Unit 2 Flashcards

(74 cards)

1
Q

Hypothesis

A

Is tentative statement about the relationship between two or more variable.
Example:
IV: the type of food consumed by the rates
DV: the weight of the rats at the end of experiment
Hypothesis: if rats are given more access to high calorie treat food they will put on more weight.

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2
Q

Variables

A

Are any measurable conditions, events, characteristics , or behaviors that are controlled or observed in a study.

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3
Q

Theory

A

Is a system of interrelated idea used to explain a set of observed observations.
A scientific theory must be testable.

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4
Q

Operational Definition

A

Describes the actions or operations that will be used to measure or control a variable.
Examples;
-Speed of decision made
-the number of times a student attempted to assault another student
-attractiveness: the likelihood of a participant pressing the green button for yes in response to a face.

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5
Q

Participants

A

Are the persons or animals whose behavior is systematically observed in a study.

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6
Q

Data Collection Techniques

A

Which are procedures for making empirical observation and measurements.

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7
Q

Journal

A

Is a periodical that publishes technical and scholar material, usually in a narrowly defined area of inquiry.
Standard Organization of a Journal Article:
Abstract
Introduction
Method
Results
Discussion
References

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8
Q

Research Methods

A

Consist of various approaches to the observation, measurement, manipulation and control of variable in empirical studies.
General term for collecting empirical data

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9
Q

Experiment

A

Is research method in which the investigator manipulates a variable under carefully controlled conditions and observes whether a changes occur in second variable as a result.
Example: Effects of group size on efficiencies and satirical toon of group members. You create one large group and one small groups and told to come up with an agreement about movie night. After they were asked to rate the satisfaction of the group size and the time it took to come to an agreement.

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10
Q

Independent Variable

A

Is a condition or event that an experiment varies in order to see its impact on another variable. This variable is controlled or manipulates.
Often called: treatment, risk factor, intervention or predictor. Something you want to change.
(Ie) The type of clothing a man wore: Discussing tax cuts from a man wearing a suit or street cloths.
Or Film Violence.

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11
Q

Experimental Group

A

Consists of the subjects who receive some special treatment in regard to the independent variable.
(Ie) subjects watches a political speech on tax’s cuts where the person wears street clothes. Or children who listen to a drill while waiting at the dentist (high anxiety group)

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12
Q

Control Group

A

Consists of similar subjects who do not receive the special treatment given to the experimental group.
Purpose: to isolate the effect of the independent variable on the dependent variable.
(Ie) seeing a man give a speech in a suit and tie. People usually dress up when addressing anything political.

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13
Q

Extraneous Variables

A

Are any variables other than the independent variable that seem likely to influence the dependent variable in a specific study.

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14
Q

Confounding Of Variable

A

Occurs when two variables are linked in a way that makes it difficult to sort out their specific effects.
When a variable other than the independent variable affects the dependent variable.
Examples:
Persons culture or ethnicity
Shyness of the participants
Math skills of the participants
Example questions of how to control this variable: HR and BP rate of watching a horror film. You ask the participants how they generally react to horror movies.

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15
Q

Random Assignment of Participants

A

Occurs when all participants have an equal chance of being assigned to any group or condition in the study.
When using this method individual differences between the experimental and control groups is reduced

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16
Q

Reactivity

A

Occurs when a participants behavior is alerted by the presence of the observer.

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17
Q

Case Study

A

Is an in depth investigation of an individual participant or group of participants.
(Ie) Doctor is interested in the effects of traumatic brain injury by conducting a in depth research.

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18
Q

Survey

A

Used by researchers.
Use questionnaires or interviews to gather a large amount of information about a specific aspect of participants behavior in a short amount of time.
Weakness of survey is that rely on self report data. Participants might lie about embarrassing or sensitive behaviors.

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19
Q

Descriptive Statisitcs

A

Used to organize and summarize data.
The term that best describes measures of central tendency and variability.

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20
Q

Median

A

Score that falls exactly in the center of a distribution of scores.
Rearrange numbers so they are in order first.

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21
Q

Mean

A

The arithmetic average of the scores in a distribution of scores.
The mean is the most useful measure of central tendency as manipulations can be performed.
However it is the most sent I’ve to extreme scores in a distribution.
To find mean:
Add all the numbers together. Then divide by the total number in the set.

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22
Q

Mode

A

Is the most frequent score in a distribution.
Example:
The weight that the most rat had at the end of the experiment

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23
Q

Statistical Variability

A

Refers to how much the scores in a data set vary from each other and from the mean.

