Podcast
Questions and Answers
Which of the following is an example of ordinal data?
Which of the following is an example of ordinal data?
What characteristic defines interval data?
What characteristic defines interval data?
In the provided demographic data, what percentage of the total respondents were female?
In the provided demographic data, what percentage of the total respondents were female?
How many males were reported among the nurses in the research sample?
How many males were reported among the nurses in the research sample?
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Which of the following statements about the data sample is true?
Which of the following statements about the data sample is true?
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What type of research lacks randomization to treatment groups?
What type of research lacks randomization to treatment groups?
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In which phase of the research process is the data analyzed?
In which phase of the research process is the data analyzed?
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Which of the following is NOT a type of quantitative research?
Which of the following is NOT a type of quantitative research?
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What does nonexperimental research primarily involve?
What does nonexperimental research primarily involve?
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What is a fundamental property that true experimental research possesses?
What is a fundamental property that true experimental research possesses?
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Which phase in the research process comes after the Design and Planning phase?
Which phase in the research process comes after the Design and Planning phase?
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Which statistical tests are commonly associated with quantitative research analysis?
Which statistical tests are commonly associated with quantitative research analysis?
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Which type of quantitative research testing assesses the strength of a relationship between variables?
Which type of quantitative research testing assesses the strength of a relationship between variables?
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What distinguishes true experimental research from quasi-experimental research?
What distinguishes true experimental research from quasi-experimental research?
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Which of the following best describes the purpose of experimental research?
Which of the following best describes the purpose of experimental research?
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What is a key characteristic of non-experimental research?
What is a key characteristic of non-experimental research?
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In research design, what is manipulation primarily concerned with?
In research design, what is manipulation primarily concerned with?
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Which of the following is a common type of quantitative research?
Which of the following is a common type of quantitative research?
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What does the ethical principle of beneficence in research typically emphasize?
What does the ethical principle of beneficence in research typically emphasize?
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Which data collection process is most commonly associated with quantitative research?
Which data collection process is most commonly associated with quantitative research?
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What is the primary focus of mixed method research?
What is the primary focus of mixed method research?
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What type of data is described as being categorized into defined classes?
What type of data is described as being categorized into defined classes?
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Which level of measurement indicates that data is classified into categories without a specific order?
Which level of measurement indicates that data is classified into categories without a specific order?
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Which statistical measure represents the average of a set of values?
Which statistical measure represents the average of a set of values?
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What does multivariate analysis involve?
What does multivariate analysis involve?
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Which type of data is measured and can yield scale values such as height or IQ?
Which type of data is measured and can yield scale values such as height or IQ?
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What is a characteristic of ratio level measurement?
What is a characteristic of ratio level measurement?
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Which of the following best describes the mode in statistical terms?
Which of the following best describes the mode in statistical terms?
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What is the first step when quantifying data in research analysis?
What is the first step when quantifying data in research analysis?
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What type of analysis is used for complex descriptive research questions?
What type of analysis is used for complex descriptive research questions?
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Which statistical test would you use for single factor difference questions?
Which statistical test would you use for single factor difference questions?
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In describing data, what measure is considered a type of dispersion?
In describing data, what measure is considered a type of dispersion?
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What is the definition of variance in statistical terms?
What is the definition of variance in statistical terms?
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Which type of analysis would you use for associational questions that are complex or multivariate?
Which type of analysis would you use for associational questions that are complex or multivariate?
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For a basic associational question, which statistic is most commonly utilized?
For a basic associational question, which statistic is most commonly utilized?
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What statistic is used to assess the relationship between two binary variables?
What statistic is used to assess the relationship between two binary variables?
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Which of the following scales indicates occurrence classified as 'Often'?
Which of the following scales indicates occurrence classified as 'Often'?
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Study Notes
Experimental Research
- Researchers actively manipulate conditions and observe in a controlled environment.
- Aims to determine if a specific treatment influences an outcome.
- True experiments involve random assignment of subjects to treatment conditions.
- Quasi experiments use non-randomized assignments of subjects.
Non-Experimental Research
- Researchers don't manipulate or control independent variables, typically conducted in natural settings.
- Types:
- Comparative: tests differences between groups (e.g., comparing new vs. old curriculum)
- Correlational: tests the strength of the relationship between variables (e.g., IQ and height)
- Methodological: evaluates the effectiveness of a tool or questionnaire
- Survey: examines characteristics of a population (e.g., school, community, social survey)
Quantitative Research
- Aims to find answers about relationships among measurable variables to explain, control, and predict phenomena.
- Emphasizes systematic procedures and brings order to complex data.
- Important considerations when conducting quantitative research:
- Understanding the research problem
- Understanding the nature of variables (categorical vs. metric data)
- Determining the appropriate statistical procedures based on levels of measurement (NOIR: Nominal, Ordinal, Interval, Ratio)
Data Types in Quantitative Research
- Categorical Data: Cases are categorized with defined classes, often counted or yield frequencies. (e.g., gender: male, female).
- Metric Data: Cases are measured, resulting in metric or scale values. (e.g., height: 4.5m, IQ: 130)
Levels of Measurement (NOIR)
- Nominal: Categories with no specific order (e.g., gender, civil status, political affiliation).
- Ordinal: Categories imply ranking (e.g., year standing, ranks of professors, Likert scale).
- Interval: Difference between numbers has a known constant size, but zero is arbitrary (e.g., temperature in Celsius, IQ scores).
- Ratio: Highest level, has a fixed zero point, allowing for meaningful ratios (e.g., weight, height, income).
Measures of Central Tendency
- Mean: Average, calculated by adding all values and dividing by the number of values.
- Median: Value that divides the data set into two equal halves.
- Mode: Most frequently occurring value.
Descriptive Analysis
- Provides simple descriptions and summaries of the sample and observations.
- Includes measures of dispersion:
- Range: Highest value - lowest value.
- Variance: Average of the squares of the distances each value is from the mean.
- Standard Deviation: Square root of the variance.
Measures of Association
- Phi Coefficient: Measures association for two binary variables (similar to Pearson correlation coefficient).
- Pearson R: Used for basic associational questions, indicates the strength and direction of a linear relationship between two metric variables.
- Multiple Regression: Used for complex multivariate associational questions, when predicting one variable based on multiple other variables.
Choosing the Appropriate Measure
- Univariate Analysis: Describing data with one variable: use measures of dispersion (range, variance, standard deviation) and measures of central tendency (mean, median, mode)
- Bivariate Analysis: Describing data with two variables, use measures of association depending on the nature of the data. For Nominal: Phi coefficient is adequate. For metric data, Pearson R is suitable.
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Description
Explore the different types of research methods used in psychology, including experimental and non-experimental designs. This quiz covers key concepts such as true experiments, quasi-experiments, and various non-experimental approaches like correlational and survey research. Test your understanding and application of these fundamental research techniques.