Podcast
Questions and Answers
What is the main purpose of using observational techniques in a clinical perspective?
What is the main purpose of using observational techniques in a clinical perspective?
What is an example of the issues posed by observational techniques?
What is an example of the issues posed by observational techniques?
What distinguishes a clinician from a participant observer in a study?
What distinguishes a clinician from a participant observer in a study?
Surveys are primarily used to determine what about a population?
Surveys are primarily used to determine what about a population?
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Which of the following is a limitation of observational techniques?
Which of the following is a limitation of observational techniques?
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What is one common topic that surveys seek to gather information about?
What is one common topic that surveys seek to gather information about?
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What is a key characteristic of a descriptive survey?
What is a key characteristic of a descriptive survey?
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What outcome was noted from after-death phone calls to families of people with mental illness?
What outcome was noted from after-death phone calls to families of people with mental illness?
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How does the order in which items are presented affect responses in a study?
How does the order in which items are presented affect responses in a study?
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Which statement correctly describes carryover effects?
Which statement correctly describes carryover effects?
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What is an example of an environmental independent variable?
What is an example of an environmental independent variable?
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What is a key characteristic of complete counterbalancing?
What is a key characteristic of complete counterbalancing?
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Which of the following correctly describes a dependent variable?
Which of the following correctly describes a dependent variable?
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According to the empirical rule, what percentage of data lies within two standard deviations from the mean in a bell-shaped distribution?
According to the empirical rule, what percentage of data lies within two standard deviations from the mean in a bell-shaped distribution?
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How does age serve as a participant/subject independent variable?
How does age serve as a participant/subject independent variable?
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Which type of dependent variable measures how often an event occurs?
Which type of dependent variable measures how often an event occurs?
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In the example of the empirical rule given, what was the sample mean height of women in Canada?
In the example of the empirical rule given, what was the sample mean height of women in Canada?
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What must be true about events in complete counterbalancing aside from equal occurrence?
What must be true about events in complete counterbalancing aside from equal occurrence?
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What does the term 'latency' refer to in the context of dependent variables?
What does the term 'latency' refer to in the context of dependent variables?
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When assessing the risk behavior of various age groups in traffic situations, which age category is least likely to cross the road safely?
When assessing the risk behavior of various age groups in traffic situations, which age category is least likely to cross the road safely?
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What is one common method used in descriptive research?
What is one common method used in descriptive research?
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What is a main focus of observational research methods?
What is a main focus of observational research methods?
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In the study examining road crossing behavior, what was measured as a dependent variable?
In the study examining road crossing behavior, what was measured as a dependent variable?
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What type of study design often involves manipulation of training types, such as for teaching abduction-prevention skills?
What type of study design often involves manipulation of training types, such as for teaching abduction-prevention skills?
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Which of the following percentages indicates data lying within one standard deviation from the mean according to the empirical rule?
Which of the following percentages indicates data lying within one standard deviation from the mean according to the empirical rule?
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What is the primary goal of counterbalancing in research?
What is the primary goal of counterbalancing in research?
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What was the total number of judgments made in the case presented?
What was the total number of judgments made in the case presented?
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What does the graph depicting homicides in Canada by province represent?
What does the graph depicting homicides in Canada by province represent?
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Which of the following is a critical issue when interpreting visual data representation?
Which of the following is a critical issue when interpreting visual data representation?
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In the presented graph, which province likely has the highest homicide rate relative to others?
In the presented graph, which province likely has the highest homicide rate relative to others?
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How should results be visually represented to avoid misrepresentation?
How should results be visually represented to avoid misrepresentation?
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What is a potential consequence of misinterpreting graphical data?
What is a potential consequence of misinterpreting graphical data?
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If a province had 10 homicides per 100,000 people and another had 20, what can be assumed?
If a province had 10 homicides per 100,000 people and another had 20, what can be assumed?
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What factor must be considered to ensure accuracy in visual data?
What factor must be considered to ensure accuracy in visual data?
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What does each point in a scatter plot represent in this context?
What does each point in a scatter plot represent in this context?
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What does negative skew imply about a distribution?
What does negative skew imply about a distribution?
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Which of the following describes kurtosis?
Which of the following describes kurtosis?
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What is the main goal of using graphs in data representation?
What is the main goal of using graphs in data representation?
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What is a common feature of 'cheating graphs'?
What is a common feature of 'cheating graphs'?
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What characteristic typically defines a unimodal symmetrical distribution?
What characteristic typically defines a unimodal symmetrical distribution?
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How can data distortion occur in graph usage?
How can data distortion occur in graph usage?
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Which type of distribution is described as 'tall and skinny'?
Which type of distribution is described as 'tall and skinny'?
