Reference no: EM132460560

Assignment - Fitting Measurement Models for Ordered-Categorical Indicators

TASK DESCRIPTION - Students will fit measurement models for ordered-categorical indicators using secondary data. Students will formulate research questions or hypotheses, analyse the data, interpret the results, and report the findings

- Notes:

- (report standardized and unstandardized

- Look at the fundemantal order

- All about ordinal data

- WISMV (incluse in the letraure revivw what is it and the use of it ) chapter 5

- Look at chapter 4 from book CFA page 88

- Look at chapter 28 in handbook of structural equation

- AMOS to help you draw the graph

- Look page 99 (SEM with Mpluse .. chapter 5 page 132

- Look at the fundamental order

- Figure 7.7 publication of American manual ...etc

The first assignment is all about building a measurement model for ordered categorical indicators.

Hence, the research question should be "How and to what extent are attitudes toward science items (i.e., observed variables) linked to their underlying latent factors (i.e., interest in science, instrumental motivation to learn science, science self-efficacy, and epistemological beliefs about science)?"

Format -

Title:

Abstract:

Introduction:

Research Question: How and to what extent are attitudes toward science items (i.e., observed variables) linked to their underlying latent factors (i.e., interest in science, instrumental motivation to learn science, science self-efficacy, and epistemological beliefs about science)?

Methodology

- Sample data:

- Measures:

Data analysis:

ENJ: enjoyment of science (five observed variables)

INT: interest in science(five observed variables)

INST: instrumental motivation to learn science (four observed variables)

SSE: science self-efficacy (eight observed variables)

SATS: student attitudes towards science.

Results and discussion:

Table 1. Summary of Categorical Proportions

Table 2. Goodness-of-Fit Statistics

Table 3. Unstandardized Parameter Estimates

Table 4. Standardized Parameter Estimates

Table 5. Reliability Estimates (R2)

Table 6. Correlation weighting factor

Conclusion, implications, and limitations:

References: (APA).

Attachment:- Assignment File.rar