Psycho 104 - Ch. 2 Flashcards

1
Q

How do we obtain info about people that relate to our theories?

A

Scientific Observation!

Very different than casual observation, it requires precise measurement techniques

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2
Q

Define Operational Definition

A

Defining a concept or variable in terms of the specific procedures used to produce or measure it

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3
Q

Measurements must have WHAT 3 things in order to be effective?

A

Reliability: the measure must produce the same measurement when it is used to measure the same thing

Validity: Measure must be conceptually related to the property of the study

Power: The ability of a measure to detect the conditions specified in the operational definition

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4
Q

Why is it difficult to study humans?

A

Complexity: 500 million interconnected neurons make up our brains

Variability: We are all different

Reactivity: Humans react when they know when theyre being observed vs when theyre not

-Psychology has many empirical challenges because it often involves studying UNOBSERVABLE MENTAL PROCESSES

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5
Q

Define Demand Characteristics

A

Those aspects of an observational setting that cause people to behave as they think they should

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6
Q

What are the two main types of Observer Biases?

A

1) Expectations can influence measurements
- Sometimes experimenters see what they wish to see

2) Expectations can influence reality
- Experimenters can unconsciously cue people to respond like they want people to respond

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7
Q

What are the ways to deal with observer bias?

A

1) Double-Blind Studies
- When neither the researcher nor the participant knows which treatment is under study, and which treatment is a control

2) Using automated measurement devices (Computers)

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8
Q

What are the 3 types of commonly used graphical representations of data in psychology?

A

1) Frequency distributions
2) Histograms
3) Box Plots

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9
Q

What are some of the Measures of Central Tendency?

A

Mode: The value of the most frequency observed measurement

Mean: The average value of all measurements

Median: The value that is in the middle of the distribution

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10
Q

What is The Normal Distribution

A

Also known as GAUSSIAN DISTRIBUTION or BELL-CURVE

It is symmetrical, and it peaks in the middle of the plot, and it tails off on both ends

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11
Q

What are Deceptive Statistics?

A

Methods for describing and summarizing data

CENTRAL TENDENCY: Statements about the value of measurements that tend to lie near the centre or midpoint of a distribution

VARIABILITY: Statements that describe the extent to which measurements differ from one another

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12
Q

What are the two most common measures of variability?

A

1) Range
- The value of the largest measurement in a frequency distribution minus the value of the smallest measurement

2) Standard Deviation
- A stat that describes the average difference between the measurements in a frequency dist and the mean of that dist

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13
Q

Correlation Benefits

A

Can allow researchers to make knowledgeable predictions about the future/past

Can be used to study things where the manipulation of variables is unethical or impossible

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14
Q

Correlation does not equal…

A

CAUSATION

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15
Q

What is the Third Variable Problem

A

when two variables are related to one another only because they are both casually related to the third variable

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16
Q

What two methods can you use to control the third variable?

A

1) Matched Samples Technique

2) Matches Pairs Technique

17
Q

What is the KEY aspect required in experimentation?

A

MANIPULATION

18
Q

What are the 4 Critical Steps of Manipulation?

A

Step 1: Determine what you want to study and identify your variables and measures

-Also need to decide on a design: BETWEEN-SUBJECTS or WITHIN-SUBJECTS

Step 2: Manipulate your Independent Variable

Step 3: Measure your DV

Step 4: Check for affect and draw conclusions

19
Q

Why do we need “Random Assignment”?

A

To make sure our conclusions are applicable to a population

20
Q

What is Random Assignment?

A

A procedure that uses a random event to assign people to the experimental or control group

21
Q

What is Internal Validity?

A

the degree to which an experiment produces clear casual conclusions;

Internal validity is HIGH when there is no confounding of variables

22
Q

External Validity

A

The degree to which the results of a study can be generalized to other people, settings, and conditions

23
Q

What is Random Sampling?

A

A technique for choosing participants that ensures that every member of a population has an equal chance of being included in the sample