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Study Notes
Experience IVs
- Manipulation of the amount or type of training or learning
- Example: Testing a school program for teaching children abduction-prevention skills
Stimulus/Environmental IVs
- Manipulation of some aspect of the environment
- Example: Examining the effects of changing various conditions on worker performance
- Example: Looking at whether the presence of a weapon decreases ID accuracy
Participant/Subject IVs
- Aspects of the participant treated as if they are IVs
- Some examples: Age, gender, personality traits
Participant/Subject IV Example
- Overrepresentation by older pedestrians in serious injury and fatal crashes may be due to age-related diminished ability to select gaps in oncoming traffic for safe road crossing
- Participants tested in three groups: young (30-45 yrs), young-old (60-69 yrs), and old-old (>75 yrs).
- Despite an apparent ability to process the distance and speed of oncoming traffic when given enough time, significantly more old-old adults were willing to cross the road when there was an insufficiently safe gap.
Dependent Variables
- Variable that is measured to see the effects of the independent variable
- Should relate back to your hypothesis
- Must be operationally definable
- Must be both VALID and RELIABLE
Types of DVs
- Correctness: How many were right?
- Rate/Frequency: How often did it occur within a certain amount of time?
- Degree or Amount: How much of it was there?
- Latency or Duration: How fast did it happen? How long did it last?
Order Effects
- When position in a series affects how participants respond
- Doesn't depend on the EVENT but rather the POSITION
Carryover Effects
- When the effects of one event influence responses to the next event
- Depends on the EVENT not the POSITION
Counterbalancing
- Vary the order in which items are presented
- Can be either within-subject or within-group
- Can be either complete or incomplete
Complete Counterbalancing
- Each event must be presented to each participant an equal number of times
- Each event must occur an equal number of times at each session
- Each event must precede and follow all other events an equal number of times
Interpreting Standard Deviation: Empirical Rule (68 – 95 – 99.7 Rule)
- About 68% of the data lie within 1 SD of the mean
- About 95% of the data lie within 2 SDs of the mean
- About 99.7% of the data lie within 3 SDs of the mean
Example: Using the Empirical Rule
- In a survey conducted by the Stats Canada, the sample mean height of women in Canada (ages 20-29) was 64 inches, with a sample standard deviation of 2.71 inches
- Estimate the percent of the women whose heights are between 64 inches and 69.42 inches
Solution: Using the Empirical Rule
- Because the distribution is bell-shaped, you can use the Empirical Rule
Non-Experimental Methods I: Observational Research
- Using Census data to determine whether lower income families are more likely to have health problems
- Recording the behaviour of children on the playground to determine the prevalence of bullying
- Detailed observations of the abilities and behaviour of a man with synesthesia
- Jane Goodall's research of chimpanzees in the wild
Observational Techniques: Clinical Perspective
- Descriptive approach aimed at understanding and correcting a particular behavioural problem
- Example: Does an “after-death” phone call help family members of a person with mental illness?
- Noted increased feelings of validation, comfort, and thankfulness to mental health provider for the call.
- Based on these findings, the authors recommended that after-death calls should be made in the future.
Observational Techniques: Issues
- Reactivity: When knowledge one is being observed affects his/her behaviour (AKA “The Hawthorne Effect”)
- Objectivity
- Cannot make cause-and-effect statements
Surveys & Questionnaires: Descriptive Surveys
- Seek to determine what % of the population have particular characteristics, beliefs, or behaviours
- Examples:
- Who are you? Do you live alone? How many children do you have?
- Do you suffer from depression? Diabetes? Asthma?
- Do you have a driver’s license? Are you employed?
- What do you think? Do you believe in gay marriage? Which do you like better? Pepsi or Coke?
- Who do you think will win the Stanley Cup? How would you rate the service at this restaurant?
- Who do you plan to vote for?
Describing Distributions
- Unimodal Symmetrical
- Bimodal Symmetrical
- Negative Skew
- Positive Skew
- Kurtosis: Extent of deviation from normal curve in width of curve and thickness of tails
- Normal Distribution
- Tall and skinny versus flat and wide
Effective and Accurate Use of Graphs
- Goal of graphs: To provide an ACCURATE visual representation of your results
- Not all graphs are created equal! Some common ways that people use graphs to distort data...
Cheating Graphs
- Problem 1: Distortion of the Y axis scale
- Problem 2: Failure to use the same scale for all comparisons
- Problem 3: Failing to adjust for distorting confounds (e.g., population sizes)
Reminders and Announcements
- Midterm: October 25th
- 25 multiple choice questions, 5 short answer questions
- Do the practice questions posted on D2L.
- More practice questions will be uploaded this week and the next as we approach the midterm date.
- Review sessions on October 23rd and October 24th
- Go over list of important topics to study.
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Description
This quiz explores the concept of independent variables in research, focusing on experience, stimulus/environmental factors, and participant traits. Learn how these variables impact study outcomes through real-world examples and case studies. Test your knowledge on how manipulating these factors can lead to insightful findings.