Research & Data Collection Flashcards

1
Q

Subjective Data

A

Perceived through client descriptions of feelings, experiences, and perceptions

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2
Q

Objective Data

A

“Facts” related to clients situation

Data that can be observed

Examples: disorientation, failing academics, legal issues, etc.

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3
Q

Research Design

A

Ensures the evidence or data collected enables the research question to be answered

  1. Identify & justify the research problem clearly
  2. Review previously published literature associated with the problem area
  3. Clearly and explicitly specify hypothesis (i.e. research question) central to the problem
  4. Effectively describe the data that will be necessary for an adequate test of the hypothesis and EXPLAIN HOW DATA WILL BE OBTAINED
  5. Describe the METHODS OF ANALYSIS that will be applied to the data in determining whether or not the hypothesis are true or false
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4
Q

Experimental Research

A

Randomized experiments; randomization of subjects or groups

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5
Q

Quasi-Experimental Research

A

Use of intervention and comparison groups

Assignment to groups is nonrandom

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6
Q

Pre-Experimental Research

A

Study contains intervention group only and lacks comparison/control group

Weakest

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7
Q

Single-Subject Research

A

Aims to determine whether an intervention has the intended impact

Ideal for studying behavioral change exhibited as result of treatment

Can show causal effect between intervention and outcome

Examples:

Pre- & post- test

Single-case Study (AB): comparison of
(A) behavior before treatment [baseline]
(B) behavior after the start of treatment [intervention]

Reversal (ABA)
Multiple Baseline (ABAB)

Flexible, simple, low cost

Low in EXTERNAL VALIDITY d/t small number of participants, limiting ability to GENERALIZE findings to a wider audience

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8
Q

Inter-Rater or Inter-Observer Reliability

A

Assesses the degrees to which the different raters/observers give consistent estimates of the same phenomenon

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9
Q

Test-Retest Reliability

A

Assesses the consistency of a measure from one time to another

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10
Q

Parallel Forms Reliability

A

Assesses the consistency of the results of two tests constructed in the same way from the same content domain

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11
Q

Internal Consistency Reliability

A

Assesses the consistency of results across items within a test

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12
Q

Face Validity

A

Examines whether the assessment’s stated aims effectively measure the constructs

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13
Q

Content Validity

A

Examines whether all of the relevant content domains are covered

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14
Q

Criterion-Related Validity

A

Examines whether constructs perform as anticipated in relation to other theoretical constructs

Includes:
Predictive Validity, Concurrent (distinguished) Validity, Convergent (similar) Validity, Discriminant (differ) Validity

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