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7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
see if variables confirm your predictions about variable structure [Exploratory Factor Analysis]
Confirmatory
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
Objectives of Factor Analysis - How objectives fit with the RQ Specify Unit of Analysis Factor Analysis Outcomes Variable Selection [Exploratory Factor Analysis]
Stage 1
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
R Factor vs. Q Factor R Factor identifies latent variables (not easily observed) Q is used to reduce people into groups [Exploratory Factor Analysis]
Unit of Analysis
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
Dimensions that describe data in a small number of concepts [Exploratory Factor Analysis]
Factor Analysis Outcomes: Data Summarization
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
Extends summarization by providing factor score for each dimension (factor) [Exploratory Factor Analysis]
Data Reduction
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
Use appropriate judgement Dont get garbage in, garbage out [Exploratory Factor Analysis]
Variable Selection
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
Calculate input data - R vs. Q Variable selection - mostly metric ~ 5 metrics for proposed dimensions Sample Size - 50 minimum; 100 to 200 preferred 5x as many subjects as proposed variables 10:1; 20:1 is better [Exploratory Factor Analysis]
Stage 2: Designing a Factor Analysis Rules of Thumb
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
Some structure does exist Patterns are appropriate Homogeneous sample [Exploratory Factor Analysis]
Stage 3: Assumptions Conceptual
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
Normality Multicolinearity is desired - Should be > .30 - Partial correlations > .7 are awesome [Exploratory Factor Analysis]
EFA Assumptions Statistical
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
Predicts if data is likely to factor well based on correlation and partial correlation - Identify which factors to drop [Exploratory Factor Analysis]
KMO Statistic
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
> .5 is required to proceed > .7 or .8 is very good If <.5, remove variable with lowest KMO score one at a time until KMO scores are > .5 [Exploratory Factor Analysis]
KMO Rules of Thumb
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
Examines entire correlation matrix Stat. sig. at p < .05, meaning correlations exist among the variables [Exploratory Factor Analysis]
Bartlett Sphericity
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
Select Factor Method Determining number of Factors [Exploratory Factor Analysis]
Stage 4: Deriving Factors and Assessing Fit
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
30 or more variables > .6 communality number - Use component analysis when data reduction is necessary - Common factor occurs for more theoretical basis [Exploratory Factor Analysis]
Selecting Factors RULE OF THUMB
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
eigenvalues > 1.0 scree test for common variance enough to meet specified common variance (usually >.6) [Exploratory Factor Analysis]
Determining number of factors RULE OF THUMB
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
- Examine the factor loadings - Identify highest loading - Delete cross-loadings - Assess communalities (remove <.5) - Label the factors [Exploratory Factor Analysis]
Interpreting the Factors Steps
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
Estimate the factor matrix: - Examine factor loadings - correlation of each variable and the factor - • Higher loadings = representative of factor [Exploratory Factor Analysis]
Process of Interpretation
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
Reference axes are turned about the origin until other position is reached. Graphical way to see what factors correlate with what factors -Oblique Rotation - not maintained at 90 degrees Orthogonal Rotation - 90 degrees QUARTIMAX – simplifies rows • Maximizing a variables loading on a single factor VARIMAX – simplifies columns (better results) • Making # of high loadings as few as possible • EQUIMAX - combination Orthogonal Rotation - 90 degrees [Exploratory Factor Analysis]
Factor Rotation
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
+- > .5 are considered practically significant (consult literature for specific discipline) Loadings > 1.7 indicative of well defined structure Sample Size should be > 100 for practical significance [Exploratory Factor Analysis]
Factor Loading Criteria
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
Confirmatory perspective - Split the Sample, or analyze with separate sample Assess factor structure stability - look at sample size and the number of cases per variable Detect influential observations [Exploratory Factor Analysis]
Validation of Factor Analysis
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
Select variable with highest loading factor as a surrogate representative for a particular factor dimension Replace original variables with small set of variables created from summated scales - >.7 cronbachas alpha convergent validity - like other scales discriminate - differ from other like scales nomological valid - like the theory that shaped it [Exploratory Factor Analysis]
Additional Uses of Factor Analysis Results
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
Help with a basic understanding of data and the relationships between variables To ensure the data has met all the requirements for the analysis (assumptions, outliers) [Exploratory Factor Analysis]
Why Examine Data?
