  • Develop a hypothesis
  • Conduct an experiment to test the hypothesis
  • Data are analyzed, and conclusions are made

Sources of Statistical Data: Primary vs Secondary

  • Primary data is collected directly by the investigator
  • Secondary data is the data already collected for another purpose
  • Primary data methods include interviews, surveys, questionnaires, etc.
  • Secondary data methods include previous research, government reports, historical data etc.
  • Primary data is real-time, specific and expensive
  • Primary data offers a higher level of control
  • Secondary data is past data that may or may not meet the specific needs of a researcher

Meta-Analysis, Systematic, and Literature Review

  • Meta-analysis combines data from multiple studies for a precise estimate, it provides a quantitative data
  • Systematic reviews comprehensively identify, evaluate, and summarize available research
  • Literature review provides a general overview of research on a topic

Sources of Data: External vs Internal

  • External data is data collected from sources outside the organization
  • Internal data is collected from reports and records of that organization
  • External data includes web data e.g. e-commerce and real estate
  • Internal data includes user logins, messages, and emails

Sampling

  • It allows you to test a hypothesis about a population's characteristics
  • Sampling methods are based on the aims, objectives and research questions

Validity of Samples

  • "Internal validity" speaks to the causal relationship of the specific variables in a study
  • Confidence is being tested is trustworthy and free from influence
  • "External validity" refers to the extent the results of a study can be applied to generalized situations

Sampling bias

  • Sampling bias can occur when certain members are systematically more likely to be selected, as opposed to others, in a sample
  • Sampling bias limits the generalizability of the findings, so has a threat to "external validity"
  • "Oversampling" is an easy way to avoid sampling bias

Sampling Techniques

  • Sampling Techniques/Methods refers to how a sample is chosen from a population
  • Key decision points:
    • Research objectives
    • Population characteristics?
    • Accessibility of the population
    • Budget and time constraints

Probability and Non-Probability sampling

  • Probability sampling ensures every population member has a chance of being selected
  • Non-Probability sampling's selection isn't based on random chance

Probability Sampling

  • Simple Random Sampling gives each individual an equal chance of being chosen
  • Systematic Sampling selects every nth
  • Stratified Sampling divides population/subgroups and randomly selects from each
  • Cluster Sampling randomly selects clusters from the population and samples all individuals

Non-Probability Sampling

  • Convenience Sampling selects participants who are easily accessible
  • Purposive Sampling deliberately selects individuals w/ specific study-relevant characteristics
  • Snowball Sampling asks participants to refer other potentials
  • Quota Sampling selects a specific number of individuals from subgroups

Research/Study Design

  • Study design and different components make your coherent and logical strategy
  • Study designs have a few elements to use for research elements

Design Elements Include

  • Research question
  • Theories and models
  • Data collection
  • Data analysis
  • Reporting

Types of Research Design

  • Quantitative research measures types of variables and describes frequencies, averages, and correlations
  • It tests hypotheses about relationships between variables
  • More fixed and deductive, variables and hypotheses clearly defined in advance of data collection
  • Qualitative research seeks to understand experiences, beliefs, and concepts
  • Qualitative research gains in-depth knowledge of a context or culture
  • Qualitative research explores under-researched problems and offers new ideas
  • Qualitative research tends to be more flexible, allowing approach adjustments based on findings

Methods of Collecting Data Include

  • Identifying the problem
  • Allocation
  • Formulation
  • Analysis
  • Decision-making
  • Evaluation
  • Monitoring

Research includes

  • Survey
  • Observation and monitoring
  • Experimental
  • Use of existing studies

Primary Data Collection Methods

  • Case Studies
  • Oral Histories
  • Questionnaire
  • Documents and Records
  • Digsite
  • Interviews
  • Observations
  • Polls
  • Experiments
  • Focus Groups

Consider When Choosing Methods in Collecting Data

  • Research goals
  • Target audience
  • Type of data needed
  • Available resources
  • The nature of the research question
  • Sample size
  • Feasibility
  • Ethical implications
  • Level of detail required

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