Controls to Reduce Threats to Validity and intro to statistics: The normal distribution Flashcards

1
Q

what is controlling?

A

a procedure aimed to reduce potential threats to the validity. There are four types of control procedures.

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2
Q

What are the three parts of”general control procedure”?

A
  1. Preparation of the setting:structuring the research to eliminate confounding variable, simplify the situation and increase the control over the independent variable. –> Increasement in internal and external validity.
  2. Response Measurement: selecting and preparing measuring instruments based on reliability and validity (increases statistical and construct validity)
  3. Replication
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3
Q

What are the three types of replication?

A
  1. Exact replication
  2. systematic replication: variation of the procedures in a systematic way, small changes based on theory
  3. conceptual replication: replicating the original study, while using differently operationalized constructs.
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4
Q

How can we control both, subject and experimenter effect?

A
  1. Double blind procedures

2. automation

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5
Q

How can we control subject effects?

A

Single Blind procedures

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6
Q

What is the advantage of “objective measuring scales”?

A

that we dont have differences in results across different experimenters using the instrument

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7
Q

multiple researchers show e.g. 85% agreement in their results, what can beused to measure this inter-rater relationship

A

“kappa” (cohen’s kappa coeffficient) It is generally thought to be a more robust measure than simple percent agreement calculation, since κ takes into account the possibility of the agreement occurring by chance.

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8
Q

Deception

A

intentionally deceiving. can be done by using a placebo

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9
Q

what is the balanced placebo design?

A

it’s a 2x2 factorial design, with (1) receiving treatment/not receiving treatment and (2) being told they are receiving placebo/not being told they are receiving a treatment…can reduce expectancy effect, but requires a debriefing after the study.

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10
Q

From what population can the sample be selected?

A

From the available population, which is part of the target population (populationof interest to the stdy) , which is part of the general population.

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11
Q

What are the ways to select a reprentative sample?

A
  1. Random sampling 2. stratified random sampling: seprate sampling from different sub-populations. 3. Ad hoc sampling: creating a sample from the available population
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12
Q

Another way to control? :)

A

multiple observers

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13
Q

Ad hoc samples

A

Random and stratified
random samplings from a target population are important in some research, such as in political
surveys, but most psychological research does not employ random selection. Instead, psychologists
usually draw participants from an accessible population, such as introductory psychology students
or children from local schools. This type of sample, called an ad hoc sample, is used in most
psychological research. Furthermore, ethical considerations require that participants be volunteers.

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14
Q

free random assignment

A

participants are randomly asigned to the research conditions, also contributing to the Initial Equivalence of the groups.

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15
Q

Blocked random sampling

A

When we randomize within blocks, we use random assignment

to allocate blocks of participants to each of the available groups.

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16
Q

Matched random assignment

A

This procedure involves matching
participants on a relevant variable, such as age or IQ, and then randomly assigning the matched
participants to groups, with one matched participant per group. (especially used in small samples)

17
Q

What can be a disadvantage of keeping a variable constant by matching? (control a variable)

A

One disadvantage to matching by holding the variable constant is that it reduces external
validity because it reduces the ability to generalize the results of the study to the larger population.
For example, if you used only adult participants, you would be unable to generalize with confidence
to adolescents.

18
Q

In random sampling: What variables can be controlled and which can not (or only hardly)

A

you can control some subject effects but usually not those that are environmental and setting related variables, such as time of day, room temperature, or background
noise. For these variables, the general control procedures discussed earlier are used.

19
Q

Control through experimental design:

A

Routinely including these two basic control procedures—(1) inclusion of appropriate
control groups or conditions, and (2) random assignment of participants to conditions—will control
most potential confounding.

20
Q

A good research design follows these five additional procedures:

A
  1. A clearly stated research hypothesis concerning predicted causal effects of one variable on
    another
  2. At least two levels of the independent variable
  3. Random assignment of participants to conditions
  4. Specific and systematic procedures for empirically testing the hypothesized causal
    relationships
  5. Specific controls to reduce threats to internal validity
21
Q

Whats the difference between discrete and continuous distributions?

A

Discrete distributions have no numbers between the full numbers (after 4 comes 5)

Continuous distributions have infinite numbers between the numbers (between 4 and 5)

22
Q

What are the characteristics of a normal distribution?

A
  1. it has the shape of a bell
  2. is symetrical around the mean µ
  3. Many variables that vary by chance are approximately normally distributed, with mean and standard deviation free to vary
  4. µ and and σ deviation are variable
23
Q

What is the standard normal distribution?

A

A normal distribution with μ = 0 and σ = 1. Any normal distribution can be transformed to a standard normal distribution:
z=(x-µ)/σ