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
Assess whether data was entered correctly. Could check data against original data. [Exploratory Factor Analysis]
First Step to Managing Data
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
Histogram - determines shape of distribution Scatterplot - linear or curvlinear relationship between 2 variables Boxplot - group differences [Exploratory Factor Analysis]
Graphical Examination of Data
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
identify the patterns associated with missing data to understand how missing data is missing [Exploratory Factor Analysis]
Missing Data
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
Can reduce sample size Can distort results and introduce bias [Exploratory Factor Analysis]
Impact of missing data
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
Dummy code variable - one group with missing and one group with none T-Test other variables as the DV against the missing ones If no difference, feel safe deleting values If difference, there are steps to take [Exploratory Factor Analysis]
If no Pattern is found,
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
Replace values with numbers from prior knowledge or educated guess replace values with variable mean Replace with group mean. little reduction in validity Use regression to predict missing values [Exploratory Factor Analysis]
If pattern, or too many missing data
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
Determine type of missing data - Ignorable (delete) - Nonignorable (dont delete) [Exploratory Factor Analysis]
Identifying missing data
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
10% ignored, except in nonrandom fashion ii. Always see if cases with no missing data must be sufficient to run the analysis iii. >= 15% are candidates for deletion iv. >50% delete data, unless variable is essential to model [Exploratory Factor Analysis]
Determine Extent of Missing Data
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
Missing at Random (MAR - not random) i. Missing values of Y depend on X, but not on Y. i.e., one gender is significantly different than another b. Missing Completely at Random (MCAR) i. Cases with missing data are indistinguishable from cases with complete data. [Exploratory Factor Analysis]
Diagnose the Randomness of the Missing Data Processes
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
MAR data process – apply specific modeling approach (EM approach) b. MCAR – i. use only valid data – Listwise method, Parwise (all available data) ii. replacement values – case substitution, hot or cold deck, mean substitution, [Exploratory Factor Analysis]
Select the Imputation Method (estimating the missing values based on the available values)
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
i. < 10%, any imputation method can be applied ii. 10% - 20% - all available, hot deck, regression iii. > 20% regression method for MCAR, model method for MAR [Exploratory Factor Analysis]
Imputation Method Rules of Thumb
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
1. Determine the Type of Missing Data (ig. or not) 2. Determine the Extent of the Missing Data 3. Diagnose the Randomness of the Missing Data Processes 4. Select the Imputation Method (estimating the missing values based on the available values) [Exploratory Factor Analysis]
Steps to Identify Missing Data
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
• distinct difference from other observations/responses • Is the observation/response representative of the population? • Check for both univariate and multivariate outliers [Exploratory Factor Analysis]
Outliers
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
• Data entry mistake • Missing value code not specified • Outlier not a part of population • Part of population, but is extreme: o Delete, change to fit normality but still keep extreme, transform (if normality is met) [Exploratory Factor Analysis]
Reasons for Outliers
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
• 80 subjects or fewer, outliers are defined at standard scores > 2.5 • Larger samples, 4 standard scores • 2.5 to 4 SDs, if standard scores are not used [Exploratory Factor Analysis]
Identifying Outliers - Standard Score Rules
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
If you have a dichotomous variable with an extremely uneven split (i.e. 90 – 10 split, 90% say yes and 10% say no) this will produce an outlier. The only fix for this is to delete the variable. [Exploratory Factor Analysis]
• 90-10 split
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
very large standardized scores (z scores greater than 3.3) and that are disconnected from the distribution [Exploratory Factor Analysis]
• Univariate outliers
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
specific variable relationships – scatterplots with confidence intervals [Exploratory Factor Analysis]
• Bivariate outliers
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
are found by first computing a Mahalanobis Distance for each case and once that is done the Mahalanobis scores are screened in the same manner that univariate outliers are screened [Exploratory Factor Analysis]
• Multivariate Outliers
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
Normality - Skewness and Kurtosis Homoscadasity Homogeneity of Variance Homogeneity of Variance-Covariance Matrices [Exploratory Factor Analysis]
Assumptions
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
shape of the data distribution and its correspondence to a normal distribution • Skewness – the balance or the shift of the distribution. Can be positive (left shift) or negative (right shift). o Must be between -1 and 1 • Kurtosis – peaked or flat distribution is. o Must be less than 8 [Exploratory Factor Analysis]
Normality
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
the balance or the shift of the distribution. Can be positive (left shift) or negative (right shift). o Must be between -1 and 1 [Exploratory Factor Analysis]
Skewness
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
peaked or flat distribution is. o Must be less than 8 [Exploratory Factor Analysis]
Kurtosis
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