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24
Q

Standard of Deviation

A

Is an index of the amount of variability in a set of data.

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25
Normal Distribution
Is a symmetrical, bell shaped curve that represents the pattern in which many human characteristics are disperses in a population.
26
Percentile Score
Indicated the percentage of people who score at or below a particular score. Example: Everyday each rat is weighed. The rates score at the 70th percentile. So, the rats weighs more than 70% of the other rats.
27
Correlation
Exits when two variable are related to each other.
28
Correlation Coefficient
Is a numerical index of the degree of relationship between two variables. Indicates (1) the direction of the relationship (pos or neg) (2) how strongly the 2 variables are related. Weak: 0.1 - 0.3 Mod: 0.31 - 0.44 Strong: 0.5 - 1.0
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Inferential Statistics
Used to interpret data and draw conclusions about the data that has been gathered.
30
Statistical Significance
Is said to exits when the probiotic that the observed findings are due to chance is very low. To calculate: use mean and standard deviation
31
Replication
Is the repetition of a study to see whether the earlier results are duplicated.
32
Sample
Is the collection of participants selected for observation in an empirical study.
33
Population
Contrast to sample. Is a much larger collection of people or animals from which the sample is drawn that researchers want to generalize about. (ie) the group of people to whom the conclusion of a research study will apply.
34
Sampling Bias
Exists when a sample is not representative of the population from which it was drawn. Its type of bias is a problem as it limits the generality of the findings. (Ie) 20 students in a class has the lowest scoring. 10 students volunteered after the teacher told them he was trying to improve scores with memory enchanting games. Sampling bias is only 10 out of 20 volunteered, it is possible this group was a biased sample of students with poor memories. Threes students may be more optimistic than the other students with respect to improving their scores.
35
Placebo Effect
Occurs when participants expectations lead them to experience some change even through they receive empty, fake, or ineffectual treatment. (Ie) a placebo effect make it seem like the treatment has a larger effect than it really did.
36
Social Desirability Bias
Which is a tendency to give social y approached answers to questions about oneself. Examples- 1.a survey was sent out to ask people to provide information about their attitudes on a number of sensitive subjects. Answers received may be somewhat distorted. 2. Participants will typically score higher on the honestly measure in the survey compared to an interview
37
Response Set
Is a tendency to respond to question in a particular way that is unrelated to the content of the questions. (Ie) patient agreed to online survey. Found out it had over 300 questions. Rather than quitting the patient just selected you or definitely agree for every question.
38
Experimenter Bias
Occurs when a researchers expectation or preferences about the outcome of a study influence the results obtained. The use of a double blind procedure can neutralize bias. Question Examples of how to avoid this bias: Do you know what happened to the chair? Why did you break the chair? Did you break the chair? Ask someone else who is not completing the experimenter to ask the participants what happened to the chair.
39
Double Blinded Procedure
Is a research strategy in which neither participants nor experimenters know which participants are in the experiments or control groups.
40
Anecdotal Evidence
Consists of personal stories about specific incidents and experiences. Less reliable, difficult to verify and is less representative than empirical evidence.
41
Correlational Research
When psychologist cannot exert experimalental control over the variables they want to study. Uses methods that include naturalistic observation, case studies and surveys.
42
Ethical Guidelines
Guidelines that inform psychological research. There are necessary to conduct research.
43
Experimental Research (Method)
Powerful research method where the principals advantage is that it permits conclusions about cause and effect relationships between variables. Able to draw conclusions due to the precise control available allows for the isolation of the relationship between IV and DV. Disadvantage of this kind of research: can’t often be done for practical or ethical reasons Often artificial, can lead to doubts about the findings to everyday behavior outside the lab.
44
Frequency Distribution
An orderly arrangement of scores indicating the frequency of each score or a group of scores.
45
Frequency Polygon
A line figure used to present data from a frequency distribution.
46
Meta-Analysis
The combination of statistical results of many studies of the same question, yielding an estimated of the size and consistency of variables efffects.
47
Naturalistic Observation
A researcher engages in careful observation of behavior without interventions directly with the subjects. Allows researchers to study behaviors under conditions that are less artificial than in experiments. Examples; -researchers at a buffet concluded that people who choose larger plates consumed more food. -a researcher observed bulling and aggression of the play ground between children and taking careful notes of their interactions Advantages Examples: natural observation can be a good starting point when little is known about a certain phenomenon. Disadvantages Examples: one cannot reliably explain any patterns of behavior one might observe.
48
Negatively Skewed Distribution
