Podcast
Questions and Answers
Which of the following indicates time horizon in research method:
Which of the following indicates time horizon in research method:
The following is true about dichotomous scale:
The following is true about dichotomous scale:
Axial coding is an important part of quantitative research
Axial coding is an important part of quantitative research
Causal research involves :
Causal research involves :
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The research effort is positioned relative to existing knowledge and builds on this knowledge
The research effort is positioned relative to existing knowledge and builds on this knowledge
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Causal research requires :
Causal research requires :
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Technology acceptance model (TAM) theory explains factors associated with the adoption of different kinds of technology in wide range of settings
Technology acceptance model (TAM) theory explains factors associated with the adoption of different kinds of technology in wide range of settings
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While doing qualitative data collection ___________ helps to decide when you can stop interviewing more people:
While doing qualitative data collection ___________ helps to decide when you can stop interviewing more people:
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Technology acceptance model (TAM) theory explains factors associated with the adoption of different kinds of technology in wide range of settings
Technology acceptance model (TAM) theory explains factors associated with the adoption of different kinds of technology in wide range of settings
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_______comes before the open coding in qualitative research:
_______comes before the open coding in qualitative research:
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Which of the following is NOT a step in the research process:
Which of the following is NOT a step in the research process:
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Participant voice means reporting participant ́s quotes in verbatim while presenting results
Participant voice means reporting participant ́s quotes in verbatim while presenting results
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Different types of variables are:
Different types of variables are:
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Delphi method involves experts and a facilitator
Delphi method involves experts and a facilitator
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In a mixed method study:
In a mixed method study:
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____________is designed to study participants ́ attributed meanings:
____________is designed to study participants ́ attributed meanings:
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Grounded theory do not pose any conditions/assumptions while analysing the qualitative data
Grounded theory do not pose any conditions/assumptions while analysing the qualitative data
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Internal consistency of measures implies:
Internal consistency of measures implies:
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What is it? Values can differ at the same time for different respondents
What is it? Values can differ at the same time for different respondents
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Company ́s Internal database is a kind of secondary data
Company ́s Internal database is a kind of secondary data
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Data collected through cross-sectional survey is:
Data collected through cross-sectional survey is:
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Data structure is prepared when using:
Data structure is prepared when using:
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Causal research is
Causal research is
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Most important step in business research is to "solve it by taking the necessary corrective measures"
Most important step in business research is to "solve it by taking the necessary corrective measures"
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Social Science research is based on hunches, experience, and intuition
Social Science research is based on hunches, experience, and intuition
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The data collected from field studies (including ethnographies) is primary data
The data collected from field studies (including ethnographies) is primary data
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"Slow response to the apple watch" case requires application of technology acceptance theories
"Slow response to the apple watch" case requires application of technology acceptance theories
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Literature review is not required in case of inductive research
Literature review is not required in case of inductive research
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____________are important in qualitative research:
____________are important in qualitative research:
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Mediating variable:
Mediating variable:
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When using grounded theory:
When using grounded theory:
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Observation and experiments are form of secondary data
Observation and experiments are form of secondary data
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ME-112. Group assignment had :
ME-112. Group assignment had :
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Qualitative research can be structured or unstructured
Qualitative research can be structured or unstructured
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Disadvantages of observations:
Disadvantages of observations:
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Which of the following statements is false:
Which of the following statements is false:
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Quantitative survey is designed to:
Quantitative survey is designed to:
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Open-ended essays are:
Open-ended essays are:
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Codes in qualitative research can be :
Codes in qualitative research can be :
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Qualitative research is mostly deductive in nature
Qualitative research is mostly deductive in nature
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False response by the participants is a part of researcher error. Is this statement correct?
False response by the participants is a part of researcher error. Is this statement correct?
