Midterm Flashcards

1
Q

What are the steps involved in research?

A

Asking the question
● Identifying the important factors (the variables)
○ The effect of pornography on relationship satisfaction
● Formulating a hypothesis
● Collecting relevant information
● Testing the hypothesis
● Working with the hypothesis
● Reconsidering the theory
● Asking new questions
● (then back to the beginning ­ it’s a cycle)

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2
Q

Primary, Secondary, General

A
● Primary
○ Journals, research articles
○ Direct source
○ Not  a literature review
○ Original report
○ Peer reviewed
● Secondary
○ Literature reviews
○ Articles that are talking about studies that other people have done
○ Provides a level of information “once removed” from original work
○ Ex: Textbook
● General
○ Newspapers
○ Very removed
○ Overview of a certain topic
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3
Q

Basic vs. Applied

A

Basic
○ You want to know just to know ­ you don’t want to do anything about it. Informative
○ No immediate application
○ Uncovers evidence ●

Applied
○ You want to know so that you can make a difference ■ Head Start
○ Addresses practical problems: suggests solutions
○ Doing it with an intent

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4
Q

Quantitative, Qualitative, Critical

A

Quantitative
○ Numbers
○ Generally surveys
○ Big groups of people
○ Pros: easy to analyze, cheap, large populations
○ Cons: Surface level
● Qualitative
○ How individual people feel about things and think about things
○ Looking for patterns
○ Smaller numbers, allows for better quality
○ Pros: indepth, better understanding, how and why
○ Cons: more expensive, time consuming
● Critical
○ Questioning generally accepted views and beliefs
○ Promotes social change
○ Questions that challenge widely held beliefs
○ Tied to a theory
○ Follows research process

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5
Q

Conceptual

A
dictionary definition ( for that particular research)
○ generally accepted
○ ex: Family
○ ex: Big House
○ ex: marital satisfaction
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6
Q

Operational

A

links abstract concept to a behavior, specific definition
○ the way you will measure the variable
○ ex: Family with at least one child attending elementary school
○ ex: Big House that has at least four bedrooms
○ ex: amount of time you spend holding hands

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7
Q

Independent vs. Dependent Variables

A

Independent Variables
○ affects the dependent
○ Marital Satisfaction

Dependent Variables
○ The outcome, affected by the independent
○ Time spent together, communication, etc.

Control Variables
○ Other things that affect dependent
○ Things that could interfere with the dependent variable

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8
Q

Nominal

A

: Categories without any quantitative value
○ Least precise
○ Based on category
○ must include 1 or more categories that are mutually exclusive and
exhaustive
■ exclusive: everyone has a group, but can’t be a member of
more than 1 group
■ Exhaustive: includes ALL categories
○ no ranking ­ you can mix up the order without changing the outcome
○ Exclusive, exhaustive
○ Race, religion, married, not married

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9
Q

Ordinal (order)

A

Ranks people or objects
○ More or less comparisons
○ No particular value assigned (scale of 1­10)
○ Ex. 1st, 2nd, 3rd… no one could be between those.
○ ex: 1st, 2nd and 3rd place. There are no values in between each
place.
○ Ex: Likert­type scales (“on a scale from 1 to 10”) there are no
in­between values

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10
Q

Interval

A

There is no absolute zero (temperature), you can have negatives ○
8. Coding Data
○ Not used very often
○ Starts at different points (0 in Celsius is different than 0 in
Fahrenheit)
○ Ex: Coordinates on a GPS ­ it can say you’re at zero but that
doesn’t mean you aren’t in a place
○ Ex: Height in inches­ You cannot be 0 inches tall
○ Ex: temperature

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11
Q

Ratio

A

absolute zero indicates absence of factor (no negative)
○ intervals in the scale are meaningful
○ has all qualities of an interval scale
○ It stops at 0, cannot have negatives
○ ex: age, years of education, weight, weight, time, # of times you
hold hands to measure love

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12
Q

Coding Data

A

Taking something from your collection form and making it so you can analyze it
● Assigning values to variables (ex: Male­0, Female­1)

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13
Q

Research Questions

A

○ Comparison
Do men and women differ in satisfaction?
b. Relationship
How are these things related?a. Types,
1) Comparison: How do these things differ?
2) Relationship: What is the association between the two?

TYPES­
1) Open­Ended:
­no response set is provided
­ex: How do you feel about taxes? 2) Close­Ended:
­response set provided
­ex: What is your religion?
a) LDS b) Catholic c) Jewish ­questions must be mutually exclusive (you can pick one answer)
­questions must be exhaustive (all possible answers have been provided)

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14
Q

Hypothesis

A

a. Characteristics, Testing

● Null: it’s the hypothesis that shows there is n o relationship. Statement of equality. X=Y (this is the same there is no difference).
○ ex. there will be no difference in husbands and wives satisfaction. Shows there is no relationship between gender and satisfaction.
○ We are trying to prove the null hypothesis wrong in every study and prove that there IS an association between two variables

● Non­directional: reflects differences. nature of it is left open.
○ there is an association between the 2 measurements in a hypothesis. No decided direction.
○ ex. There is a difference in husband and wives relational satisfaction. There is a difference, but we don’t know how or what it is.
○ Ex: Pornography affects marital satisfaction

