Research Methods in Sampling
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Questions and Answers

Which observation method is best suited for collecting quantitative data?

  • Sketching/Field notes
  • Interview
  • Mapping
  • Questionnaire survey (correct)

Mapping is a time-consuming observation method.

True (A)

What is the main disadvantage of subjective sampling methods?

They increase the chance of sampling bias.

A well-designed ________ can provide representative data for a population.

<p>questionnaire</p> Signup and view all the answers

Match each observation method with its primary advantage:

<p>Sketching/Field notes = Provides detailed qualitative insights Questionnaire survey = Time efficient and cost-effective Mapping = Visual representation of data Interview = In-depth understanding of participant perspectives</p> Signup and view all the answers

What is a primary advantage of using probabilistic sampling methods?

<p>It eliminates human bias. (B)</p> Signup and view all the answers

Stratified sampling involves randomly choosing samples from sub-groups of a population.

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

What is the aim of the study mentioned in the content?

<p>Human impact on wind speed in a woodland</p> Signup and view all the answers

Systematic sampling involves selecting sample units at regular _____ .

<p>intervals</p> Signup and view all the answers

Match the sampling method with its description:

<p>Probabilistic Sampling = Sampling method with no human bias Systematic Sampling = Selecting samples at regular intervals Stratified Sampling = Dividing a population into sub-groups Hypothesis = Claim made regarding population characteristics</p> Signup and view all the answers

One of the disadvantages of systematic sampling is that it can lead to errors with ordered data.

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

What are the first two steps in the procedure for systematic sampling?

<p>Deciding on the population, Deciding on the sample size from the population</p> Signup and view all the answers

A disadvantage of probabilistic sampling methods is that it may not cover all _____ of the population.

<p>sub-groups</p> Signup and view all the answers

What is a primary advantage of counting in terms of time?

<p>Time-eSicient (B)</p> Signup and view all the answers

Both counting and observation methods can be complex and difficult.

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

What characterizes subjective sampling methods?

<p>They increase the chance of sampling bias.</p> Signup and view all the answers

The ease of _____ is often categorized as easy or simple.

<p>counting</p> Signup and view all the answers

Which of the following is NOT a disadvantage of counting?

<p>Not cost-eSicient (C)</p> Signup and view all the answers

Match the following aspects of observation with their definitions:

<p>Time = Time-eSicient Cost = Not cost-eSicient Degree of Ease = Complex / DiSiciult Representative = Fail to represent the population</p> Signup and view all the answers

_____ coverage methods minimize sampling bias.

<p>Objective / Fair</p> Signup and view all the answers

Insufficient coverage in counting can lead to biased results.

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

What is a common advantage of conducting interviews?

<p>They can be time-efficient (B)</p> Signup and view all the answers

Secondary data cannot be considered objective or fair.

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

List two methods used to collect primary data.

<p>Measurement, Questionnaire survey</p> Signup and view all the answers

Interviews can fail to represent the population due to __________ sampling bias.

<p>subjective</p> Signup and view all the answers

Match the following types of data collection with their descriptions:

<p>Measurement = Using instruments to quantify variables Observation = Noting phenomena as they occur Questionnaire survey = Collecting data via structured questions Interviews = Gathering data through dialogue</p> Signup and view all the answers

Which of the following is considered a disadvantage of interviews?

<p>They can be time-consuming (C)</p> Signup and view all the answers

Primary data is always the most reliable form of data.

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

Name a type of secondary data that can be used for research.

<p>Research paper</p> Signup and view all the answers

Which of the following is a suggested improvement for qualitative data collection?

<p>Dividing students into groups for data collection (A)</p> Signup and view all the answers

Using a questionnaire survey is the best method to achieve in-depth data collection.

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

What should be used alongside quantitative data to enhance data collection validity?

<p>Qualitative data</p> Signup and view all the answers

To improve existing data collection methods, researchers can choose another data collection method, use an additional data collection method to aid the existing one, or ________ the existing data collection method.