Refers to the direction in which the curve of the tail points. Figure of scores that pile up at the high end of the scale. The curve go down to the left. Indicates that two variables co vary in the opposite direction. People who score high on X will score low on Y. People who score low on X will score high on Y. Example: -0.79 the less time required to make a deal is ion the greater the satisfaction of group members.
49
Positively Skewed Distribution
A figure where the scores pile up at or blow a particular score. Scores go up to the right. Two variables co vary int he same direction. High scores on X are associated with high scores on Y. Low scores on X are associated with low scores on X. Example: +0.70 participants who we’re more stressed ate more tidbits
50
Statistics
Is the use of mathematics to organize, summarize and interpret numerical data. Uses: Interpret observations Organize observations Summarize observations
51
5 Steps of Scientific Investigation
1. Formulate a testable hypotheses 2. Select the research method and design the study 3. Collect the data 4. Analyze the data and draw conclusions 5. Report the findings
52
Strength of Correlation
The size of the coefficient indicated the strength of an association between 2 variables. Coefficient near 0 indicated no relationship between variables. The closer the correlation to either -1.00 or +1.00 the stronger the relationship. THe Pos or neg sign represents the direction of the curve.
53
Correlation does not Cause Causation
In correlation, you cannot distinguish whether one variable causes another, whether true or not or whether a third variable is procuring results. You can however eliminate explanations that would produce different patterns or results. Example: regular church attendees can build a network of social support, which has a positive impact on their health.
54
Animal Research in Psychology
Only a small portion of animals are used in research, less than 10%. THe majority of the studies are often mundane and don’t require the animal to experience discomfort.
55
3 Goals of the Scientific Enterprise
1. Measurement and Description (Ie) if you were interested in in the effects of different situations on emotions you would first have to develop some means of measuring emotions 2. Understanding and Prediction Higher level of science is understanding. In order to understand, you make predictions using an hypotheses. 3. Application and Control (Ie) you are investaging the causes of anxiety. Yo9u use your research to design a tutor program to improve exam perforamancec.
56
Dependent Variable
The variable that is thought to be affected by manipulation of the independent variable. Often called: the response, the symptom or the outcome (Ie) level of anxiety created by watch a violent film
57
Central Tendency
A typical or average score in a data set. Examples: The satisfaction rating for a large group is 4.6
58
Correlation between Two Variables
It predicts the value of one variable based on your knowledge of a second variable.
59
Representative Sample
Associated with the ability to generalize the findings from a research study.
60
Canadian Psychological Association (CPA)
Ethical principles that are designed to ensure the welfare of both humans and animal research participants. 1. Respect for the dignity of persons 2. Responsible caring 3. Integrity in relationships 4. Responsibility to society.
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Members of Tri Council
1. Social science and humanities research council 2. Natural science and engineering research council 3. Canadian institutes of health research
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Canadian Code of Ethics for Psychologist
The code of ethics used by Canadians psychologists
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Responsibility of Psychologist
To assure freedom of consent for research participants.
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Why do Researchers use Statistics when they conduct Scientific Investigations?
To analyze the empirical data collection in their study.
65
Placebo Control Group
Where groups receives a substances that has not active component but looks and tastes just like the supplements given to the experimental group.
66
Psychological Test
Scientific measurement used to obtain a sample of a person behavior. Participants are administered a standard measure to obtain a sample of their behavior. Tests are usually used to assess mental abilities or personality traits.
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Between Subject Design
Research method where participants are split into groups and each group is given a different treatment.
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Within Subjects Design
Also known as a repeated subject design. Research method where the same participants experience all conditions of an experiment.
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Direct Observation
Involves direct contact between the researcher and the participant. Observes are trained to watch and record behavior as objectively and precisely as possible. They may use some instrument such as a stop watch or video recorder.
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Controlled Variable
A variable you want to keep the same
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Ph.D in psychology
Most likely will work in the public sector.
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Attributes of the Scientific Method
1. Curiosity. (Ie) why did this happen> 2. Skepticism (ie) it sounds good but show me more evidence. 3. Open-mindedness (ie) well, that’s a surprise. I guess we need to revise our theory. I will investigate other explanations for the data in my experiment even if it does not align with my hypothesis.
74
Distortion of Self Report Data
Occurs when particiapants provide inaccurate or bias responses. Often occurs with factors like social desirability, memory issues or misinterpretations of questions that leads to unreliable research findings. Example: When participants know the reasoning behind the experiment and change their answers or responses to please the researcher.