• Equal variances across independent variables • if both variables are normally distributed than you should have homoscedasticity [Exploratory Factor Analysis]
Homoscedasticity
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
variance in DV is expected to be the same for all levels of the IV. • Important for grouped data • SPSS gives the Levene’s test as a measure of homogeneity of variance. • Above .05, heterogeneous [Exploratory Factor Analysis]
Homogeneity of Variance
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
used for multivariate tests • an entry in a variance-covariance matrix using one DV should be similar to the same entry in a matrix using another DV. • formal test for this in SPSS is Box’s M [Exploratory Factor Analysis]
Homogeneity of Variance-Covariance Matrices
[]
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Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
• Done to: o Correct violations to assumptions o Improve correlations between variables recommended as a last resort only because of the added difficulty of interpreting a transformed variable • Common Transformations: • 1) square root, used when there is moderate skewness/ deviation, • 2) logarithm, used when there substantial skewness/ deviation and • 3) inverse, used when there is extreme skewness/ deviation [Exploratory Factor Analysis]
Data Transformations
[]
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Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
• impact of transformation – calculate ratio of variable’s mean to its SD o noticeable effects occur when ratio is < 4 • applied to IV, except when doing them for heteroscadacity • use variables in untransformed format when interpreting results [Exploratory Factor Analysis]
Transformation RULES OF THUMB
[]
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Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
• If you have a correlation between two variables that is .90 or greater [Exploratory Factor Analysis]
Multicollinearity
[]
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Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
two variables are identical or one is a subscale of another they are singular [Exploratory Factor Analysis]
Singularity
[]
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Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
• nonmetric IV that has two (or more) distinct levels that are coded 0 and 1 • act as replacement variables so that nonmetric variables can be used as metric [Exploratory Factor Analysis]
Dummy Variables
[]
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Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
• Analysis of single variables in a single relationship of set of relationships • Used for measurement, predicting and explaining, and testing hypotheses [Exploratory Factor Analysis]
What is Multivariate Analysis?
[]
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Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
• Linear combo of variables with empirically determined weights • Every subject has a variate value (Y’), which is the dependent variable, or the linear combination of the entire set of variables [Exploratory Factor Analysis]
Variate
[]
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Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
(Qualitative) o Nominal – labels/categories (i.e., occupation, gender, class rank) o Ordinal – ordered variable with specific order (i.e., first place, second place). Relative positions in ordered series. Distances are not equal and cannot be determined. (i.e., 7 point scale) [Exploratory Factor Analysis]
• Nonmetric Scales
[]
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Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
Quantitative) o Interval – No natural zero point; equal differences between scale points (temperature) o Ratio – natural zero point (i.e., money or weight) [Exploratory Factor Analysis]
Metric Scales
[]
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Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
• Degree to which the observed values do not represent the true values. • Caused by: o Data entry, imprecise measurement scales [Exploratory Factor Analysis]
Measurement Error
[]
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Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
o Degree to which measure accurately represents what it is supposed to represent • Measuring total income by asking for disposable income [Exploratory Factor Analysis]
Validity
[]
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Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
o Degree to which measure accurately represents true value AND is error free • If repeated measures of a variable are consistent, they are reliable [Exploratory Factor Analysis]
• Reliability
[]
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Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
o Probability of rejecting null hypothesis when it is true alpha, usually .05 [Exploratory Factor Analysis]
Type 1 Error
[]
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Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
o Probability of failing to reject a null hypothesis when it is false. Chance of not finding correlation when there is a correlation. Beta. [Exploratory Factor Analysis]
• Type 2 Error
[]
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Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
o Probability of rejecting the null hypothesis when it is false. Correctly finding a hypothesized relationship when one exists. 1 – Beta o About .8 or higher [Exploratory Factor Analysis]
• Power
[]
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Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
• Sample Size – Increase sample size, increase power • Alpha Value – increase alpha, power increases. • Effect Size - The magnitude of the effect of interest. Whether the correlation between variables, or the observed relationship is meaningful. • Small effect sizes require larger sample sizes [Exploratory Factor Analysis]
Power Determined by:
[]
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Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
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7fa418fc__and_EFA_Flashcards___Cram_com__Exploratory_Factor_Analysis
