WorksheetsQuiz on Research Methodology
Total questions: 223
Worksheet time: 11hrs 52mins
What is Evidence Based Management? Practitioner expertise and judgement, Evidence from local context, Critical evaluation of best research, and Perspectives of affected people by a decision
What are the steps in the process of business research? Literature review, concept and theories, research questions, sampling, data collection, data analysis, writing up
What is induction? Observing patterns and then developing a theory (qualitative)
What is deduction? Based on drawn conclusions assumed to be true > theory testing and hypothesis
Writing up in business research consists of the following steps: Introduction > literature review > research methods > results > discussion > conclusion
What is theory? A way of explaining observed patterns of associations between phenomena
What is a Middle-range theory? Middle-range theories are specific, limited in scope, and bridge the gap between abstract 'grand theories' and empirical findings.
What is a Grand theory? All inclusive systematic efforts to develop a conceptual scheme (very abstract)
What is Empirical data? Using empirical evidence gaining knowledge through observations or experience
What is the process of deduction? Theory, Hypothesis, Data collection, Findings, Hypothesis confirmed or rejected, Revision of theory
What is Iterative? Involves wearing back and forth between data and theory
What is Abductive? Logical inferences and build theories, based on pragmatist perspective, surprise and explanation afterwards
What are Hermeneutics? Study of interpretation
What is Ontology? Assumptions we make about what it means for something to exist
What is Objectivist Ontology? Objectivism asserts that social phenomena exist objectively, independent of human perception or interpretation.
What is Constructionist Ontology? Views social phenomena as 'made real' by human activities and the meanings attached to them.
Where is Post modernism about? Philosophical approach to think social sciences and how knowledge claims constructed through the language of science.
What is a Discourse analysis? Conduct research in the use of language in context with variety of social problems.
What are Epistemological considerations? Follows logically from ontology, crucially important, allows us to answer the question of how we should conduct research, it ensures us that the knowledge we produce is sound.
What is Positivism? Positivism is an epistemological position that advocates the application of the methods of the natural sciences to the study of social reality. Facts based
What is Interpretivism? Interpretivism is a contrasting epistemology to positivism. This approach is underpinned by a social constructionist ontology, which holds that reality is constituted by human action and meaning-making, rather than existing objectively and externally
What are Paradigms? 'A cluster of beliefs and dictates which for scientists in a particular discipline influence what should be studied, how research should be done, [and] how results should be interpreted'
What is Objectivist? There is an external viewpoint from which it is possible to view the organization, which is comprised of consistently real processes and structures;
What is Subjectivist? An organization is a socially constructed product, a label used by individuals to make sense of their experience.
What is Regulatory? To describe what goes on in organizations, possibly to suggest minor changes to improve them, but not to make any judgement;
What is Radical? To make judgements about the way that organizations ought to be and suggest how this can be achieved.
What is Functionalist? The dominant framework for the study of organizations, based on a problem-solving orientation which leads to rational explanation;
What is a Research design? A research design provides a framework for the collection and analysis of data?
What is important in a research design?
What is a research method? A research method is simply a technique for collecting data. It can involve a specific instrument, such as a self-completion questionnaire or a structured interview schedule.
What is Reliability? Reliability is concerned with the question of whether the results of a study are repeatable. Would you come to the same conclusion? Reliability is a particular concern in quantitative research.
What is Replicability? In order for replication to take place, a study must be capable of replication - it must be replicable. This is a very obvious point: if a researcher does not spell out their procedures in great detail, replication is impossible.
What is Validity? Validity is concerned with the integrity of conclusions that are generated from a piece of research.
What is Measurement validity? This type of validity applies primarily to quantitative research and the search for measures of social scientific concepts. Measurement validity is also often referred to as construct validity.
What is Internal validity? This type of validity relates mainly to the issue of causality. Internal validity is concerned with understanding whether a conclusion that incorporates a causal relationship between two or more variables holds
What are the threats to internal validity? Other events happen, People change, Non-random selection
What is external validity? This issue is concerned with the question of whether the results of a study can be generalized beyond the specific research context.
What are the threats to external validity? Can a lab experiment which is very controlled be generalized in the real world (which is less controlled)
What is Ecological validity? This criterion is concerned with the question of whether or not social scientific findings are applicable in everyday, naturally occurring social settings.
