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Related Concept Videos

Surveys02:16

Surveys

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Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
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Factorial Design02:01

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Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
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Self-Evaluation: Self-Enhancement and Self-Verification03:00

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Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
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One-Way ANOVA01:18

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One-way ANOVA analyzes more than three samples categorized by one factor. For example, it can compare the average mileage of sports bikes. Here, the data is categorized by one factor - the company. However, one-way ANOVA cannot be used to simultaneously compare the sample mean of three or more samples categorized by two factors. An example of two factors would be sports bikes from different companies driven in different terrains, such as a desert or snowy landscape. Here, two-way ANOVA is used...
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Response Surface Methodology01:16

Response Surface Methodology

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Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
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Reliability and Validity01:29

Reliability and Validity

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Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
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Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
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Satisfaction with asynchronous e-learning: An exploratory factor analysis of the Learner Satisfaction with

Peter M Sinclair1, Ashly Kable2, Christopher J Oldmeadow3

  • 1Faculty of Health, University of Technology Sydney, Ultimo, NSW 2007, Australia.

Nurse Education in Practice
|February 9, 2024
PubMed
Summary
This summary is machine-generated.

A new instrument, the Learner Satisfaction with Asynchronous e-Learning (LSAeL), was developed and psychometrically tested for asynchronous e-learning satisfaction. The LSAeL instrument demonstrates acceptable construct validity, with further testing recommended.

Keywords:
Construct validityContent validityExploratory factor analysisLearner satisfactionOnline learningUser experience

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Area of Science:

  • Educational Technology
  • Psychometrics
  • Online Learning

Background:

  • Existing e-learning satisfaction tools may not capture nuances of asynchronous learning.
  • Need for a validated instrument to measure learner satisfaction in asynchronous e-learning environments.

Purpose of the Study:

  • To develop and psychometrically test the Learner Satisfaction with Asynchronous e-Learning (LSAeL) instrument.
  • To evaluate the content, face, and construct validity of the LSAeL instrument.

Main Methods:

  • Methodological study involving a two-stage validation process.
  • Expert panel review for content and face validity, using content validity index and modified kappa coefficient.
  • Exploratory factor analysis (EFA) on data from 237 nursing students to determine construct validity.

Main Results:

  • Exploratory factor analysis identified a seven-factor solution with 30 items as the best fit.
  • The seven-factor solution explained 86.1% of the total variance.
  • The LSAeL instrument demonstrated acceptable construct validity.

Conclusions:

  • The LSAeL instrument is a psychometrically sound tool for measuring learner satisfaction in asynchronous e-learning.
  • Instrument development is iterative, requiring further validation across diverse cohorts and settings.