<p>improve</p> Signup and view all the answers

Match the following data collection methods with their descriptions:

<p>Interview = In-depth discussions for qualitative data Observation = Watching and recording behavior Questionnaire = Structured set of questions for collecting data Mapping = Visual representation of data</p> Signup and view all the answers

What is a disadvantage of qualitative data collection?

<p>It is difficult to perform statistical analysis. (C)</p> Signup and view all the answers

Using secondary data can aid in enhancing the validity of primary data.

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

What method can help reach consensus among students when there is disagreement?

<p>Group discussions or meetings</p> Signup and view all the answers

Which observation method is often used for qualitative data collection?

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

Quantitative data can be effectively collected using unstructured interviews.

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

What is a primary characteristic of mapping observation methods?

<p>It visually represents data in a spatial format.</p> Signup and view all the answers

A well-structured ________ provides quantitative data that is statistically valid.

<p>survey</p> Signup and view all the answers

Match each observation method with its primary characteristic:

<p>Surveys = Structured data collection Field observations = Real-time data collection Interviews = In-depth understanding of perspectives Mapping = Spatial representation of data</p> Signup and view all the answers

What is a key disadvantage of many subjective sampling methods?

<p>They can introduce bias. (B)</p> Signup and view all the answers

Mapping is an efficient observation method that can be completed quickly.

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

Name one advantage of using surveys as an observation method.

<p>They can collect data from a large number of respondents quickly.</p> Signup and view all the answers

Field observations are particularly useful for studying ________ phenomena.

<p>natural</p> Signup and view all the answers

Which method is most beneficial for gathering detailed qualitative insights?

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

Flashcards

Measurement

A method for collecting data that focuses on measuring observable characteristics of a subject or environment.

Observation

A method for collecting data that involves observing and recording behaviors, events, or interactions in a natural setting.

Questionnaire Survey

A method for collecting data that involves asking a set of standardized questions to a sample of individuals.

Interview

A method for collecting data that involves engaging in a structured conversation with individuals to gain insights and perspectives.

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Assessment Form/Scoring

A structured framework for collecting data, typically used in observation or assessment.

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Simple random sampling

A sampling method where each member of the population has an equal chance of being selected.

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Systematic sampling

A sampling method where the sample units are selected at regular intervals from the population.

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Stratified Sampling

A sampling method where the population is divided into subgroups based on certain characteristics, and then a sample is randomly selected from each subgroup.

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Cluster sampling

A sampling method where the population is divided into clusters, and then a random sample of clusters is selected. All units within the selected clusters are included in the sample.

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Convenience sampling

A sampling method where the researcher selects participants based on their availability and convenience.

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Snowball sampling

A sampling method where the researcher asks participants to recommend other people to participate in the study.

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Typical Case sampling

A sampling method where the researcher selects participants who are considered to be typical or representative of the population.

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Extreme or Deviant Case sampling

A sampling method where the researcher selects participants who are considered to be extreme or unusual.

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Primary data

Primary data is information collected directly from the source through activities like observation, measurement, questioning, or recording.

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Secondary data

Secondary data is information collected from existing sources such as published reports, official documents, or scholarly journals.

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Counting

Counting involves gathering data by simply counting the number of occurrences of a specific event, item, or characteristic.

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Sketching/field notes

Sketching or field notes are visual representations or written descriptions made during observation to capture details and provide a record of findings.

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Mapping

Mapping is a visual representation of a specific area, location, or phenomenon using spatial data. It helps to show relationships and patterns.

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Counting: Time

When using counting, the time it takes to collect the data is relatively short and efficient.

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Counting: Cost

Counting is typically cost-effective because it doesn't require specialized equipment or complex procedures.

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Counting: Ease

Counting is very easy and straightforward. It involves directly observing and counting individual items.

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Counting: Representative

When done properly, counting can accurately represent a population, providing a snapshot of the characteristics being counted.

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Counting: Bias

Counting can be biased if it's not done systematically, potentially leading to an inaccurate representation of the population.

