Pedagogy Part 9
Total Questions: 49
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A ) Only results
B ) Research design/procedure ✅
C ) Literature gaps
D ) Theoretical assumption
A ) Participant bias only
B ) Both participant and researcher bias ✅
C ) Instrument validity
D ) Sampling error
A ) No relationships
B ) Strong inverse relationship ✅
C ) Weak positive relationship
D ) Perfect correlation
A ) Conducted by outsiders
B ) Practitioner led ✅
C ) Only theoritical
D ) Laboratory based
A ) Researchers
B ) Human participants ✅
C ) Equipment
D ) Funding agencies
A ) Allowing free responses
B ) Using predetermine questions ✅
C ) Avoiding note taking
D ) Excluding probes
A ) No numerical values
B ) Equal intervals but no true zero ✅
C ) Categories only
D ) Rank ordering
A ) Smaller sample
B ) Increased sample size ✅
C ) Ignoring variability
D ) Purposive sampling
A ) Dependent variable
B ) Random assessment ✅
C ) Data collection
D ) Analysis method
A ) Only qualitative studies
B ) Results from multiple studies ✅
C ) Research instruments
D ) Hypothesis type
A ) Accept a true null hypothesis
B ) reject a true null hypothesis ✅
C ) Ignore effect size
D ) Use small samples
A ) Measured outcome
B ) Manipulated factor ✅
C ) Constant factor
D ) Extraneous variable
A ) Statistical analysis
B ) Cultural context ✅
C ) Historical documents
D ) Laboratory setting
A ) Using One data source
B ) Combining multiple methods ✅
C ) Ignoring discrepancies
D ) Simplifying analysis
A ) Are paid adequately
B ) Understand study risks/benefits ✅
C ) Receive preferred results
D ) Avoid all risks
A ) Comparing means
B ) Categorical data analysis ✅
C ) Measuring correlations
D ) Predicting outcomes
A ) Over multiple time periods
B ) Main to single point in time ✅
C ) Only for historical record
D ) Through laboratory experiment
A ) Quantitative analysis
B ) Gathering in depth qualitative responses ✅
C ) Limiting participant answers
D ) Standardized testing
A ) As equal intervals between values
B ) Ranks data without equal intervals ✅
C ) has a true zero point point
D ) Only uses nominal categories
A ) Large populations
B ) Hard to reach populations ✅
C ) Random samples
D ) Laboratory subjects
A ) Sharing all data publicly
B ) Protecting participants identities ✅
C ) Avoiding informed consent
D ) Ignoring data security
A ) Being less structured
B ) Using explicit reproducible methods ✅
C ) Excluding electronics course
D ) Avoiding Research question
A ) Effect size magnitude
B ) Probability of results under null hypothesis ✅
C ) Practical significance
D ) Sample representativeness
A ) Statistical reliability
B ) Appearance of measuring what it claims ✅
C ) Practical significance
D ) Sample representativeness
A ) Flat peaks
B ) Symmetry around the mean ✅
C ) Multiple outliers
D ) Unequal tails
A ) Detailed methodology
B ) Brief summary of key finding ✅
C ) Full literature review
D ) Raw data tables
A ) Generalizebility of results
B ) Accuracy of casual inference ✅
C ) Simple size adequacy
D ) Measurement position
A ) Testing pre-existing theories
B ) Developing theories from data ✅
C ) Using only quantitative data
D ) Ignoring field notes
A ) Replace hypothesis
B ) Make variable measureable ✅
C ) Limit literature review
D ) Research questions
A ) Selecting individuals randomly
B ) Using expert judgement
C ) Dividing population into groups then sampling groups ✅
D ) Choosing only volunteers
A ) Being completely unstructured
B ) Using predefined categories ✅
C ) Avoiding any recording
D ) Excluding field notes
A ) Central tendency
B ) Data dispersion ✅
C ) Percentage values
D ) Correlation strength
A ) Different groups at one time
B ) Same subjects over time ✅
C ) Only historical data
D ) Laboratory condition
A ) Is easy to administer
B ) Measures theoretical concepts ✅
C ) Has many items
D ) Using simple language
A ) Large sample generalization
B ) In-depth contextual analysis ✅
C ) Statistical comparisons
D ) Laboratory experiments
A ) Frequency distribution
B ) Relationships between variables ✅
C ) Categorical data
D ) Time series trends
A ) Measured outcome
B ) Manipulated factor ✅
C ) Constant factor
D ) Extraneous variable
A ) Statistical analysis
B ) Cultural context ✅
C ) Laboratory setting
D ) Historical documents
A ) Using One data source
B ) Combining multiple methods ✅
C ) Ignoring discrepancies
D ) Simplifying analysis
A ) Are paid adequately
B ) Understand studies risks/benefits ✅
C ) Receive preferred results
D ) Avoid all risks
A ) Comparing meaning
B ) Categorical data analysis ✅
C ) Measuring correlations
D ) Predicting outcome
A ) Collect Demographic data
B ) Standarrized performance assessments ✅
C ) Conduct statistical analysis
D ) Replace informed consent
A ) Calculating p-values
B ) Identify pattern in qualitative data ✅
C ) Conductivity t-tltest
D ) Measuring instrument reliability
A ) Random selection
B ) Deliberate choice of information rich cases ✅
C ) Equal representation of all sub groups
D ) Large sample sizes
A ) Always be avoided
B ) Be justified and cause no harm ✅
C ) Be used without consent
D ) Have small sample sizes
A ) Reject a true null hypothesis
B ) Fail to reject a false null hypothesis ✅
C ) Use inappropriate instruments
D ) Have small simple sizes
A ) Sequential data collection
B ) Simultanous quantitative and qualitative data collection ✅
C ) Qualitative method only
D ) Ignoring descripancies
A ) No numerical values
B ) A True zero point ✅
C ) Unequal intervals
D ) Only categories
A ) Raw data tables
B ) Interpretation of finding ✅
C ) Detailed methodology
D ) Literature citations only