IBM SPSS for Introductory Statistics: Use and Interpretation

Morgan, George A.; Barrett, Karen Caplovitz; Leech, Nancy L.; Gloeckner, Gene W.

doi:10.4324/9780429287657

Cited by 319 publications

(455 citation statements)

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“…The data were analyzed using Statistical Packages for Social Sciences (SPSS) software packages version 20.0 (Morgan et al, 2004). To compare the differences between the wealth group livestock holding, nutrient requirement and methane emission rates: one-way analysis of variance (ANOVA) was used.…”

Section: Resultsmentioning

confidence: 99%

Estimation of Livestock Methane Emissions in the Extensive Crop-Livestock Farming Areas of Bale Highland, Oromia, Ethiopia

Defar¹,

Molla²,

Berhane³

2018

Preprint

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The study was conducted in the potential mixed farming areas of Bale highland to estimate livestock methane emissions. Using multi-stage purposive sampling, 156 households of the three wealth groups were selected based on their livelihood assets as described under methodology. Structured questionnaires, focus group discussions, key informants interview and field visits were the employed methods during the study. Feed nutrient balance was estimated based on the demand and supply while the livestock methane emissions were estimated according to the IPCC guidelines. Descriptive statistics and one-way ANOVA tests were used to analyze the data. Cattle were the dominant (84.25%) livestock owned by the households. The estimated enteric CH4 emission rate from mature cattle, growing cattle, sheep >1 year, sheep ≤ 1 year, horse and donkey were significantly (P<0.001) higher for the better wealth group while mature cattle (69.78%) shared the highest rate. Though, higher emission rates credited to the large number of animals in the area, cattle stay crucial to the livelihoods of the households, beside the major sources of CH4. In conclusion, the estimated CH4 emissions should be focus areas of interventions. Therefore, proper husbandry and quality feed supply and promotion of farm level livestock technologies should be practiced wisely to increase productivity and protect the environment from emissions of the livestock sector.

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Section: Resultsmentioning

confidence: 99%

Estimation of Livestock Methane Emissions in the Extensive Crop-Livestock Farming Areas of Bale Highland, Oromia, Ethiopia

Defar¹,

Molla²,

Berhane³

2018

Preprint

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“…Reliability is when measurement is consistent and means that the survey instrument and the results are the same for the first and second tests (Creswell, 2009). It is important to assess the reliability of data prior to conducting inferential statistics to help answer research questions (Morgan et al, 2013). Reliability refers to the consistency and stability of the scores obtained through measurements (Creswell, 2012).…”

Section: Phase 3: Testing For Validity and Reliabilitymentioning

confidence: 99%

A study of how culture, collaboration, and advocacy influence data-driven decision making at community colleges

DeJear¹

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“…Most authors neglect the issue of appropriateness of different measures of ES for different research designs. The vast majority of texts only mention d or r. There are of course exceptions; for example Morgan et al (2013) provide an excellent and lengthy account of the relevant issues. One reason for the neglect may be the fact that there is no consensus on this issue (Levin & Robinson, 1999).…”

Section: What Are the Appropriate Indices Of Es?mentioning

confidence: 99%

Misunderstandings and omissions in textbook accounts of effect sizes

Morris

2019

British J of Psychology

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There have been frequent attempts in psychology to reduce the reliance on null hypothesis significance testing (NHST) as the criterion for establishing the importance of results. Many authorities now recommend the reporting of effect sizes (ESs) as a supplement or alternative to NHST. However, there is extensive specialist literature highlighting problems associated with the use and interpretation of ESs. A review of the coverage of ESs in over 100 textbooks on statistical analysis in behavioural science revealed widespread neglect of ESs and the relevant critical issues that have widespread coverage in the more specialist literature. For example, many textbooks claim that ESs should be interpreted as a simple measure of the practical real‐world importance of a result despite the fact that ESs are profoundly influenced by features of design and analysis strategy. We seek to highlight areas of misunderstanding about ESs found in the pedagogical literature in the light of the more specialist literature and make recommendations to researchers for the appropriate use and interpretation of ESs. This is critical as statistics textbooks have a crucial role in the education of researchers.

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IBM SPSS for Introductory Statistics: Use and Interpretation

Cited by 319 publications

References 0 publications

Estimation of Livestock Methane Emissions in the Extensive Crop-Livestock Farming Areas of Bale Highland, Oromia, Ethiopia

Estimation of Livestock Methane Emissions in the Extensive Crop-Livestock Farming Areas of Bale Highland, Oromia, Ethiopia

A study of how culture, collaboration, and advocacy influence data-driven decision making at community colleges

Misunderstandings and omissions in textbook accounts of effect sizes

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