Mod 2, Scientific Enterprise Flashcards

1
Q

Define operational definitions.

A

carefully structured variables that everyone can agree on

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2
Q

Define replicability.

A

: repeating the research effectively

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3
Q

Define social norming and its relation to binge drinking among college students/

A

research has found that students tend to overestimate the amount that their peers are drinking, and then therefore try to meet these inflated norms (can be useful to reduce binge drinking rates)

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4
Q

Define variability.

A

Large or small variability: amount of variability per group

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5
Q

Define deviation.

A

Deviations: arrows that represent the distance between the average and the actual number or figure
Below average: negative deviation
Above average: positive deviation

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6
Q

Define the FINER model of research questions.

A

Feasible (you have the time, resources, and expertise to explore)
Interesting (interesting to yourself and other scientists)
Novel (closes an important gap in understanding: not a repeat of other research)
Ethical (meets all ethical guidelines)
Relevant (potential to improve human life)

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7
Q

Define descriptive research questions.

A

Describe a particular phenomenon
Simplest type of scientific research
Crucial step in testing whether our observations or expectations match the reality of the whole group
Operationalization: must be stated in a form that allows it to be measured

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8
Q

Define Piaget’s concept of Assimilation and Accommodation.

A

Assimilation: information is lumped into the category of what you already know (a child naming all cats and squirrels as dogs until he learns the individual differences between them)
Accommodation: requires a modification of the old information to incorporate new: child understanding that cats aren’t dogs

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9
Q

Define explanatory studies and its relation to group differences in research.

A

often designed to find out whether there are systematic differences based on individual or group characteristics in research (differences between men and women in drinking behavior)

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10
Q

Define covariation (correlation/association) positive and negative.

A

Covariation: two variables in your model must be related; as one of the variables changes, so does the other
Positive Covariation: both variables change in the same direction: they either increase or decrease together (rising from left to right)
Negative Covariation: variables change in opposite directions; inverse relationships (falling from left to right)
No-Covariation: the change in one variable has no major impact on the other at all (no distinct pattern)

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11
Q

Define Predictive research questions and the three requirements of them.

A

ocused on what will happen in the future
Provides understanding of how groups behave and help us understand where we should focus our attention for future research or intervention programs
Allows us to estimate scores on one variable from information about one or more other variables
-Needs covariation
-Needs temporal relationship
-Must rule out third variable problem

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12
Q

Define a temporal relationship between variables.

A

If variable X CAUSES variable Y—Y MUST HAPPEN AFTER X OCCURS BECAUSE X IS CAUSING IT
Example: you must binge drink FIRST to then experience a negative consequence AFTER

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13
Q

Define confounds/third variable problem.

A

Other explanations that could create doubt about the relationship between the variables must be ruled out
Confounds: MUST RULE OUT THE THIRD VARIABLE PROBLEM, but it can never be fully eliminated

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14
Q

Hourglass Model of research and four main areas of focus.

A

-A review of the literature including background information and theory (narrow focus toward data collection)
-Methods (narrows focus toward data collection) and data collection
-Analysis of results (broaden focus back to the research agenda)
Discussions and conclusions (broaden focus back to research agenda)

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15
Q

Define the goals of theories.

A

Describe a relationship between two or more variables (descriptive in nature)
Describe the mechanisms of the relationship between the variables: why two variables are related and HOW they impact each other
Identify an answer to the researcher’s question

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16
Q

Outline the steps of the Scientific Method. LHVMDIL

A

(1) Literature Review
Discover what other scientists have discovered about our topic already; read widely enough to ensure we can summarize the current state of the research area we wish to pursue (ONLY use academic journals)
(2) Hypotheses
Testable and directional predictions
Highly educated guess based on your scientific understanding of a phenomenon
(3) Concrete Variables
Observable, measurable variables (operationalized variables)
Must be inclusive enough to ensure you capture most of the cases, but exclusive enough to outrule similar or overlapping entities
(4) Selecting Methodology
How the study is conducted
Selecting sample of people, type of instruments or equipment needed, method of data collection, and statistical analyses
(5) Data Analysis
Results are systematically reviewed to identify patterns within the data
Patterns can be aspects in a single variable or in the relationship between variables
6) Interpreting the Results
Examining the patterns in the data and comparing them to the hypotheses that we have generated
Examine the specific findings from our study’; the specific relationships we demonstrated in the study
7) Limitations/Future Research Applications
Critique quality of the work

17
Q

Define scientific procedure.

A

includes details about how participants are approached for inclusion in study, where the study takes place, how the data are collected, what types of survey questions, stimuli the participant experiences (MUST BE DESCRIBED IN GREAT DETAIL FOR REPLICATION PURPOSES)

18
Q

Define the three types of findings in data analysis.

A

firstly the participant characteristics (age, race, gender, income, etc.), characteristics of the individual variables that we are using to represent the variables in our research model, lastly run a statistical test to test the models that we proposed (relationship between variables, strength and direction of the relationship)

19
Q

Define the acronym WEIRD and its implications for research.

A

W-E-I-R-D: Western, Educated, Industrialized, Rich, Democratic: most of the population are going to come from this group, when it does not reflect the 88% of other individuals living under other circumstances
Science can only answer certain types of questions: rarely able to examine a phenomenon completely; we often lose the complexity of a phenomenon in operationalized variables
Samples, statistical analyses, and procedures have compromise confidence in results

20
Q

Define direct replication and conceptual replication.

A

direct replication repeats the original study as closely as possible (VERY DIFFICULT TO ACHIEVE)
Conceptual replication: the methods are not exactly the same as the original study, but the heart of the study is the same; includes a slight extension or generalization from a direct replication

21
Q

Define the “File Drawer” problem in psychological research.

A

research community only ever hears about significant results because these are the results that are selected for dissemination in scientific articles and at scientific conferences; or only the one successful study is published out of the other many failed attempts

22
Q

Define fishing/P-hacking in data.

A

Running statistical tests until the significant result or desired result is produced or found
Can be eliminated by pre-registering the proposed plan of research, including statistical analyses
Serves as a contract for the researcher that they must adhere to and outlines in detail the methodological and analytic decisions made prior to data collection
Can also be eliminated by two-stage peer review: review before and after result (REGISTERED REPORT)

23
Q

Define Construct Validity, Internal Validity, external validity, concurrent validity, and causal concept of validity.

A

External Validity: ability to be able to generalize results to the public
Internal Validity: results represents true phenomena not due to fluke
Construct Validity: making sure that the tool that you’re using measures what it’s supposed to: if you’re measuring intelligence, an IQ test might not actually be your best measure (measuring cardiovascular)