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Qualitative research has high degree of objectivity as compared to quantitative data analysis
Qualitative research has high degree of objectivity as compared to quantitative data analysis
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The validity of the hypothesized relationships can be examined using regression analyses
The validity of the hypothesized relationships can be examined using regression analyses
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Age is "ordinal" and different types of colors is a "nominal" variable
Age is "ordinal" and different types of colors is a "nominal" variable
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Age is "ordinal" and different types of colors is a "nominal" variable
Age is "ordinal" and different types of colors is a "nominal" variable
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Aggregate dimensions/themes are derived from axial codes
Aggregate dimensions/themes are derived from axial codes
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According to APA, we always write percentage (frequency) for study variables in the descriptive statistics on demographics
According to APA, we always write percentage (frequency) for study variables in the descriptive statistics on demographics
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Exploratory research is suitable for topics where we have limited prior studies
Exploratory research is suitable for topics where we have limited prior studies
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The beta value in the regression analysis examines if a given hypothesis is significant or not
The beta value in the regression analysis examines if a given hypothesis is significant or not
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Scientific research is about stating findings with accuracy and confidence
Scientific research is about stating findings with accuracy and confidence
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In social science research, research hypotheses are just propositions
In social science research, research hypotheses are just propositions
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Axial coding can only be carried once the open coding is complete for all the questions
Axial coding can only be carried once the open coding is complete for all the questions
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Consumer surveys and Internal databases represent the same type of data i.e., primary data
Consumer surveys and Internal databases represent the same type of data i.e., primary data
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Social desirability bias in a problem in qualitative data collection methods
Social desirability bias in a problem in qualitative data collection methods
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Research objectives mostly start with what, why and how
Research objectives mostly start with what, why and how
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A theory often depicts a set of variables and their associated relationships
A theory often depicts a set of variables and their associated relationships
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Feasibility of the research problem implies that you are able to execute the research with the given resources
Feasibility of the research problem implies that you are able to execute the research with the given resources
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Subjectivity bias in inductive research can be addressed by conducting a deductive research
Subjectivity bias in inductive research can be addressed by conducting a deductive research
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The consumer reviews given on booking.com or tripadvisor or similar platforms are an example of quantitative data
The consumer reviews given on booking.com or tripadvisor or similar platforms are an example of quantitative data
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Transparency is more important than traceability in qualitative research
Transparency is more important than traceability in qualitative research
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Verbatim(s) are included while presenting the qualitative data results for traceability
Verbatim(s) are included while presenting the qualitative data results for traceability
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p-value in regression analysis helps to decide if the tested association is strong or weak
p-value in regression analysis helps to decide if the tested association is strong or weak
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Internal reliability examines if respondents have interpreted the different measurement items of a given measure/construct in a same way (consistency)
Internal reliability examines if respondents have interpreted the different measurement items of a given measure/construct in a same way (consistency)
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In SPSS outputs, sig and p-values are the same
In SPSS outputs, sig and p-values are the same
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Measures and latent variables are basically the same
Measures and latent variables are basically the same
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Normality examines if the data is normally distributed or not
Normality examines if the data is normally distributed or not
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Multicollinearity is tested if the regression analysis has one dependent and one independent variable
Multicollinearity is tested if the regression analysis has one dependent and one independent variable
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In SPSS, Box plot and Z-score values are examined to test if there are any outliers in a given study construct/measure
In SPSS, Box plot and Z-score values are examined to test if there are any outliers in a given study construct/measure
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Study measure and measurement item are basically the same
Study measure and measurement item are basically the same
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Multicollinearity is tested by examining the variance inflation factor values
Multicollinearity is tested by examining the variance inflation factor values
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R2 or R-square refers to the percentage variance explained in dependent variable by one or more independent variable (s)
R2 or R-square refers to the percentage variance explained in dependent variable by one or more independent variable (s)
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Normality is tested for the different measurement items of the cross-sectional data
Normality is tested for the different measurement items of the cross-sectional data
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Study Notes
Research Methods and Concepts
- Time horizon in research indicates the duration and timing of data collection and analysis.
- A dichotomous scale consists of two possible responses, such as "yes" or "no."
- Causal research identifies the cause-and-effect relationships between variables.
- Research efforts build upon existing knowledge to expand or challenge established theories.
- Causal research necessitates precise definitions of variables and systematic methodologies.
- The Technology Acceptance Model (TAM) outlines variables that influence technology adoption across various contexts.
- Qualitative data collection relies on thematic saturation to determine when to stop interviewing.
- Closed coding precedes open coding in qualitative research, organizing data before thematic exploration.
- Certain methods, such as surveys or experiments, may not be recognized as steps in the broader research process.
- Participant voice emphasizes verbatim quotations to capture authentic responses in qualitative findings.