• Establish both practical significance (“So What?”) and statistical significance • Recognize that sample size affects all results o Power, effect size, no generalizability (small sample size), find anything (large sample size - > 400) • Know Your Data. o Outliers, Assumptions, Missing Data • Strive for Model Parsimony o Don’t put in irrelevant variables, which could lead to multicollineraity (degree to which any variables effect can be attributed to other variables) • Look at Your Errors o Assess the validity of measurement; unexplained relationships • Validate Results o Results could be specific to the sample o Split sample into two subsamples and re-run analysis o Get separate sample o Employ bootstrapping, which is large number of subsamples from the samples [Exploratory Factor Analysis]
Guidelines for Multivariate Analysis
[]
Multivariate - Examining Data and EFA Flashcards - Cram.com
Exploratory Factor Analysis
http://www.cram.com/flashcards/multivariate-examining-data-and-efa-2075502
35/1438044271733.81_20150728004431-00022-ip-10-236-191-2_373642496_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
teichoic acid present thick layer of peptidoglycan
gram positive cell walls
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
Procaryotes
contains 70s ribosomes flagella composed of packets of protein called flagellin contain no membrane
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
peptoglycan
molecules composed of alternating molecules of NAG and NAM with amino acid bridging
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
eukaryotes
contains two large homologous chromosomes divides by simple mitosis
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
prokaryotic cell membrane
proteins act as enzymes to catalyze reactions mostly a bilayer of phospholipids proteins form channels may act as a selective barrier
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
cell membrane moves down between replicated DNA, peptidogycan is deposited between membranes, terminal spore is seen at the end of the bacillus, germination creates one bacteria,
which are correct about sporogenesis in bacteria
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
single flagella arrangement at each pole of the bacteria
amphitrichous
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
one flagella at the end of bacteria
monotrichous
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
two or more flagella at the end of bacteria
lophotrichous
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
all around the flagella of bacteria
peritrichous
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
capsule
A mucopolysaccaride that protects the bacteria from phagocytic cells in the body
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
staphylococci
cluster of cocci
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
ribosome
organelle that both eucaryotic and procaryotic cells
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
Mycoplasma
genera contains no cell wall
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
Pentose phosphate
pathway for producing riboses and deoxyriboses from glucose
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
Pyruvate acid
Glycolysis end product is
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
does not req. oxygen, generates net two ATP's per glucose, occurs in the cytoplasm, end product of two molecules of pyruvic acid, produes 2NADH's per glucose
Glycolysis
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
isomeres
two molecules with the same atoms but a different arrangement of the atom are
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
activation
amount of energy req. for chemical reaction to occur
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
substrate phosphorylation
PEP phosphoenolpyruvic acid to pyruvic acid best illustrates which phosphorylation
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
coenzyme
organic molecule that can supplement or attach to the active site so the substrate can fit
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
lyase
enzyme that removes atoms without water
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
active site
the competitive inhibitor bonds with the
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
catabolic-lg. molecule breaks down to sm. molecules
glucose to pyruvic acid, glucose to CO2 and water, fats(lipid) to fatty acids and glycerol can be describe by
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
Hook
who coin the word "cell"
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
Janssen
the first microscope was used by
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
developed sewer system, developed tech. in food perservation, constructed aquaducts
Roman culture did what?
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
promoted boiling of water,
Greeks culture did what
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
developed applications of chemotherapy,
Egyptian culture did what
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
developed isolation of sick people,
Hebrew culture did what
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
Linneaus
who developed scientific nomenclature
[]
Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
15 billion years ago
The big bang occured about
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Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
ferment a variety of products like acetone, play a role as decomposers, play a role in production of a variety of foods, make drugs like insulin
bacteria and other microorganisms have the ability to
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Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
mycolgy
study of fungi is called
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Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json
1994cad8_rs_1_4_5_Flashcards___Cram_com__about_gram_negative_cell_walls
sum of the chemical reactions in an organism all the chemical reactions in the cell
metabolism
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Microbiology Chapters 1-4-5 Flashcards - Cram.com
Which are correct about gram negative cell walls
http://www.cram.com/flashcards/microbiology-chapters-1-4-5-882440
35/1438042989443.69_20150728002309-00221-ip-10-236-191-2_371585387_0.json