Test #1 Flashcards

Chapter 2 & 9

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1
Q

What are the steps in a Scientific Investigation?

A
  1. Formulate a testable hypothesis
  2. Select the research method and design
  3. Collect the data
  4. Analyze the data and draw conclusions
  5. Report the findings
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2
Q

Dependent variable (DV)

A

variable affected by manipulation

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3
Q

Independent variable (IV)

A

variable manipulated

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4
Q

Experiment

A

manipulation of one variable under controlled conditions so that resulting changes in another variable can be observed (Ex: Coke and Mentos)

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5
Q

What is the theory construction?

A

Confidence in theory increases
^
Theory > Hypothesis > Empirical Research
v
Revise/refine the theory < Confidence in theory decreases
v
Discard the theory

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6
Q

Operational definitions

A

are used to clarify precisely what is meant by each variable (e.g., self esteem defined as score on survey)

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7
Q

Participants or subjects

A

are the organisms whose behaviour is systematically observed in a study

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8
Q

Data collection techniques

A

allow for empirical observation and measurement

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9
Q

Methods used when a researcher cannot manipulate the variables under study?

A
  • Naturalistic observation
  • Case studies
  • Surveys
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10
Q

Measures of central tendency is?

A

typical or average score in a distribution

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11
Q

Mean?

A

arithmetic average of scores

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12
Q

Mode?

A

most frequently occurring score

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13
Q

Medium?

A

score falling in the exact centre

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14
Q

Meta-Analysis

A
  • A study of many other studies
  • Combines the statistical results of many studies asking the same questions
  • Offers an estimate of the size and consistency of a variable’s effects
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15
Q

Control group

A

similar subjects who do not receive the special treatment

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16
Q

Experimental group

A

subjects who receive some special treatment in regard to the independent variable

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17
Q

Statistical significance

A

when the probability that the observed findings are due to chance is very low

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18
Q

Standard Deviation

A

numerical depiction of variability
High variability in data set = high standard deviation
Low variability in data set = low standard deviation

19
Q

Variability

A

how much scores vary from each other and from the mean

Range = the simplest measure of variability, and the most intuitive

20
Q

Statistics

A

using mathematics to organize, summarize, and interpret numerical data

21
Q

Inferential statistics

A

interpreting data and drawing conclusions

22
Q

Descriptive statistics

A

organizing and summarizing data

23
Q

Experimental Research disadvantages

A
  • Artificial nature of experiments

- Ethical and practical issues

24
Q

Experimental Research Advantages

A

-Conclusions about cause-and-effect can be drawn

25
Q

Correlation

A

numerical index of degree of relationship

26
Q

Higher correlation coefficients

A

increased ability to predict one variable based on the other

27
Q

Cognitive Ability

A

The ability to reason, remember, understand, solve problems, and make decisions

28
Q

Intelligence

A

Those attributes that centre around skill at information processing, problem solving, and adapting to new or changing situations

29
Q

Lewis Terman (1916)

A
  • Stanford-Binet Intelligence Scale

- Intelligence Quotient (IQ) = MA/CA x 100

30
Q

David Wechsler (1955)

A

-Wechsler Adult Intelligence Scale

31
Q

Alfred Binet and Theodore Simon (1905)

A
  • Binet-Simon Intelligence Scale (first formal test)

- Mental age (beginnings of the ‘quotient’)

32
Q

Sir Francis Galton (1869)

A

-Hereditary Genius (correctly concluded that intelligence is largely inherited)

33
Q

The Information-Processing Approach

A

Identifies the processes involved in behaving intelligently.

34
Q

The Psychometric Approach

A
  • Spearman’s ‘G’ – one factor solution
  • Thurstone’s 7-factor solution
  • Catell’s 2-factor solution = fluid & crystallized
35
Q

Heredity

A
  • Family and twin studies

- Heritability estimates (how much variability is genes?)

36
Q

Enviornment

A
  • Adoption studies (who are you more like?)
  • Cumulative deprivation hypothesis (effects of negative environments)
  • The Flynn effect (are we getting smarter? Why?)
37
Q

Interaction

A

-The concept of the reaction range (genes set upper and lower limits; environment does the rest)

38
Q

Standardization

A
  • Test norms (e.g., for certain ages, sex)

- Standardization group (recall problems of sampling)

39
Q

Reliability

A

-Correlation coefficient (e.g., test-retest)

40
Q

Validity

A
  • Content validity (is content representative?)
  • Criterion-related validity (is score related to some other related score?)
  • Construct validity (is there lots of evidence it measures what it purports to measure?)
41
Q

Mental Ability Tests

A
  • Intelligence – general (intellectual potential)
  • Aptitude – specific (e.g., numerical ability)
  • Achievement tests (e.g., mastery of knowledge in a particular area)
42
Q

Personality Scales

A

-Measure motives, interests, values, and attitudes

43
Q

Intellectual Disability or Mental Retardation 4 levels:

A

mild, moderate, severe, profound