● Directional hypothesis: will reflect differences as well, but it will reflect the nature of the difference. Reflects difference and nature of it (direction in which it changes)
○ predicts the direction the hypothesis will go.
○ ex. Husbands will have a higher level of marital satisfaction than wives. We know
(predict) there is a difference and what the direction is of the difference.
○ The more exercise I get, the happier I will be. As this one goes up, this other one
will also go up (or down).
○ Ex: Pornogrpahy n egatively affects marital satisfaction

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15
Q

Theoryとは

A

・An organization or framework of concepts that permits prediction of data.
・A set of related statements that explains a variety of occurrences

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16
Q

Functions of theory

A
  1. Helps to organize data
  2. Allows scientists to generate predictions for situations in which no data have
    been obtained
  3. Suggests possible directions for future research
17
Q

Levels and Kinds of theory

A
  1. General Theories
    Theoretical perspectives or orientations
    They offer explanations for a relatively broad range of events and can be applied to a variety of substantive concerns
    Examples: System Theory (could be used to study: Parent­child, siblings, in­laws
    relationships), Symbolic interaction, Social Exchange Theory
  2. Middle Range Theories
    These are substantive theories
    They offer explanations regarding a particular subject area
    Examples: Gottman’s theory of marital conflict; Baumrind’s theory of parenting
18
Q

Parts of a Theory

A
  1. Assumptions (also called Axioms, Postulates) Beliefs accepted as given or self ­evident
    Accepted as true without being tested
  2. Concepts
    The important ideas in a theory
    Example: in Larson’s and Holman’s theory of premarital predictors of marital satisfaction, important concepts would be: Background factors; individual characteristics, couple interactional processes, marital quality, etc
  3. Hypotheses (propositions)
    Suggests relationships or outcomes that might be expected if the model is
    accurate
    May be stated in If … then form
  4. Theoretical model
    Identifies all the important ideas in the theory (concepts) and how they are related to each other
    May be represented as a diagram Tentative, not conclusive
19
Q

Induction vs. Deduction

A

・Induction: “turning Into a theory”
○ You conduct research for the purpose of creating a theory
○ we go in with a study without thinking of any theory attached and then
with results and patterns we then create a theory
○ reasoning proceeds from a particular data to a general theory, used in
interpretive/qualitative research

● Deduction
○ You take a theory and then conduct research to get data
○ you already have a theory in mind, and then you collect data to support
that existing theory
○ reasoning proceeds from a general theory to particular data, used in quantitative research

20
Q

Literature Reviews

A

Looking at the research that has already been done. To find the gap, ensure that your contribution is meaningful.

The review of all the literature that is available on a research topic. Includes searching for research articles that have already been written on your chosen topic. Can result in writing a paper citing all of the work that has already been done on the topic, along with what more you intend to find out about the subject through research.

  1. determine topic and narrow it
  2. library research using search engines (focus on primary sources, key articles)
    a. PsycInfo & Cited References
  3. Summarize important information (findings, samples, methods)
  4. Look for comparisons, contrasts among articles to integrate findings.

Provides overview of the research area ( theories and research) Determines if research question has been definitively answered

a. Identifies gaps in researched areas
b. makes sure your contribution is meaningful to the body of knowledge existent

21
Q

Measurement

A

・You can measure anything that exists •Doesn’t mean that measurement is easy
・Most variables in our research are made up (Variables are often ambiguous, Can be measured many different ways)

22
Q

Terminology

A

•Concept :words that express generally agreed upon meaning(examples: biological sex, depression, intelligence, prejudice) Agreement upon the concept helps us measure it.
•Indicators: ( definition: Observation that we believe reflects the concept of interest. Indicates presence or absence of the concept). Used to conceptualize variables. i.e. indicator for prejudice is does person use racial slurs?
Indicators have to be: Real observations, Specific, Interchangeable
•Dimensions: specific aspect or subcategory of indicators for a concept. Concepts often have several dimensions. Recognizing different dimensions of a concept helps us refine research (sometimes only study one dimension of a concept)
An Example: Center for Epidemiological Studies Depression (CES­D) Scale

23
Q

Conceptualization and Operationalization

A

・Conceptualization-Theory
・Operationalization-Measurement

  1. Conceptualization is the refinement and specification of abstract concepts
    Taking a vague concept and clarifying it in more detail (example: By prejudiced, I mean someone who uses racial slurs.) Use indicators to clarify concepts.

2.Operationalization is the development of specific procedures(operations)to observe concepts. HOW concepts/indicators are measured.
•Reliability and Validity
Must be clear about these to understand importance of measurement in research

24
Q

3 Definitions for the levels of measurement

A
  1. Real Definitions: The “true” concept
  2. Nominal Definitions: Your definition of the concept
    •(create nominal definitions with conceptualization)
    •Refining the abstract concept
  3. Operational Definition
    •(create operation definitions by selecting the indicators you will use)
    •Specific research procedures to measure a concept

Single or multiple measures
Some concepts only need one measure (gender, age)
Some concepts may require multiple measures (more complicated concepts, primary variable of interest. Examples: marital quality, depression, racism. etc)

25
Q

2 Ways to Measure/Operationalize a Concept

A
1. Open­Ended Questions:
 •No response set provided
2. Closed­Ended Questions:
 •Includes categorical response choices 
 •Response choices must be...
a. Mutually Exclusive 
b. Exhaustive
26
Q

2 Considerations when Operationalizing a Concept

A
  1. Range of your measure
    •Must have exhaustive list of response choices
    •Range of responses can vary
  2. Precision of your measure
    •The detail of your measurement categories