What is Variable? A variable is simply an attribute on which cases vary. If an attribute does not vary, it is a constant or way to measure a concept.
What is called the difference between treatment group and control group? Treatment effect.
What is normally high with experiments in general? Ecological validity
What does experiments lack in general? Replicability
What are the advantages of a lab experiment which is very controlled? Easier random assignment, high internal validity and replicability
What are the limitations of a lab experiment? Difficult to generalize the findings
What is a Field experiment? Real world, less controlled environment, sometimes not representative (general population)
What is Quasi experiment? Real world, regulation that becomes into a fact only applicable to certain firms.
What are the key characteristics of a Cross-sectional design? More than one case, At a single point in time, Quantitative or quantifiable data, Patterns of association. With a cross-sectional design it is possible to examine only relationships between variables.
What is the evaluation of a cross-sectional design?
What is concern about longitudinal? Attrition
Which variable corresponds to the presumed cause in experimental design? Independent variable
When comparing quasi experiments to real experiments, which validity is relatively weaker? Internal vs. external validity (internal is weaker)
Reliability is concerned with what? Consistency
When a researcher wants to develop a new measure and show that its contents reflect the concept in question, she needs to establish what type of validity? Face validity
Which of these is not one of the main preoccupations of quantitative researchers? Theory alignment
A researcher asks for marital status in their study. What type of variable is this? Nominal
Similar results are concerned with: Replicability
What is the purpose of a measure of central tendency? To identify the most representative score in a sample
What is a Longitudinal Design? Same survey of the same people on more than 1 occasion
What is a Panel study? Have observations every year
What is a Cohort study? Follow a specific group of people and ask them again in a few years.
What is the Evaluation of longitudinal design?
What is a Case Study Design? The basic case study entails the detailed and intensive analysis of a single case or company
What is the evaluation of a case study design? Biggest concern is external validity, impossible to generalize the findings
What is a Comparative Design? Using the same methods to compare two or more meaningfully contrasting cases
What are Concepts? Concepts are the building blocks of theory and represent the points around which business research is conducted. (abstract) (like efficiency as an example)
Why do we measure? Measurement allows us to delineate fine differences, consistent device and easier to have precise estimates
What are sensitizing concepts? Starting point, flexible
What are definitive concepts? Building blocks, rigid and well-defined
What are Indicators? Some social phenomena can be measured more or less directly. For example, we can directly measure such things as age, annual income, or organizational size
What are Measures? It is worth making two distinctions here. First, there is a distinction between an indicator and a measure. Measures, in other words, are quantities
What is Stability? This consideration asking whether a measure is stable over time
What is Internal reliability? The key issue here is whether or not the indicators that make up the scale or index for a concept are consistent among themselves
What is Inter-rater reliability? When a great deal of subjective judgement is involved in the recording of observations.
What is Validity? Validity assesses if a measure truly captures the concept, accuracy
What is face validity? measure apparently reflects the content of the concept in question.
What is Concurrent validity? where the measure's results are compared with a known criterion that relates to the concept. For instance, assessing job satisfaction by comparing it to absenteeism.
What is Predictive validity? whereby the researcher uses a future criterion measure, rather than a contemporary one as in the case of concurrent validity.
What is convergent validity? Measure concept through different methods such as observations and questionaires.
What are the main Criticisms of quantitative research? Failure to distinguish between the social and natural world, Disconnection from everyday life, and Static view of social life
What is Reverse operationalism? challenges the traditional deductive approach in quantitative research. Instead of defining concepts first and then creating measures, sometimes measurement itself leads to conceptualization.
What is a Factor analysis? Factor analysis is employed in relation to multiple-indicator measures to determine whether groups of indicators tend to bunch together to form distinct clusters, referred to as factors.
What are ratio scales? A ratio scale has a true zero point, ratios of scores on the scale must also make sense. A score of 16 on an anxiety scale means that the person is, in reality, twice as anxious as someone scoring 8.
What are interval scales? These scales too have equal intervals, but they do not have a true zero point, Values below zero can occur on an interval scale. (e.g. customer satisfaction, personality traits)
What are binary/Dummy variables? only two possible values, 1 or 0; or dead or alive
What are Nominal variables? can range over any number of non-negative integers
What are Ordinal variables? order of relationship (first,second,third)
What is Variance? is an average error between the mean and the observations that were made.