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Counting: Coverage

Counting can provide broad coverage of the population. However, it might not be possible to count every single item, especially in large populations.

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Observation: Time

Observation can be efficient in terms of time, especially when it involves natural occurrences or readily accessible data.

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Observation: Cost

Observation can be cost-effective as it doesn't usually require expensive equipment or procedures.

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Observation: Ease

Basic observation is quite simple and doesn't require complex procedures. However, some forms of observation can be complex.

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Observation: Representative

Observation can provide representative data if it's conducted systematically and in the right environment. However, biases can creep in if the observer is not impartial.

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Observation: Coverage

Observation can have good coverage if the observed area or group is easily accessible. But, it may be difficult to observe every single instance or individual.

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Choosing another data collection method

When existing data methods are insufficient, the researcher needs to find a new way to collect data to better achieve the study's goal. Example: switching from a questionnaire to an interview for deeper insights.

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Using an additional data collection method

This involves adding another method to collect data alongside the existing one. Think of it as providing extra support. Example: combining qualitative interviews to gain more depth in addition to quantitative data.

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Improving the existing data collection method

If the existing data collection method has flaws, think about ways to refine it. This could mean tweaking the process, using improved techniques, or finding ways to address its weaknesses. Example: Implementing strategies to reduce bias and improve the objectivity of qualitative data analysis.

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Qualitative Data

Data collected from interviews is primarily qualitative, focusing on the 'why' and 'how' behind experiences and perspectives.

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Quantitative Data

Quantitative data, often collected through questionnaires, surveys, or measurements, focuses on numbers and statistical analysis.

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Validity of Research

This approach attempts to ensure that the data collected accurately measures the intended variable, minimizing any potential bias or errors.

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Study Notes

2025 DSE Geography Fieldwork-Based Questions (FBQs)

  • Topics include Changing Industrial Location, Disappearing Green Canopy, and Climatic Change.
  • The fieldwork process has four key stages: planning and preparation, data collection, data processing and presentation, and conclusion.

Step 1: Planning and Preparation

  • Factors to consider for trip planning include season, day, time, weather, accessibility, and safety.
  • Necessary data: relevant previous fieldwork data, potential high risks, advantages/ disadvantages of the chosen seasons/ dates/ times.

Step 2: Data Collection

  • Key elements of data collection include six probabilistic and eight non-probabilistic sampling methods.
  • Examples of sampling methods (probabilistic): random sampling, systematic sampling, stratified sampling.
  • Examples of sampling methods (non-probabilistic): convenience sampling, quota sampling, purposive sampling.
  • Use of primary data (data collected directly by the students during fieldwork) and secondary data (data collected from other sources).

Step 3: Data Processing and Presentation

  • Data Processing: Categorization, combination, counting, calculation, GIS
  • Data Presentation: 7 graph types (line graph, bar graph,, histogram, pie graph, triangular graph, scattergram, radar chart), correlation, types of thematic maps.

Step 4: Conclusion

  • Summarize findings from data processing and interpretation.
  • Draw conclusions based on the analysis.
  • Extreme values should be checked and/or corrected as they can influence results and conclusions.

Additional Details

  • Fieldwork topics often involve investigating the relationship between two variables (e.g., light intensity and undergrowth coverage, river discharge and course).
  • Correct methodology: Using correct sampling techniques and data collection methods to ensure the validity and reliability of results.
  • Practical considerations: Fieldwork schedules and locations should be appropriately selected and factors like time, weather conditions, human interference, and the reliability of instruments should be taken into consideration to ensure the data is reliable and valid.
  • Data interpretation: Conclusions should be evidence-based and supported by data and graphs.

Geographical Investigations

  • Geographical investigations often focus on specific locations (e.g., a section of a river).
  • Students must justify the site selection for a chosen area, including its appropriateness for a geographical investigation.

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Description

This quiz covers various observation methods and sampling techniques used in research. Test your knowledge on quantitative data collection, advantages and disadvantages of different sampling methods, and the procedures involved. Perfect for students studying research methodology or statistics.

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