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RES04_Res Pro CO1_#3
RESEARCH PROJECT CO1 _ Composite MasterSet _ #3 ALL
| Question | Answer |
|---|---|
| What is validity in a research instrument? | The ability of an instrument to measure what it is intended to measure. |
| What is reliability in a research instrument? | The ability of an instrument to produce consistent results when measured repeatedly. |
| What does Face Validity assess? | A surface-level judgment of whether the instrument appears appropriate. |
| What does Content Validity evaluate? | How well the items in the instrument match the objectives of the study. |
| What is Criterion Validity? | The degree to which a measure correlates with an outcome or external criterion. |
| What is Construct Validity? | How well a test measures the theoretical construct it claims to measure. |
| What is the purpose of Test–Retest Reliability? | To check consistency by administering the same instrument to the same sample at different times. |
| What does Split-Half Reliability measure? | Consistency between two halves of the same instrument. |
| What is Inter-Rater Reliability? | The level of agreement between different raters or interviewers. |
| What does Internal Consistency measure? | How consistently all items in an instrument measure the same construct. |
| What statistic is commonly used to measure Internal Consistency? | Cronbach’s Alpha. |
| What indicates a reliable experimental instrument? | Precise results across repeated trials under the same conditions. |
| What is an example of a valid experimental instrument for measuring temperature? | A thermometer. |
| Why are multiple trials important in experimental research? | They help determine the precision and reliability of measurements. |
| What is the minimum number of trials commonly used in experimental research? | At least three trials. |
| Why is validity important in research instruments? | It ensures the instrument measures the intended variable accurately. |
| Why is reliability important in research instruments? | It ensures results are stable and repeatable. |
| How does a valid and reliable instrument affect research results? | It increases consistency, usefulness, and clarity of findings. |
| What happens after validity and reliability testing? | The instrument can be distributed (survey) or used (experiment) to gather data. |
| How does following past studies help in experimental research? | It ensures procedures and conditions are appropriate and aligned with research objectives. |
| What is validity in a research instrument? | The ability of an instrument to measure what it is intended to measure. |
| What is reliability in a research instrument? | The ability of an instrument to produce consistent results when measured repeatedly. |
| What does Face Validity assess? | A surface-level judgment of whether the instrument appears appropriate. |
| What does Content Validity evaluate? | How well the items in the instrument match the objectives of the study. |
| What is Criterion Validity? | The degree to which a measure correlates with an outcome or external criterion. |
| What is Construct Validity? | How well a test measures the theoretical construct it claims to measure. |
| What is the purpose of Test–Retest Reliability? | To check consistency by administering the same instrument to the same sample at different times. |
| What does Split-Half Reliability measure? | Consistency between two halves of the same instrument. |
| What is Inter-Rater Reliability? | The level of agreement between different raters or interviewers. |
| What does Internal Consistency measure? | How consistently all items in an instrument measure the same construct. |
| What statistic is commonly used to measure Internal Consistency? | Cronbach’s Alpha. |
| What indicates a reliable experimental instrument? | Precise results across repeated trials under the same conditions. |
| What is an example of a valid experimental instrument for measuring temperature? | A thermometer. |
| Why are multiple trials important in experimental research? | They help determine the precision and reliability of measurements. |
| What is the minimum number of trials commonly used in experimental research? | At least three trials. |
| Why is validity important in research instruments? | It ensures the instrument measures the intended variable accurately. |
| Why is reliability important in research instruments? | It ensures results are stable and repeatable. |
| How does a valid and reliable instrument affect research results? | It increases consistency, usefulness, and clarity of findings. |
| What happens after validity and reliability testing? | The instrument can be distributed (survey) or used (experiment) to gather data. |
| How do past studies support experimental research? | They guide procedures and ensure alignment with research objectives. |
| What is data interpretation? | The process of reviewing data to draw relevant conclusions. |
| What is data analysis? | Breaking the study into parts based on specific research questions. |
| What is the main goal of data interpretation? | To answer research questions and achieve research objectives. |
| What must researchers distinguish during interpretation? | Correlation, causation, coincidences, and biases. |
| Why is data interpretation important? | It helps make informed decisions and understand collected data. |
| What does analysis usually precede? | Presentation of data. |
| What is the first task in data interpretation? | Categorizing and summarizing information. |
| What is correlation? | A relationship or pattern between two variables without proving cause. |
| What is causation? | A cause-and-effect relationship where one variable produces a change in another. |
| What is confirmation bias? | Focusing only on data that supports a hypothesis while ignoring contradictions. |
| How can confirmation bias be avoided? | Try to disprove the hypothesis and analyze data objectively. |
| What is irrelevant data? | Information that does not help answer the research question. |
| How can irrelevant data be avoided? | Clearly define variables before reviewing data. |
| What is misleading visualization? | Graphs or charts that distort data through inaccurate angles or scaling. |
| How can misleading visualizations be prevented? | Use accurate, realistic, and proportional representations. |
| What is the effect of insufficient sample size? | Results become less accurate and less reliable. |
| How can researchers determine correct sample size? | Define a margin of error for acceptable deviation from the mean. |
| What is the purpose of identifying outliers? | To detect unusual values that may affect interpretation. |
| What does comparing and contrasting data help with? | Identifying patterns, differences, and trends. |
| What is the overall purpose of data analysis and interpretation? | To improve processes, identify problems, and produce meaningful insights. |
Created by:
frankie gabriel slavin