What is standard deviation? Square root of the variance is known as the standard deviation
What diagram do we use for nominal/ordinal variables? Bar chart or pie chart
What diagram do we use for interval/ratio variables? Histogram
A lack of symmetry is called? Skewness
A lack of pointyness is called? Kurtosis
What is the Mode? score in the distribution that occurs with the greatest frequency.
What is the Median? middle score when scores are ranked in order of magnitude
What is the Mean? only for metric variables (there is no mean when you look at green/red). Is the average.
What is Bivariate analysis? Analysis of two variables at one time, Cannot establish causality
What is Covariance? it tells is by how much scores on two variables differ from their respective means.
What is Multivariate analysis? Analysis of Three or more variables (third variable might be intervening)
Why perform a regression analysis? Predict the value of one variable (dependent, e.g., test scores) using another (independent, e.g., study hours).
For what analysis is regression used? Regression is mainly for surveys and secondary data.
What is the Intercept? Where it starts (if you don't study and only come to the tutorials and lectures, you may get 50% on your exam)
What is the Slope? how to improve it (if you study f.e. 2hours per week extra, you may get 80% on your exam)
What is The best-fitting line is the regression line? representing the prediction equation with the smallest amount of prediction error or deviation from the regression line.
What is Primary data? Data we collect ourselves, with a specific purpose of addressing the research question we are interested in.
What is Secondary data? Collected by others for other purposes.
What are the advantages of secondary data? Saves money and time, Offer high-quality data, Gives opportunity for longitudinal analysis, Allows subgroups analysis (cross-sectional)
What are the limitations of secondary data? Data can be very large and complex, The quality of data should never be taken for granted, There can be errors in the data, Variables important to your analysis might be missing
You would be committing ecological fallacies if you? Assume you can make inferences from findings relating to aggregate data
When 2 lines on a graph, representing an interaction between 2 variables, cross, we are talking about: a disordinal interaction
A researcher finds that the effect of the IV on the DV is entirely transmitted trough the mediator, this is full mediation.
What is the primary purpose of mediation analysis in business research? To understand the underlying mechanism or process by which one variable influences another.
The combined effect of 2 variables on another conceptually is know as……moderation……and statistically as…an interaction…..
If we want to visualize a relationship between a continuous DV and a continuous IV. Which graph should we use? Scatter plot
Which of these is not a limitation of secondary analysis? Cross-cultural analysis
What is archival proxy? Data that can be used to represent a underlying theoretical construct
ANOVAs are typically used to test data obtained from: experiments
ANOVA have to do something called variance partitioning. This is when the total variance in the DV is split into: between and within group variance
What is problem with Internal validity in secondary analysis? only associations, no casual relations, control for cofounding factors
What is a problem with reliability in secondary analysis? definitions, categories and allocated resources may change over time > difficult to repeat over time.
What is a Meta-analysis? involves summarizing the results of a large number of quantitative studies, The aim of this approach is to establish whether or not a particular variable has a certain effect by comparing the results of different studies.
What are Unobtrusive measures? An unobtrusive measure is any method of observation that directly removes the observer form the set of interactions or events being studied.
What are inferential statistics? Drawing conclusions about large populations (population parameters) to see if sample observations are meaningful
What is Sampling error? limits a researcher's ability to draw conclusions about the generalizability of the findings from a sample to the population. The more sampling error there is, the less confident one can be that findings are generalizable to the population.
What is Significance testing? offers a standardized comparison of a sample mean to the standard error of the mean.
What is a Central Limit Theory? when sample size is 30, or above 30, we assume that there is a normal distribution.
The lower the alpha and higher the confidence? the smaller power will be.
The larger the effect size? the more different from a mean of zero it is going to be, and the more unlikely it could have been found in a sample drawn from the null distribution.
Increasing sample size? increases power and lowers the p-value of an estimate. This is because sampling error in larger samples is smaller than in smaller samples.