- Variables can be categorized as independent, dependent, mediating, or moderating based on their roles in research.
- The Delphi method employs a panel of experts and a facilitator to reach consensus on specific topics.
- Mixed-method studies integrate qualitative and quantitative approaches for a comprehensive analysis.
- Grounded theory analyzes qualitative data without preconceived assumptions, allowing themes to emerge organically.
- Internal consistency ensures that measurement scales yield reliable and stable results across items.
- Responses can vary across respondents, showcasing individual differences in perceptions and experiences.
- Internal databases qualify as secondary data, providing previously collected information for analysis.
- Cross-sectional surveys capture data at a single point in time, offering snapshots rather than longitudinal insights.
- Data structure is organized prior to analysis, facilitating efficient examination of the results.
- Causal research is a systematic study to confirm hypotheses about relationships between variables.
- The most critical step in business research is solving identified problems effectively.
- Social science research combines intuition, experience, and theoretical frameworks for exploration.
- Field studies, including ethnographies, yield primary data through direct observation and interaction.
- The slow market response to a product can be assessed using technology acceptance theories.
- Inductive research may not necessitate a literature review, focusing instead on deriving insights from data.
- Techniques such as coding are essential for analyzing qualitative data efficiently.
- Mediating variables explain the relationship between independent and dependent variables.
- Grounded theory relies on continuous data gathering until saturation is achieved.
- Secondary data includes information collected from previous studies or external databases.
- Qualitative research may take structured or unstructured forms depending on the research design.
- Observational methods can be limited by subjectivity and the influence of the researcher’s presence.
- Quantitative surveys are structured instruments designed to collect numerical data for statistical analysis.
- Open-ended essays allow for expansive responses and nuanced insights.
- Codes in qualitative research serve as tags or labels for identifying themes and patterns in data.
- Qualitative research tends to adopt a deductive approach, testing established theories against data.
- False responses may contribute to researcher error, affecting the study's validity.
- Qualitative analysis often exhibits a higher degree of subjectivity compared to quantitative methods.
- Regression analysis can help validate hypothetical relationships through statistical testing.
- Age is categorized as an ordinal variable, while different colors fall under nominal variables.
- Axial coding synthesizes open codes into broader themes and insights.
- According to APA guidelines, descriptive statistics for demographics should report percentage frequencies.
- Exploratory research is apt for investigations with limited prior studies or understanding.
- The beta value in regression indicates the significance of hypotheses regarding relationships between variables.
- Scientific research prioritizes accuracy and confidence in presenting findings.
- Research hypotheses in social sciences are typically propositions awaiting validation.
- Axial coding follows open coding, refining the themes identified in earlier analysis stages.
- Consumer surveys and internal databases represent primary data collection approaches.
- Social desirability bias can distort qualitative findings through influenced responses.
- Research objectives commonly start with "what," "how," or "why" to frame inquiry.
- A theory consists of variables and their proposed interrelationships.
- Research feasibility assesses whether a study can be executed effectively with available resources.
- Inductive research can mitigate subjectivity bias by contrasting findings with deductive approaches.
- Consumer reviews on platforms like Booking.com exemplify qualitative data reflecting user experiences.
- Transparency holds greater value than traceability in qualitative research methodologies.
- Verbatim quoting is crucial for validating qualitative data results and ensuring authenticity.
- In regression analysis, p-values reveal the strength and significance of tested associations.
- Internal reliability assesses if respondents interpret measurement items consistently.
- In SPSS outputs, significance (sig) and p-values convey similar information.
- Measures refer to observable phenomena, while latent variables represent underlying constructs.
- Normality tests evaluate if data conforms to a normal distribution pattern.
- Multicollinearity examines relationships between independent variables, particularly in regression contexts.
- SPSS utilizes Box plots and Z-scores to detect outliers in dataset constructs or measures.
- Measurement items and study measures are synonymous in research terminology.
- Variance inflation factor analysis identifies multicollinearity issues, which could distort regression analysis.
- R-squared (R2) indicates the proportion of variance in the dependent variable explained by independent variables.
- Normality tests are essential for assessing different measurement items within cross-sectional datasets.
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Test your knowledge on how to indicate time horizon in research methods with this quiz. Select the correct option that best represents the time frame for a research study.