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Table 2 Exploratory Factor Analysis of the OPQoL-brief questionnaire – Rotated Component Matrix. Estimates for factor loadings, extraction sums of squared loadings and Cronbach’s alpha

From: Assessing quality of life in older adults: psychometric properties of the OPQoL-brief questionnaire in a nursing home population

Model-1 (3 factors, 13 items)

OPQoL1 I enjoy my life overall

.489

.565

.706

OPQoL2 I look forward to things

 

.713

.632

OPQoL3 I am healthy enough to get out and about

.505

.367

.501

OPQoL4 My family, friends or neighbours will help me if needed

 

.569

.634

OPQoL5 I have social or leisure activities/hobbies that I enjoy doing

 

.807

 

OPQoL6 I try to stay involved with things

 

.800

 

OPQoL7 I am healthy enough to have my independence

.701

  

OPQoL8 I can please myself what I do

.576

.520

.455

OPQoL9 I feel safe where I live

.525

 

.617

OPQoL10 I get pleasure from my home

.719

 

.347

OPQoL11 I take life as it comes and make the best of things

.601

 

.591

OPQoL12 I feel lucky compared to most people

.690

 

.340

OPQoL13 I have enough money to pay for household bills

  

.684

Cumulative % of total variance explained

34.967

48.199

56.326

Cronbach’s Alpha (number of items)

.75 (6)

.66 (3)

.62 (4)

  1. Extraction Method: Principal Component Analysis. Rotation Method: Promax with Kaiser Normalization. Values< 0.32 are suppressed. Model-1: Three components extracted based on Eigenvalue > 1. Total variance explained: 54,325. Rotation converged in 8 iterations. Listwise N = 181