Type 1 error is? When you reject H0, when H0 is true
Type 2 error is? When you do not reject H0, when H1 is true
low p-value, you cannot say that it is a strong effect, just statistically significant
intercept is where regression line crosses y-axis (y-axis is on the left side)
a 5% alpha value to 5%, how likely are you to commit a type 1 error? 5%
for homoscedasticity to be assumed what needs to be met? Residuals have to have similar deviation from predicted values
If we have more than 1 fixed effect in a regression model, which value will be different than if we had only 1 fixed effect in a model? Adjusted R squared
If we say that the null hypothesis implies the beta value in a regression will be 0, what does that mean? That mean Y will not change as a result of X (beta value is slope)
In a simple linear regression model, where we regress hours practiced for a test, on test results, what does the estimate b1 represent? Estimated change in results per unit change in hour practice.
A researcher concluded that there is no effect when in fact there're is one, what type of error is this? Type 11
What in fact do we mean when we say'' statistically significant? That an effect is surprising assuming that there us no effect in reality.
What is absence of collinearity?
What is Homoscedasticity?
What is normality of residuals?
What is absence of influential data points?
What is Independence?
What is Confounder?
What is mediation?
What is moderation?
What is an interaction effect?
An F-test is always?
What are the 3 sources of bias?
What is Simple Random Sample?
What is systematic random sample?
What is stratified random sampling?
What is multi-stage cluster sampling?
What are Things to keep in mind with sampling?
What is Convenience sampling?
What is limitation of convenience sampling?
What is Quota sampling?
What is the advantage of quota sampling?
What is limitation of quota sampling?
What assumptions should be fulfilled with ANOVA?
One-Way ANOVA is?
Two-Way ANOVA is?
Mixed-ANOVA is?
What is ANOVA?
Technique used to compare means of two or more groups
A method for analyzing variance
A statistical test for correlation
In what way ANOVA is similar to regression analysis?
Both try to understand variance in the data that comes from different sources
Both are used for hypothesis testing
Both require normally distributed data
A study has three treatment groups, select the statement that is true:
this is a one-way design
this is a two-way design
this is a mixed design
You run a One-Way ANOVA comparing three groups, the results show that the F value= 0,13. What is the likely p-value?
Larger than .05. The lower the F value, the larger the P value
Smaller than .05
Equal to .05
Select the correct response for A significant overall (or omnibus) effect of an ANOVA indicates:
At least one group differs significantly from the other groups and from zero.
All groups are equal.
There is no significant difference.
The percentage of a sample that agree to participate in a study is known as:
Response rate
Participation rate
Engagement rate
In a study, a researcher want to interview 100 employees from a large company. To ensure a representative sample, she decides to randomly select 10 employees from each company department. What sampling method is being used?
Stratified sampling
Simple random sampling
Convenience sampling
We can talk about sampling bias when:
What is probability sampling?
What is so convenient about convenience sampling?
External reliability in qualitative research is?
Internal reliability in qualitative research is?
External validity in qualitative research is?
Internal validity in qualitative research is?
Credibility is about?
Transferability is about?
Dependability is about?
Confirmability is about?
What is Respondent validation?
What is triangulation?
What is the critique of qualitative research?
What are the preoccupations of qualitative research?
Quantitative research is?
Qualitative research is?
Purposive sampling is?
Generic purposive sampling is?
Theoretical sampling is?
What is snowball sampling?
What is limitation of snowball sampling?
What is theoretical/conceptual saturation?
Unstructured interviews are?
Semi structured interviews are?
What are the advantages of qualitative interviews?
What are the limitations of qualitative interviews?
Flexibility and limited structure of qualitative research designs is an advantage because:
Which of the following is NOT a component of the criterion trustworthiness:
Respondent validation is the process by:
Which of the following is not a type of qualitative interviews?
Why is it helpful to prepare an interview guide before conducting semi-structured interviews?
What is a probing question?
A sensitizing concept is one that:
Which of the following is not a criticism of qualitative research?
Which problem is often associated with qualitative research?
What is the aim of thematic analysis?
What is content analysis in quantitative research?
What is content analysis in qualitative research?
What types of qualitative research are there?
What types of harm are there is business ethics?
Anonymization is easier in?
What is deception?
What is the grounded theory?
What is open coding?
What is axial coding?
What is selective coding?
What is a memo?
What is criticism of grounded theory?
What is the advantage of grounded theory?
What is the difference between thematic analysis and grounded theory?
